proposal Install locally with pip

[monkeycc]

proposal

Docker images are very troublesome

It is recommended to add Install locally with pip pip install cvat

https://github.com/heartexlabs/label-studio
https://github.com/PaddleCV-SIG/PaddleLabel
https://github.com/open-mmlab/labelbee-client

Now more and more tools appear All can be directly installed by pip

[nmanovic]

@monkeycc , the main problem is that out-of-the-box CVAT provides features of commercial tools (analytics, permissions management, DB, etc). The functionality requires complex installation procedures and docker helps with that. I agree that it will be great to have a simplified version of CVAT that can be installed by pip only. For now, the only solution is to use the Free plan on CVAT.ai. Just register and use CVAT.

Let's keep the ticket open and see if we can find a solution.