tykayn
/
mapillary_download
mirror of https://forge.chapril.org/tykayn/mapillary_download.git
1
0
Fork 0
Code Issues Releases Activity

futures were not in loop :-/

This commit is contained in:
Stefal 2023-09-14 23:48:20 +02:00
parent b1fffc1fab
commit 47890081e0
1 changed files with 17 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

34
download.py
View File

@ -39,6 +39,7 @@ def download(url, filepath, metadata=None):
image = write_exif(r.content, metadata) image = write_exif(r.content, metadata)
with open(str(filepath), "wb") as f: with open(str(filepath), "wb") as f:
f.write(image) f.write(image)
print("{} downloaded".format(filepath))
def get_single_image_data(image_id, mly_header): def get_single_image_data(image_id, mly_header):
req_url = 'https://graph.mapillary.com/{}?fields=thumb_original_url,altitude,camera_type,captured_at,compass_angle,geometry,exif_orientation'.format(image_id) req_url = 'https://graph.mapillary.com/{}?fields=thumb_original_url,altitude,camera_type,captured_at,compass_angle,geometry,exif_orientation'.format(image_id)
@ -128,21 +129,20 @@ if __name__ == '__main__':
#sys.exit() #sys.exit()
print('downloading.. this process will take a while. please wait') print('downloading.. this process will take a while. please wait')
for i,image_data in enumerate(images_data): with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
# create a folder for each unique sequence ID to group images by sequence for i,image_data in enumerate(images_data):
if not os.path.exists('data/{}'.format(image_data['sequence_id'])): # create a folder for each unique sequence ID to group images by sequence
os.makedirs('data/{}'.format(image_data['sequence_id'])) if not os.path.exists('data/{}'.format(image_data['sequence_id'])):
date_time_image_filename = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000).strftime('%Y-%m-%d_%HH%Mmn%Ss%f')[:-3] os.makedirs('data/{}'.format(image_data['sequence_id']))
path = 'data/{}/{}.jpg'.format(image_data['sequence_id'], date_time_image_filename) date_time_image_filename = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000).strftime('%Y-%m-%d_%HH%Mmn%Ss%f')[:-3]
print(path) path = 'data/{}/{}.jpg'.format(image_data['sequence_id'], date_time_image_filename)
img_metadata = writer.PictureMetadata( img_metadata = writer.PictureMetadata(
capture_time = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000), capture_time = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000),
longitude = image_data['geometry']['coordinates'][0], longitude = image_data['geometry']['coordinates'][0],
latitude = image_data['geometry']['coordinates'][1], latitude = image_data['geometry']['coordinates'][1],
picture_type = PictureType("equirectangular") if image_data['camera_type'] == 'spherical' else None, picture_type = PictureType("equirectangular") if image_data['camera_type'] == 'spherical' else None,
direction = image_data['compass_angle'], direction = image_data['compass_angle'],
altitude = image_data['altitude'], altitude = image_data['altitude'],
) )
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
executor.submit(download, url=image_data['thumb_original_url'], filepath=path, metadata=img_metadata) executor.submit(download, url=image_data['thumb_original_url'], filepath=path, metadata=img_metadata)
#download(image_data['thumb_original_url'],path, img_metadata) #download(image_data['thumb_original_url'],path, img_metadata)