From b205bc0cde4d1da42907860667a1e19f931eaaf5 Mon Sep 17 00:00:00 2001 From: AntonMu Date: Fri, 30 Oct 2020 15:19:54 -0700 Subject: [PATCH] feat: Add support for Weights and Biases Use www.wandb.ai to track your experiments online and pick the best hyperparameters. --- .gitignore | 3 + 2_Training/Train_YOLO.py | 170 +- 3_Inference/Detector.py | 2 +- Data/Model_Weights/Download_Weights.py | 2 +- README.md | 26 +- TrainYourOwnYOLO.ipynb | 1959 ++++++++++++------------ requirements.txt | 1 + 7 files changed, 1074 insertions(+), 1089 deletions(-) diff --git a/.gitignore b/.gitignore index 949050a..c771112 100644 --- a/.gitignore +++ b/.gitignore @@ -140,3 +140,6 @@ dmypy.json # Pyre type checker .pyre/ + +# wandb log files +wandb/ \ No newline at end of file diff --git a/2_Training/Train_YOLO.py b/2_Training/Train_YOLO.py index 1554c12..5250823 100644 --- a/2_Training/Train_YOLO.py +++ b/2_Training/Train_YOLO.py @@ -13,7 +13,7 @@ def get_parent_dir(n=1): """returns the n-th parent dicrectory of the current working directory""" current_path = os.path.dirname(os.path.abspath(__file__)) - for k in range(n): + for _ in range(n): current_path = os.path.dirname(current_path) return current_path @@ -29,6 +29,7 @@ import keras.backend as K from keras.layers import Input, Lambda from keras.models import Model from keras.optimizers import Adam + from keras.callbacks import ( TensorBoard, ModelCheckpoint, @@ -152,6 +153,22 @@ if __name__ == "__main__": os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" warnings.filterwarnings("ignore") + # Get WandB integration if setup + try: + import wandb + from wandb.integration.keras import WandbCallback # type: ignore + + wandb.ensure_configured() + if wandb.api.api_key is None: + _has_wandb = False + wandb.termwarn( + "W&B installed but not logged in. Run `wandb login` or set the WANDB_API_KEY env variable." + ) + else: + _has_wandb = False if os.getenv("WANDB_DISABLED") else True + except (ImportError, AttributeError): + _has_wandb = False + np.random.seed(FLAGS.random_seed) log_dir = FLAGS.log_dir @@ -208,96 +225,77 @@ if __name__ == "__main__": # Train with frozen layers first, to get a stable loss. # Adjust num epochs to your dataset. This step is enough to obtain a decent model. - if True: - model.compile( - optimizer=Adam(lr=1e-3), - loss={ - # use custom yolo_loss Lambda layer. - "yolo_loss": lambda y_true, y_pred: y_pred - }, + frozen_callbacks = [logging, checkpoint] + + if _has_wandb: + wandb.init( + project="TrainYourOwnYOLO", config=vars(FLAGS), sync_tensorboard=False ) + wandb_callback = WandbCallback(save_model=False) + frozen_callbacks.append(wandb_callback) - batch_size = 32 - print( - "Train on {} samples, val on {} samples, with batch size {}.".format( - num_train, num_val, batch_size - ) + model.compile( + optimizer=Adam(lr=1e-3), + loss={ + # use custom yolo_loss Lambda layer. + "yolo_loss": lambda y_true, y_pred: y_pred + }, + ) + + batch_size = 32 + print( + "Train on {} samples, val on {} samples, with batch size {}.".format( + num_train, num_val, batch_size ) - history = model.fit_generator( - data_generator_wrapper( - lines[:num_train], batch_size, input_shape, anchors, num_classes - ), - steps_per_epoch=max(1, num_train // batch_size), - validation_data=data_generator_wrapper( - lines[num_train:], batch_size, input_shape, anchors, num_classes - ), - validation_steps=max(1, num_val // batch_size), - epochs=epoch1, - initial_epoch=0, - callbacks=[logging, checkpoint], - ) - model.save_weights(os.path.join(log_dir, "trained_weights_stage_1.h5")) - - step1_train_loss = history.history["loss"] - - file = open(os.path.join(log_dir_time, "step1_loss.npy"), "w") - with open(os.path.join(log_dir_time, "step1_loss.npy"), "w") as f: - for item in step1_train_loss: - f.write("%s\n" % item) - file.close() - - step1_val_loss = np.array(history.history["val_loss"]) - - file = open(os.path.join(log_dir_time, "step1_val_loss.npy"), "w") - with open(os.path.join(log_dir_time, "step1_val_loss.npy"), "w") as f: - for item in step1_val_loss: - f.write("%s\n" % item) - file.close() + ) + history = model.fit_generator( + data_generator_wrapper( + lines[:num_train], batch_size, input_shape, anchors, num_classes + ), + steps_per_epoch=max(1, num_train // batch_size), + validation_data=data_generator_wrapper( + lines[num_train:], batch_size, input_shape, anchors, num_classes + ), + validation_steps=max(1, num_val // batch_size), + epochs=epoch1, + initial_epoch=0, + callbacks=frozen_callbacks, + ) + model.save_weights(os.path.join(log_dir, "trained_weights_stage_1.h5")) # Unfreeze and continue training, to fine-tune. # Train longer if the result is unsatisfactory. - if True: - for i in range(len(model.layers)): - model.layers[i].trainable = True - model.compile( - optimizer=Adam(lr=1e-4), loss={"yolo_loss": lambda y_true, y_pred: y_pred} - ) # recompile to apply the change - print("Unfreeze all layers.") - batch_size = ( - 4 # note that more GPU memory is required after unfreezing the body + full_callbacks = [logging, checkpoint, reduce_lr, early_stopping] + + if _has_wandb: + full_callbacks.append(wandb_callback) + + for i in range(len(model.layers)): + model.layers[i].trainable = True + model.compile( + optimizer=Adam(lr=1e-4), loss={"yolo_loss": lambda y_true, y_pred: y_pred} + ) # recompile to apply the change + + print("Unfreeze all layers.") + + batch_size = 4 # note that more GPU memory is required after unfreezing the body + print( + "Train on {} samples, val on {} samples, with batch size {}.".format( + num_train, num_val, batch_size ) - print( - "Train on {} samples, val on {} samples, with batch size {}.".format( - num_train, num_val, batch_size - ) - ) - history = model.fit_generator( - data_generator_wrapper( - lines[:num_train], batch_size, input_shape, anchors, num_classes - ), - steps_per_epoch=max(1, num_train // batch_size), - validation_data=data_generator_wrapper( - lines[num_train:], batch_size, input_shape, anchors, num_classes - ), - validation_steps=max(1, num_val // batch_size), - epochs=epoch1 + epoch2, - initial_epoch=epoch1, - callbacks=[logging, checkpoint, reduce_lr, early_stopping], - ) - model.save_weights(os.path.join(log_dir, "trained_weights_final.h5")) - step2_train_loss = history.history["loss"] - - file = open(os.path.join(log_dir_time, "step2_loss.npy"), "w") - with open(os.path.join(log_dir_time, "step2_loss.npy"), "w") as f: - for item in step2_train_loss: - f.write("%s\n" % item) - file.close() - - step2_val_loss = np.array(history.history["val_loss"]) - - file = open(os.path.join(log_dir_time, "step2_val_loss.npy"), "w") - with open(os.path.join(log_dir_time, "step2_val_loss.npy"), "w") as f: - for item in step2_val_loss: - f.write("%s\n" % item) - file.close() + ) + history = model.fit_generator( + data_generator_wrapper( + lines[:num_train], batch_size, input_shape, anchors, num_classes + ), + steps_per_epoch=max(1, num_train // batch_size), + validation_data=data_generator_wrapper( + lines[num_train:], batch_size, input_shape, anchors, num_classes + ), + validation_steps=max(1, num_val // batch_size), + epochs=epoch1 + epoch2, + initial_epoch=epoch1, + callbacks=full_callbacks, + ) + model.save_weights(os.path.join(log_dir, "trained_weights_final.h5")) \ No newline at end of file diff --git a/3_Inference/Detector.py b/3_Inference/Detector.py index fdaf395..61a5a7b 100644 --- a/3_Inference/Detector.py +++ b/3_Inference/Detector.py @@ -6,7 +6,7 @@ def get_parent_dir(n=1): """returns the n-th parent dicrectory of the current working directory""" current_path = os.path.dirname(os.path.abspath(__file__)) - for k in range(n): + for _ in range(n): current_path = os.path.dirname(current_path) return current_path diff --git a/Data/Model_Weights/Download_Weights.py b/Data/Model_Weights/Download_Weights.py index 1cd9014..1de6248 100644 --- a/Data/Model_Weights/Download_Weights.py +++ b/Data/Model_Weights/Download_Weights.py @@ -48,7 +48,7 @@ def download_file_from_google_drive(id, destination): if __name__ == "__main__": import sys - if len(sys.argv) is not 3: + if len(sys.argv) != 3: print("Usage: python google_drive.py drive_file_id destination_file_path") else: # TAKE ID FROM SHAREABLE LINK diff --git a/README.md b/README.md index 131ab90..d149d71 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ To build and test your YOLO object detection algorithm follow the below steps: ## Getting Started -### NEW: Google Colab Tutorial Open In Colab +### Google Colab Tutorial Open In Colab With Google Colab you can skip most of the set up steps and start training your own model right away. ### Requisites @@ -41,12 +41,12 @@ To speed up training, it is recommended to use a **GPU with CUDA** support. For #### Setting up Virtual Environment [Linux or Mac] Clone this repo with: -``` +```bash git clone https://github.com/AntonMu/TrainYourOwnYOLO cd TrainYourOwnYOLO/ ``` Create Virtual **(Linux/Mac)** Environment: -``` +```bash python3 -m venv env source env/bin/activate ``` @@ -57,7 +57,7 @@ Use the [Github Desktop GUI](https://desktop.github.com/) to clone this repo to Create Virtual **(Windows)** Environment: -``` +```powershell py -m venv env .\env\Scripts\activate ``` @@ -67,7 +67,7 @@ Make sure that, from now on, you **run all commands from within your virtual env #### Install Required Packages [Windows, Mac or Linux] Install required packages (from within your virtual environment) via: -``` +```bash pip install -r requirements.txt ``` If this fails, you may have to upgrade your pip version first with `pip install pip --upgrade`. @@ -75,7 +75,7 @@ If this fails, you may have to upgrade your pip version first with `pip install ## Quick Start (Inference only) To test the cat face detector on test images located in [`TrainYourOwnYOLO/Data/Source_Images/Test_Images`](/Data/Source_Images/Test_Images) run the `Minimal_Example.py` script in the root folder with: -``` +```bash python Minimal_Example.py ``` @@ -96,9 +96,15 @@ To train your own custom YOLO object detector please follow the instructions det Each `*.py` script has various command line options that help tweak performance and change things such as input and output directories. All scripts are initialized with good default values that help accomplish all tasks as long as the original folder structure is preserved. To learn more about available command line options of a python script `` run: -``` +```bash python -h ``` +### **NEW:** Weights and Biases +TrainYourOwnYOLO supports [Weights & Biases](https://wandb.ai/home/) to track your experiments online. Sign up at [wandb.ai](https://wandb.ai/home) to get an API key and run: +```bash +wandb -login +``` +where `` is your Weights & Biases API key. ## License @@ -109,7 +115,7 @@ Unless explicitly stated otherwise at the top of a file, all code is licensed un 0. If you encounter any error, please make sure you follow the instructions **exactly** (word by word). Once you are familiar with the code, you're welcome to modify it as needed but in order to minimize error, I encourage you to not deviate from the instructions above. If you would like to file an issue, please use the provided template and make sure to fill out all fields. 1. If you encounter a `FileNotFoundError`, `Module not found` or similar error, make sure that you did not change the folder structure. Your directory structure **must** look exactly like this: - ``` + ```text TrainYourOwnYOLO └─── 1_Image_Annotation └─── 2_Training @@ -122,7 +128,7 @@ Unless explicitly stated otherwise at the top of a file, all code is licensed un Don't use spaces in file or folder names, i.e. instead of `my folder` use `my_folder`. 2. If you are a Linux user and having trouble installing `*.snap` package files try: - ``` + ```bash snap install --dangerous vott-2.1.0-linux.snap ``` See [Snap Tutorial](https://tutorials.ubuntu.com/tutorial/advanced-snap-usage#2) for more information. @@ -154,7 +160,7 @@ Under the following terms: Cite as: - ``` + ```text @misc{TrainYourOwnYOLO, title={TrainYourOwnYOLO: Building a Custom Object Detector from Scratch}, author={Anton Muehlemann}, diff --git a/TrainYourOwnYOLO.ipynb b/TrainYourOwnYOLO.ipynb index eb75a6c..c936790 100644 --- a/TrainYourOwnYOLO.ipynb +++ b/TrainYourOwnYOLO.ipynb @@ -30,7 +30,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "lk9vWcXoN4Y5" }, "source": [ @@ -69,20 +68,17 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "Ig5gpnebU-Pw" }, "source": [ "## 1. Set up the Repo and Google Colab \n", - "First, make sure that this runtime uses a GPU. To do so, go to `Runtime` and then `Change runtime type` and under `Hardware accelerator` select `GPU`. Next, execute the following two cells to download the TrainYourOwnYOLO repo and set up the dependencies. It is important to **only run this cell once**.\n" + "First, make sure that this runtime uses a GPU. To do so, go to `Runtime` and then `Change runtime type` and under `Hardware accelerator` select `GPU`. Next, execute the following two cells to download the TrainYourOwnYOLO repo and set up the dependencies. You can also setup [Weights & Biases](https://wandb.ai/) by providing your WandB API key. If you don't want to use WandB, press Enter to skip the setup. It is important to **only run this cell once**.\n" ] }, { "cell_type": "code", "metadata": { - "colab_type": "code", - "id": "NOY70xLdOUFO", - "colab": {} + "id": "NOY70xLdOUFO" }, "source": [ "to_run = True " @@ -93,19 +89,19 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", "id": "qgcn8RFTNy2F", + "outputId": "af2d2254-c9e3-4e16-cd5b-dde2923c93ef", "colab": { - "base_uri": "https://localhost:8080/", - "height": 151 - }, - "outputId": "dc28b44c-c172-4cc5-97ae-7bbea055616b" + "base_uri": "https://localhost:8080/" + } }, "source": [ "if to_run:\n", " !git clone https://github.com/AntonMu/TrainYourOwnYOLO\n", " %cd TrainYourOwnYOLO\n", - " to_run = False" + " to_run = False\n", + " !pip -q install wandb\n", + " !wandb login" ], "execution_count": 2, "outputs": [ @@ -113,13 +109,24 @@ "output_type": "stream", "text": [ "Cloning into 'TrainYourOwnYOLO'...\n", - "remote: Enumerating objects: 84, done.\u001b[K\n", - "remote: Counting objects: 100% (84/84), done.\u001b[K\n", - "remote: Compressing objects: 100% (82/82), done.\u001b[K\n", - "remote: Total 2418 (delta 2), reused 73 (delta 2), pack-reused 2334\u001b[K\n", - "Receiving objects: 100% (2418/2418), 155.81 MiB | 36.43 MiB/s, done.\n", - "Resolving deltas: 100% (783/783), done.\n", - "/content/TrainYourOwnYOLO\n" + "remote: Enumerating objects: 7, done.\u001b[K\n", + "remote: Counting objects: 100% (7/7), done.\u001b[K\n", + "remote: Compressing objects: 100% (7/7), done.\u001b[K\n", + "remote: Total 505 (delta 0), reused 1 (delta 0), pack-reused 498\u001b[K\n", + "Receiving objects: 100% (505/505), 70.43 MiB | 37.25 MiB/s, done.\n", + "Resolving deltas: 100% (70/70), done.\n", + "/content/TrainYourOwnYOLO\n", + "\u001b[K |████████████████████████████████| 1.7MB 4.8MB/s \n", + "\u001b[K |████████████████████████████████| 122kB 16.2MB/s \n", + "\u001b[K |████████████████████████████████| 163kB 23.4MB/s \n", + "\u001b[K |████████████████████████████████| 102kB 12.6MB/s \n", + "\u001b[K |████████████████████████████████| 102kB 12.0MB/s \n", + "\u001b[K |████████████████████████████████| 71kB 10.0MB/s \n", + "\u001b[?25h Building wheel for watchdog (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Building wheel for subprocess32 (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: You can find your API key in your browser here: https://wandb.ai/authorize\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: Paste an API key from your profile and hit enter: \n" ], "name": "stdout" } @@ -128,7 +135,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "iosA5xBgSqwP" }, "source": [ @@ -139,13 +145,11 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", "id": "H7u9C2jCO8wg", + "outputId": "a4fbdef5-655b-4659-ac28-e5e8d98e5b2b", "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "716ec218-3fc4-4557-a78c-6de680a1ceeb" + "base_uri": "https://localhost:8080/" + } }, "source": [ "!python Minimal_Example.py" @@ -158,100 +162,222 @@ "\n", " Downloading Pretrained Weights \n", "\n", - "| | # | 7533 Elapsed Time: 0:00:02\n", - "Downloaded Pretrained Weights in 3.2 seconds \n", + "| | # | 7533 Elapsed Time: 0:00:02\n", + "Downloaded Pretrained Weights in 3.6 seconds \n", "\n", "Detecting Cat Faces by calling: \n", "\n", " python /content/TrainYourOwnYOLO/3_Inference/Detector.py --input_path /content/TrainYourOwnYOLO/Data/Source_Images/Test_Images --classes /content/TrainYourOwnYOLO/Data/Model_Weights/data_classes.txt --output /content/TrainYourOwnYOLO/Data/Source_Images/Test_Image_Detection_Results --yolo_model /content/TrainYourOwnYOLO/Data/Model_Weights/trained_weights_final.h5 --box_file /content/TrainYourOwnYOLO/Data/Source_Images/Test_Image_Detection_Results/Detection_Results.csv --anchors /content/TrainYourOwnYOLO/2_Training/src/keras_yolo3/model_data/yolo_anchors.txt --file_types .jpg .jpeg .png \n", "\n", - "2020-09-01 05:36:22.928128: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:36:24.938211: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n", - "2020-09-01 05:36:24.994863: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:24.995446: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", + "2020-10-30 22:56:23.918850: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:56:26.033572: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n", + "2020-10-30 22:56:26.094859: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:26.095510: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", "pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5\n", "coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s\n", - "2020-09-01 05:36:24.995490: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:36:25.251232: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "2020-09-01 05:36:25.368498: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", - "2020-09-01 05:36:25.412038: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", - "2020-09-01 05:36:25.672150: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", - "2020-09-01 05:36:25.728020: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", - "2020-09-01 05:36:26.247117: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:36:26.247333: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:26.248534: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:26.249117: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", - "2020-09-01 05:36:26.308932: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2200000000 Hz\n", - "2020-09-01 05:36:26.309158: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1b34a00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", - "2020-09-01 05:36:26.309192: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", - "2020-09-01 05:36:26.456696: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:26.457542: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1b34bc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", - "2020-09-01 05:36:26.457582: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", - "2020-09-01 05:36:26.458689: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:26.459550: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", + "2020-10-30 22:56:26.095561: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:56:26.287558: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 22:56:26.441220: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", + "2020-10-30 22:56:26.454214: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", + "2020-10-30 22:56:26.738317: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", + "2020-10-30 22:56:26.756554: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", + "2020-10-30 22:56:27.274718: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 22:56:27.274908: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:27.275642: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:27.276217: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", + "2020-10-30 22:56:27.334480: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2200000000 Hz\n", + "2020-10-30 22:56:27.334712: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x17b6a00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", + "2020-10-30 22:56:27.334743: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", + "2020-10-30 22:56:27.471580: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:27.472320: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x17b6f40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", + "2020-10-30 22:56:27.472363: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", + "2020-10-30 22:56:27.473041: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:27.473626: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", "pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5\n", "coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s\n", - "2020-09-01 05:36:26.459628: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:36:26.459737: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "2020-09-01 05:36:26.459789: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", - "2020-09-01 05:36:26.459820: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", - "2020-09-01 05:36:26.459866: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", - "2020-09-01 05:36:26.459957: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", - "2020-09-01 05:36:26.459987: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:36:26.460085: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:26.460658: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:26.461200: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", - "2020-09-01 05:36:26.464331: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:36:30.287963: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n", - "2020-09-01 05:36:30.288019: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 \n", - "2020-09-01 05:36:30.288032: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N \n", - "2020-09-01 05:36:30.292121: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:30.292749: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:30.293277: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n", - "2020-09-01 05:36:30.293319: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13962 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n", - "/content/TrainYourOwnYOLO/Data/Model_Weights/trained_weights_final.h5 model, anchors, and classes loaded in 6.46sec.\n", + "2020-10-30 22:56:27.473670: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:56:27.473719: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 22:56:27.473742: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", + "2020-10-30 22:56:27.473765: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", + "2020-10-30 22:56:27.473790: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", + "2020-10-30 22:56:27.473810: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", + "2020-10-30 22:56:27.473832: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 22:56:27.473905: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:27.474548: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:27.475097: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", + "2020-10-30 22:56:27.477555: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:56:31.246324: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n", + "2020-10-30 22:56:31.246386: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 \n", + "2020-10-30 22:56:31.246399: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N \n", + "2020-10-30 22:56:31.248621: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:31.249332: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:31.249916: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n", + "2020-10-30 22:56:31.249965: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13962 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n", + "/content/TrainYourOwnYOLO/Data/Model_Weights/trained_weights_final.h5 model, anchors, and classes loaded in 7.01sec.\n", "Found 1 input labels: ['Cat_Face'] ...\n", - "Found 68 input images: ['20181204184341.jpeg', 'puppy_dog.jpg', '04ebfcfd_fa70_4e49_84ff_66cf3c5c0407_best_cat_toys_for_older_cats_3.jpg', '10332358_3x2_700x467.jpg', '49202627_303.jpg'] ...\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/20181204184341.jpeg\n", + "Found 68 input images: ['Featured_Image_for_Cat.jpg', 'china_cloned_cat_2_0.jpg', '100.jpg', '17_grumpy_cat_nymag_cover.w1200.h630.jpg', 'dog_landing_hero_lg.jpg'] ...\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Featured_Image_for_Cat.jpg\n", "(416, 416, 3)\n", - "2020-09-01 05:36:37.569394: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:36:37.593628: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:36:37.756317: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:36:37.943621: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:36:42.909094: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 22:56:39.144357: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 22:56:39.170888: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 22:56:39.358586: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 22:56:39.546641: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 22:56:44.553099: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", "Found 1 boxes for img\n", - "Cat_Face 0.75 (34, 7) (106, 105)\n", - "Time spent: 7.780sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/puppy_dog.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.40 (166, 100) (369, 196)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/04ebfcfd_fa70_4e49_84ff_66cf3c5c0407_best_cat_toys_for_older_cats_3.jpg\n", - "(416, 416, 3)\n", - "Found 0 boxes for img\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/10332358_3x2_700x467.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.98 (168, 0) (557, 399)\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/49202627_303.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.95 (379, 5) (669, 297)\n", - "Time spent: 0.036sec\n", + "Cat_Face 0.84 (176, 82) (457, 387)\n", + "Time spent: 7.918sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/china_cloned_cat_2_0.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", "Cat_Face 0.77 (581, 56) (848, 342)\n", - "Time spent: 0.041sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pomeranian_68.jpg\n", + "Time spent: 0.045sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/100.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.74 (326, 82) (611, 292)\n", + "Time spent: 0.039sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/17_grumpy_cat_nymag_cover.w1200.h630.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.87 (190, 0) (991, 610)\n", + "Time spent: 0.040sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/dog_landing_hero_lg.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.93 (0, 0) (720, 447)\n", + "Time spent: 0.042sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (0, 10) (227, 226)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/36e85e4998d04dae9ebfc1c143a74b3d_edd828e54bf544d89229429d744d74b7_1_post.jpeg\n", "(416, 416, 3)\n", "Found 2 boxes for img\n", - "Cat_Face 0.33 (217, 126) (417, 204)\n", - "Cat_Face 0.39 (208, 145) (550, 280)\n", + "Cat_Face 0.40 (387, 194) (611, 413)\n", + "Cat_Face 0.75 (312, 155) (694, 445)\n", + "Time spent: 0.047sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/539814_istock_821264870.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.29 (291, 79) (827, 502)\n", + "Cat_Face 0.94 (212, 0) (1043, 619)\n", + "Time spent: 0.043sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/10332358_3x2_700x467.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.98 (168, 0) (557, 399)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/1_3.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (800, 237) (1841, 1206)\n", + "Time spent: 0.090sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Lagotto_Romangolo_Tongue_Out.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.93 (198, 0) (729, 487)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/image.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.50 (22, 210) (143, 252)\n", + "Cat_Face 0.61 (73, 111) (206, 162)\n", "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/feline_3333896_640.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 1.00 (40, 0) (497, 405)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/sei74187425.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.98 (149, 0) (796, 681)\n", + "Time spent: 0.042sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/66185314_2297595197159603_5846688980096480369_n.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.68 (269, 363) (471, 532)\n", + "Cat_Face 0.74 (124, 117) (372, 261)\n", + "Time spent: 0.039sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/golden_retriever_puppy.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.34 (76, 0) (1019, 734)\n", + "Cat_Face 0.86 (221, 98) (850, 594)\n", + "Time spent: 0.044sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/husky_3380548__340.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.98 (73, 3) (289, 271)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/puppy_1903313__340.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.47 (179, 65) (419, 216)\n", + "Cat_Face 0.53 (232, 98) (372, 177)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/cute_puppy_body_image.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.78 (105, 30) (379, 213)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/190207162239_01_fluffy_frozen_cat_trnd_exlarge_169.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.72 (419, 196) (573, 338)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/105488.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.25 (121, 56) (334, 324)\n", + "Cat_Face 0.99 (37, 17) (422, 380)\n", + "Time spent: 0.039sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/chinese_company_that_cloned_a_pet_cat_now_want_to_copy_pets_t3h3.910.jpg\n", + "(416, 416, 3)\n", + "Found 3 boxes for img\n", + "Cat_Face 0.47 (116, 55) (499, 339)\n", + "Cat_Face 0.82 (542, 89) (817, 297)\n", + "Cat_Face 0.90 (187, 120) (431, 287)\n", + "Time spent: 0.041sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/dog_landing_hero_sm.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.29 (322, 0) (519, 412)\n", + "Cat_Face 0.98 (0, 0) (430, 521)\n", + "Time spent: 0.039sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/KTYY2YRXUII6TA3V4POPNNUFLA.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.95 (220, 0) (1431, 1153)\n", + "Time spent: 0.055sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/single_minded_royalty_free_image_997141470_1558379890.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.50 (50, 5) (467, 269)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/105992231_1561667465295gettyimages_521697453.jpeg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.30 (215, 0) (474, 381)\n", + "Cat_Face 0.80 (255, 52) (425, 150)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/17_cat_essentials.w700.h700.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.92 (62, 258) (276, 450)\n", + "Time spent: 0.043sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Carolina_Dog.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.28 (328, 0) (538, 210)\n", + "Cat_Face 0.59 (370, 4) (483, 156)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/maxresdefault.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.45 (374, 21) (668, 464)\n", + "Time spent: 0.043sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Easter_Kittens_300x300.jpg\n", "(416, 416, 3)\n", "Found 5 boxes for img\n", @@ -260,328 +386,206 @@ "Cat_Face 0.62 (117, 72) (167, 153)\n", "Cat_Face 0.92 (177, 72) (242, 129)\n", "Cat_Face 0.93 (15, 37) (112, 112)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/feline_3333896_640.jpg\n", + "Time spent: 0.041sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0_Cat_research.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 1.00 (40, 0) (497, 405)\n", - "Time spent: 0.041sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/puppy_1903313__340.jpg\n", + "Cat_Face 0.94 (276, 23) (416, 131)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pomeranian_68.jpg\n", "(416, 416, 3)\n", "Found 2 boxes for img\n", - "Cat_Face 0.47 (179, 65) (419, 216)\n", - "Cat_Face 0.53 (232, 98) (372, 177)\n", + "Cat_Face 0.33 (217, 126) (417, 204)\n", + "Cat_Face 0.39 (208, 145) (550, 280)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/4e66a4d0_7f81_4bda_882d_d7a18937f061_poster.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.97 (0, 0) (1920, 1080)\n", + "Time spent: 0.053sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/1451208.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.78 (73, 0) (396, 213)\n", "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/49a87dd8_035e_3f29_22f0_d762051e8f14.jpg\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/puppy_dog.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.74 (148, 0) (316, 173)\n", - "Time spent: 0.033sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/single_minded_royalty_free_image_997141470_1558379890.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.50 (50, 5) (467, 269)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/husky_3380548__340.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.98 (73, 3) (289, 271)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/maxresdefault (1).jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.85 (308, 118) (1018, 605)\n", - "Time spent: 0.041sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Featured_Image_for_Cat.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.84 (176, 82) (457, 387)\n", - "Time spent: 0.043sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.99 (0, 10) (227, 226)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/160825_vod_orig_historyofdogs_16x9_992.jpg\n", - "(416, 416, 3)\n", - "Found 3 boxes for img\n", - "Cat_Face 0.26 (474, 150) (585, 357)\n", - "Cat_Face 0.32 (329, 142) (474, 378)\n", - "Cat_Face 0.57 (22, 176) (310, 349)\n", - "Time spent: 0.041sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/14_20190709094206_8966619_large.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.85 (356, 52) (1288, 639)\n", - "Time spent: 0.048sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/samoyed_puppy_dog_pictures.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.88 (125, 68) (261, 233)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/cute_puppy_body_image.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.78 (105, 30) (379, 213)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pearl_16x9.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.89 (74, 0) (360, 242)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/KTYY2YRXUII6TA3V4POPNNUFLA.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.95 (220, 0) (1431, 1153)\n", - "Time spent: 0.052sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/17_cat_essentials.w700.h700.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.92 (62, 258) (276, 450)\n", + "Cat_Face 0.40 (166, 100) (369, 196)\n", "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pets_4415649__340.jpg\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/49202627_303.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.57 (204, 129) (280, 188)\n", - "Time spent: 0.034sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/17_grumpy_cat_nymag_cover.w1200.h630.jpg\n", + "Cat_Face 0.95 (379, 5) (669, 297)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/420508170.jpg\n", "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.87 (190, 0) (991, 610)\n", - "Time spent: 0.042sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/100.jpg\n", + "Found 2 boxes for img\n", + "Cat_Face 0.37 (141, 0) (250, 98)\n", + "Cat_Face 0.98 (24, 18) (218, 165)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/04ebfcfd_fa70_4e49_84ff_66cf3c5c0407_best_cat_toys_for_older_cats_3.jpg\n", "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.74 (326, 82) (611, 292)\n", + "Found 0 boxes for img\n", "Time spent: 0.037sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Science_husky_1093906290.jpg\n", "(416, 416, 3)\n", "Found 2 boxes for img\n", "Cat_Face 0.31 (877, 0) (1290, 1340)\n", "Cat_Face 0.97 (579, 0) (1492, 1277)\n", - "Time spent: 0.061sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/sei74187425.jpg\n", + "Time spent: 0.064sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0809_Cat_CNN.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.98 (149, 0) (796, 681)\n", - "Time spent: 0.041sec\n", + "Cat_Face 0.74 (257, 29) (574, 315)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/160825_vod_orig_historyofdogs_16x9_992.jpg\n", + "(416, 416, 3)\n", + "Found 3 boxes for img\n", + "Cat_Face 0.26 (474, 150) (585, 357)\n", + "Cat_Face 0.32 (329, 142) (474, 378)\n", + "Cat_Face 0.57 (22, 176) (310, 349)\n", + "Time spent: 0.042sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pug.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.98 (33, 5) (360, 293)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/71aqYo6ZBpL._AC.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.39 (0, 66) (1152, 958)\n", + "Cat_Face 0.69 (209, 91) (788, 702)\n", + "Time spent: 0.054sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/_107076735_shihtzu976.jpg\n", "(416, 416, 3)\n", "Found 2 boxes for img\n", "Cat_Face 0.36 (0, 30) (627, 342)\n", "Cat_Face 0.85 (212, 0) (541, 361)\n", "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Borowitz_BorisJohnsonDog.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.65 (365, 248) (567, 419)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/dog_landing_hero_lg.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.93 (0, 0) (720, 447)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/ECgQI_aWsAEBZL_.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.95 (267, 20) (907, 559)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/539814_istock_821264870.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.29 (291, 79) (827, 502)\n", - "Cat_Face 0.94 (212, 0) (1043, 619)\n", - "Time spent: 0.041sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/maxresdefault.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.45 (374, 21) (668, 464)\n", - "Time spent: 0.042sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5aa10ca0d877e618008b4678_750_562.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.95 (153, 0) (693, 562)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/67056618_500x406.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.86 (163, 21) (413, 282)\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Carolina_Dog.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.28 (328, 0) (538, 210)\n", - "Cat_Face 0.59 (370, 4) (483, 156)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/66185314_2297595197159603_5846688980096480369_n.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.68 (269, 363) (471, 532)\n", - "Cat_Face 0.74 (124, 117) (372, 261)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/961d1691_dfb88af9_1280w.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.89 (208, 0) (875, 638)\n", - "Time spent: 0.042sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/image.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.50 (22, 210) (143, 252)\n", - "Cat_Face 0.61 (73, 111) (206, 162)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pexels_photo_1108099.jpeg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.80 (137, 101) (262, 187)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/photo_1510771463146_e89e6e86560e.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.47 (296, 905) (1062, 1421)\n", - "Cat_Face 0.53 (179, 750) (1197, 1615)\n", - "Time spent: 0.061sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/105992231_1561667465295gettyimages_521697453.jpeg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.30 (215, 0) (474, 381)\n", - "Cat_Face 0.80 (255, 52) (425, 150)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/4e66a4d0_7f81_4bda_882d_d7a18937f061_poster.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.97 (0, 0) (1920, 1080)\n", - "Time spent: 0.053sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/golden_retriever_puppy.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.34 (76, 0) (1019, 734)\n", - "Cat_Face 0.86 (221, 98) (850, 594)\n", - "Time spent: 0.044sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/dog_landing_hero_sm.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.29 (322, 0) (519, 412)\n", - "Cat_Face 0.98 (0, 0) (430, 521)\n", - "Time spent: 0.043sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5b50bd5351dfbe1f008b45c5_750_562.jpg\n", - "(416, 416, 3)\n", - "Found 0 boxes for img\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0809_Cat_CNN.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.74 (257, 29) (574, 315)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/633bd23689846b66b7891edea332a350.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.61 (47, 45) (422, 431)\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Eloise1.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.64 (254, 82) (576, 245)\n", - "Cat_Face 0.86 (131, 19) (682, 319)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/over_active_dog_211592482.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.84 (193, 18) (360, 148)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0_PAY_GRUMPY_CAT.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.89 (115, 14) (490, 318)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/e0dfdbdb_892b_4aad_84d6_03b5729899a1.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.99 (16, 61) (217, 284)\n", - "Time spent: 0.034sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5d261a225562d.image.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.99 (335, 0) (925, 631)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/105488.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.25 (121, 56) (334, 324)\n", - "Cat_Face 0.99 (37, 17) (422, 380)\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/420508170.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.37 (141, 0) (250, 98)\n", - "Cat_Face 0.98 (24, 18) (218, 165)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/36e85e4998d04dae9ebfc1c143a74b3d_edd828e54bf544d89229429d744d74b7_1_post.jpeg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.40 (387, 194) (611, 413)\n", - "Cat_Face 0.75 (312, 155) (694, 445)\n", - "Time spent: 0.045sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pug.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.98 (33, 5) (360, 293)\n", - "Time spent: 0.033sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Lagotto_Romangolo_Tongue_Out.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.93 (198, 0) (729, 487)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/1451208.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.78 (73, 0) (396, 213)\n", - "Time spent: 0.033sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/71aqYo6ZBpL._AC.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.39 (0, 66) (1152, 958)\n", - "Cat_Face 0.69 (209, 91) (788, 702)\n", - "Time spent: 0.053sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0_Cat_research.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.94 (276, 23) (416, 131)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/chinese_company_that_cloned_a_pet_cat_now_want_to_copy_pets_t3h3.910.jpg\n", - "(416, 416, 3)\n", - "Found 3 boxes for img\n", - "Cat_Face 0.47 (116, 55) (499, 339)\n", - "Cat_Face 0.82 (542, 89) (817, 297)\n", - "Cat_Face 0.90 (187, 120) (431, 287)\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/1_3.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.99 (800, 237) (1841, 1206)\n", - "Time spent: 0.086sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/76DB73722C98408CB576F3C87486B768.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.94 (307, 0) (1016, 570)\n", - "Time spent: 0.042sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/190207162239_01_fluffy_frozen_cat_trnd_exlarge_169.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.72 (419, 196) (573, 338)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/IMG_6115.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.93 (158, 68) (980, 966)\n", - "Time spent: 0.045sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/356950.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", "Cat_Face 0.62 (214, 0) (399, 213)\n", "Time spent: 0.038sec\n", - "Processed 68 images in 12.8sec - 5.3FPS\n", - "Detected Cat Faces in 28.6 seconds\n" + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/20181204184341.jpeg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.75 (34, 7) (106, 105)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/67056618_500x406.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.86 (163, 21) (413, 282)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/76DB73722C98408CB576F3C87486B768.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.94 (307, 0) (1016, 570)\n", + "Time spent: 0.044sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/samoyed_puppy_dog_pictures.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.88 (125, 68) (261, 233)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/over_active_dog_211592482.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.84 (193, 18) (360, 148)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/961d1691_dfb88af9_1280w.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.89 (208, 0) (875, 638)\n", + "Time spent: 0.044sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pexels_photo_1108099.jpeg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.80 (137, 101) (262, 187)\n", + "Time spent: 0.041sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/e0dfdbdb_892b_4aad_84d6_03b5729899a1.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (16, 61) (217, 284)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/633bd23689846b66b7891edea332a350.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.61 (47, 45) (422, 431)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pearl_16x9.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.89 (74, 0) (360, 242)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5b50bd5351dfbe1f008b45c5_750_562.jpg\n", + "(416, 416, 3)\n", + "Found 0 boxes for img\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5aa10ca0d877e618008b4678_750_562.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.95 (153, 0) (693, 562)\n", + "Time spent: 0.041sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/maxresdefault (1).jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.85 (308, 118) (1018, 605)\n", + "Time spent: 0.044sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Borowitz_BorisJohnsonDog.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.65 (365, 248) (567, 419)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/photo_1510771463146_e89e6e86560e.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.47 (296, 905) (1062, 1421)\n", + "Cat_Face 0.53 (179, 750) (1197, 1615)\n", + "Time spent: 0.066sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/IMG_6115.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.93 (158, 68) (980, 966)\n", + "Time spent: 0.048sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Eloise1.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.64 (254, 82) (576, 245)\n", + "Cat_Face 0.86 (131, 19) (682, 319)\n", + "Time spent: 0.042sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/ECgQI_aWsAEBZL_.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.95 (267, 20) (907, 559)\n", + "Time spent: 0.044sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pets_4415649__340.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.57 (204, 129) (280, 188)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/14_20190709094206_8966619_large.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.85 (356, 52) (1288, 639)\n", + "Time spent: 0.047sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/49a87dd8_035e_3f29_22f0_d762051e8f14.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.74 (148, 0) (316, 173)\n", + "Time spent: 0.034sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0_PAY_GRUMPY_CAT.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.89 (115, 14) (490, 318)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5d261a225562d.image.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (335, 0) (925, 631)\n", + "Time spent: 0.046sec\n", + "Processed 68 images in 13.3sec - 5.1FPS\n", + "Detected Cat Faces in 29.7 seconds\n" ], "name": "stdout" } @@ -590,7 +594,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "fx_Y7JyITP8H" }, "source": [ @@ -601,13 +604,11 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", "id": "hG3rdjStP1EX", + "outputId": "307e77b2-991d-40fb-c21a-6d779630977e", "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "eb0d22ca-672e-4e9b-d482-f91f677016df" + "base_uri": "https://localhost:8080/" + } }, "source": [ "%cd 2_Training\n", @@ -620,12 +621,12 @@ "text": [ "/content/TrainYourOwnYOLO/2_Training\n", "\n", - " Downloading Raw YOLOv3 Weights \n", + "Downloading Raw yolov3.weights\n", "\n", - "| | # | 7568 Elapsed Time: 0:00:01\n", - "Downloaded Raw YOLOv3 Weights in 2.4 seconds \n", + "| | # | 7568 Elapsed Time: 0:00:03\n", + "Downloaded Raw yolov3.weights in 4.4 seconds\n", "\n", - "2020-09-01 05:36:54.231624: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:56:58.191123: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", "Loading weights.\n", "Weights Header: 0 2 0 [32013312]\n", "Parsing Darknet config.\n", @@ -633,49 +634,49 @@ "Parsing section net_0\n", "Parsing section convolutional_0\n", "conv2d bn leaky (3, 3, 3, 32)\n", - "2020-09-01 05:36:55.557533: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n", - "2020-09-01 05:36:55.594863: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:55.595468: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", + "2020-10-30 22:56:59.628903: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n", + "2020-10-30 22:56:59.671359: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:59.672005: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", "pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5\n", "coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s\n", - "2020-09-01 05:36:55.595511: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:36:55.597281: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "2020-09-01 05:36:55.598737: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", - "2020-09-01 05:36:55.599060: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", - "2020-09-01 05:36:55.600718: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", - "2020-09-01 05:36:55.601827: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", - "2020-09-01 05:36:55.605094: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:36:55.605210: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:55.605772: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:55.606293: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", - "2020-09-01 05:36:55.611831: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2200000000 Hz\n", - "2020-09-01 05:36:55.612006: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x17c0a00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", - "2020-09-01 05:36:55.612034: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", - "2020-09-01 05:36:55.716856: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:55.717566: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x17c0bc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", - "2020-09-01 05:36:55.717601: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", - "2020-09-01 05:36:55.717784: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:55.718336: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", + "2020-10-30 22:56:59.672049: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:56:59.673921: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 22:56:59.675769: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", + "2020-10-30 22:56:59.676144: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", + "2020-10-30 22:56:59.677907: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", + "2020-10-30 22:56:59.679120: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", + "2020-10-30 22:56:59.682974: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 22:56:59.683100: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:59.683755: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:59.684335: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", + "2020-10-30 22:56:59.690518: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2200000000 Hz\n", + "2020-10-30 22:56:59.690731: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1b8ea00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", + "2020-10-30 22:56:59.690763: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", + "2020-10-30 22:56:59.801245: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:59.802131: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1b8ef40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", + "2020-10-30 22:56:59.802178: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", + "2020-10-30 22:56:59.802411: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:59.803020: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", "pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5\n", "coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s\n", - "2020-09-01 05:36:55.718381: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:36:55.718437: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "2020-09-01 05:36:55.718473: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", - "2020-09-01 05:36:55.718492: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", - "2020-09-01 05:36:55.718511: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", - "2020-09-01 05:36:55.718527: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", - "2020-09-01 05:36:55.718545: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:36:55.718615: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:55.719192: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:55.719700: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", - "2020-09-01 05:36:55.719757: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:36:56.326049: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n", - "2020-09-01 05:36:56.326119: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 \n", - "2020-09-01 05:36:56.326130: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N \n", - "2020-09-01 05:36:56.326317: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:56.326950: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:36:56.327546: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n", - "2020-09-01 05:36:56.327606: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13962 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n", + "2020-10-30 22:56:59.803066: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:56:59.803114: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 22:56:59.803138: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", + "2020-10-30 22:56:59.803162: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", + "2020-10-30 22:56:59.803182: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", + "2020-10-30 22:56:59.803202: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", + "2020-10-30 22:56:59.803223: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 22:56:59.803293: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:59.803941: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:56:59.804476: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", + "2020-10-30 22:56:59.804525: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:57:00.449045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n", + "2020-10-30 22:57:00.449109: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 \n", + "2020-10-30 22:57:00.449124: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N \n", + "2020-10-30 22:57:00.449318: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:00.450036: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:00.450665: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n", + "2020-10-30 22:57:00.450722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13962 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n", "Parsing section convolutional_1\n", "conv2d bn leaky (3, 3, 32, 64)\n", "Parsing section convolutional_2\n", @@ -1397,7 +1398,7 @@ "__________________________________________________________________________________________________\n", "None\n", "Saved Keras model to yolo.h5\n", - "Read 62001757 of 62001757.0 from Darknet weights.\n" + "Read 62001757 of 62001757 from Darknet weights.\n" ], "name": "stdout" } @@ -1406,7 +1407,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "2_ixXl8QTrek" }, "source": [ @@ -1416,13 +1416,11 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", "id": "UDiFlKZPQGXa", + "outputId": "7bb90157-626b-4654-a8f3-bcc1a6cbddfe", "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "539fce98-12b7-4df3-e5f3-76e5ae29b342" + "base_uri": "https://localhost:8080/" + } }, "source": [ "!python Train_YOLO.py" @@ -1432,276 +1430,275 @@ { "output_type": "stream", "text": [ - "2020-09-01 05:37:00.750855: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:37:02.108428: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n", - "2020-09-01 05:37:02.142312: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.142876: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", + "2020-10-30 22:57:05.159840: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m W&B installed but not logged in. Run `wandb login` or set the WANDB_API_KEY env variable.\n", + "2020-10-30 22:57:06.858336: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n", + "2020-10-30 22:57:06.893043: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:06.893698: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", "pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5\n", "coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s\n", - "2020-09-01 05:37:02.142916: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:37:02.144394: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "2020-09-01 05:37:02.153476: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", - "2020-09-01 05:37:02.153862: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", - "2020-09-01 05:37:02.155623: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", - "2020-09-01 05:37:02.156813: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", - "2020-09-01 05:37:02.162891: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:37:02.163021: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.163627: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.164333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", - "2020-09-01 05:37:02.171360: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2200000000 Hz\n", - "2020-09-01 05:37:02.171561: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1ff8a00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", - "2020-09-01 05:37:02.171592: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", - "2020-09-01 05:37:02.275036: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.275756: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1ff8bc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", - "2020-09-01 05:37:02.275797: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", - "2020-09-01 05:37:02.275967: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.276535: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", + "2020-10-30 22:57:06.893744: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:57:06.895390: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 22:57:06.897292: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", + "2020-10-30 22:57:06.897616: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", + "2020-10-30 22:57:06.902763: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", + "2020-10-30 22:57:06.903698: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", + "2020-10-30 22:57:06.908897: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 22:57:06.909018: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:06.909688: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:06.910252: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", + "2020-10-30 22:57:06.916414: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2200000000 Hz\n", + "2020-10-30 22:57:06.916604: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x292ea00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", + "2020-10-30 22:57:06.916634: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", + "2020-10-30 22:57:07.021683: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:07.022416: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x292ef40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", + "2020-10-30 22:57:07.022459: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", + "2020-10-30 22:57:07.022632: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:07.023162: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", "pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5\n", "coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s\n", - "2020-09-01 05:37:02.276579: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:37:02.276631: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "2020-09-01 05:37:02.276666: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", - "2020-09-01 05:37:02.276683: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", - "2020-09-01 05:37:02.276702: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", - "2020-09-01 05:37:02.276718: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", - "2020-09-01 05:37:02.276736: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:37:02.276802: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.277379: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.277866: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", - "2020-09-01 05:37:02.277915: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:37:02.895361: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n", - "2020-09-01 05:37:02.895423: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 \n", - "2020-09-01 05:37:02.895435: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N \n", - "2020-09-01 05:37:02.895611: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.896221: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:37:02.896720: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n", - "2020-09-01 05:37:02.896762: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13962 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n", + "2020-10-30 22:57:07.023216: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:57:07.023252: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 22:57:07.023284: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", + "2020-10-30 22:57:07.023303: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", + "2020-10-30 22:57:07.023324: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", + "2020-10-30 22:57:07.023390: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", + "2020-10-30 22:57:07.023411: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 22:57:07.023482: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:07.024050: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:07.024609: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", + "2020-10-30 22:57:07.024665: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 22:57:07.655923: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n", + "2020-10-30 22:57:07.655992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 \n", + "2020-10-30 22:57:07.656005: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N \n", + "2020-10-30 22:57:07.656231: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:07.656948: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 22:57:07.657536: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n", + "2020-10-30 22:57:07.657584: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13962 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n", "Create YOLOv3 model with 9 anchors and 1 classes.\n", "Load weights /content/TrainYourOwnYOLO/2_Training/src/keras_yolo3/yolo.h5.\n", "Freeze the first 249 layers of total 252 layers.\n", - "2020-09-01 05:37:05.586658: I tensorflow/core/profiler/lib/profiler_session.cc:164] Profiler session started.\n", - "2020-09-01 05:37:05.586869: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1391] Profiler found 1 GPUs\n", - "2020-09-01 05:37:05.630272: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcupti.so.10.1\n", - "2020-09-01 05:37:05.774579: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1513] CUPTI activity buffer flushed\n", + "2020-10-30 22:57:10.520221: I tensorflow/core/profiler/lib/profiler_session.cc:164] Profiler session started.\n", + "2020-10-30 22:57:10.520452: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1391] Profiler found 1 GPUs\n", + "2020-10-30 22:57:10.552660: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcupti.so.10.1\n", + "2020-10-30 22:57:10.715616: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1513] CUPTI activity buffer flushed\n", "8888888888888888888*********************************98888888888888888888888888888888888\n", "['/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/9k_%20(1).jpg 80,3,215,144,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/9k_%20(2).jpg 59,6,174,126,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/2Q__%20(1).jpg 27,15,107,87,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/2Q__%20(2).jpg 87,2,197,124,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/2Q__.jpg 3,1,106,103,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/9k_%20(4).jpg 96,30,151,79,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/9k_%20(5).jpg 135,4,266,131,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/9k_%20(3).jpg 66,49,177,153,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/9k_%20(6).jpg 145,55,213,129,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/9k_%20(7).jpg 81,39,180,137,0 148,0,248,101,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/9k_.jpg 26,0,186,162,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/Z%20(2).jpg 187,0,269,70,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/Z%20(3).jpg 13,0,247,170,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/Z%20(4).jpg 80,58,185,172,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/Z%20(1).jpg 46,4,143,100,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/Z.jpg 117,22,235,127,0 6,84,104,180,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(1).jpg 9,9,195,169,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(10).jpg 56,23,119,82,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(100).jpg 109,86,154,124,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(11).jpg 123,19,193,88,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(14).jpg 7,22,195,182,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(12).jpg 95,51,186,120,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(13).jpg 68,14,183,109,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(15).jpg 28,8,138,119,0 67,55,195,193,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(16).jpg 23,8,210,181,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(18).jpg 47,5,251,168,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(17).jpg 74,12,181,98,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(19).jpg 153,2,254,100,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(2).jpg 67,16,132,77,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(20).jpg 46,26,133,107,0 132,35,213,107,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(21).jpg 17,77,102,167,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(23).jpg 175,8,228,67,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(22).jpg 150,6,226,95,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(24).jpg 80,2,225,146,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(25).jpg 56,19,146,94,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(26).jpg 82,17,177,115,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(27).jpg 44,62,207,175,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(29).jpg 29,2,180,155,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(28).jpg 163,27,278,112,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(3).jpg 13,9,108,112,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(30).jpg 122,65,159,112,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(31).jpg 153,83,180,110,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(32).jpg 142,21,222,91,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(33).jpg 129,17,289,163,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(34).jpg 65,102,85,122,0 93,81,119,104,0 124,82,149,105,0 150,84,175,107,0 180,85,206,112,0 213,95,239,118,0 243,110,262,132,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(36).jpg 77,23,170,111,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(35).jpg 46,25,145,146,0 131,8,250,128,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(37).jpg 96,10,171,74,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(38).jpg 67,20,172,111,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(39).jpg 8,10,146,123,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(4).jpg 109,27,188,98,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(40).jpg 172,3,279,109,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(42).jpg 106,7,195,87,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(41).jpg 57,40,237,170,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(43).jpg 78,38,106,73,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(44).jpg 55,5,217,177,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(46).jpg 67,56,158,118,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(45).jpg 16,17,243,187,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(47).jpg 54,5,164,101,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(48).jpg 55,42,100,87,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(49).jpg 195,41,266,101,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(50).jpg 94,21,119,47,0 180,12,203,33,0 235,14,261,37,0 105,102,131,126,0 226,103,265,148,0 52,98,76,117,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(5).jpg 109,7,212,110,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(51).jpg 20,4,118,84,0 176,46,273,168,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(52).jpg 164,27,224,84,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(53).jpg 0,0,110,101,0 155,26,286,148,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(54).jpg 39,1,205,150,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(56).jpg 63,14,179,124,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(57).jpg 121,59,188,122,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(58).jpg 76,30,225,168,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(59).jpg 95,2,171,86,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(6).jpg 74,3,131,53,0 184,56,252,113,0 133,26,190,83,0 247,21,288,73,0 11,37,62,92,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(60).jpg 122,21,251,134,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(61).jpg 170,12,238,81,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(62).jpg 99,21,156,81,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(63).jpg 46,31,130,105,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(64).jpg 111,11,218,131,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(65).jpg 52,24,131,118,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(66).jpg 94,38,188,124,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(67).jpg 76,3,190,113,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(69).jpg 54,17,238,166,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(68).jpg 119,13,244,137,0 30,23,131,125,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(7).jpg 71,20,121,65,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(70).jpg 176,7,255,98,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(71).jpg 146,0,254,116,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(73).jpg 63,0,212,131,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(72).jpg 58,5,211,154,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(74).jpg 177,54,242,113,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(75).jpg 26,29,166,148,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(76).jpg 15,6,84,82,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(78).jpg 47,22,183,150,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(77).jpg 82,63,134,120,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(79).jpg 103,5,180,56,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(8).jpg 86,0,293,163,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(80).jpg 102,65,132,103,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(81).jpg 67,1,200,147,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(82).jpg 76,16,190,138,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(83).jpg 97,5,264,166,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(84).jpg 46,7,147,99,0\\n', '/content/TrainYourOwnYOLO/Data/Source_Images/Training_Images/vott-csv-export/images%20(85).jpg 55,34,93,79,0 216,31,251,70,0\\n']\n", "Train on 90 samples, val on 10 samples, with batch size 32.\n", "Epoch 1/51\n", - "2020-09-01 05:37:14.464149: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:37:14.484806: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:37:14.688214: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:37:15.095048: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:37:17.858538: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "1/2 [==============>...............] - ETA: 0s - loss: 6895.18552020-09-01 05:37:19.891474: I tensorflow/core/profiler/lib/profiler_session.cc:164] Profiler session started.\n", - "2020-09-01 05:37:20.531443: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1513] CUPTI activity buffer flushed\n", - "2020-09-01 05:37:20.561376: I tensorflow/core/profiler/internal/gpu/device_tracer.cc:223] GpuTracer has collected 4547 callback api events and 4547 activity events. \n", - "2/2 [==============================] - ETA: 0s - loss: 6425.17292020-09-01 05:37:25.173792: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:37:25.187724: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:37:25.314156: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2/2 [==============================] - 8s 4s/step - loss: 6425.1729 - val_loss: 5203.4863\n", + "2020-10-30 22:57:19.662181: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 22:57:19.681101: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 22:57:19.871872: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 22:57:20.288585: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 22:57:23.235387: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "1/2 [==============>...............] - ETA: 0s - loss: 16888.76372020-10-30 22:57:25.207994: I tensorflow/core/profiler/lib/profiler_session.cc:164] Profiler session started.\n", + "2020-10-30 22:57:25.833756: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1513] CUPTI activity buffer flushed\n", + "2020-10-30 22:57:25.864776: I tensorflow/core/profiler/internal/gpu/device_tracer.cc:223] GpuTracer has collected 4558 callback api events and 4558 activity events. \n", + "2/2 [==============================] - ETA: 0s - loss: 15929.79792020-10-30 22:57:30.879955: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 22:57:30.895651: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 22:57:31.039272: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2/2 [==============================] - 8s 4s/step - loss: 15929.7979 - val_loss: 13215.4092\n", "Epoch 2/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 4935.1436 - val_loss: 3937.5193\n", + "2/2 [==============================] - 7s 3s/step - loss: 12912.0684 - val_loss: 11824.3398\n", "Epoch 3/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 3678.9116 - val_loss: 3049.6575\n", + "2/2 [==============================] - 7s 4s/step - loss: 10786.4141 - val_loss: 9507.6533\n", "Epoch 4/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 2859.1719 - val_loss: 2376.6355\n", + "2/2 [==============================] - 7s 4s/step - loss: 9096.8047 - val_loss: 7856.3164\n", "Epoch 5/51\n", - "2/2 [==============================] - 7s 4s/step - loss: 2207.0542 - val_loss: 1840.0145\n", + "2/2 [==============================] - 8s 4s/step - loss: 7517.0435 - val_loss: 6222.8926\n", "Epoch 6/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 1722.1689 - val_loss: 1406.9645\n", + "2/2 [==============================] - 7s 4s/step - loss: 5965.4648 - val_loss: 5128.1099\n", "Epoch 7/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 1323.4866 - val_loss: 1199.1160\n", + "2/2 [==============================] - 7s 4s/step - loss: 4863.2271 - val_loss: 4174.1621\n", "Epoch 8/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 1082.1609 - val_loss: 917.8708\n", + "2/2 [==============================] - 7s 4s/step - loss: 3934.9727 - val_loss: 3370.2607\n", "Epoch 9/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 898.5000 - val_loss: 806.7820\n", + "2/2 [==============================] - 7s 4s/step - loss: 3257.2351 - val_loss: 2732.5947\n", "Epoch 10/51\n", - "2/2 [==============================] - 8s 4s/step - loss: 703.7219 - val_loss: 657.7352\n", + "2/2 [==============================] - 8s 4s/step - loss: 2608.9888 - val_loss: 2227.7080\n", "Epoch 11/51\n", - "2/2 [==============================] - 6s 3s/step - loss: 638.2833 - val_loss: 555.1494\n", + "2/2 [==============================] - 7s 4s/step - loss: 2161.5386 - val_loss: 1876.0885\n", "Epoch 12/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 553.6462 - val_loss: 444.2623\n", + "2/2 [==============================] - 7s 4s/step - loss: 1814.2457 - val_loss: 1612.5216\n", "Epoch 13/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 457.5604 - val_loss: 416.9069\n", + "2/2 [==============================] - 7s 4s/step - loss: 1484.4209 - val_loss: 1311.6456\n", "Epoch 14/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 401.3963 - val_loss: 366.5942\n", + "2/2 [==============================] - 7s 4s/step - loss: 1224.3821 - val_loss: 1166.0951\n", "Epoch 15/51\n", - "2/2 [==============================] - 8s 4s/step - loss: 365.3686 - val_loss: 348.3865\n", + "2/2 [==============================] - 8s 4s/step - loss: 1061.3618 - val_loss: 1011.7182\n", "Epoch 16/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 327.4711 - val_loss: 310.9613\n", + "2/2 [==============================] - 7s 4s/step - loss: 962.4650 - val_loss: 839.9642\n", "Epoch 17/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 299.5698 - val_loss: 284.1241\n", + "2/2 [==============================] - 7s 4s/step - loss: 829.9553 - val_loss: 776.4599\n", "Epoch 18/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 272.0799 - val_loss: 266.6241\n", + "2/2 [==============================] - 7s 4s/step - loss: 719.6418 - val_loss: 660.7910\n", "Epoch 19/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 246.4434 - val_loss: 255.0475\n", + "2/2 [==============================] - 7s 4s/step - loss: 686.7539 - val_loss: 617.3184\n", "Epoch 20/51\n", - "2/2 [==============================] - 8s 4s/step - loss: 245.2350 - val_loss: 237.4940\n", + "2/2 [==============================] - 8s 4s/step - loss: 583.0263 - val_loss: 516.2367\n", "Epoch 21/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 212.0391 - val_loss: 231.9004\n", + "2/2 [==============================] - 7s 4s/step - loss: 509.5425 - val_loss: 535.0378\n", "Epoch 22/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 212.3131 - val_loss: 216.7229\n", + "2/2 [==============================] - 7s 4s/step - loss: 496.3735 - val_loss: 481.2069\n", "Epoch 23/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 195.4690 - val_loss: 190.9160\n", + "2/2 [==============================] - 7s 4s/step - loss: 475.7727 - val_loss: 446.0640\n", "Epoch 24/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 193.2227 - val_loss: 194.7928\n", + "2/2 [==============================] - 7s 4s/step - loss: 443.2039 - val_loss: 376.6488\n", "Epoch 25/51\n", - "2/2 [==============================] - 7s 4s/step - loss: 193.6985 - val_loss: 169.5555\n", + "2/2 [==============================] - 8s 4s/step - loss: 422.1971 - val_loss: 386.9991\n", "Epoch 26/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 174.5172 - val_loss: 173.4463\n", + "2/2 [==============================] - 7s 3s/step - loss: 370.3270 - val_loss: 369.4971\n", "Epoch 27/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 165.4242 - val_loss: 183.7720\n", + "2/2 [==============================] - 7s 3s/step - loss: 392.9566 - val_loss: 334.0217\n", "Epoch 28/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 154.7639 - val_loss: 168.1965\n", + "2/2 [==============================] - 7s 3s/step - loss: 338.5484 - val_loss: 320.5442\n", "Epoch 29/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 153.1868 - val_loss: 163.0595\n", + "2/2 [==============================] - 7s 3s/step - loss: 337.7948 - val_loss: 312.2009\n", "Epoch 30/51\n", - "2/2 [==============================] - 7s 4s/step - loss: 152.2904 - val_loss: 142.9842\n", + "2/2 [==============================] - 8s 4s/step - loss: 314.9409 - val_loss: 300.1625\n", "Epoch 31/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 143.3562 - val_loss: 132.1493\n", + "2/2 [==============================] - 7s 3s/step - loss: 310.1603 - val_loss: 278.2881\n", "Epoch 32/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 140.6969 - val_loss: 143.0676\n", + "2/2 [==============================] - 7s 3s/step - loss: 305.8915 - val_loss: 298.2998\n", "Epoch 33/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 142.6322 - val_loss: 142.1799\n", + "2/2 [==============================] - 7s 3s/step - loss: 287.5955 - val_loss: 288.3309\n", "Epoch 34/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 130.1466 - val_loss: 129.6878\n", + "2/2 [==============================] - 7s 3s/step - loss: 283.9495 - val_loss: 255.5597\n", "Epoch 35/51\n", - "2/2 [==============================] - 7s 4s/step - loss: 127.9280 - val_loss: 131.6451\n", + "2/2 [==============================] - 8s 4s/step - loss: 256.1317 - val_loss: 269.5176\n", "Epoch 36/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 131.2030 - val_loss: 122.4745\n", + "2/2 [==============================] - 7s 3s/step - loss: 253.5782 - val_loss: 269.3056\n", "Epoch 37/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 133.3869 - val_loss: 103.2765\n", + "2/2 [==============================] - 7s 3s/step - loss: 249.6908 - val_loss: 226.3905\n", "Epoch 38/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 132.2700 - val_loss: 127.0582\n", + "2/2 [==============================] - 7s 3s/step - loss: 253.2445 - val_loss: 237.1612\n", "Epoch 39/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 113.2234 - val_loss: 121.3756\n", + "2/2 [==============================] - 7s 3s/step - loss: 234.2375 - val_loss: 231.4832\n", "Epoch 40/51\n", - "2/2 [==============================] - 7s 4s/step - loss: 111.9243 - val_loss: 113.4292\n", + "2/2 [==============================] - 8s 4s/step - loss: 231.5943 - val_loss: 231.6224\n", "Epoch 41/51\n", - "2/2 [==============================] - 6s 3s/step - loss: 111.0466 - val_loss: 105.7018\n", + "2/2 [==============================] - 7s 3s/step - loss: 218.2147 - val_loss: 221.8320\n", "Epoch 42/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 123.4451 - val_loss: 103.8869\n", + "2/2 [==============================] - 7s 3s/step - loss: 220.9012 - val_loss: 240.5298\n", "Epoch 43/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 114.7098 - val_loss: 97.4422\n", + "2/2 [==============================] - 7s 3s/step - loss: 211.1725 - val_loss: 205.5212\n", "Epoch 44/51\n", - "2/2 [==============================] - 6s 3s/step - loss: 113.3122 - val_loss: 107.6767\n", + "2/2 [==============================] - 7s 3s/step - loss: 224.8228 - val_loss: 200.7258\n", "Epoch 45/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 105.7824 - val_loss: 114.8021\n", + "2/2 [==============================] - 7s 4s/step - loss: 207.0554 - val_loss: 198.2643\n", "Epoch 46/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 106.8160 - val_loss: 107.7101\n", + "2/2 [==============================] - 7s 3s/step - loss: 200.6980 - val_loss: 180.8142\n", "Epoch 47/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 104.4476 - val_loss: 97.8739\n", + "2/2 [==============================] - 7s 3s/step - loss: 203.3652 - val_loss: 187.8984\n", "Epoch 48/51\n", - "2/2 [==============================] - 6s 3s/step - loss: 104.1110 - val_loss: 96.1641\n", + "2/2 [==============================] - 7s 3s/step - loss: 196.5494 - val_loss: 182.3647\n", "Epoch 49/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 100.2287 - val_loss: 98.0298\n", + "2/2 [==============================] - 7s 3s/step - loss: 189.6450 - val_loss: 161.1358\n", "Epoch 50/51\n", - "2/2 [==============================] - 7s 4s/step - loss: 98.2767 - val_loss: 91.7998\n", + "2/2 [==============================] - 8s 4s/step - loss: 185.9033 - val_loss: 168.9382\n", "Epoch 51/51\n", - "2/2 [==============================] - 7s 3s/step - loss: 98.1237 - val_loss: 99.9926\n", + "2/2 [==============================] - 7s 3s/step - loss: 190.2202 - val_loss: 181.2446\n", "Unfreeze all layers.\n", "Train on 90 samples, val on 10 samples, with batch size 4.\n", "Epoch 52/102\n", - "2020-09-01 05:43:47.011280: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - " 1/22 [>.............................] - ETA: 0s - loss: 104.10312020-09-01 05:43:49.382428: I tensorflow/core/profiler/lib/profiler_session.cc:164] Profiler session started.\n", - "2020-09-01 05:43:50.255235: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1513] CUPTI activity buffer flushed\n", - "2020-09-01 05:43:50.276656: I tensorflow/core/profiler/internal/gpu/device_tracer.cc:223] GpuTracer has collected 3382 callback api events and 3382 activity events. \n", - "22/22 [==============================] - ETA: 0s - loss: 45.14602020-09-01 05:43:59.358908: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:43:59.373484: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:43:59.514320: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "22/22 [==============================] - 11s 494ms/step - loss: 45.1460 - val_loss: 87.6279\n", + "2020-10-30 23:04:10.373695: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + " 1/22 [>.............................] - ETA: 0s - loss: 231.43992020-10-30 23:04:12.758196: I tensorflow/core/profiler/lib/profiler_session.cc:164] Profiler session started.\n", + "2020-10-30 23:04:13.601367: I tensorflow/core/profiler/internal/gpu/cupti_tracer.cc:1513] CUPTI activity buffer flushed\n", + "2020-10-30 23:04:13.622225: I tensorflow/core/profiler/internal/gpu/device_tracer.cc:223] GpuTracer has collected 3381 callback api events and 3381 activity events. \n", + "22/22 [==============================] - ETA: 0s - loss: 90.80732020-10-30 23:04:22.616564: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 23:04:22.632765: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 23:04:22.776071: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "22/22 [==============================] - 11s 491ms/step - loss: 90.8073 - val_loss: 169.5884\n", "Epoch 53/102\n", - "22/22 [==============================] - 8s 371ms/step - loss: 29.0814 - val_loss: 46.6281\n", + "22/22 [==============================] - 8s 368ms/step - loss: 50.6019 - val_loss: 77.0588\n", "Epoch 54/102\n", - "22/22 [==============================] - 8s 372ms/step - loss: 25.1602 - val_loss: 31.7788\n", + "22/22 [==============================] - 8s 366ms/step - loss: 38.6482 - val_loss: 52.2659\n", "Epoch 55/102\n", - "22/22 [==============================] - 9s 410ms/step - loss: 22.5804 - val_loss: 25.0572\n", + "22/22 [==============================] - 9s 399ms/step - loss: 32.4213 - val_loss: 36.9149\n", "Epoch 56/102\n", - "22/22 [==============================] - 8s 372ms/step - loss: 20.2513 - val_loss: 20.9926\n", + "22/22 [==============================] - 8s 371ms/step - loss: 28.6312 - val_loss: 32.7113\n", "Epoch 57/102\n", - "22/22 [==============================] - 8s 375ms/step - loss: 19.7643 - val_loss: 20.6790\n", + "22/22 [==============================] - 8s 375ms/step - loss: 25.2766 - val_loss: 28.4830\n", "Epoch 58/102\n", - "22/22 [==============================] - 8s 375ms/step - loss: 20.0676 - val_loss: 18.8824\n", + "22/22 [==============================] - 8s 378ms/step - loss: 23.5689 - val_loss: 24.0823\n", "Epoch 59/102\n", - "22/22 [==============================] - 8s 374ms/step - loss: 17.7599 - val_loss: 17.4391\n", + "22/22 [==============================] - 8s 377ms/step - loss: 23.2251 - val_loss: 24.4128\n", "Epoch 60/102\n", - "22/22 [==============================] - 9s 410ms/step - loss: 17.1222 - val_loss: 16.1958\n", + "22/22 [==============================] - 9s 409ms/step - loss: 21.4673 - val_loss: 21.4949\n", "Epoch 61/102\n", - "22/22 [==============================] - 8s 377ms/step - loss: 17.4978 - val_loss: 19.6913\n", + "22/22 [==============================] - 8s 369ms/step - loss: 20.3096 - val_loss: 23.3963\n", "Epoch 62/102\n", - "22/22 [==============================] - 8s 377ms/step - loss: 16.1453 - val_loss: 17.9731\n", + "22/22 [==============================] - 8s 365ms/step - loss: 18.9909 - val_loss: 18.7617\n", "Epoch 63/102\n", - "22/22 [==============================] - ETA: 0s - loss: 17.1392\n", - "Epoch 00063: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-06.\n", - "22/22 [==============================] - 8s 375ms/step - loss: 17.1392 - val_loss: 16.4695\n", + "22/22 [==============================] - 8s 368ms/step - loss: 19.1878 - val_loss: 18.9400\n", "Epoch 64/102\n", - "22/22 [==============================] - 8s 375ms/step - loss: 15.7688 - val_loss: 17.9510\n", + "22/22 [==============================] - 8s 368ms/step - loss: 19.6002 - val_loss: 18.2318\n", "Epoch 65/102\n", - "22/22 [==============================] - 8s 379ms/step - loss: 16.0407 - val_loss: 16.6234\n", + "22/22 [==============================] - 9s 404ms/step - loss: 17.8339 - val_loss: 21.4888\n", "Epoch 66/102\n", - "22/22 [==============================] - ETA: 0s - loss: 15.7934\n", - "Epoch 00066: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-07.\n", - "22/22 [==============================] - 8s 379ms/step - loss: 15.7934 - val_loss: 17.6371\n", + "22/22 [==============================] - 8s 374ms/step - loss: 17.8645 - val_loss: 17.4071\n", "Epoch 67/102\n", - "22/22 [==============================] - 8s 378ms/step - loss: 15.5343 - val_loss: 16.8006\n", + "22/22 [==============================] - 8s 372ms/step - loss: 17.8168 - val_loss: 16.9673\n", "Epoch 68/102\n", - "22/22 [==============================] - 8s 381ms/step - loss: 15.4785 - val_loss: 17.3100\n", + "22/22 [==============================] - 8s 374ms/step - loss: 17.2105 - val_loss: 15.2548\n", "Epoch 69/102\n", - "22/22 [==============================] - 8s 381ms/step - loss: 15.2699 - val_loss: 15.7595\n", + "22/22 [==============================] - 8s 372ms/step - loss: 17.3012 - val_loss: 17.9111\n", "Epoch 70/102\n", - "22/22 [==============================] - 8s 384ms/step - loss: 15.5470 - val_loss: 16.2539\n", + "22/22 [==============================] - 9s 405ms/step - loss: 16.2306 - val_loss: 15.2512\n", "Epoch 71/102\n", - "22/22 [==============================] - 8s 385ms/step - loss: 15.6343 - val_loss: 14.9216\n", + "22/22 [==============================] - 8s 372ms/step - loss: 17.5057 - val_loss: 15.7986\n", "Epoch 72/102\n", - "22/22 [==============================] - 8s 383ms/step - loss: 15.2934 - val_loss: 15.8396\n", + "22/22 [==============================] - 8s 369ms/step - loss: 16.5140 - val_loss: 17.2108\n", "Epoch 73/102\n", - "22/22 [==============================] - 8s 384ms/step - loss: 14.9566 - val_loss: 16.5648\n", + "22/22 [==============================] - ETA: 0s - loss: 15.9989\n", + "Epoch 00073: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-06.\n", + "22/22 [==============================] - 8s 369ms/step - loss: 15.9989 - val_loss: 17.0117\n", "Epoch 74/102\n", - "22/22 [==============================] - ETA: 0s - loss: 15.6387\n", - "Epoch 00074: ReduceLROnPlateau reducing learning rate to 9.999999974752428e-08.\n", - "22/22 [==============================] - 8s 385ms/step - loss: 15.6387 - val_loss: 16.5532\n", + "22/22 [==============================] - 8s 370ms/step - loss: 16.0111 - val_loss: 16.7854\n", "Epoch 75/102\n", - "22/22 [==============================] - 9s 388ms/step - loss: 15.2157 - val_loss: 16.2932\n", + "22/22 [==============================] - 8s 371ms/step - loss: 15.7771 - val_loss: 16.0312\n", "Epoch 76/102\n", - "22/22 [==============================] - 8s 383ms/step - loss: 16.5436 - val_loss: 16.5181\n", + "22/22 [==============================] - 8s 370ms/step - loss: 15.8539 - val_loss: 14.5303\n", "Epoch 77/102\n", - "22/22 [==============================] - ETA: 0s - loss: 15.2677\n", - "Epoch 00077: ReduceLROnPlateau reducing learning rate to 1.0000000116860975e-08.\n", - "22/22 [==============================] - 8s 383ms/step - loss: 15.2677 - val_loss: 16.3084\n", + "22/22 [==============================] - 8s 370ms/step - loss: 15.4093 - val_loss: 16.4435\n", "Epoch 78/102\n", - "22/22 [==============================] - 8s 384ms/step - loss: 16.0984 - val_loss: 15.1827\n", + "22/22 [==============================] - 8s 374ms/step - loss: 16.3303 - val_loss: 15.8762\n", "Epoch 79/102\n", - "22/22 [==============================] - 8s 382ms/step - loss: 15.8378 - val_loss: 15.6945\n", + "22/22 [==============================] - 8s 369ms/step - loss: 14.3952 - val_loss: 14.4430\n", "Epoch 80/102\n", - "22/22 [==============================] - 9s 422ms/step - loss: 15.3878 - val_loss: 14.5643\n", + "22/22 [==============================] - 8s 369ms/step - loss: 15.8350 - val_loss: 16.1801\n", "Epoch 81/102\n", - "22/22 [==============================] - 8s 383ms/step - loss: 16.4861 - val_loss: 15.1490\n", + "22/22 [==============================] - 8s 367ms/step - loss: 15.2158 - val_loss: 15.1506\n", "Epoch 82/102\n", - "22/22 [==============================] - 8s 384ms/step - loss: 15.5504 - val_loss: 16.2034\n", + "22/22 [==============================] - 8s 371ms/step - loss: 15.0031 - val_loss: 14.1184\n", "Epoch 83/102\n", - "22/22 [==============================] - ETA: 0s - loss: 15.1474\n", - "Epoch 00083: ReduceLROnPlateau reducing learning rate to 9.999999939225292e-10.\n", - "22/22 [==============================] - 8s 385ms/step - loss: 15.1474 - val_loss: 16.5493\n", + "22/22 [==============================] - 8s 370ms/step - loss: 15.7372 - val_loss: 15.0192\n", "Epoch 84/102\n", - "22/22 [==============================] - 8s 384ms/step - loss: 15.3742 - val_loss: 15.3287\n", + "22/22 [==============================] - 8s 369ms/step - loss: 14.4388 - val_loss: 14.5689\n", "Epoch 85/102\n", - "22/22 [==============================] - 8s 386ms/step - loss: 14.7807 - val_loss: 16.4371\n", + "22/22 [==============================] - ETA: 0s - loss: 16.3426\n", + "Epoch 00085: ReduceLROnPlateau reducing learning rate to 9.999999747378752e-07.\n", + "22/22 [==============================] - 9s 411ms/step - loss: 16.3426 - val_loss: 14.8632\n", "Epoch 86/102\n", - "22/22 [==============================] - ETA: 0s - loss: 15.2889\n", - "Epoch 00086: ReduceLROnPlateau reducing learning rate to 9.999999717180686e-11.\n", - "22/22 [==============================] - 8s 384ms/step - loss: 15.2889 - val_loss: 14.9875\n", + "22/22 [==============================] - 8s 372ms/step - loss: 14.9786 - val_loss: 16.2134\n", "Epoch 87/102\n", - "22/22 [==============================] - 8s 385ms/step - loss: 16.3177 - val_loss: 16.9320\n", + "22/22 [==============================] - 8s 374ms/step - loss: 14.8890 - val_loss: 15.2766\n", "Epoch 88/102\n", - "22/22 [==============================] - 8s 385ms/step - loss: 15.7528 - val_loss: 16.4426\n", + "22/22 [==============================] - ETA: 0s - loss: 14.7649\n", + "Epoch 00088: ReduceLROnPlateau reducing learning rate to 9.999999974752428e-08.\n", + "22/22 [==============================] - 8s 374ms/step - loss: 14.7649 - val_loss: 15.6376\n", "Epoch 89/102\n", - "22/22 [==============================] - ETA: 0s - loss: 15.7955\n", - "Epoch 00089: ReduceLROnPlateau reducing learning rate to 9.99999943962493e-12.\n", - "22/22 [==============================] - 8s 386ms/step - loss: 15.7955 - val_loss: 17.2731\n", + "22/22 [==============================] - 8s 374ms/step - loss: 14.8572 - val_loss: 15.1246\n", "Epoch 90/102\n", - "22/22 [==============================] - 8s 384ms/step - loss: 15.1225 - val_loss: 16.8980\n", - "Epoch 00090: early stopping\n", - "2020-09-01 05:49:35.306104: W tensorflow/core/kernels/data/generator_dataset_op.cc:103] Error occurred when finalizing GeneratorDataset iterator: Failed precondition: Python interpreter state is not initialized. The process may be terminated.\n", + "22/22 [==============================] - 9s 404ms/step - loss: 15.2095 - val_loss: 14.5209\n", + "Epoch 91/102\n", + "22/22 [==============================] - ETA: 0s - loss: 15.3620\n", + "Epoch 00091: ReduceLROnPlateau reducing learning rate to 1.0000000116860975e-08.\n", + "22/22 [==============================] - 8s 371ms/step - loss: 15.3620 - val_loss: 15.1554\n", + "Epoch 92/102\n", + "22/22 [==============================] - 8s 372ms/step - loss: 14.6165 - val_loss: 15.1994\n", + "Epoch 00092: early stopping\n", + "2020-10-30 23:10:09.518012: W tensorflow/core/kernels/data/generator_dataset_op.cc:103] Error occurred when finalizing GeneratorDataset iterator: Failed precondition: Python interpreter state is not initialized. The process may be terminated.\n", "\t [[{{node PyFunc}}]]\n" ], "name": "stdout" @@ -1711,7 +1708,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "BpsWhtiFA207" }, "source": [ @@ -1721,13 +1717,11 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", "id": "w_c_QygVvRs_", + "outputId": "29c8bf1f-c8df-4bd7-dbb3-7f2f991451cc", "colab": { - "base_uri": "https://localhost:8080/", - "height": 34 - }, - "outputId": "2d2fdbb2-758b-49a2-c99c-18629f6898ee" + "base_uri": "https://localhost:8080/" + } }, "source": [ "%cd .." @@ -1746,8 +1740,8 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", "id": "GQX0Oc44vTL3", + "outputId": "5f4d4b10-073a-4107-bb6f-7ffbd620d521", "colab": { "resources": { "https://localhost:6006/": { @@ -1786,18 +1780,6 @@ "status": 200, "status_text": "" }, - "https://localhost:6006/data/environment": { - "data": "eyJkYXRhX2xvY2F0aW9uIjogIkRhdGEvTW9kZWxfV2VpZ2h0cyIsICJ3aW5kb3dfdGl0bGUiOiAiIn0=", - "ok": true, - "headers": [ - [ - "content-type", - "application/json" - ] - ], - "status": 200, - "status_text": "" - }, "https://localhost:6006/data/plugins_listing": { "data": "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", "ok": true, @@ -1811,7 +1793,19 @@ "status_text": "" }, "https://localhost:6006/data/runs": { - "data": "WyIxNTk4OTM4NjI1L3RyYWluIiwgIjE1OTg5Mzg2MjUvdmFsaWRhdGlvbiJd", + "data": "WyIxNjA0MDk4NjMwL3RyYWluIiwgIjE2MDQwOTg2MzAvdmFsaWRhdGlvbiJd", + "ok": true, + "headers": [ + [ + "content-type", + "application/json" + ] + ], + "status": 200, + "status_text": "" + }, + "https://localhost:6006/data/environment": { + "data": "eyJkYXRhX2xvY2F0aW9uIjogIkRhdGEvTW9kZWxfV2VpZ2h0cyIsICJ3aW5kb3dfdGl0bGUiOiAiIn0=", "ok": true, "headers": [ [ @@ -1847,7 +1841,7 @@ "status_text": "" }, "https://localhost:6006/data/plugin/scalars/tags": { - "data": "eyIxNTk4OTM4NjI1L3ZhbGlkYXRpb24iOiB7ImVwb2NoX2xvc3MiOiB7ImRpc3BsYXlOYW1lIjogImVwb2NoX2xvc3MiLCAiZGVzY3JpcHRpb24iOiAiIn19LCAiMTU5ODkzODYyNS90cmFpbiI6IHsiZXBvY2hfbG9zcyI6IHsiZGlzcGxheU5hbWUiOiAiZXBvY2hfbG9zcyIsICJkZXNjcmlwdGlvbiI6ICIifX19", + "data": "eyIxNjA0MDk4NjMwL3ZhbGlkYXRpb24iOiB7ImVwb2NoX2xvc3MiOiB7ImRpc3BsYXlOYW1lIjogImVwb2NoX2xvc3MiLCAiZGVzY3JpcHRpb24iOiAiIn19LCAiMTYwNDA5ODYzMC90cmFpbiI6IHsiZXBvY2hfbG9zcyI6IHsiZGlzcGxheU5hbWUiOiAiZXBvY2hfbG9zcyIsICJkZXNjcmlwdGlvbiI6ICIifX19", "ok": true, "headers": [ [ @@ -1858,8 +1852,8 @@ "status": 200, "status_text": "" }, - "https://localhost:6006/data/plugin/scalars/scalars?tag=epoch_loss&run=1598938625%2Ftrain": { - "data": "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", + "https://localhost:6006/data/plugin/scalars/scalars?tag=epoch_loss&run=1604098630%2Ftrain": { + "data": "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", "ok": true, "headers": [ [ @@ -1870,8 +1864,8 @@ "status": 200, "status_text": "" }, - "https://localhost:6006/data/plugin/scalars/scalars?tag=epoch_loss&run=1598938625%2Fvalidation": { - "data": "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", + "https://localhost:6006/data/plugin/scalars/scalars?tag=epoch_loss&run=1604098630%2Fvalidation": { + "data": "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", "ok": true, "headers": [ [ @@ -1881,24 +1875,11 @@ ], "status": 200, "status_text": "" - }, - "https://localhost:6006/font-roboto/d-6IYplOFocCacKzxwXSOJBw1xU1rKptJj_0jans920.woff2": { - "data": "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", - "ok": true, - "headers": [ - [ - "content-type", - "font/woff2" - ] - ], - "status": 200, - "status_text": "" } }, "base_uri": "https://localhost:8080/", "height": 821 - }, - "outputId": "c444edf2-5707-4278-d837-58c2cb29aabc" + } }, "source": [ "%load_ext tensorboard\n", @@ -1935,7 +1916,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "DIKOP9JFYM8Z" }, "source": [ @@ -1946,13 +1926,11 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", "id": "YT7m2lxkUFBS", + "outputId": "f746ac58-48ea-46b9-dcc3-b7465d249e9c", "colab": { - "base_uri": "https://localhost:8080/", - "height": 34 - }, - "outputId": "6e429beb-cffa-4e18-c8c9-90e651126711" + "base_uri": "https://localhost:8080/" + } }, "source": [ "%cd 3_Inference/" @@ -1971,13 +1949,11 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", "id": "dPtgm08xYn1r", + "outputId": "c54c98e9-9b72-4c67-c5ac-86fdb0c80a4c", "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "e97a4afa-a877-4e4d-861b-02ae2f00dfbe" + "base_uri": "https://localhost:8080/" + } }, "source": [ "!python Detector.py" @@ -1987,406 +1963,412 @@ { "output_type": "stream", "text": [ - "2020-09-01 05:49:40.554541: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:49:42.433715: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n", - "2020-09-01 05:49:42.472512: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:42.473357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", + "2020-10-30 23:10:14.833429: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 23:10:16.769034: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1\n", + "2020-10-30 23:10:16.807035: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:16.807673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", "pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5\n", "coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s\n", - "2020-09-01 05:49:42.473604: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:49:42.476409: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "2020-09-01 05:49:42.478585: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", - "2020-09-01 05:49:42.479230: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", - "2020-09-01 05:49:42.481530: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", - "2020-09-01 05:49:42.482704: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", - "2020-09-01 05:49:42.526291: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:49:42.526427: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:42.527004: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:42.527519: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", - "2020-09-01 05:49:42.533133: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2200000000 Hz\n", - "2020-09-01 05:49:42.533320: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2d82a00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", - "2020-09-01 05:49:42.533349: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", - "2020-09-01 05:49:42.643423: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:42.644291: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2d82bc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", - "2020-09-01 05:49:42.644326: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", - "2020-09-01 05:49:42.644522: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:42.645089: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", + "2020-10-30 23:10:16.807721: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 23:10:16.816447: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 23:10:16.820827: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", + "2020-10-30 23:10:16.825539: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", + "2020-10-30 23:10:16.833758: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", + "2020-10-30 23:10:16.836812: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", + "2020-10-30 23:10:16.856389: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 23:10:16.856513: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:16.857121: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:16.857674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", + "2020-10-30 23:10:16.874722: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2200000000 Hz\n", + "2020-10-30 23:10:16.874925: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1630a00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n", + "2020-10-30 23:10:16.874953: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version\n", + "2020-10-30 23:10:16.979293: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:16.979988: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1630f40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", + "2020-10-30 23:10:16.980019: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5\n", + "2020-10-30 23:10:16.980188: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:16.980769: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: \n", "pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5\n", "coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s\n", - "2020-09-01 05:49:42.645142: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:49:42.645189: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "2020-09-01 05:49:42.645213: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", - "2020-09-01 05:49:42.645233: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", - "2020-09-01 05:49:42.645252: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", - "2020-09-01 05:49:42.645274: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", - "2020-09-01 05:49:42.645296: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:49:42.645362: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:42.645890: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:42.646395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", - "2020-09-01 05:49:42.646446: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", - "2020-09-01 05:49:43.246107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n", - "2020-09-01 05:49:43.246163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 \n", - "2020-09-01 05:49:43.246175: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N \n", - "2020-09-01 05:49:43.246358: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:43.246945: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", - "2020-09-01 05:49:43.247471: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n", - "2020-09-01 05:49:43.247512: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13962 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n", - "/content/TrainYourOwnYOLO/Data/Model_Weights/trained_weights_final.h5 model, anchors, and classes loaded in 6.44sec.\n", + "2020-10-30 23:10:16.980813: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 23:10:16.980861: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", + "2020-10-30 23:10:16.980886: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10\n", + "2020-10-30 23:10:16.980908: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10\n", + "2020-10-30 23:10:16.980928: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusolver.so.10\n", + "2020-10-30 23:10:16.980950: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcusparse.so.10\n", + "2020-10-30 23:10:16.980973: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 23:10:16.981046: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:16.981649: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:16.982138: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0\n", + "2020-10-30 23:10:16.982185: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1\n", + "2020-10-30 23:10:17.585337: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:\n", + "2020-10-30 23:10:17.585407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0 \n", + "2020-10-30 23:10:17.585420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N \n", + "2020-10-30 23:10:17.585624: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:17.586209: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", + "2020-10-30 23:10:17.586734: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n", + "2020-10-30 23:10:17.586782: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 13962 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)\n", + "/content/TrainYourOwnYOLO/Data/Model_Weights/trained_weights_final.h5 model, anchors, and classes loaded in 6.55sec.\n", "Found 1 input labels: ['Cat_Face'] ...\n", - "Found 68 input images: ['20181204184341.jpeg', 'puppy_dog.jpg', '04ebfcfd_fa70_4e49_84ff_66cf3c5c0407_best_cat_toys_for_older_cats_3.jpg', '10332358_3x2_700x467.jpg', '49202627_303.jpg'] ...\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/20181204184341.jpeg\n", - "(416, 416, 3)\n", - "2020-09-01 05:49:50.497424: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:49:50.521909: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:49:50.688575: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", - "2020-09-01 05:49:50.813271: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", - "2020-09-01 05:49:52.394658: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", - "Found 1 boxes for img\n", - "Cat_Face 0.79 (31, 6) (108, 101)\n", - "Time spent: 3.250sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/puppy_dog.jpg\n", - "(416, 416, 3)\n", - "Found 0 boxes for img\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/04ebfcfd_fa70_4e49_84ff_66cf3c5c0407_best_cat_toys_for_older_cats_3.jpg\n", - "(416, 416, 3)\n", - "Found 0 boxes for img\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/10332358_3x2_700x467.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.93 (171, 0) (611, 381)\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/49202627_303.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.41 (399, 0) (649, 353)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/china_cloned_cat_2_0.jpg\n", - "(416, 416, 3)\n", - "Found 0 boxes for img\n", - "Time spent: 0.041sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pomeranian_68.jpg\n", - "(416, 416, 3)\n", - "Found 0 boxes for img\n", - "Time spent: 0.034sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Easter_Kittens_300x300.jpg\n", - "(416, 416, 3)\n", - "Found 4 boxes for img\n", - "Cat_Face 0.56 (217, 101) (300, 156)\n", - "Cat_Face 0.58 (106, 91) (178, 143)\n", - "Cat_Face 0.86 (180, 66) (243, 136)\n", - "Cat_Face 0.93 (15, 36) (110, 116)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/feline_3333896_640.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.92 (80, 0) (461, 400)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/puppy_1903313__340.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.79 (216, 59) (377, 216)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/49a87dd8_035e_3f29_22f0_d762051e8f14.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.90 (151, 22) (308, 162)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/single_minded_royalty_free_image_997141470_1558379890.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.71 (122, 0) (388, 310)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/husky_3380548__340.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.94 (79, 0) (290, 295)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/maxresdefault (1).jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.53 (32, 46) (476, 518)\n", - "Cat_Face 0.70 (410, 29) (1021, 656)\n", - "Time spent: 0.044sec\n", + "Found 68 input images: ['Featured_Image_for_Cat.jpg', 'china_cloned_cat_2_0.jpg', '100.jpg', '17_grumpy_cat_nymag_cover.w1200.h630.jpg', 'dog_landing_hero_lg.jpg'] ...\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Featured_Image_for_Cat.jpg\n", "(416, 416, 3)\n", + "2020-10-30 23:10:24.951379: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] layout failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 23:10:24.975636: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 23:10:25.140314: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:581] remapper failed: Invalid argument: Subshape must have computed start >= end since stride is negative, but is 0 and 2 (computed from start 0 and end 9223372036854775807 over shape with rank 2 and stride-1)\n", + "2020-10-30 23:10:25.273372: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudnn.so.7\n", + "2020-10-30 23:10:26.889363: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcublas.so.10\n", "Found 1 boxes for img\n", - "Cat_Face 0.98 (106, 95) (562, 375)\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5.jpg\n", + "Cat_Face 0.97 (167, 87) (497, 366)\n", + "Time spent: 3.318sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/china_cloned_cat_2_0.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 1.00 (12, 0) (233, 246)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/160825_vod_orig_historyofdogs_16x9_992.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.32 (341, 200) (445, 317)\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/14_20190709094206_8966619_large.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.94 (523, 16) (1137, 623)\n", - "Time spent: 0.048sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/samoyed_puppy_dog_pictures.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.62 (124, 68) (259, 225)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/cute_puppy_body_image.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.88 (143, 19) (351, 216)\n", - "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pearl_16x9.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.75 (83, 21) (354, 204)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/KTYY2YRXUII6TA3V4POPNNUFLA.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.85 (9, 0) (1456, 1272)\n", - "Time spent: 0.053sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/17_cat_essentials.w700.h700.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.84 (62, 231) (283, 466)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pets_4415649__340.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.44 (213, 128) (278, 189)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/17_grumpy_cat_nymag_cover.w1200.h630.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.70 (264, 0) (888, 610)\n", + "Cat_Face 0.38 (634, 87) (828, 313)\n", "Time spent: 0.042sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/100.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.90 (327, 69) (565, 281)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Science_husky_1093906290.jpg\n", + "Cat_Face 0.83 (371, 86) (537, 271)\n", + "Time spent: 0.041sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/17_grumpy_cat_nymag_cover.w1200.h630.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.98 (616, 134) (1460, 1145)\n", - "Time spent: 0.058sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/sei74187425.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.82 (148, 0) (790, 681)\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/_107076735_shihtzu976.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.26 (302, 80) (554, 277)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Borowitz_BorisJohnsonDog.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.38 (220, 213) (632, 399)\n", - "Time spent: 0.038sec\n", + "Cat_Face 0.94 (227, 6) (953, 566)\n", + "Time spent: 0.041sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/dog_landing_hero_lg.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.85 (19, 0) (554, 407)\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/ECgQI_aWsAEBZL_.jpg\n", + "Cat_Face 0.92 (61, 0) (546, 442)\n", + "Time spent: 0.039sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.97 (334, 74) (875, 488)\n", - "Time spent: 0.041sec\n", + "Cat_Face 1.00 (14, 14) (213, 219)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/36e85e4998d04dae9ebfc1c143a74b3d_edd828e54bf544d89229429d744d74b7_1_post.jpeg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.80 (386, 161) (627, 443)\n", + "Time spent: 0.047sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/539814_istock_821264870.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.54 (283, 0) (954, 594)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/maxresdefault.jpg\n", + "Cat_Face 0.91 (129, 3) (1100, 598)\n", + "Time spent: 0.041sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/10332358_3x2_700x467.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.61 (437, 119) (604, 438)\n", - "Time spent: 0.043sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5aa10ca0d877e618008b4678_750_562.jpg\n", + "Cat_Face 0.99 (156, 0) (574, 395)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/1_3.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.76 (206, 0) (530, 561)\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/67056618_500x406.jpg\n", + "Cat_Face 0.99 (782, 0) (1838, 1372)\n", + "Time spent: 0.095sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Lagotto_Romangolo_Tongue_Out.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.93 (230, 3) (723, 482)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/image.jpg\n", "(416, 416, 3)\n", "Found 2 boxes for img\n", - "Cat_Face 0.27 (112, 0) (466, 376)\n", - "Cat_Face 0.96 (182, 40) (417, 258)\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Carolina_Dog.jpg\n", + "Cat_Face 0.44 (31, 201) (138, 263)\n", + "Cat_Face 0.48 (93, 102) (189, 169)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/feline_3333896_640.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.30 (381, 0) (484, 163)\n", - "Time spent: 0.036sec\n", + "Cat_Face 0.99 (81, 1) (469, 392)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/sei74187425.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.96 (220, 0) (764, 681)\n", + "Time spent: 0.042sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/66185314_2297595197159603_5846688980096480369_n.jpg\n", "(416, 416, 3)\n", "Found 2 boxes for img\n", - "Cat_Face 0.81 (159, 75) (344, 267)\n", - "Cat_Face 0.88 (255, 370) (458, 518)\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/961d1691_dfb88af9_1280w.jpg\n", + "Cat_Face 0.71 (168, 90) (320, 266)\n", + "Cat_Face 0.86 (264, 356) (454, 535)\n", + "Time spent: 0.041sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/golden_retriever_puppy.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.97 (190, 26) (915, 595)\n", + "Cat_Face 0.96 (285, 38) (834, 661)\n", "Time spent: 0.042sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/image.jpg\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/husky_3380548__340.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.29 (34, 97) (244, 173)\n", + "Cat_Face 0.97 (54, 0) (323, 292)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/puppy_1903313__340.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.82 (203, 75) (400, 204)\n", "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pexels_photo_1108099.jpeg\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/cute_puppy_body_image.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.36 (112, 67) (331, 165)\n", + "Cat_Face 0.86 (108, 29) (374, 216)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/190207162239_01_fluffy_frozen_cat_trnd_exlarge_169.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.32 (154, 78) (242, 207)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/photo_1510771463146_e89e6e86560e.jpg\n", + "Cat_Face 0.82 (437, 199) (574, 339)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/105488.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.38 (334, 883) (952, 1429)\n", - "Time spent: 0.060sec\n", + "Cat_Face 0.96 (88, 36) (367, 353)\n", + "Time spent: 0.039sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/chinese_company_that_cloned_a_pet_cat_now_want_to_copy_pets_t3h3.910.jpg\n", + "(416, 416, 3)\n", + "Found 2 boxes for img\n", + "Cat_Face 0.95 (168, 67) (442, 342)\n", + "Cat_Face 0.96 (531, 58) (825, 316)\n", + "Time spent: 0.039sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/dog_landing_hero_sm.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.74 (34, 0) (413, 568)\n", + "Time spent: 0.042sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/KTYY2YRXUII6TA3V4POPNNUFLA.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.96 (105, 0) (1414, 1129)\n", + "Time spent: 0.054sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/single_minded_royalty_free_image_997141470_1558379890.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.97 (83, 0) (438, 267)\n", + "Time spent: 0.037sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/105992231_1561667465295gettyimages_521697453.jpeg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.64 (280, 29) (404, 169)\n", + "Cat_Face 0.78 (231, 35) (448, 167)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/17_cat_essentials.w700.h700.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.92 (57, 248) (282, 431)\n", + "Time spent: 0.042sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Carolina_Dog.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.36 (363, 14) (492, 160)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/maxresdefault.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.57 (445, 135) (603, 410)\n", + "Time spent: 0.042sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Easter_Kittens_300x300.jpg\n", + "(416, 416, 3)\n", + "Found 4 boxes for img\n", + "Cat_Face 0.70 (241, 94) (300, 163)\n", + "Cat_Face 0.79 (120, 74) (167, 159)\n", + "Cat_Face 0.89 (186, 67) (240, 136)\n", + "Cat_Face 0.91 (28, 38) (101, 112)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0_Cat_research.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.90 (266, 2) (435, 155)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pomeranian_68.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.95 (213, 106) (533, 330)\n", "Time spent: 0.037sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/4e66a4d0_7f81_4bda_882d_d7a18937f061_poster.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.53 (276, 0) (1583, 1080)\n", + "Cat_Face 0.93 (0, 0) (1920, 1080)\n", "Time spent: 0.052sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/golden_retriever_puppy.jpg\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/1451208.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.81 (307, 76) (758, 516)\n", - "Time spent: 0.045sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/dog_landing_hero_sm.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.68 (0, 5) (523, 492)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5b50bd5351dfbe1f008b45c5_750_562.jpg\n", + "Cat_Face 0.86 (43, 0) (433, 251)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/puppy_dog.jpg\n", "(416, 416, 3)\n", "Found 0 boxes for img\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0809_Cat_CNN.jpg\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/49202627_303.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.82 (263, 41) (563, 307)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/633bd23689846b66b7891edea332a350.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.89 (32, 70) (484, 408)\n", - "Time spent: 0.041sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Eloise1.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.67 (265, 0) (562, 346)\n", - "Time spent: 0.042sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/over_active_dog_211592482.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.44 (196, 35) (338, 145)\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0_PAY_GRUMPY_CAT.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.37 (91, 0) (527, 394)\n", - "Cat_Face 0.57 (159, 7) (448, 321)\n", - "Time spent: 0.039sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/e0dfdbdb_892b_4aad_84d6_03b5729899a1.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.98 (19, 74) (231, 277)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5d261a225562d.image.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.94 (383, 0) (904, 610)\n", - "Time spent: 0.041sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/105488.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.87 (87, 0) (378, 413)\n", + "Cat_Face 0.77 (421, 15) (674, 285)\n", "Time spent: 0.036sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/420508170.jpg\n", "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.67 (72, 1) (181, 184)\n", - "Cat_Face 0.74 (2, 8) (249, 193)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.93 (44, 14) (202, 169)\n", + "Time spent: 0.040sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/04ebfcfd_fa70_4e49_84ff_66cf3c5c0407_best_cat_toys_for_older_cats_3.jpg\n", + "(416, 416, 3)\n", + "Found 0 boxes for img\n", "Time spent: 0.037sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/36e85e4998d04dae9ebfc1c143a74b3d_edd828e54bf544d89229429d744d74b7_1_post.jpeg\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Science_husky_1093906290.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.77 (372, 137) (622, 458)\n", - "Time spent: 0.045sec\n", + "Cat_Face 1.00 (545, 0) (1545, 1270)\n", + "Time spent: 0.059sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0809_Cat_CNN.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.86 (291, 49) (542, 309)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/160825_vod_orig_historyofdogs_16x9_992.jpg\n", + "(416, 416, 3)\n", + "Found 4 boxes for img\n", + "Cat_Face 0.41 (749, 210) (909, 382)\n", + "Cat_Face 0.44 (190, 168) (299, 345)\n", + "Cat_Face 0.49 (429, 178) (622, 326)\n", + "Cat_Face 0.68 (329, 177) (457, 354)\n", + "Time spent: 0.043sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pug.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.82 (79, 0) (321, 300)\n", - "Time spent: 0.034sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Lagotto_Romangolo_Tongue_Out.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.71 (255, 0) (684, 487)\n", - "Time spent: 0.038sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/1451208.jpg\n", - "(416, 416, 3)\n", - "Found 0 boxes for img\n", + "Cat_Face 0.97 (26, 16) (376, 279)\n", "Time spent: 0.034sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/71aqYo6ZBpL._AC.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.85 (249, 141) (777, 696)\n", - "Time spent: 0.049sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0_Cat_research.jpg\n", + "Cat_Face 0.95 (158, 83) (858, 708)\n", + "Time spent: 0.050sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/_107076735_shihtzu976.jpg\n", "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.87 (301, 23) (418, 139)\n", - "Time spent: 0.035sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/chinese_company_that_cloned_a_pet_cat_now_want_to_copy_pets_t3h3.910.jpg\n", - "(416, 416, 3)\n", - "Found 2 boxes for img\n", - "Cat_Face 0.95 (542, 51) (818, 340)\n", - "Cat_Face 0.95 (167, 83) (471, 321)\n", - "Time spent: 0.040sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/1_3.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.97 (841, 171) (1777, 1294)\n", - "Time spent: 0.089sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/76DB73722C98408CB576F3C87486B768.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.93 (344, 12) (983, 552)\n", - "Time spent: 0.045sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/190207162239_01_fluffy_frozen_cat_trnd_exlarge_169.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.79 (411, 158) (577, 376)\n", - "Time spent: 0.036sec\n", - "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/IMG_6115.jpg\n", - "(416, 416, 3)\n", - "Found 1 boxes for img\n", - "Cat_Face 0.54 (278, 119) (857, 799)\n", - "Time spent: 0.046sec\n", + "Found 3 boxes for img\n", + "Cat_Face 0.46 (290, 121) (546, 324)\n", + "Cat_Face 0.68 (79, 0) (582, 371)\n", + "Cat_Face 0.72 (157, 32) (510, 333)\n", + "Time spent: 0.038sec\n", "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/356950.jpg\n", "(416, 416, 3)\n", "Found 1 boxes for img\n", - "Cat_Face 0.32 (217, 42) (400, 187)\n", + "Cat_Face 0.43 (259, 35) (367, 191)\n", "Time spent: 0.037sec\n", - "Processed 68 images in 8.3sec - 8.2FPS\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/20181204184341.jpeg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.91 (31, 14) (112, 95)\n", + "Time spent: 0.034sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/67056618_500x406.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (143, 0) (445, 283)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/76DB73722C98408CB576F3C87486B768.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.94 (284, 0) (1050, 607)\n", + "Time spent: 0.045sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/samoyed_puppy_dog_pictures.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.71 (131, 79) (252, 210)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/over_active_dog_211592482.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.67 (172, 31) (363, 148)\n", + "Time spent: 0.045sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/961d1691_dfb88af9_1280w.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (255, 6) (858, 580)\n", + "Time spent: 0.046sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pexels_photo_1108099.jpeg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.67 (133, 92) (269, 200)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/e0dfdbdb_892b_4aad_84d6_03b5729899a1.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 1.00 (27, 54) (207, 296)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/633bd23689846b66b7891edea332a350.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.98 (68, 0) (431, 450)\n", + "Time spent: 0.038sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pearl_16x9.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (107, 0) (336, 237)\n", + "Time spent: 0.035sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5b50bd5351dfbe1f008b45c5_750_562.jpg\n", + "(416, 416, 3)\n", + "Found 0 boxes for img\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5aa10ca0d877e618008b4678_750_562.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.96 (178, 0) (687, 562)\n", + "Time spent: 0.039sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/maxresdefault (1).jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.64 (495, 98) (990, 622)\n", + "Time spent: 0.042sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Borowitz_BorisJohnsonDog.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.47 (374, 237) (590, 430)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/photo_1510771463146_e89e6e86560e.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.64 (242, 829) (1026, 1490)\n", + "Time spent: 0.060sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/IMG_6115.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.80 (286, 204) (890, 855)\n", + "Time spent: 0.051sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/Eloise1.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.81 (182, 0) (641, 339)\n", + "Time spent: 0.040sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/ECgQI_aWsAEBZL_.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (311, 5) (895, 568)\n", + "Time spent: 0.040sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/pets_4415649__340.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.70 (211, 133) (273, 182)\n", + "Time spent: 0.036sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/14_20190709094206_8966619_large.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (374, 16) (1299, 652)\n", + "Time spent: 0.045sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/49a87dd8_035e_3f29_22f0_d762051e8f14.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.93 (158, 0) (312, 186)\n", + "Time spent: 0.033sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/0_PAY_GRUMPY_CAT.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.79 (71, 14) (538, 319)\n", + "Time spent: 0.037sec\n", + "/content/TrainYourOwnYOLO/Data/Source_Images/Test_Images/5d261a225562d.image.jpg\n", + "(416, 416, 3)\n", + "Found 1 boxes for img\n", + "Cat_Face 0.99 (353, 0) (925, 631)\n", + "Time spent: 0.044sec\n", + "Processed 68 images in 8.5sec - 8.0FPS\n", "Found 2 input videos: ['CatVideo.mp4', 'MonkeyVideo.mp4'] ...\n", "Processing CatVideo.mp4 with frame size (1280, 720) at 24.0 FPS\n", "Processing MonkeyVideo.mp4 with frame size (640, 360) at 25.0 FPS\n", - "Processed 2 videos in 27.7sec\n" + "Processed 2 videos in 28.1sec\n" ], "name": "stdout" } @@ -2395,7 +2377,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "y7w2L_PCY5zJ" }, "source": [ @@ -2424,7 +2405,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "_HvISVwScrug" }, "source": [ @@ -2435,9 +2415,7 @@ { "cell_type": "code", "metadata": { - "colab_type": "code", - "id": "fjR6lnjeY5G6", - "colab": {} + "id": "fjR6lnjeY5G6" }, "source": [ "from google.colab import drive\n", @@ -2450,7 +2428,6 @@ { "cell_type": "markdown", "metadata": { - "colab_type": "text", "id": "TgcPDOKucqkH" }, "source": [ diff --git a/requirements.txt b/requirements.txt index c793b39..0df717a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -58,6 +58,7 @@ toml==0.10.1 typed-ast==1.4.1 typing-extensions==3.7.4.3 urllib3==1.25.10 +wandb==0.10.8 Werkzeug==1.0.1 wrapt==1.12.1 zipp==3.1.0