Submitted by RandomForests92 t3_xus40c in deeplearning
RandomForests92 OP t1_ir52dsl wrote
Reply to comment by encord_team in Use YOLOv5 tensorflow.js models to speed up annotation by RandomForests92
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?
encord_team t1_ir55n46 wrote
I can imagine! Any other side projects that you're working on?
Hotkeys are not a major thing, just a nice productivity enhancer when annotating many images with a more extensive ontology.
Soz, should have been more clear - not to perform both tasks in one frame. More from a UI perspective in the editor, you could add the option to change between them or show both at the same time.
RandomForests92 OP t1_ir5jaag wrote
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.
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