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import os
import urllib.request
import requests
import shutil
inception_url = "https://nvlabs-fi-cdn.nvidia.com/stylegan2-ada-pytorch/pretrained/metrics/inception-2015-12-05.pt"
"""
Download the pretrined inception weights if it does not exists
ARGS:
fpath - output folder path
"""
def check_download_inception(fpath="./"):
inception_path = os.path.join(fpath, "inception-2015-12-05.pt")
if not os.path.exists(inception_path):
# download the file
with urllib.request.urlopen(inception_url) as response, open(
inception_path, "wb"
) as f:
shutil.copyfileobj(response, f)
return inception_path
"""
Download any url if it does not exist
ARGS:
local_folder - output folder path
url - the weburl to download
"""
def check_download_url(local_folder, url):
name = os.path.basename(url)
local_path = os.path.join(local_folder, name)
if not os.path.exists(local_path):
os.makedirs(local_folder, exist_ok=True)
print(f"downloading statistics to {local_path}")
with urllib.request.urlopen(url) as response, open(local_path, "wb") as f:
shutil.copyfileobj(response, f)
return local_path
"""
Download a file from google drive
ARGS:
file_id - id of the google drive file
out_path - output folder path
"""
def download_google_drive(file_id, out_path):
def get_confirm_token(response):
for key, value in response.cookies.items():
if key.startswith("download_warning"):
return value
return None
URL = "https://drive.google.com/uc?export=download"
session = requests.Session()
response = session.get(URL, params={"id": file_id}, stream=True)
token = get_confirm_token(response)
if token:
params = {"id": file_id, "confirm": token}
response = session.get(URL, params=params, stream=True)
CHUNK_SIZE = 32768
with open(out_path, "wb") as f:
for chunk in response.iter_content(CHUNK_SIZE):
if chunk:
f.write(chunk)
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