Mercury-ML

Results 6 comments of Mercury-ML

I agree with methier-CPR. Here are some observations I've noticed: - When repositioning colliding objects, I used a while statement with CheckSphere and a breakout counter, so the script tries...

Same issue here using the official ultralytics/yolov5 repo, both export & detect failing. Checked that export fails with coreml, ONNX, torchscript, etc. !python export.py --weights myBadWeights --img 1280 --batch 1...

@glenn-jocher Could you please elaborate? I think I am using current models and code. Just to be sure, I retrained my model on Colab using the current ultralytics/yolov5 repo finishing...

Once again, @glenn-jocher is correct. I'm happy/sorry/embarrassed to say this was user error. Thanks for all help(!), everything is working correctly.

@DavidReveloLuna When did you train the mode, was it recent? My understanding is the model needs to be trained with the **same repository version** from which you are running detect.py...

Still unresolved for me. Unfortunately, I'm running inference using test.py as a stop gap.