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Download the Large-scale CelebFaces Attributes (CelebA) Dataset from their Google Drive link
#!/bin/bash
#
# Download the Large-scale CelebFaces Attributes (CelebA) Dataset
# from their Google Drive link.
#
# CelebA: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
#
# Google Drive: https://drive.google.com/drive/folders/0B7EVK8r0v71pWEZsZE9oNnFzTm8
python3 get_drive_file.py 0B7EVK8r0v71pZjFTYXZWM3FlRnM celebA.zip
import requests
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:
for chunk in response.iter_content(CHUNK_SIZE):
if chunk: # filter out keep-alive new chunks
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) is not 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 = sys.argv[2]
download_file_from_google_drive(file_id, destination)
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