forked from tykayn/mapillary_download
156 lines
6.8 KiB
Python
156 lines
6.8 KiB
Python
import requests
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from requests.adapters import HTTPAdapter
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from requests.adapters import Retry
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import json
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import os
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import asyncio
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import concurrent.futures
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import argparse
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from datetime import datetime
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import writer
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from model import PictureType
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import sys
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session = requests.Session()
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retries_strategies = Retry(
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total=5,
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backoff_factor=1,
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status_forcelist=[429,502, 503, 504],
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)
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session.mount('https://', HTTPAdapter(max_retries=retries_strategies))
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def parse_args(argv =None):
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parser = argparse.ArgumentParser()
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parser.add_argument('--sequence_ids', type=str, nargs='+', help='The mapillary sequence id(s) to download')
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parser.add_argument('--access_token', type=str, help='Your mapillary access token')
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parser.add_argument('--image_limit', type=int, default=None, help='How many images you want to download')
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parser.add_argument('--overwrite', default=False, action='store_true', help='overwrite existing images')
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global args
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args = parser.parse_args(argv)
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print(args)
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sys.exit()
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def background(f):
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def wrapped(*args, **kwargs):
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return asyncio.get_event_loop().run_in_executor(None, f, *args, **kwargs)
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return wrapped
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#@background
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def download(url, filepath, metadata=None):
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r = session.get(url, stream=True, timeout=6)
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image = write_exif(r.content, metadata)
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with open(str(filepath), "wb") as f:
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f.write(image)
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print("{} downloaded".format(filepath))
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def get_single_image_data(image_id, mly_header):
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req_url = 'https://graph.mapillary.com/{}?fields=thumb_original_url,altitude,camera_type,captured_at,compass_angle,geometry,exif_orientation'.format(image_id)
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r = session.get(req_url, headers=mly_header)
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data = r.json()
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#print(data)
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return data
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def get_image_data_from_sequences(sequences_id, mly_header):
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for i,sequence_id in enumerate(sequences_id):
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url = 'https://graph.mapillary.com/image_ids?sequence_id={}'.format(sequence_id)
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r = requests.get(url, headers=header)
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data = r.json()
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image_ids = data['data']
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total_image = len(image_ids)
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print("{} images in sequence {} of {} - id : {}".format(total_image, i+1, len(sequences_id), sequence_id))
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print('getting images data')
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for x in range(0, total_image):
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image_id = image_ids[x]['id']
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image_data = get_single_image_data(image_id, mly_header)
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image_data['sequence_id'] = sequence_id
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yield image_data
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def get_image_data_from_sequences__future(sequences_id, mly_header):
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for i,sequence_id in enumerate(sequences_id):
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url = 'https://graph.mapillary.com/image_ids?sequence_id={}'.format(sequence_id)
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r = requests.get(url, headers=header)
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data = r.json()
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image_ids = data['data']
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total_image = len(image_ids)
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print("{} images in sequence {} of {} - id : {}".format(total_image, i+1, len(sequences_id), sequence_id))
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print('getting images data')
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with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
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future_to_url = {}
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for x in range(0, total_image):
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image_id = image_ids[x]['id']
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future_to_url[executor.submit(get_single_image_data, image_id, mly_header)] = image_id
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for future in concurrent.futures.as_completed(future_to_url):
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url = future_to_url[future]
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image_data = future.result()
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image_data['sequence_id'] = sequence_id
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#print(image_data)
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yield image_data
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#image_data = get_single_image_data(image_id, mly_header)
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#image_data['sequence_id'] = sequence_id
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#yield image_data
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def write_exif(picture, img_metadata):
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'''
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Write exif metadata
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'''
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#{'thumb_original_url': 'https://scontent-cdg4-2.xx.fbcdn.net/m1/v/t6/An9Zy2SrH9vXJIF01QkBODyUbg7XSKfwL48UwHyvihSwvECGjVbG0vSw9uhxe2-Dq-k2eUcigb83buO6zo-7eVbykfp5aQIe1kgd-MJr66nU_H-o_mwBLZXgVbj5I_5WX-C9c6FxJruHkV962F228O0?ccb=10-5&oh=00_AfDOKD869DxL-4ZNCbVo8Rn29vsc0JyjMAU2ctx4aAFVMQ&oe=65256C25&_nc_sid=201bca',
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# 'captured_at': 1603459736644, 'geometry': {'type': 'Point', 'coordinates': [2.5174596904057, 48.777089857534]}, 'id': '485924785946693'}
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picture = writer.writePictureMetadata(picture, img_metadata)
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picture = writer.add_altitude(picture, img_metadata)
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picture = writer.add_direction(picture, img_metadata)
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return picture
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if __name__ == '__main__':
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parse_args()
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if args.sequence_ids == None:
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print('please provide the sequence_id')
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exit()
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if args.access_token == None:
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print('please provide the access_token')
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exit()
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sequence_ids= args.sequence_ids
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access_token = args.access_token
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images_data = []
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header = {'Authorization' : 'OAuth {}'.format(access_token)}
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# create the data folder
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if not os.path.exists('data'):
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os.makedirs('data')
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#for i,image_data in enumerate(get_image_data_from_sequences(sequence_ids, header)):
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for i,image_data in enumerate(get_image_data_from_sequences__future(sequence_ids, header)):
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if args.image_limit is not None and i >= args.image_limit:
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break
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images_data.append(image_data)
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#sys.exit()
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print('downloading.. this process will take a while. please wait')
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with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
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for i,image_data in enumerate(images_data):
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# create a folder for each unique sequence ID to group images by sequence
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if not os.path.exists('data/{}'.format(image_data['sequence_id'])):
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os.makedirs('data/{}'.format(image_data['sequence_id']))
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date_time_image_filename = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000).strftime('%Y-%m-%d_%HH%Mmn%Ss%f')[:-3]
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path = 'data/{}/{}.jpg'.format(image_data['sequence_id'], date_time_image_filename)
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img_metadata = writer.PictureMetadata(
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capture_time = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000),
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longitude = image_data['geometry']['coordinates'][0],
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latitude = image_data['geometry']['coordinates'][1],
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picture_type = PictureType("equirectangular") if image_data['camera_type'] == 'spherical' else None,
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direction = image_data['compass_angle'],
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altitude = image_data['altitude'],
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)
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image_exists = os.path.exists(path)
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if not args.overwrite and image_exists:
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print("{} already exists. Skipping ".format(path))
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continue
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executor.submit(download, url=image_data['thumb_original_url'], filepath=path, metadata=img_metadata)
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#download(image_data['thumb_original_url'],path, img_metadata)
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