VisionScore/yolov5/utils/google_utils.py
2021-01-04 16:43:22 +01:00

123 lines
4.9 KiB
Python

# Google utils: https://cloud.google.com/storage/docs/reference/libraries
import os
import platform
import subprocess
import time
from pathlib import Path
import torch
def gsutil_getsize(url=''):
# gs://bucket/file size https://cloud.google.com/storage/docs/gsutil/commands/du
s = subprocess.check_output('gsutil du %s' % url, shell=True).decode('utf-8')
return eval(s.split(' ')[0]) if len(s) else 0 # bytes
def attempt_download(weights):
# Attempt to download pretrained weights if not found locally
weights = str(weights).strip().replace("'", '')
file = Path(weights).name.lower()
msg = weights + ' missing, try downloading from https://github.com/ultralytics/yolov5/releases/'
models = ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt'] # available models
redundant = False # offer second download option
if file in models and not os.path.isfile(weights):
# Google Drive
# d = {'yolov5s.pt': '1R5T6rIyy3lLwgFXNms8whc-387H0tMQO',
# 'yolov5m.pt': '1vobuEExpWQVpXExsJ2w-Mbf3HJjWkQJr',
# 'yolov5l.pt': '1hrlqD1Wdei7UT4OgT785BEk1JwnSvNEV',
# 'yolov5x.pt': '1mM8aZJlWTxOg7BZJvNUMrTnA2AbeCVzS'}
# r = gdrive_download(id=d[file], name=weights) if file in d else 1
# if r == 0 and os.path.exists(weights) and os.path.getsize(weights) > 1E6: # check
# return
try: # GitHub
url = 'https://github.com/ultralytics/yolov5/releases/download/v3.1/' + file
print('Downloading %s to %s...' % (url, weights))
torch.hub.download_url_to_file(url, weights)
assert os.path.exists(weights) and os.path.getsize(weights) > 1E6 # check
except Exception as e: # GCP
print('Download error: %s' % e)
assert redundant, 'No secondary mirror'
url = 'https://storage.googleapis.com/ultralytics/yolov5/ckpt/' + file
print('Downloading %s to %s...' % (url, weights))
r = os.system('curl -L %s -o %s' % (url, weights)) # torch.hub.download_url_to_file(url, weights)
finally:
if not (os.path.exists(weights) and os.path.getsize(weights) > 1E6): # check
os.remove(weights) if os.path.exists(weights) else None # remove partial downloads
print('ERROR: Download failure: %s' % msg)
print('')
return
def gdrive_download(id='1uH2BylpFxHKEGXKL6wJJlsgMU2YEjxuc', name='tmp.zip'):
# Downloads a file from Google Drive. from utils.google_utils import *; gdrive_download()
t = time.time()
print('Downloading https://drive.google.com/uc?export=download&id=%s as %s... ' % (id, name), end='')
os.remove(name) if os.path.exists(name) else None # remove existing
os.remove('cookie') if os.path.exists('cookie') else None
# Attempt file download
out = "NUL" if platform.system() == "Windows" else "/dev/null"
os.system('curl -c ./cookie -s -L "drive.google.com/uc?export=download&id=%s" > %s ' % (id, out))
if os.path.exists('cookie'): # large file
s = 'curl -Lb ./cookie "drive.google.com/uc?export=download&confirm=%s&id=%s" -o %s' % (get_token(), id, name)
else: # small file
s = 'curl -s -L -o %s "drive.google.com/uc?export=download&id=%s"' % (name, id)
r = os.system(s) # execute, capture return
os.remove('cookie') if os.path.exists('cookie') else None
# Error check
if r != 0:
os.remove(name) if os.path.exists(name) else None # remove partial
print('Download error ') # raise Exception('Download error')
return r
# Unzip if archive
if name.endswith('.zip'):
print('unzipping... ', end='')
os.system('unzip -q %s' % name) # unzip
os.remove(name) # remove zip to free space
print('Done (%.1fs)' % (time.time() - t))
return r
def get_token(cookie="./cookie"):
with open(cookie) as f:
for line in f:
if "download" in line:
return line.split()[-1]
return ""
# def upload_blob(bucket_name, source_file_name, destination_blob_name):
# # Uploads a file to a bucket
# # https://cloud.google.com/storage/docs/uploading-objects#storage-upload-object-python
#
# storage_client = storage.Client()
# bucket = storage_client.get_bucket(bucket_name)
# blob = bucket.blob(destination_blob_name)
#
# blob.upload_from_filename(source_file_name)
#
# print('File {} uploaded to {}.'.format(
# source_file_name,
# destination_blob_name))
#
#
# def download_blob(bucket_name, source_blob_name, destination_file_name):
# # Uploads a blob from a bucket
# storage_client = storage.Client()
# bucket = storage_client.get_bucket(bucket_name)
# blob = bucket.blob(source_blob_name)
#
# blob.download_to_filename(destination_file_name)
#
# print('Blob {} downloaded to {}.'.format(
# source_blob_name,
# destination_file_name))