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data/*
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# mapillary_download
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simple code to download images in a mapillary sequence
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Simple code to download images in a mapillary sequence
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## How to use
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change the access token with your access token and the sequence id with the id of the sequence you want to dowload
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```Shell
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python download.py --access_token "MLY|xxxx|xxxxxxx" --sequence_id xxxxxxxxxxx
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```
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download.py
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download.py
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import requests
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import json
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import os
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import asyncio
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import argparse
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def parse_args(argv =None):
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parser = argparse.ArgumentParser()
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parser.add_argument('--sequence_id', type=str, help='The mapillary sequence id to download')
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parser.add_argument('--access_token', type=str, help='Your mapillary access token')
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global args
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args = parser.parse_args(argv)
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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, fn):
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r = requests.get(url, stream=True)
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with open(str(fn), "wb") as f:
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f.write(r.content)
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if __name__ == '__main__':
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parse_args()
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if args.sequence_id == 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_id= args.sequence_id
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access_token = args.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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# create a folder for each unique sequence ID to group images by sequence
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if not os.path.exists('data/{}'.format(sequence_id)):
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os.makedirs('data/{}'.format(sequence_id))
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# header = {'Authorization' : 'OAuth {}'.format(access_token)}
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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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# img_num = len(image_ids)
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# urls = []
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# print(img_num)
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# print('getting urls')
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# for x in range(0, img_num):
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# image_id = image_ids[x]['id']
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# req_url = 'https://graph.mapillary.com/{}?fields=thumb_2048_url'.format(image_id)
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# r = requests.get(req_url, headers=header)
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# data = r.json()
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# print('getting url {} of {}'.format(x, img_num))
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# urls.append(data['thumb_2048_url'])
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# print('downloading.. this process will take a while. please wait')
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# for i,url in enumerate(urls):
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# path = 'data/{}/{}.jpg'.format(sequence_id, i)
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# download(url,path)
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