Template for dataset ninja repos

How to use

Fill all fields in settings.py in the section Before uploading to instance.
Implement the convert_and_upload_supervisely_project() function in convert.py.
Run main.py to upload the dataset to the Supervisely instance.
Check the result in the web interface, select an image for preview and check if annotations are having correct colors.
Fill all required fields in settings.py in the section After uploading to instance.
If needed fill in optional fields in settings.py in the section After uploading to instance.
Run main.py to change the custom_data of the project and build the required files in the repository.
Fill necessary fields in options.py to configure visualizations.
Commit and push changes to the repository.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.vscode		.vscode
src		src
.flake8		.flake8
.gitignore		.gitignore
README.md		README.md
create_venv.sh		create_venv.sh
dninja_footer.png		dninja_footer.png
local.env		local.env
logo.png		logo.png
requirements.txt		requirements.txt
side_logo_overlay.png		side_logo_overlay.png