def query_cld_folder(folder):
files = {}
next_cursor = True
expression = Search().expression(f"folder:{folder}/*").with_field(
"image_analysis").max_results(500)
while next_cursor:
res = expression.execute()
for asset in res['resources']:
rel_path = path.relpath(asset['public_id'], folder)
files[rel_path] = {
"type": asset['type'],
"resource_type": asset['resource_type'],
"public_id": asset['public_id'],
"format": asset['format'],
"etag": asset.get('etag', '0'),
"relative_path": rel_path, # save for inner use
}
# use := when switch to python 3.8
next_cursor = res.get('next_cursor')
expression.next_cursor(next_cursor)
return files
from cloudinary import Search
import urllib.request
cloudName = 'dth0ow8ry'
api_key = 293352914274159
api_secret = 'wLi2XaqNePSx2f9jAFDX39vqTzg'
target_directory = '/Users/Richard/Documents/UCI/HackUCI2020/unknown/'
search = Search()
search.expression('face')
faces = search.execute(cloud_name=cloudName, api_key=api_key, api_secret=api_secret)
for i, item in enumerate(faces['resources']):
urllib.request.urlretrieve(item['url'], f"{target_directory}{item['filename']}{i}.{item['format']}")
print('Faces downloaded')