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KartaView

KartaView Tools

Description

Tools developed by KartaView to help contributors.

Requirements
  • Python 3.6+
  • Dependencies from requirements.txt file. The dependencies can be installed by running:
pip3 install virtualenv

virtualenv -p python3 .

source bin/activate

pip3 install -r requirements.txt

1. Upload photos to KartaView

Description

This script is used to upload sequences from a local directory. The available formats are:

  • Sequences taken with the OSC mobile apps
  • Exif images
Usage
cd /path_to_scripts/osc_tools

# help
python osc_tools.py -h

# help for upload
python osc_tools.py upload -h

# upload all sequences from ~/OSC_sequences folder
python osc_tools.py upload -p ~/OSC_seqences

2. Generate Exif info

Description

This script generates GPS Exif for each image. It has two options generating exif info from metadata file or generating exif info from a custom geojson file.

cd /path_to_scripts

# help
python osc_tools.py -h

# help for Exif generation
python osc_tools.py generate_exif -h

Option I. From an KV metadata format file

# Exif generation for mobile recorded sequence having metadata files in ~/OSC_sequences/Sequence1 folder
python osc_tools.py generate_exif -exif_source metadata -p ~/OSC_seqences/Sequence1

Option II. From custom geojson file and the images that require the exif data

# Exif generation for custom geojson + imagery 
python osc_tools.py generate_exif -exif_source custom_geojson -p ~/CustomFolderContainingGeoJsonAndImages
Folder structure ~/CustomFolderContainingGeoJsonAndImages
~/CustomFolderContainingGeoJsonAndImages/a_file.geojson
~/CustomFolderContainingGeoJsonAndImages/folder_with_images
~/CustomFolderContainingGeoJsonAndImages/folder_with_images/image1.jpg ~/CustomFolderContainingGeoJsonAndImages/folder_with_images/image2.jpg ~/CustomFolderContainingGeoJsonAndImages/folder_with_images/image3.jpg
Expand to see the custom geojson sample: 
     
{
        "type":"FeatureCollection",
        "features":[
           {
              "type":"Feature",
              "properties":{
                 "order":1.0,
                 "path":"folder_with_images/image1.jpg",
                 "direction":236.0,
                 "Lat":1.910309,
                 "Lon":1.503069,
                 "Timestamp":"2020-01-20T08:00:01Z"
              },
              "geometry":{ 
                 "type":"Point",
                 "coordinates":[ 1.503069408072847, 1.910308570011793 ]
              }
           },
           {
              "type":"Feature",
              "properties":{
                 "order":2.0,
                 "path":"folder_with_images/image2.jpg",
                 "direction":236.0,
                 "Lat":1.910199,
                 "Lon":1.502908,
                 "Timestamp":"2020-01-20T08:01:21Z"
              },
              "geometry":{
                 "type":"Point",
                 "coordinates":[ 1.502907515952158, 1.910198963742701 ]
              }
           },
           {
              "type":"Feature",
              "properties":{
                 "order":3.0,
                 "path":"folder_with_images/image3.jpg",
                 "direction":236.0,
                 "Lat":1.910096,
                 "Lon":1.502764,
                 "Timestamp":"2020-01-20T08:12:10Z"
              },
              "geometry":{
                 "type":"Point",
                 "coordinates":[ 1.50276400212099, 1.910095961756973 ]
              }
           }
        ]
     
}

3. Download Imagery based on user

Description

This script will download all your user uploaded data into a local folder that you provide as input. It will require a login with your OSM account. Output imagery data will be grouped based on sequences.

*Current limitations: It does not work for Google and Facebook accounts.
Usage
python3 osc_tools.py download -p "path to a local folder in which you will have all the data downloaded"

Docker Support

To run the scripts inside a Docker container:

make docker
docker run -Pit osc-up osc_tools.py
docker run -Pit --mount type=bind,source="$(pwd)",target=/opt/osc osc-up /opt/osc/osc_tools.py

The 'images' directory in the repo will be available in the container at /opt/osc/images