Hi u/encord_team 👋! Thank you. I am building it as a side project since 2019. And watching it grow gives me tons of pleasure.
We have some hotkeys mechanism, but it was really purely designed - certainly wasn't my best engineering achievement. I will have to rebuild it in the future.
Detection and classification at the same time? What would be the real-life scenario when you would need both?
Hi u/DDDqp! YOLOv7 is for sure on my list. Problem is that, as it is right now YOLOv7 does not offer export to tensorflow.js. I actually created the issue by asking if they plan to add that export: https://github.com/WongKinYiu/yolov7/issues/885 No response yet. But I think it is more than possible. I can even work on that export for them. If they would have exported to tfjs, than I most certainly can work on the NPM package.
Meta’s LLaMa weights leaked on torrent... and the best thing about it is someone put up a PR to replace the google form in the repo with it 😂
RandomForests92 OP t1_ir5jaag wrote
Reply to comment by encord_team in Use YOLOv5 tensorflow.js models to speed up annotation by RandomForests92
I really understand the need for hotkeys. I simply underestimated the complexity. Doing that right turned out to be quite complicated.
makesense.ia is certainly the largest one. I just recently started https://github.com/SkalskiP/yolov5js with the aim to make it much easier for frontend developers without computer vision background to use object detection in their projects. Apart from that, I have https://github.com/SkalskiP/ILearnDeepLearning.py which is a repository containing examples related to my blog posts on Medium https://medium.com/@piotr.skalski92.