Public | Automated Build

Last pushed: 3 months ago
Short Description
An automated build for the upload_photos_by_exif script from OpenStreetCam.
Full Description

Upload scripts

Uploader tools for OpenStreetCam

1.Upload photos taken by OSC app

Description:

This script is used to upload photos from a local directory, taken with the iOS/Android OSC apps.
The user will need to login and grant access and after this step the script will upload automatically all photos and metadata files.
Also will show in terminal the status for each sequence.

Requirements:

Python 2.7 + dependencies from the requirements file.
The requirements can be install by running : pip install -r requirements.txt

Usage:

python upload_photos.py -p /Users/example/Desktop/Photos/

python upload_video.py -p /Users/example/Desktop/Videos/

python upload_photos.py -h for help

python upload_video.py -h for help

2.Upload geotagged photos

Description:

This script is used to upload photos from a local directory.
The user will need to login and grant access and after this step the script will upload automatically all photos.
Also will show in terminal the status for each that directory.

Requirements:

Python 3 + dependencies from the requirements file.
The requirements can be install by running :pip3 install -r requirements.txt

Installing requirements on Debian/Ubuntu in a virtualenv

cd upload_photos_by_exif
apt-get install build-essential libjpeg-dev zlib1g-dev python3-pip virtualenv libpython3-dev
virtualenv -p python3 .
source bin/activate
pip install -r requirements.txt

Usage:

python upload_photos_by_exif.py -p /Users/example/Desktop/Photos/AllPhotos/

python upload_photos_by_exif.py -h for help.

Usage for uploading multiple sequences at once:

# List directories to be uploaded as sequences:

find /home/bozo/mypics -mindepth 1 -type d

# should return
#/home/bozo/mypics/a
#/home/bozo/mypics/b
#/home/bozo/mypics/c

# Upload the sequences:

find /home/bozo/mypics -mindepth 1 -type d -print0 | xargs -L 1 --null ./upload_photos_by_exif.py -p

# -print0 / --null allows to read filenames with spaces, etc. in them

If you have installed the requirements into a virtualenv, then run

source <path to virtualenv>/bin/activate

before executing the above commands.

Docker

If you have Docker, you can use these scripts without installing Python nor its requirements:

docker run -it --rm -v /where/your/images/are:/data openstreetcam/upload_photos_by_exif
docker run -it --rm -v /where/your/videos/are:/data openstreetcam/upload_osv_videos
docker run -it --rm -v /where/your/photos/are:/data openstreetcam/upload_osv_photos
Docker Pull Command
Owner
openstreetcam
Source Repository

Comments (0)