Arquivos
TrainYourOwnYOLO-do-wellton/Data/Model_Weights/Download_Weights.py
T
AntonMu b205bc0cde feat: Add support for Weights and Biases
Use www.wandb.ai to track your experiments online and pick the best hyperparameters.
2020-10-30 16:16:54 -07:00

59 linhas
1.8 KiB
Python

# Modified from https://stackoverflow.com/questions/25010369/wget-curl-large-file-from-google-drive
# To download houses weights run
# python Download_Weights.py 1aPCwYXFAOmklmNMLMh81Yduw5UrbHqkN Houses/trained_weights_final.h5
# To download openeings weights run
# python Download_Weights.py 1FbvHzQWCjucXPbTbI4S1MnBLkAi58Mxv Openings/trained_weights_final.h5
import requests
import os
import progressbar
def download_file_from_google_drive(id, destination):
def get_confirm_token(response):
for key, value in response.cookies.items():
if key.startswith("download_warning"):
return value
return None
def save_response_content(response, destination):
CHUNK_SIZE = 32768
with open(destination, "wb") as f:
bar = progressbar.ProgressBar(max_value=progressbar.UnknownLength)
i = 0
for chunk in response.iter_content(CHUNK_SIZE):
if chunk: # filter out keep-alive new chunks
bar.update(i)
i += 1
f.write(chunk)
URL = "https://docs.google.com/uc?export=download"
session = requests.Session()
response = session.get(URL, params={"id": id}, stream=True)
token = get_confirm_token(response)
if token:
params = {"id": id, "confirm": token}
response = session.get(URL, params=params, stream=True)
save_response_content(response, destination)
if __name__ == "__main__":
import sys
if len(sys.argv) != 3:
print("Usage: python google_drive.py drive_file_id destination_file_path")
else:
# TAKE ID FROM SHAREABLE LINK
file_id = sys.argv[1]
# DESTINATION FILE ON YOUR DISK
destination = os.path.join(os.getcwd(), sys.argv[2])
download_file_from_google_drive(file_id, destination)