Vishaal Udandarao
1 linha
192 KiB
Plaintext
1 linha
192 KiB
Plaintext
{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Copy of AFC_Project_Surabhi.ipynb","provenance":[],"collapsed_sections":[],"toc_visible":true},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"mYL9LHoYMd4U","colab_type":"code","outputId":"6f901de2-319f-4d63-fae7-2b572bc6fc1a","executionInfo":{"status":"ok","timestamp":1589636255537,"user_tz":-330,"elapsed":2267,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["from google.colab import drive\n","drive.mount(\"/drive\")"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Drive already mounted at /drive; to attempt to forcibly remount, call drive.mount(\"/drive\", force_remount=True).\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"F5lbgodToXa5","colab_type":"code","outputId":"ff9ea3d5-9a1f-40ee-8358-50640dfd3896","executionInfo":{"status":"ok","timestamp":1589636260055,"user_tz":-330,"elapsed":2445,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["cd '/drive/My Drive/AFC_Project_data/'"],"execution_count":0,"outputs":[{"output_type":"stream","text":["/drive/.shortcut-targets-by-id/153UGg9jSt1C_ZcZyrsMvAqhvGzqkjrjf/AFC_Project_data\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"cL2M3dxd59kA","colab_type":"code","colab":{}},"source":["import os\n","import numpy as np\n","import pandas as pd\n","import json\n","from tqdm import tqdm"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"9uROgauU4eiF","colab_type":"code","outputId":"f09e6856-40ec-4ed4-918e-52aeceb0d399","executionInfo":{"status":"ok","timestamp":1589636267516,"user_tz":-330,"elapsed":935,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["cd '/drive/My Drive/AFC_Project_data/AFEW_data/processed_images/'"],"execution_count":0,"outputs":[{"output_type":"stream","text":["/drive/.shortcut-targets-by-id/153UGg9jSt1C_ZcZyrsMvAqhvGzqkjrjf/AFC_Project_data/AFEW_data/processed_images\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"MXLRQF819Fkq","colab_type":"code","colab":{}},"source":["subfolders = os.listdir(\".\")\n","subfolders.sort()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"C9Ynl9FYoz9N","colab_type":"code","colab":{}},"source":["d = {}"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"uz2ydetI409l","colab_type":"code","outputId":"84334b17-1fdf-4e89-ce3a-729bafa8831e","executionInfo":{"status":"ok","timestamp":1589467430059,"user_tz":-330,"elapsed":5209,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["uniqarousal = []\n","uniqvalence = []\n","\n","for subfolder in tqdm(subfolders):\n"," if subfolder == \"README.md\":\n"," continue\n"," path = \"./\" + subfolder + \"/\" + subfolder + \".json\"\n"," with open(path, \"r\") as read_file:\n"," jsonfile = json.load(read_file)\n"," num_frames = len(jsonfile['frames'].keys())\n"," frames = list(jsonfile['frames'].keys())\n"," frames.sort()\n"," frameobj = jsonfile['frames']\n"," # print(subfolder, num_frames)\n"," for frame in frames:\n"," imgobj = frameobj[frame]\n"," ar = imgobj['arousal']\n"," va = imgobj['valence']\n"," name = subfolder + \"_\" + frame\n"," d[name] = [va, ar]\n"," if ar not in uniqarousal:\n"," uniqarousal.append(ar)\n"," if va not in uniqvalence:\n"," uniqvalence.append(va)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["100%|██████████| 601/601 [00:04<00:00, 140.50it/s]\n"],"name":"stderr"}]},{"cell_type":"code","metadata":{"id":"aFqMYIjjp5om","colab_type":"code","colab":{}},"source":["with open('/drive/My Drive/AFC_Project_data/AFEW_va.json', 'w') as fp:\n"," # json.dump(sample, fp)\n"," json.dump(d, fp)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"p9i23F5K575L","colab_type":"code","outputId":"52292cad-4023-48d8-c8ad-bd2d10b526c1","executionInfo":{"status":"ok","timestamp":1589456637045,"user_tz":-330,"elapsed":1089,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":51}},"source":["uniqarousal.sort()\n","uniqvalence.sort()\n","print(uniqarousal, len(uniqarousal))\n","print(uniqvalence, len(uniqvalence))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["[-7.0, -6.0, -5, -4.0, -3.0, -2, -1.0, 0.0, 1, 2, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9] 17\n","[-10, -9.0, -8.0, -7.0, -6.0, -5.0, -4, -3, -2, -1.0, 0.0, 1, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8] 19\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"g636LYvJ_S2h","colab_type":"code","colab":{}},"source":["# Test, Train, Val Sets:\n","# Train - 1 to 540 = 540 actors\n","# Val = 20% of Train\n","# Test1 - 541 - 600 = 60 actors\n","# Test2 - IMFDB"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"npGn6UaxBF3n","colab_type":"code","outputId":"73d86f96-a125-4715-a47e-d9ea12c9686e","executionInfo":{"status":"ok","timestamp":1589468994806,"user_tz":-330,"elapsed":1234,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["cd '/drive/My Drive/AFC_Project_data/AffectNet_data/'"],"execution_count":0,"outputs":[{"output_type":"stream","text":["/drive/.shortcut-targets-by-id/153UGg9jSt1C_ZcZyrsMvAqhvGzqkjrjf/AFC_Project_data/AffectNet_data\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"19Awj-8jrdVg","colab_type":"code","colab":{}},"source":["cnt = 0\n","names = []\n","for root, dirs, files in os.walk(\".\"):\n"," print(root, dirs, files)\n"," break\n"," cnt += 1\n"," if cnt == 5000:\n"," break\n"," names.append(files)"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"y3dcYou5RL5b","colab_type":"text"},"source":["# **Ellipse Sampling**"]},{"cell_type":"code","metadata":{"id":"txZBIhNmsEKP","colab_type":"code","outputId":"c094504d-886f-46b7-8d22-d6c39695a1f5","executionInfo":{"status":"ok","timestamp":1589636296211,"user_tz":-330,"elapsed":1029,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["cd '/drive/My Drive/AFC_Project_data/AffectNet/annotation/'"],"execution_count":0,"outputs":[{"output_type":"stream","text":["/drive/.shortcut-targets-by-id/153UGg9jSt1C_ZcZyrsMvAqhvGzqkjrjf/AFC_Project_data/AffectNet/annotation\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"Vffh6tcqwQBO","colab_type":"code","colab":{}},"source":["train = pd.read_csv(\"training.csv\")"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"vsp1UpkpzslQ","colab_type":"code","colab":{}},"source":["train = train[train['valence'] != -2]\n","train = train[train['arousal'] != -2]"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"nbVSOff767wR","colab_type":"code","colab":{}},"source":["counts = train.groupby(['expression']).count()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"PmiAFNdSwZje","colab_type":"code","colab":{}},"source":["means = train.groupby(['expression']).mean()\n","stds = train.groupby(['expression']).std()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Vr4swECzxCjC","colab_type":"code","outputId":"ba80ce71-a70f-4db9-fb2f-d16356323fab","executionInfo":{"status":"ok","timestamp":1589636327943,"user_tz":-330,"elapsed":886,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":578}},"source":["print(means[\"valence\"][0:7], stds[\"valence\"][0:7], means[\"arousal\"][0:7], stds[\"arousal\"][0:7])"],"execution_count":0,"outputs":[{"output_type":"stream","text":["expression\n","0 -0.062719\n","1 0.664328\n","2 -0.637006\n","3 0.180444\n","4 -0.125745\n","5 -0.693719\n","6 -0.452736\n","Name: valence, dtype: float64 expression\n","0 0.183525\n","1 0.162671\n","2 0.221066\n","3 0.174439\n","4 0.071007\n","5 0.151534\n","6 0.174105\n","Name: valence, dtype: float64 expression\n","0 -0.019574\n","1 0.070280\n","2 -0.257004\n","3 0.689328\n","4 0.766180\n","5 0.457344\n","6 0.566778\n","Name: arousal, dtype: float64 expression\n","0 0.147558\n","1 0.166012\n","2 0.141985\n","3 0.157603\n","4 0.136925\n","5 0.110895\n","6 0.197566\n","Name: arousal, dtype: float64\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"e2sDnxCZxfod","colab_type":"code","colab":{}},"source":["neutral = [ means[\"valence\"][0], stds[\"valence\"][0], means[\"arousal\"][0], stds[\"arousal\"][0] ]\n","happy = [ means[\"valence\"][1], stds[\"valence\"][1], means[\"arousal\"][1], stds[\"arousal\"][1] ]\n","sad = [ means[\"valence\"][2], stds[\"valence\"][2], means[\"arousal\"][2], stds[\"arousal\"][2] ]\n","surprise = [ means[\"valence\"][3], stds[\"valence\"][3], means[\"arousal\"][3], stds[\"arousal\"][3] ]\n","fear = [ means[\"valence\"][4], stds[\"valence\"][4], means[\"arousal\"][4], stds[\"arousal\"][4] ]\n","disgust = [ means[\"valence\"][5], stds[\"valence\"][5], means[\"arousal\"][5], stds[\"arousal\"][5] ]\n","anger = [ means[\"valence\"][6], stds[\"valence\"][6], means[\"arousal\"][6], stds[\"arousal\"][6] ]"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"buhlDy9k1gT0","colab_type":"code","colab":{}},"source":["import matplotlib.pyplot as plt\n","from matplotlib.patches import Ellipse"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"LdpvyEgl4gPu","colab_type":"code","outputId":"ea36c78c-18bc-463c-f825-6bc0ba5dc6da","executionInfo":{"status":"ok","timestamp":1589643082673,"user_tz":-330,"elapsed":1412,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":338}},"source":["eneu = Ellipse((neutral[0], neutral[2]), neutral[1]*2, neutral[3]*2, color='black')\n","ehap = Ellipse((happy[0], happy[2]), happy[1]*2, happy[3]*2, color='orange')\n","esad = Ellipse((sad[0], sad[2]), sad[1]*2, sad[3]*2, color='grey')\n","esur = Ellipse((surprise[0], surprise[2]), surprise[1]*2, surprise[3]*2, color='pink')\n","efea = Ellipse((fear[0], fear[2]), fear[1]*2, fear[3]*2, color='blue')\n","edis = Ellipse((disgust[0], disgust[2]), disgust[1]*2, disgust[3]*2, color='green')\n","eang = Ellipse((anger[0], anger[2]), anger[1]*2, anger[3]*2, color='red')\n","\n","\n","fig, ax = plt.subplots(figsize=(5, 5))\n","ax.add_artist(eneu)\n","ax.add_artist(ehap)\n","ax.add_artist(esad)\n","ax.add_artist(esur)\n","ax.add_artist(efea)\n","ax.add_artist(edis)\n","ax.add_artist(eang)\n","ax.set_xlim((-1, 1))\n","ax.set_ylim((-1, 1))\n","ax.set_xlabel(\"Valence\")\n","ax.set_ylabel(\"Arousal\")\n","ax.legend([eneu, ehap, esad, esur, efea, edis, eang], [\"Neutral\", \"Happy\", \"Sad\", \"Surprise\", \"Fear\", \"Disgust\", \"Anger\"])\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"aOCFbepC3vCQ","colab_type":"code","outputId":"085ba1de-c4a9-41ef-c0f2-882286a5b6a0","executionInfo":{"status":"ok","timestamp":1589636358602,"user_tz":-330,"elapsed":2210,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["cd '/drive/My Drive/AFC_Project_data/IMFDB_data/IMFDB_final/'"],"execution_count":0,"outputs":[{"output_type":"stream","text":["/drive/.shortcut-targets-by-id/153UGg9jSt1C_ZcZyrsMvAqhvGzqkjrjf/AFC_Project_data/IMFDB_data/IMFDB_final\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"y1zYB_r6UpJo","colab_type":"code","colab":{}},"source":["actors = os.listdir(\".\")\n","actors.sort()\n","actors = actors[1:]"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"kiOA6ezovg4w","colab_type":"code","colab":{}},"source":["np.random.seed(seed=5230)\n","def sample_ellipse(c, a, b):\n"," rho = np.random.uniform(0, 1)\n"," theta = np.random.uniform(0, 2 * np.pi)\n"," x = np.sqrt(rho) * np.cos(theta)\n"," y = np.sqrt(rho) * np.sin(theta)\n"," x = x * a + c[0]\n"," y = y * b + c[1]\n"," return [x, y]"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"n29Ul9nH36s1","colab_type":"code","colab":{}},"source":["d_IMFDB_label = {}\n","d_IMFDB_va = {}\n","freq_IMFDB_labels = {\"NEUTRAL\": 0, \"HAPPINESS\": 0, \"SADNESS\": 0, \"SURPRISE\": 0, \"FEAR\": 0, \"DISGUST\": 0, \"ANGER\": 0}\n","for actor in actors:\n"," movies = os.listdir(\"./\" + actor + \"/\")\n"," movies.sort()\n"," for movie in movies:\n"," if movie == \".DS_Store\" or (movie == \"3Idiots\" and actor == \"Madhavan\") or (movie == \"Dhwani\" and actor == \"PremaNazir\") or (movie == \"Extras\" and actor == \"Bharathi\") or (movie == \"Twenty-20\" and actor == \"Jagathi\") or (movie == \"KuchKuchhotahai\" and actor == \"Kajol\") or (movie == \"Twenty-20\" and actor == \"Mamootty\") or (movie == \"extras_Malla\" and actor == \"Pavithralokesh\") or (movie == \"extras_NayiNeralu\" and actor == \"Pavithralokesh\") or (movie == \"extras_Raakshasudu\" and actor == \"Pavithralokesh\") or (movie == \"Annamayya\" and actor == \"RamyaKrishna\") or (movie == \"KuchKuchhotahai\" and actor == \"Ranimukherji\") or (movie == \"Dhwani\" and actor == \"Shobana\") or (movie == \"Extras\" and actor == \"Bharathi\") or (movie == \"Twenty-20\" and actor == \"Jagathi\") or (movie == \"KuchKuchhotahai\" and actor == \"Kajol\") or (movie == \"Twenty-20\" and actor == \"Mamootty\") or (movie == \"extras_Malla\" and actor == \"Pavithralokesh\") or (movie == \"extras_NayiNeralu\" and actor == \"Pavithralokesh\") or (movie == \"extras_Raakshasudu\" and actor == \"Pavithralokesh\") or (movie == \"Annamayya\" and actor == \"RamyaKrishna\") or (movie == \"KuchKuchhotahai\" and actor == \"Ranimukherji\") or (movie == \"Dhwani\" and actor == \"Thilakan\"):\n"," continue\n"," txtfile = open(\"./\" + actor + \"/\" + movie + \"/\" + movie + \".txt\", 'r')\n"," lines = txtfile.readlines()\n","\n"," for line in lines:\n"," try:\n"," arr = line.split(\"\\t\")\n"," key = movie + \"_\" + arr[2]\n"," assert arr[11] in [\"NEUTRAL\", \"HAPPINESS\", \"SADNESS\", \"SURPRISE\", \"FEAR\", \"DISGUST\", \"ANGER\"]\n"," d_IMFDB_label[key] = arr[11]\n"," freq_IMFDB_labels[arr[11]] += 1\n"," if arr[11] == \"NEUTRAL\":\n"," d_IMFDB_va[key] = sample_ellipse((neutral[0], neutral[2]), neutral[1], neutral[3])\n"," elif arr[11] == \"HAPPINESS\":\n"," d_IMFDB_va[key] = sample_ellipse((happy[0], happy[2]), happy[1], happy[3])\n"," elif arr[11] == \"SADNESS\":\n"," d_IMFDB_va[key] = sample_ellipse((sad[0], sad[2]), sad[1], sad[3])\n"," elif arr[11] == \"SURPRISE\":\n"," d_IMFDB_va[key] = sample_ellipse((surprise[0], surprise[2]), surprise[1], surprise[3])\n"," elif arr[11] == \"FEAR\":\n"," d_IMFDB_va[key] = sample_ellipse((fear[0], fear[2]), fear[1], fear[3])\n"," elif arr[11] == \"DISGUST\":\n"," d_IMFDB_va[key] = sample_ellipse((disgust[0], disgust[2]), disgust[1], disgust[3])\n"," elif arr[11] == \"ANGER\":\n"," d_IMFDB_va[key] = sample_ellipse((anger[0], anger[2]), anger[1], anger[3])\n"," except:\n"," continue "],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"IcOYoM3ZuFfG","colab_type":"code","colab":{}},"source":["d_IMFDB_va_discrete = {}\n","for keyy in d_IMFDB_va:\n"," a, b = d_IMFDB_va[keyy]\n"," newa = int(round(a * 10))\n"," newb = int(round(b * 10))\n"," d_IMFDB_va_discrete[keyy] = [newa, newb]"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"986h69MOv-a1","colab_type":"code","colab":{}},"source":["with open(\"/drive/My Drive/AFC_Project_data/IMFDB_data/IMFDB_va.json\", \"r\") as read_file:\n"," d_IMFDB_va_old = json.load(read_file)\n","with open(\"/drive/My Drive/AFC_Project_data/IMFDB_data/IMFDB_labels.json\", \"r\") as read_file:\n"," d_IMFDB_label_old = json.load(read_file)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"04jcDipA0_je","colab_type":"code","colab":{}},"source":["colours = {\"NEUTRAL\": 'black', \"HAPPINESS\": 'orange', \"SADNESS\": 'grey', \"SURPRISE\": 'pink', \"FEAR\": 'blue', \"DISGUST\": 'green', \"ANGER\": 'red'}"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"q85aAaNW1VOG","colab_type":"code","outputId":"c4f310ec-e530-4fee-b8f6-01b89cf2a036","executionInfo":{"status":"ok","timestamp":1589643290289,"user_tz":-330,"elapsed":6713,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":341}},"source":["plt.figure(figsize=(5,5))\n","cnt = 0\n","for k in tqdm(d_IMFDB_label_old):\n"," col = colours[d_IMFDB_label_old[k]]\n"," x, y = d_IMFDB_va_old[k]\n"," plt.scatter(x, y, c=col)\n"," cnt += 1\n"," if cnt == 1000:\n"," break\n","\n","plt.xlim((-1,1))\n","plt.ylim((-1,1))\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"stream","text":[" 3%|▎ | 988/29700 [00:04<02:24, 198.91it/s]\n"],"name":"stderr"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"jNTOl0rm24f2","colab_type":"code","outputId":"bbc395c9-8732-4ed9-e94a-76d9e9fdf720","executionInfo":{"status":"ok","timestamp":1589643319999,"user_tz":-330,"elapsed":6952,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":341}},"source":["cnt = 0\n","plt.figure(figsize=(5,5))\n","for k in tqdm(d_IMFDB_label):\n"," col = colours[d_IMFDB_label[k]]\n"," x, y = d_IMFDB_va[k]\n"," plt.scatter(x, y, c=col)\n"," cnt += 1\n"," if cnt == 1000:\n"," break\n","\n","plt.xlim((-1,1))\n","plt.ylim((-1,1))\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"stream","text":[" 3%|▎ | 990/29700 [00:05<02:25, 197.76it/s]\n"],"name":"stderr"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"lA8unk55IK_2","colab_type":"code","outputId":"b0ee5c34-f356-4b37-c80e-78026299d71d","executionInfo":{"status":"ok","timestamp":1589643699259,"user_tz":-330,"elapsed":295022,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":341}},"source":["cnt = 0\n","plt.figure(figsize=(5,5))\n","for k in tqdm(d_IMFDB_label):\n"," col = colours[d_IMFDB_label[k]]\n"," x, y = d_IMFDB_va_discrete[k]\n"," plt.scatter(x, y, c=col)\n"," cnt += 1\n"," if cnt == 10000:\n"," break\n","\n","plt.xlim((-10,10))\n","plt.ylim((-10,10))\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"stream","text":[" 34%|███▎ | 9999/29700 [04:47<17:26, 18.83it/s]"],"name":"stderr"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"3Wia4O1Tt_T4","colab_type":"code","colab":{}},"source":["# with open('/drive/My Drive/AFC_Project_data/IMFDB_va_discrete.json', 'w') as fp:\n","# json.dump(d_IMFDB_va_discrete, fp)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"KtqkMs3r0kV1","colab_type":"code","colab":{}},"source":["# with open('/drive/My Drive/AFC_Project_data/IMFDB_va.json', 'w') as fp:\n","# json.dump(d_IMFDB_va, fp)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"iBiNtV1C2y3X","colab_type":"code","colab":{}},"source":["# with open('/drive/My Drive/AFC_Project_data/IMFDB_labels.json', 'w') as fp:\n","# json.dump(d_IMFDB_label, fp)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Kf6jrrXn23r4","colab_type":"code","outputId":"6c1f866e-831f-476f-be0f-6af3a90334ef","executionInfo":{"status":"ok","timestamp":1589488185922,"user_tz":-330,"elapsed":1032,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":136}},"source":["freq_IMFDB_labels"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'ANGER': 2811,\n"," 'DISGUST': 3815,\n"," 'FEAR': 621,\n"," 'HAPPINESS': 8454,\n"," 'NEUTRAL': 9617,\n"," 'SADNESS': 3726,\n"," 'SURPRISE': 1748}"]},"metadata":{"tags":[]},"execution_count":396}]},{"cell_type":"code","metadata":{"id":"BNUBsnNb4GIz","colab_type":"code","outputId":"42e2a55c-5978-4319-b5e8-45c77a62f26f","executionInfo":{"status":"ok","timestamp":1589488711407,"user_tz":-330,"elapsed":1213,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":338}},"source":["#IMFDB\n","plt.figure(figsize=(8, 5))\n","plt.bar([\"NEUTRAL\", \"HAPPINESS\", \"SADNESS\", \"SURPRISE\", \"FEAR\", \"DISGUST\", \"ANGER\"], [freq_IMFDB_labels[\"NEUTRAL\"], freq_IMFDB_labels[\"HAPPINESS\"], freq_IMFDB_labels[\"SADNESS\"], freq_IMFDB_labels[\"SURPRISE\"], freq_IMFDB_labels[\"FEAR\"], freq_IMFDB_labels[\"DISGUST\"], freq_IMFDB_labels[\"ANGER\"]])"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<BarContainer object of 7 artists>"]},"metadata":{"tags":[]},"execution_count":407},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 576x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"W5PuE3ck4rsG","colab_type":"code","outputId":"b4e09b1d-1064-49bc-87ce-467a9da2219e","executionInfo":{"status":"ok","timestamp":1589489111750,"user_tz":-330,"elapsed":1163,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":339}},"source":["#Affectnet\n","plt.figure(figsize=(8, 5))\n","plt.bar([\"NEUTRAL\", \"HAPPINESS\", \"SADNESS\", \"SURPRISE\", \"FEAR\", \"DISGUST\", \"ANGER\"], list(counts[0:7][\"valence\"]))"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<BarContainer object of 7 artists>"]},"metadata":{"tags":[]},"execution_count":418},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 576x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"NT5koimb-un1","colab_type":"text"},"source":["# **Transfer images**"]},{"cell_type":"code","metadata":{"id":"-3H5pCFC7w2s","colab_type":"code","colab":{}},"source":["import subprocess\n","import shutil"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"f47l8CDE-rbY","colab_type":"code","colab":{}},"source":["with open(\"/drive/My Drive/AFC_Project_data/IMFDB_data/IMFDB_labels.json\", \"r\") as read_file:\n"," d_IMFDB_label = json.load(read_file)\n","with open(\"/drive/My Drive/AFC_Project_data/IMFDB_data/IMFDB_va.json\", \"r\") as read_file:\n"," d_IMFDB_va = json.load(read_file)\n","assert len(d_IMFDB_va) == len(d_IMFDB_label)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"OOrL1Es_2kue","colab_type":"code","colab":{}},"source":["# for folder in tqdm(os.listdir(\"/drive/My Drive/AFC_Project_data/IMFDB_data/processed_images/\")):\n","# if folder == \"allimages\" or folder == \".DS_Store\":\n","# continue\n","# for image in os.listdir(\"/drive/My Drive/AFC_Project_data/IMFDB_data/processed_images/\" + folder):\n","# pathfrom = \"/drive/My Drive/AFC_Project_data/IMFDB_data/processed_images/\" + folder + \"/\" + image\n","# pathto = \"/drive/My Drive/AFC_Project_data/IMFDB_data/processed_images/allimages/\"\n","# if os.path.isfile(pathto + image):\n","# continue\n","# shutil.copy(pathfrom, pathto)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"wUe6ujer-5-c","colab_type":"code","outputId":"151aba50-2734-4b1b-d6d6-f6cbf02fa631","executionInfo":{"status":"ok","timestamp":1589545110394,"user_tz":-330,"elapsed":3069606,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["for key in tqdm(d_IMFDB_va):\n"," ind = key.find(\"_\")\n"," array = key.split(\"_\")\n"," actor = array[1]\n"," image = key[ind+1:]\n"," pathfrom = \"/drive/My Drive/AFC_Project_data/IMFDB_data/processed_images/allimages/\" + key\n"," pathto = \"/drive/My Drive/AFC_Project_data/IMFDB_data/final_images/train/\"\n"," try:\n"," if os.path.isfile(pathto + key):\n"," continue\n"," shutil.copy(pathfrom, pathto)\n"," except:\n"," continue"],"execution_count":0,"outputs":[{"output_type":"stream","text":["100%|██████████| 29700/29700 [51:09<00:00, 9.68it/s]\n"],"name":"stderr"}]},{"cell_type":"code","metadata":{"id":"xm5QXsHC3LDw","colab_type":"code","outputId":"10e15f55-5989-4292-a669-342cd7d89aaf","executionInfo":{"status":"ok","timestamp":1589545446310,"user_tz":-330,"elapsed":986,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["print(len(os.listdir(\"/drive/My Drive/AFC_Project_data/IMFDB_data/final_images/train/\")))"],"execution_count":0,"outputs":[{"output_type":"stream","text":["29171\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"IOi3jn6gOY1p","colab_type":"text"},"source":["# **Clustering**"]},{"cell_type":"code","metadata":{"id":"utY8B_NVOamZ","colab_type":"code","colab":{}},"source":["# AFEW - integer va, no labels\n","# Affectnet - continuous v, labels\n","# IFMDB - no va, only labels"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"rSQr5VQiQxMS","colab_type":"code","colab":{}},"source":["# AFEW ellipses"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"IywRz9vqRls5","colab_type":"code","colab":{}},"source":["import json\n","import matplotlib\n","import matplotlib.pyplot as plt\n","import numpy as np"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"flvxixx8RozA","colab_type":"code","colab":{}},"source":["with open(\"/drive/My Drive/AFC_Project_data/AFEW_data/AFEW_va.json\", \"r\") as read_file:\n"," jsonfile = json.load(read_file)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"FIrDFTw_R2tU","colab_type":"code","colab":{}},"source":["values = list(jsonfile.values())\n","values = np.array(values)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"oudRLGyASZsM","colab_type":"code","colab":{}},"source":["from sklearn.mixture import GaussianMixture\n","from sklearn.cluster import KMeans"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"eH9ic3QETFbW","colab_type":"code","colab":{}},"source":["model = GaussianMixture(n_components=7, covariance_type='spherical', random_state=0)\n","model2 = KMeans(n_clusters=7, random_state=0)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"hp8AfHXOT8Za","colab_type":"code","outputId":"d99b7a06-f8bd-4cef-e37e-cdb5c1f637fd","executionInfo":{"status":"ok","timestamp":1589630433808,"user_tz":-330,"elapsed":1363,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":68}},"source":["model.fit(values)\n","model2.fit(values)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n"," n_clusters=7, n_init=10, n_jobs=None, precompute_distances='auto',\n"," random_state=0, tol=0.0001, verbose=0)"]},"metadata":{"tags":[]},"execution_count":30}]},{"cell_type":"code","metadata":{"id":"rMJ88RhBdG-5","colab_type":"code","colab":{}},"source":["model3a = GaussianMixture(n_components=7, covariance_type='spherical', random_state=0)\n","model3b = GaussianMixture(n_components=7, covariance_type='spherical', random_state=0)\n","model4a = KMeans(n_clusters=7, random_state=0)\n","model4b = KMeans(n_clusters=7, random_state=0)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"HFyDRxtmdKCQ","colab_type":"code","outputId":"b0a2c607-47e3-423a-dffd-3becfaad9590","executionInfo":{"status":"ok","timestamp":1589632217184,"user_tz":-330,"elapsed":863,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":68}},"source":["model4a.fit(values[:,0].reshape(-1,1))\n","model4b.fit(values[:,1].reshape(-1,1))"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n"," n_clusters=7, n_init=10, n_jobs=None, precompute_distances='auto',\n"," random_state=0, tol=0.0001, verbose=0)"]},"metadata":{"tags":[]},"execution_count":46}]},{"cell_type":"code","metadata":{"id":"0Gvx9kyXT_Lw","colab_type":"code","outputId":"8834655e-f7a9-4a78-d1c4-c841ea01ff43","executionInfo":{"status":"ok","timestamp":1589630840304,"user_tz":-330,"elapsed":1002,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":334}},"source":["colors = ['black', 'black', 'black', 'black', 'black', 'black', 'black']\n","\n","def make_ellipses(gmm, ax):\n"," for n, color in enumerate(colors):\n"," covariances = np.eye(gmm.means_.shape[1]) * gmm.covariances_[n]\n"," v, w = np.linalg.eigh(covariances)\n"," u = w[0] / np.linalg.norm(w[0])\n"," angle = np.arctan2(u[1], u[0])\n"," angle = 180 * angle / np.pi # convert to degrees\n"," v = 2. * np.sqrt(2.) * np.sqrt(v)\n"," ell = matplotlib.patches.Ellipse(gmm.means_[n, :2], v[0], v[1],\n"," 180 + angle, color=color)\n"," ell.set_clip_box(ax.bbox)\n"," ell.set_alpha(0.5)\n"," ax.add_artist(ell)\n"," ax.set_aspect('equal', 'datalim')\n","\n","fig, ax = plt.subplots(figsize=(5, 5))\n","ax.set_xlim((-10, 10))\n","ax.set_ylim((-10, 10))\n","ax.set_xlabel(\"Valence\")\n","ax.set_ylabel(\"Arousal\")\n","make_ellipses(model, ax)\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"Z4S4HGoVU_TA","colab_type":"code","outputId":"238afa78-fc30-4fb1-8e46-67c373d905b7","executionInfo":{"status":"ok","timestamp":1589631045003,"user_tz":-330,"elapsed":864,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":350}},"source":["colors = ['black', 'red', 'blue', 'orange', 'pink', 'grey', 'green']\n","k_means_labels = model2.predict(values)\n","k_means_cluster_centers = model2.cluster_centers_\n","\n","fig, ax = plt.subplots(figsize=(5, 5))\n","for k, col in zip(range(7), colors):\n"," my_members = k_means_labels == k\n"," cluster_center = k_means_cluster_centers[k]\n"," ax.plot(values[my_members, 0], values[my_members, 1], 'w',\n"," markerfacecolor=col, marker='.')\n"," ax.plot(cluster_center[0], cluster_center[1], 'o', markerfacecolor=col,\n"," markeredgecolor='k', markersize=6)\n","ax.set_title('KMeans')\n","ax.set_xlim((-10, 10))\n","ax.set_ylim((-10, 10))\n","ax.set_xlabel(\"Valence\")\n","ax.set_ylabel(\"Arousal\")\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"1m-KhMvRd8kf","colab_type":"code","outputId":"8406e892-f4ae-4d0d-ea56-f0de8164f2d3","executionInfo":{"status":"ok","timestamp":1589632636803,"user_tz":-330,"elapsed":865,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":350}},"source":["colors = ['black', 'red', 'blue', 'orange', 'pink', 'grey', 'green']\n","k_means_labels = model4a.predict(values[:,0].reshape(-1, 1))\n","k_means_cluster_centers = model4a.cluster_centers_\n","\n","fig, ax = plt.subplots(figsize=(5, 5))\n","for k, col in zip(range(7), colors):\n"," my_members = k_means_labels == k\n"," cluster_center = k_means_cluster_centers[k]\n"," ax.plot(values[my_members, 0], [0]*len(values[my_members, 0]), 'w',\n"," markerfacecolor=col, marker='.')\n"," ax.plot(cluster_center[0], 0, 'o', markerfacecolor=col,\n"," markeredgecolor='k', markersize=6)\n","ax.set_title('KMeans VALENCE')\n","ax.set_xlim((-10, 10))\n","ax.set_ylim((-10, 10))\n","ax.set_xlabel(\"Valence\")\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"VMjNYyJIY4m2","colab_type":"code","outputId":"a924fa8b-5bbb-4128-f8e5-249404d1b1da","executionInfo":{"status":"ok","timestamp":1589632674252,"user_tz":-330,"elapsed":2001,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":350}},"source":["colors = ['black', 'red', 'blue', 'orange', 'pink', 'grey', 'green']\n","k_means_labels = model4b.predict(values[:,1].reshape(-1, 1))\n","k_means_cluster_centers = model4b.cluster_centers_\n","\n","fig, ax = plt.subplots(figsize=(5, 5))\n","for k, col in zip(range(7), colors):\n"," my_members = k_means_labels == k\n"," cluster_center = k_means_cluster_centers[k]\n"," ax.plot(values[my_members, 1], [0]*len(values[my_members, 1]), 'w',\n"," markerfacecolor=col, marker='.')\n"," ax.plot(cluster_center[0], 0, 'o', markerfacecolor=col,\n"," markeredgecolor='k', markersize=6)\n","ax.set_title('KMeans AROUSAL')\n","ax.set_xlim((-10, 10))\n","ax.set_ylim((-10, 10))\n","ax.set_xlabel(\"Arousal\")\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"bXAu8OCjevh6","colab_type":"code","colab":{}},"source":["with open(\"/drive/My Drive/AFC_Project_data/IMFDB_data/IMFDB_va.json\", \"r\") as read_file:\n"," jsonfile = json.load(read_file)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Q80-C-3Mgc6v","colab_type":"code","colab":{}},"source":["values = np.array(list(jsonfile.values()))"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"0t80Nyamgilg","colab_type":"code","colab":{}},"source":["values = values * 10"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"LllR3YbUilse","colab_type":"code","colab":{}},"source":["values = values.round()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"2mV3eSHyi7d2","colab_type":"code","outputId":"e1d23dcc-383e-4aa2-a398-5a0f79d8ed79","executionInfo":{"status":"ok","timestamp":1589633657377,"user_tz":-330,"elapsed":893,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":136}},"source":["values"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[ 0., -1.],\n"," [ 1., 1.],\n"," [ 1., -0.],\n"," ...,\n"," [-5., 6.],\n"," [-1., 0.],\n"," [ 7., 1.]])"]},"metadata":{"tags":[]},"execution_count":82}]},{"cell_type":"code","metadata":{"id":"LMmtRUBRi8LH","colab_type":"code","outputId":"7dff23bf-adb8-438f-c52c-1d0dc2d81015","executionInfo":{"status":"ok","timestamp":1589633666970,"user_tz":-330,"elapsed":1086,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":85}},"source":["model.fit(values)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["GaussianMixture(covariance_type='spherical', init_params='kmeans', max_iter=100,\n"," means_init=None, n_components=7, n_init=1, precisions_init=None,\n"," random_state=0, reg_covar=1e-06, tol=0.001, verbose=0,\n"," verbose_interval=10, warm_start=False, weights_init=None)"]},"metadata":{"tags":[]},"execution_count":83}]},{"cell_type":"code","metadata":{"id":"CK7Bx3omjMcw","colab_type":"code","outputId":"0655d076-ac94-47e0-e404-cf28ede4f793","executionInfo":{"status":"ok","timestamp":1589633688208,"user_tz":-330,"elapsed":1001,"user":{"displayName":"SURABHI S NATH","photoUrl":"","userId":"00891642765119642226"}},"colab":{"base_uri":"https://localhost:8080/","height":334}},"source":["colors = ['black', 'black', 'black', 'black', 'black', 'black', 'black']\n","\n","def make_ellipses(gmm, ax):\n"," for n, color in enumerate(colors):\n"," covariances = np.eye(gmm.means_.shape[1]) * gmm.covariances_[n]\n"," v, w = np.linalg.eigh(covariances)\n"," u = w[0] / np.linalg.norm(w[0])\n"," angle = np.arctan2(u[1], u[0])\n"," angle = 180 * angle / np.pi # convert to degrees\n"," v = 2. * np.sqrt(2.) * np.sqrt(v)\n"," ell = matplotlib.patches.Ellipse(gmm.means_[n, :2], v[0], v[1],\n"," 180 + angle, color=color)\n"," ell.set_clip_box(ax.bbox)\n"," ell.set_alpha(0.5)\n"," ax.add_artist(ell)\n"," ax.set_aspect('equal', 'datalim')\n","\n","fig, ax = plt.subplots(figsize=(5, 5))\n","ax.set_xlim((-10, 10))\n","ax.set_ylim((-10, 10))\n","ax.set_xlabel(\"Valence\")\n","ax.set_ylabel(\"Arousal\")\n","make_ellipses(model, ax)\n","plt.show()"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 360x360 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]}]} |