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10 Commits

Author SHA1 Message Date
a70c952840 ignore secret variables for shell 2024-07-24 19:14:02 +02:00
Stefal
d3c69c2027 Update xmp only if needed.
Should fix crash on certain images (sequence jgmvtIOe08rSpzHqNyR2hQ)
2024-03-28 14:19:43 +01:00
Stefal
c7a2f714bd bump version 2024-02-25 10:54:42 +01:00
Stefal
b7efcd8900 bump version 2024-02-25 10:44:58 +01:00
Stefal
b25c2161b8 manage image without camera_type value
should fix #8
2024-02-25 10:43:46 +01:00
Stefal
8d3fff3ebe
Merge pull request #7 from Stefal/creator
Get and write artist, camera make and model
2023-10-26 21:52:00 +02:00
Stefal
98c850ac62 Get and write artist, camera make and model 2023-10-26 21:50:26 +02:00
Stefal
17466a40b2 Bump version 2023-10-23 21:34:15 +02:00
Stefal
f77e6c9443 fix PixtureType set to None with "flat" image 2023-10-23 21:26:15 +02:00
Stefal
59933a7310 fix metadata when camera_type is equirectangular 2023-10-14 13:19:50 +02:00
11 changed files with 560 additions and 14 deletions

3
.gitignore vendored
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@ -2,4 +2,5 @@ data/*
__pycache__/
build/
dist/
*.spec
*.spec
secrets_variables.sh

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@ -2,12 +2,44 @@
Simple code to download images in one or several mapillary sequences. The images will be geotagged and oriented.
## How to use
change the access token with your access token and the sequence ids with the ids of the sequences you want to download
### Setup env variables
copy the secret variables files to setup your maipllary dev token, and your panoramax OpenStreetMap token.
```Shell
cp secrets_variables_examples.sh secrets_variables.sh
editor secrets_variables.sh
```
### Get ALL the sequences of SEVERAL users
To avoid to download everything at once, this is a 2 steps process:
- 1/ We set a list of users for which we want to get the list of sequences to download, and get a bash script for each user.
Change the list of users in the batch file `batch_get_username.sh`.
change the access token with your access token and the sequence ids with the ids of the sequences you want to download
```bash
usernames=( "someone_having_nice_pictures" "someone_else" "oh_look_a_these_usernames" ) # use real accounts, it might work better
```
This will give you a few files that the other scripts will use to generate a script to download all sequences of each user. One user, one bash script generated.
- 2/ We can launch the download of all the sequences of a user for every user specified in the batch script.
```bash
bash script_bash_get_sequences_for_user_SOMEONE.sh
```
**Or all of the generated batch scripts at once.**
```bash
bash script_bash_get_sequences_for_user_*
```
Don't worry if you rerun the same user `script_bash_get_sequences_for_user_someone.sh` twice, the pictures will not be downloaded twice. Every run of mapillary_download.py checks that pictures are not existing before willing to download them.
### Get only one sequence with its ID
To find a sequence id you can use the batch script, or click on a sequence on the Mapillary website, click on a picture, click on advanced data, and copy the sequence ID.
```Shell
python mapillary_download.py "MLY|xxxx|xxxxxxx" --sequence_ids xxxxxxxxxxx xxxxxxxxxxx
```
## Available arguments
### Available arguments
```Shell
python mapillary_download.py -h
usage: mapillary_download.py [-h] [--sequence_ids [SEQUENCE_IDS ...]] [--image_ids [IMAGE_IDS ...]] [--destination DESTINATION]
@ -30,8 +62,18 @@ optional arguments:
--overwrite overwrite existing images
-v, --version show program's version number and exit
```
## Sort pictures depending of a bounding box in their Exif GPS Data in a separate folder
## How to get my access token
This is used to restrict zones for national instances of Panoramax to upload to reuse the sequences of multi national users.
Edit the bounding boxes in `find_france_photos_and_move.py` and change the destination folder.
Running the script will check in the /data folder for every user sequences and move the files being in the bouding boxes in the `destionation` folder path of the script.
For this script to read the exif of pictures, you will need the python package `exifread`
It was tested with pictures taken with the App Open Camera.
## How to get my Mapillary access token
- Go to https://www.mapillary.com/dashboard/developers
- Click on "Registrer Application", enter the needed informations, enable the application to "Read" data, then click on register :
@ -62,4 +104,18 @@ python -m pip install -r requirements.txt
Then you can run `python mapillary_download "MLY|xxxx|xxxxxxx" --sequence_ids xxxxxxxxxxx`
When you're done with the script, simply run `deactivate` to exit the virtual environnement.
On windows you can create a virtual environnement too, or use the prebuilt `mapillary_download.exe` available on the release page.
On windows you can create a virtual environnement too, or use the prebuilt `mapillary_download.exe` available on the release page.
## How to batch the upload to panoramax
After having downloaded the sequences of a user you will find them in the folder `data`.
go in your `data` folder, and to the user subfolder, and assuming you have already sent pictures with geovisio_cli, you can run this command to send all the sequences of the current folder you're in:
```Shell
cd data/some_user
for dir in */; do dir=${dir%?} ; geovisio upload --api-url https://panoramax.openstreetmap.fr "$dir" --token=BLAH_BLAH ; done
```
Have fun!

44
batch_get_username.sh Normal file
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#!/bin/bash
# récupérer les séquences pour un tas d'utilisateurs
# Liste des usernames
# example:
# usernames=( "riri" "fifi" "loulou")
usernames=( "someone_having_nice_pictures" "someone_else" "oh_look_a_these_usernames" )
# check env variables are valid
if [ -f "secrets_variables.sh" ]; then
source "secrets_variables.sh"
if [ "$MAPILLARY_DEV_TOKEN" = "MLY|blahblah_replace_it" ]; then
echo "Erreur : La variable MAPILLARY_DEV_TOKEN doit être modifiée pour que le script fonctionne."
echo "Veuillez remplacer la valeur par défaut \"MLY|blahblah_replace_it\" par votre propre token de développement Mapillary."
exit 1
fi
else
echo "Erreur : Le fichier secrets_variables.sh n'a pas été trouvé."
exit 1
fi
# Boucle sur la liste des usernames
for username in "${usernames[@]}"; do
# Lancer la commande pour chaque username
echo "---------- utilisateur: $username"
if [ ! -f "out_$username.json" ]; then
bash find_user_id.sh $username
fi
# Vérifier si le fichier sequences_$username.txt existe
if [ ! -f "sequences_$username.txt" ]; then
python3 get_sequences_of_username.py --username="$username" --dev_token="$MAPILLARY_DEV_TOKEN" --max_sequence=9999
else
echo "le fichier sequences txt existe pour $username"
fi
# Lancer la commande pour chaque username
if [ ! -f "script_bash_get_sequences_for_user_$username.sh" ]; then
python3 text_array_to_download_script.py --username=$username --dev_token="$MAPILLARY_DEV_TOKEN"
fi
done
echo "---------- finished getting users ------------"

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@ -0,0 +1,193 @@
###
# Filtrage de photos situées en France dans un dossier contenant des séquences de photo géolocalisées
# Rechercher et déplacer automatiquement les photos géolocalisées dans une certaine bounding box et les déplacer dans le dossier de destination.
#
# utilisation:
# python find_france_photos_and_move.py --source_dir /chemin/du/répertoire/source --destination_dir /chemin/du/répertoire/destination
#
###
import argparse
import os
import shutil
import exifread
# Définition du rectangle entourant la France métropolitaine et un peu autour
france_bbox: tuple[float, float, float, float] = (42.0, -5.0, 51.0, 10.0) # (lat_min, lon_min, lat_max, lon_max)
# Définition du rectangle entourant la France métropolitaine et un peu autour
france_bbox: tuple[float, float, float, float] = (42.0, -5.0, 51.0, 10.0) # (lat_min, lon_min, lat_max, lon_max)
# Définition du rectangle entourant la Guadeloupe
guadeloupe_bbox: tuple[float, float, float, float] = (15.8, -61.8, 17.3, -59.3)
# Définition du rectangle entourant la Martinique
martinique_bbox: tuple[float, float, float, float] = (14.3, -61.3, 15.1, -59.3)
# Définition du rectangle entourant la Guyane française
guyane_bbox: tuple[float, float, float, float] = (2.0, -54.5, 6.5, -51.5)
# Définition du rectangle entourant La Réunion
reunion_bbox: tuple[float, float, float, float] = (-21.3, 55.2, -20.8, 55.8)
# Définition du rectangle entourant Mayotte
mayotte_bbox: tuple[float, float, float, float] = (-13.0, 45.0, -12.5, 45.5)
# Définition du rectangle entourant Saint-Pierre-et-Miquelon
spm_bbox: tuple[float, float, float, float] = (46.7, -56.2, 47.1, -55.6)
# Définition du rectangle entourant les îles de Saint-Martin et Saint-Barthélemy
stm_sbh_bbox: tuple[float, float, float, float] = (18.0, -64.5, 18.5, -62.5)
# Définition du rectangle entourant Wallis-et-Futuna
wf_bbox: tuple[float, float, float, float] = (-13.3, -176.2, -13.1, -175.8)
# Définition du rectangle entourant la Nouvelle-Calédonie
nc_bbox: tuple[float, float, float, float] = (-22.5, 165.5, -18.5, 169.5)
# Définition du rectangle entourant la Polynésie française
pf_bbox: tuple[float, float, float, float] = (-27.5, -140.0, -7.5, -134.0)
# Définition du rectangle entourant les Terres australes et antarctiques françaises
taaf_bbox: tuple[float, float, float, float] = (-49.5, 68.5, -37.5, 77.5)
# Chemin du répertoire source
source_dir: str = '/home/cipherbliss/Téléchargements/FIBRELAND/TEST_IN_FR/'
# Chemin du répertoire destination
destination_dir: str = '/home/cipherbliss/Téléchargements/FIBRELAND/IN_FRANCE/'
sequence_folder: str = 'principale_sequence'
count_files_all: int = 0
count_files_moved: int = 0
# Crée le répertoire destination si il n'existe pas
if not os.path.exists(destination_dir):
os.makedirs(destination_dir)
# Fonction pour déplacer un fichier si il est dans le rectangle de la France
def move_file_if_in_france(filepath, sequence_folder):
global count_files_all
global count_files_moved
# Ouvre le fichier image et lit les informations EXIF
latitude, longitude = get_gps_info(filepath)
if latitude and longitude:
print(f'Latitude: {latitude}, Longitude: {longitude}')
if are_lat_lon_in_france(latitude, longitude):
move_file_in_destination(filepath, sequence_folder)
else:
print('Informations GPS non trouvées')
def move_file_in_destination(filepath, sequence_folder):
global count_files_moved
# Déplace le fichier dans le sous-répertoire "photos_in_france"
dest_subdir = os.path.join(destination_dir, sequence_folder,
os.path.basename(os.path.dirname(filepath)))
if not os.path.exists(dest_subdir):
os.makedirs(dest_subdir)
shutil.move(filepath, os.path.join(dest_subdir, filepath))
count_files_moved += 1
print(f"Moved {filepath} to {dest_subdir}")
return True
def are_lat_lon_in_france(gps_lat, gps_lon):
"""
recherche d'une zone du territoire français
France métropolitaine : 551 695 km²
Terres australes et antarctiques françaises : 432 000 km²
Guyane française : 83 534 km²
Nouvelle-Calédonie : 18 575 km²
Polynésie française : 4 167 km²
La Réunion : 2 512 km²
Martinique : 1 128 km²
Guadeloupe : 1 628 km²
Mayotte : 374 km²
Saint-Pierre-et-Miquelon : 242 km²
Wallis-et-Futuna : 142 km²
Saint-Martin et Saint-Barthélemy : 53 km²
:param gps_lat:
:param gps_lon:
:return:
"""
global france_bbox, guyane_bbox, nc_bbox, pf_bbox, reunion_bbox, guadeloupe_bbox, martinique_bbox, mayotte_bbox, spm_bbox, stm_sbh_bbox, wf_bbox, taaf_bbox
print("lat lon :", gps_lat, gps_lon)
if (france_bbox[0] <= gps_lat <= france_bbox[2] and france_bbox[1] <= gps_lon <= france_bbox[3]):
return "France métropolitaine"
elif (taaf_bbox[0] <= gps_lat <= taaf_bbox[2] and taaf_bbox[1] <= gps_lon <= taaf_bbox[3]):
return "Terres australes et antarctiques françaises"
elif (guyane_bbox[0] <= gps_lat <= guyane_bbox[2] and guyane_bbox[1] <= gps_lon <= guyane_bbox[3]):
return "Guyane française"
elif (reunion_bbox[0] <= gps_lat <= reunion_bbox[2] and reunion_bbox[1] <= gps_lon <= reunion_bbox[3]):
return "La Réunion"
elif (wf_bbox[0] <= gps_lat <= wf_bbox[2] and wf_bbox[1] <= gps_lon <= wf_bbox[3]):
return "Wallis-et-Futuna"
elif (stm_sbh_bbox[0] <= gps_lat <= stm_sbh_bbox[2] and stm_sbh_bbox[1] <= gps_lon <= stm_sbh_bbox[3]):
return "Saint-Martin et Saint-Barthélemy"
elif (spm_bbox[0] <= gps_lat <= spm_bbox[2] and spm_bbox[1] <= gps_lon <= spm_bbox[3]):
return "Saint-Pierre-et-Miquelon"
elif (mayotte_bbox[0] <= gps_lat <= mayotte_bbox[2] and mayotte_bbox[1] <= gps_lon <= mayotte_bbox[3]):
return "Mayotte"
elif (martinique_bbox[0] <= gps_lat <= martinique_bbox[2] and martinique_bbox[1] <= gps_lon <= martinique_bbox[3]):
return "Martinique"
elif (guadeloupe_bbox[0] <= gps_lat <= guadeloupe_bbox[2] and guadeloupe_bbox[1] <= gps_lon <= guadeloupe_bbox[3]):
return "Guadeloupe"
elif (pf_bbox[0] <= gps_lat <= pf_bbox[2] and pf_bbox[1] <= gps_lon <= pf_bbox[3]):
return "Polynésie française"
elif (nc_bbox[0] <= gps_lat <= nc_bbox[2] and nc_bbox[1] <= gps_lon <= nc_bbox[3]):
return "Nouvelle-Calédonie"
else:
return None # "Hors de France"
def get_gps_info(filepath):
with open(filepath, 'rb') as f:
tags = exifread.process_file(f)
gps_info = {}
# Recherche les informations GPS dans les informations EXIF
# print("clés exif ", tags.keys())
for tag in tags.keys():
if tag.startswith('GPS'):
gps_info[tag] = tags[tag]
# Extraction des informations de latitude et de longitude
gps_latitude = convert_rational_to_float(gps_info.get('GPS GPSLatitude'))
gps_longitude = convert_rational_to_float(gps_info.get('GPS GPSLongitude'))
if gps_latitude and gps_longitude:
return gps_latitude, gps_longitude
else:
return None, None
def convert_rational_to_float(rational):
return float(rational.values[0].num) / float(rational.values[0].den)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--source_dir', default='/home/cipherbliss/Téléchargements/FIBRELAND/TEST_IN_FR/', help='Chemin du répertoire source')
parser.add_argument('--destination_dir', default='/home/cipherbliss/Téléchargements/FIBRELAND/IN_FRANCE/', help='Chemin du répertoire destination')
parser.add_argument('--sequence_folder', default='principale_sequence', help='Nom du dossier de séquence')
args = parser.parse_args()
# Parcourt tous les fichiers dans le répertoire source et ses sous-répertoires
for root, dirs, files in os.walk(args.source_dir):
for filename in files:
# Vérifie si le fichier est une image
if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp', '.tif')):
filepath = os.path.join(root, filename)
move_file_if_in_france(filepath, sequence_folder)
print('fichiers se situant en france déplacés: ', count_files_moved, ' / ', count_files_all)

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import json
import requests
# lit un json listant les id de photo de chaque séquence et va
# chercher la séquence par API.
import argparse
def parse_args(argv =None):
parser = argparse.ArgumentParser()
parser.add_argument('--username', type=str, help='Username to get the sequences id of')
parser.add_argument('--dev_token', type=str, help='Your mapillary developer token')
parser.add_argument('--max_sequence', type=str, help='Username to get the sequences id of')
global args
args = parser.parse_args(argv)
print(args)
# Initialisation de la liste pour stocker les réponses
responses = []
sequences = []
def get_image_data_from_sequences():
username = args.username
input_file = "out_"+username+".json"
# Chargement du fichier JSON d'entrée
with open(input_file, "r") as file:
input_data = json.load(file)
# Itération sur les noeuds pour collectionner les image_ids
nodelist = input_data["data"]["fetch__User"]["feed"]["nodes"]
print( 'séquences : ', len(nodelist))
image_ids = [node["image_id"] for node in nodelist]
print(image_ids)
dev_token = args.dev_token
# Préparation de la tête d'autorisation pour toutes les futures requêtes
header = {"Access-Token": dev_token}
ii=0
limit_requests = 1000000000
# limit_requests = 5 # pour tester
# Boucle sur chaque image_id pour interroger l'API Mapillary
for image_id in image_ids:
ii+=1
if limit_requests >= ii and image_id:
params = {"id": image_id, "fields": "id,sequence"}
request_url = "https://graph.mapillary.com/" + str(image_id)+"?access_token="+dev_token+"&fields=id,sequence"
# print("requete: "+request_url)
response = requests.get(request_url)
# Analyse de la réponse
parsed_response = {}
if response.ok and response.status_code == 200:
raw_response = response.json()
parsed_response["id"] = raw_response["id"]
parsed_response["sequence"] = raw_response["sequence"]
sequences.append(parsed_response["sequence"])
print("séquence trouvée: "+str(ii)+"/"+args.max_sequence+" : "+raw_response["sequence"])
else:
print(response)
responses.append(parsed_response)
def persist_files():
# Sauvegarde des nouveaux résultats dans le fichier output.json
output_file = "sequences_"+args.username+".json"
with open(output_file, "w") as file:
json.dump(responses, file)
sequence_filename = "sequences_"+args.username+".txt"
with open(sequence_filename, "w") as file:
json.dump(sequences, file)
print('fichier sauvegardé: '+sequence_filename)
parse_args()
get_image_data_from_sequences()
persist_files()
# si la requete donne moins du max de noeuds on prévoit d'en relancer une nouvelle pour avoir la suite

27
get_user.sh Normal file
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#!/bin/bash
# lancement de la récupération des identifiants de séquences
# exemple:
# bash get_user.sh binerf 102718865306727
source secrets_variables.sh
export username=$1
export num_user=$2
echo "télécharger la séquence pour l'utilisateur $username, $num_user"
bash curl_land.sh "$username" "$num_user" > "out_${username}.json"
echo "séquences récupérées:"
num_sequences=$(grep -o -w 'image_id' "out_${username}.json" | wc -l)
#
if (( num_sequences > 0 ))
then
echo "Séquences trouvées: (${num_sequences}). Noice."
python3 get_sequences_of_username.py --username="$username" --max_sequence="$num_sequences" --dev_token="$MAPILLARY_DEV_TOKEN"
python3 text_array_to_download_script.py --username="$username" --dev_token="$MAPILLARY_DEV_TOKEN"
##
else
echo "Aucune séquence trouvée (${num_sequences}) ! Pas d'autres actions à entreprendre."
# cat "out_${username}.json"
fi

38
images_par_username.py Normal file
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@ -0,0 +1,38 @@
import requests, json
import argparse
from urllib.parse import quote
def parse_args(argv =None):
parser = argparse.ArgumentParser()
parser.add_argument('--access_token', type=str, help='Your mapillary access token')
parser.add_argument('--username', type=str, help='Username to get the sequences id of')
parser.add_argument('--pictures', type=str, help='Limit of pictures to fetch')
global args
args = parser.parse_args(argv)
if __name__ == '__main__':
parse_args()
if args.access_token == None:
print('please provide the access_token')
exit()
mly_key = args.access_token
creator_username = args.username
max_img= args.pictures
url = f'https://graph.mapillary.com/images?access_token={mly_key}&creator_username={creator_username}&limit={max_img}&fields=id,sequence'
response = requests.get(url)
if response.status_code == 200:
json = response.json()
# tri des séquences uniques
sequences_ids = [obj['sequence'] for obj in json['data']]
unique_ids = list(set(sequences_ids))
print(unique_ids)
else:
print(response)

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@ -26,7 +26,7 @@ def parse_args(argv =None):
parser.add_argument('--destination', type=str, default='data', help='Path destination for the images')
parser.add_argument('--image_limit', type=int, default=None, help='How many images you want to download')
parser.add_argument('--overwrite', default=False, action='store_true', help='overwrite existing images')
parser.add_argument("-v", "--version", action="version", version="release 1.1")
parser.add_argument("-v", "--version", action="version", version="release 1.6")
args = parser.parse_args(argv)
if args.sequence_ids is None and args.image_ids is None:
parser.error("Please enter at least one sequence id or image id")
@ -42,9 +42,10 @@ def download(url, filepath, metadata=None):
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,sequence'.format(image_id)
req_url = 'https://graph.mapillary.com/{}?fields=creator,thumb_original_url,altitude,make,model,camera_type,captured_at,compass_angle,geometry,exif_orientation,sequence'.format(image_id)
r = session.get(req_url, headers=mly_header)
data = r.json()
print(data)
return data
@ -98,6 +99,9 @@ def write_exif(picture, img_metadata):
# 'captured_at': 1603459736644, 'geometry': {'type': 'Point', 'coordinates': [2.5174596904057, 48.777089857534]}, 'id': '485924785946693'}
with writer.Writer(picture) as image:
image.add_artist(img_metadata)
image.add_camera_make(img_metadata)
image.add_camera_model(img_metadata)
image.add_datetimeoriginal(img_metadata)
image.add_lat_lon(img_metadata)
image.add_altitude(img_metadata)
@ -150,14 +154,20 @@ if __name__ == '__main__':
path = os.path.join(path_destination, date_time_image_filename)
img_metadata = writer.PictureMetadata(
capture_time = datetime.utcfromtimestamp(int(image_data['captured_at'])/1000),
artist = image_data['creator']['username'],
camera_make = image_data['make'],
camera_model = image_data['model'],
longitude = image_data['geometry']['coordinates'][0],
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.get('camera_type') == 'spherical' or image_data.get('camera_type') == 'equirectangular' else PictureType("flat"),
direction = image_data['compass_angle'],
altitude = image_data['altitude'],
)
#print("metadata: ", img_metadata)
#print("path: ", image_data)
image_exists = os.path.exists(path)
if not args.overwrite and image_exists:
print("{} already exists. Skipping ".format(path))
continue
executor.submit(download, url=image_data['thumb_original_url'], filepath=path, metadata=img_metadata)
#download(url=image_data['thumb_original_url'], filepath=path, metadata=img_metadata)

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@ -0,0 +1,5 @@
# scripts common shared variables
# this is to copy as a file named "secrets_variables.sh" which is ignored in this git repo
export MAPILLARY_DEV_TOKEN="MLY|blahblah_replace_it"

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@ -0,0 +1,53 @@
import os
input_file = 'input_file'
import argparse
def parse_args(argv =None):
parser = argparse.ArgumentParser()
parser.add_argument('--dev_token', type=str, help='Your mapillary access token')
parser.add_argument('--username', type=str, help='Username to get the sequences id of')
global args
args = parser.parse_args(argv)
if __name__ == '__main__':
print("Construction du script bash de récupération des images de chaque séquences pour Mapillary_download (https://github.com/Stefal/mapillary_download.git)")
parse_args()
username=args.username
input_file = f"sequences_{username}.txt"
if not args.dev_token:
print(f"Erreur : Le token de développeur de mapillary manque, vérifiez le fichier de variables secretes. Arrêt du script.")
exit(1)
if not os.path.exists(input_file) or not os.path.isfile(input_file):
print(f"Erreur : Le fichier '{input_file}' n'a pas été trouvé. Arrêt du script.")
exit(1)
else:
print(f"Fichier '{input_file}' trouvé.")
output_file = f"script_bash_get_sequences_for_user_{username}.sh"
access_token = "--access_token='"+args.dev_token+"' "
format_string = "/usr/bin/python3 mapillary_download.py {} --sequence_id={}\n"
with open(output_file, "w") as output:
with open(input_file, "r") as input_handle:
content = input_handle.read()
sequences = eval(content)
for seq in sequences:
full_cmd = f"/usr/bin/python3 mapillary_download.py {access_token} --sequence_id='{seq}' --username={username}\n"
output.write(full_cmd)
print(output_file)
print(f"\n Script Bash généré avec succès.")
print(f"Lancez le pour récupérer les photos de l'utilisateur {username}: \n bash {output_file}")

View File

@ -20,6 +20,9 @@ tz_finder = timezonefinder.TimezoneFinder()
@dataclass
class PictureMetadata:
artist: Optional[str] = None
camera_make: Optional[str] = None
camera_model: Optional[str] = None
capture_time: Optional[datetime] = None
longitude: Optional[float] = None
latitude: Optional[float] = None
@ -44,8 +47,13 @@ class Writer():
self.image.close()
def apply(self) -> None:
self.image.modify_exif(self.updated_exif)
self.image.modify_xmp(self.updated_xmp)
try:
if self.updated_exif:
self.image.modify_exif(self.updated_exif)
if self.updated_xmp:
self.image.modify_xmp(self.updated_xmp)
except Exception as e:
print("exception \nexif: {}\nxmp: {}".format(self.updated_exif, self.updated_xmp))
def close(self) -> None:
self.image.close()
@ -146,6 +154,32 @@ class Writer():
self.updated_xmp["Xmp.GPano.ProjectionType"] = metadata.picture_type.value
self.updated_xmp["Xmp.GPano.UsePanoramaViewer"] = True
def add_artist(self, metadata: PictureMetadata) -> None:
"""
Add image author in Exif Artist tag
"""
if metadata.artist is not None:
self.updated_exif["Exif.Image.Artist"] = ascii(metadata.artist).strip("'")
def add_camera_make(self, metadata: PictureMetadata) -> None:
"""
Add camera manufacture in Exif Make tag
"""
if metadata.camera_make is not None:
self.updated_exif["Exif.Image.Make"] = ascii(metadata.camera_make).strip("'")
def add_camera_model(self, metadata: PictureMetadata) -> None:
"""
Add camera model in Exif Model tag
"""
if metadata.camera_model is not None:
self.updated_exif["Exif.Image.Model"] = ascii(metadata.camera_model).strip("'")
def format_offset(self, offset: timedelta) -> str:
"""Format offset for OffsetTimeOriginal. Format is like "+02:00" for paris offset
>>> format_offset(timedelta(hours=5, minutes=45))
@ -156,7 +190,6 @@ class Writer():
offset_hour, remainer = divmod(offset.total_seconds(), 3600)
return f"{'+' if offset_hour >= 0 else '-'}{int(abs(offset_hour)):02}:{int(remainer/60):02}"
def localize(self, naive_dt: datetime, metadata: PictureMetadata) -> datetime:
"""
Localize a datetime in the timezone of the picture
@ -188,7 +221,6 @@ class Writer():
return tz.localize(naive_dt)
def _from_dms(self, val: str) -> float:
"""Convert exif lat/lon represented as degre/minute/second into decimal
>>> _from_dms("1/1 55/1 123020/13567")
@ -206,7 +238,6 @@ class Writer():
return float(deg) + float(min) / 60 + float(sec) / 3600
def _to_dms(self, value: float) -> Tuple[int, int, float]:
"""Return degree/minute/seconds for a decimal
>>> _to_dms(38.889469)
@ -223,7 +254,6 @@ class Writer():
return deg, int(min), round(sec, 8)
def _to_exif_dms(self, value: float) -> str:
"""Return degree/minute/seconds string formated for the exif metadata for a decimal
>>> _to_exif_dms(38.889469)