Vasilis Vryniotis

@oke-aditya @frgfm Sorry I missed your messages. We should add the losses flat on the ops, similar to what we do with every other loss. The `nn` module was too...

The majority of work around the documentation is now complete. We'll leave the issue open to get the input of the community for further improvements.

@mrinath123 Thanks for the feedback. I would recommend starting a new issue to discuss this in more detail, so that we can keep this one focused on the documentation. But...

@ain-soph Thanks for the feedback, it's definitely something we can look into on the near future.

Another proposal that came originally from @NicolasHug was to keep permanently on the docs a reference of which weights mapped to the `pretrained=True`. This can be useful for when one...

@NicolasHug True but is this possible? Aka if you add headings aren't those going to automatically be appeared to the heading levels?

@abhi-glitchhg Push!!! :)

@abhi-glitchhg I am very sorry that none of our team got back to you. Many of us had our annual leaves this period and your PR fell through the cracks....

@zhiqwang Thank you very much for the comprehensive proposal. :) Your implementation at [YOLO5-RT-stack](https://github.com/zhiqwang/yolov5-rt-stack) is indeed of very high quality. Having a modern implementation of YOLO was on our bucket...

@zhiqwang I had the chance to investigate a bit further the references. The biggest concern about YOLOv5 is that there is still no paper to accompany the architecture (see https://github.com/ultralytics/yolov5/issues/1333);...