futures were not in loop :-/
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parent
b1fffc1fab
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47890081e0
34
download.py
34
download.py
@ -39,6 +39,7 @@ def download(url, filepath, metadata=None):
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image = write_exif(r.content, metadata)
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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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with open(str(filepath), "wb") as f:
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f.write(image)
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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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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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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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@ -128,21 +129,20 @@ if __name__ == '__main__':
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#sys.exit()
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#sys.exit()
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print('downloading.. this process will take a while. please wait')
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print('downloading.. this process will take a while. please wait')
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for i,image_data in enumerate(images_data):
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with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
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# create a folder for each unique sequence ID to group images by sequence
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for i,image_data in enumerate(images_data):
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if not os.path.exists('data/{}'.format(image_data['sequence_id'])):
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# create a folder for each unique sequence ID to group images by sequence
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os.makedirs('data/{}'.format(image_data['sequence_id']))
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if not os.path.exists('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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os.makedirs('data/{}'.format(image_data['sequence_id']))
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path = 'data/{}/{}.jpg'.format(image_data['sequence_id'], date_time_image_filename)
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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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print(path)
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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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img_metadata = writer.PictureMetadata(
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capture_time = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000),
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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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longitude = image_data['geometry']['coordinates'][0],
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latitude = image_data['geometry']['coordinates'][1],
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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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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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direction = image_data['compass_angle'],
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altitude = image_data['altitude'],
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altitude = image_data['altitude'],
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)
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)
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with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
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executor.submit(download, url=image_data['thumb_original_url'], filepath=path, metadata=img_metadata)
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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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#download(image_data['thumb_original_url'],path, img_metadata)
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