Robot8A/mapillary_download
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conccurency on get_image_data

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This commit is contained in:
Stefal 2023-09-14 23:27:03 +02:00
parent e9af1c34f2
commit b1fffc1fab
1 changed files with 35 additions and 6 deletions
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41
download.py
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@ -4,6 +4,7 @@ from requests.adapters import Retry
import json
import os
import asyncio
import concurrent.futures
import argparse
from datetime import datetime
import writer
@ -32,12 +33,11 @@ def background(f):
return asyncio.get_event_loop().run_in_executor(None, f, *args, **kwargs)
return wrapped
#TODO add try/except and retry (see https://www.zenrows.com/blog/python-requests-retry#avoid-getting-blocked)
@background
def download(url, fn, metadata=None):
#@background
def download(url, filepath, metadata=None):
r = session.get(url, stream=True, timeout=6)
image = write_exif(r.content, metadata)
with open(str(fn), "wb") as f:
with open(str(filepath), "wb") as f:
f.write(image)
def get_single_image_data(image_id, mly_header):
@ -62,6 +62,31 @@ def get_image_data_from_sequences(sequences_id, mly_header):
image_data['sequence_id'] = sequence_id
yield image_data
def get_image_data_from_sequences__future(sequences_id, mly_header):
for i,sequence_id in enumerate(sequences_id):
url = 'https://graph.mapillary.com/image_ids?sequence_id={}'.format(sequence_id)
r = requests.get(url, headers=header)
data = r.json()
image_ids = data['data']
total_image = len(image_ids)
print("{} images in sequence {} of {} - id : {}".format(total_image, i+1, len(sequences_id), sequence_id))
print('getting images data')
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
future_to_url = {}
for x in range(0, total_image):
image_id = image_ids[x]['id']
future_to_url[executor.submit(get_single_image_data, image_id, mly_header)] = image_id
for future in concurrent.futures.as_completed(future_to_url):
url = future_to_url[future]
image_data = future.result()
image_data['sequence_id'] = sequence_id
#print(image_data)
yield image_data
#image_data = get_single_image_data(image_id, mly_header)
#image_data['sequence_id'] = sequence_id
#yield image_data
def write_exif(picture, img_metadata):
'''
Write exif metadata
@ -95,10 +120,12 @@ if __name__ == '__main__':
if not os.path.exists('data'):
os.makedirs('data')
for i,image_data in enumerate(get_image_data_from_sequences(sequence_ids, header)):
#for i,image_data in enumerate(get_image_data_from_sequences(sequence_ids, header)):
for i,image_data in enumerate(get_image_data_from_sequences__future(sequence_ids, header)):
if args.image_limit is not None and i >= args.image_limit:
break
images_data.append(image_data)
#sys.exit()
print('downloading.. this process will take a while. please wait')
for i,image_data in enumerate(images_data):
@ -116,4 +143,6 @@ if __name__ == '__main__':
direction = image_data['compass_angle'],
altitude = image_data['altitude'],
)
download(image_data['thumb_original_url'],path, img_metadata)
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
executor.submit(download, url=image_data['thumb_original_url'], filepath=path, metadata=img_metadata)
#download(image_data['thumb_original_url'],path, img_metadata)