mmdetection

There certainly are issues on Linux as well. The Detectron2 library alone has several hundred issues related to incorrect versions of something: https://github.com/facebookresearch/detectron2/issues The mmdetection library (https://github.com/open-mmlab/mmdetection/issues) also has hundreds of version-related issues. Admittedly, that library has not seen any updates for over a year now, but it is sad that things just break and become basically unusable on modern Linux operating systems because NVIDIA can't stop breaking backwards and forwards compatibility for what is essentially just fancy matrix multiplication.

Are you looking for advanced models that you can train on your data pretty much out-of-the-box or simple, easy-to-read models that help you learn the underlying concepts? If it's the first case, what you want to do is find the best GitHub repos for the task(s) you are trying to do. Make sure the GitHub repo has a model zoo and good support and start from there. In CV, if you are trying to do high-end work, the repos to check out are: - https://github.com/facebookresearch/maskrcnn-benchmark (don't be misled by the name, it has support for lots of the high-end modern CV models) - https://github.com/open-mmlab/mmdetection - https://github.com/TuSimple/simpledet (haven't explored this one as much, but it looks very solid) If you want easy-to-read code for non-trivial tasks, I would suggest taking a look at Gluon (GluonCV - https://gluon-cv.mx