mapillary_download/download.py

112 lines
4.5 KiB
Python

import requests
import json
import os
import asyncio
import argparse
from datetime import datetime
import writer
from model import PictureType
import sys
def parse_args(argv =None):
parser = argparse.ArgumentParser()
parser.add_argument('--sequence_ids', type=str, nargs='+', help='The mapillary sequence id(s) to download')
parser.add_argument('--access_token', type=str, help='Your mapillary access token')
parser.add_argument('--image_count', type=int, default=None, help='How many images you want to download')
global args
args = parser.parse_args(argv)
def background(f):
def wrapped(*args, **kwargs):
return asyncio.get_event_loop().run_in_executor(None, f, *args, **kwargs)
return wrapped
#@background
def download(url, fn, metadata=None):
r = requests.get(url, stream=True)
image = write_exif(r.content, metadata)
with open(str(fn), "wb") as f:
f.write(image)
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)
r = requests.get(req_url, headers=mly_header)
data = r.json()
#print(data)
return data
def get_image_data_from_sequences(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 {}".format(total_image, sequence_id))
print('getting images data')
for x in range(0, total_image):
image_id = image_ids[x]['id']
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
'''
#{'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',
# 'captured_at': 1603459736644, 'geometry': {'type': 'Point', 'coordinates': [2.5174596904057, 48.777089857534]}, 'id': '485924785946693'}
picture = writer.writePictureMetadata(picture, img_metadata)
picture = writer.add_altitude(picture, img_metadata)
picture = writer.add_direction(picture, img_metadata)
return picture
if __name__ == '__main__':
parse_args()
if args.sequence_ids == None:
print('please provide the sequence_id')
exit()
if args.access_token == None:
print('please provide the access_token')
exit()
sequence_ids= args.sequence_ids
access_token = args.access_token
# create the data folder
if not os.path.exists('data'):
os.makedirs('data')
images_data = []
header = {'Authorization' : 'OAuth {}'.format(access_token)}
# create a folder for each unique sequence ID to group images by sequence
for sequence_id in sequence_ids:
if not os.path.exists('data/{}'.format(sequence_id)):
os.makedirs('data/{}'.format(sequence_id))
for i,image_data in enumerate(get_image_data_from_sequences(sequence_ids, header)):
if args.image_count is not None and i >= args.image_count:
break
images_data.append(image_data)
print('downloading.. this process will take a while. please wait')
for i,image_data in enumerate(images_data):
date_time_image_filename = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000).strftime('%Y-%m-%d_%HH%Mmn%S.%f')
path = 'data/{}/{}.jpg'.format(image_data['sequence_id'], date_time_image_filename)
print(path)
sys.exit()
img_metadata = writer.PictureMetadata(
capture_time = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000),
longitude = image_data['geometry']['coordinates'][0],
latitude = image_data['geometry']['coordinates'][1],
picture_type = PictureType("equirectangular") if image_data['camera_type'] == 'spherical' else None,
direction = image_data['compass_angle'],
altitude = image_data['altitude'],
)
download(image_data['thumb_original_url'],path, img_metadata)