Nguyen Anh Tuan

> > For keypoint detection: merge [this](https://github.com/WongKinYiu/yolor/releases/download/weights/yolor-pose.zip) into [this](https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose) and modify [this](https://github.com/WongKinYiu/yolov7/blob/main/cfg/training/yolov7-w6.yaml) for training. > > How does one modify the yaml model for training? Is it as simple as...

> From the below line, it seems like [0.0000, 1.0000, 2.0000] describes about occlusion. But they are removed from labels anyway. So I think they don't have any significance in...

> @vshesh You need to change the original line `indices.append((b, a, gj.clamp_(0, gain[3] - 1), gi.clamp_(0, gain[2] - 1))) # image, anchor, grid indices` to this new line to solve...

I try all mvtec, baseline, inception with your config, the val_mssim increased in training but the testing result not good. - test results: {'min_area': 920, 'threshold': 0.11400000000000002, 'TPR': **0.3120567375886525**, 'TNR':...

> Did you encounter the same problems for the other categories of the MVTec Dataset ? yes. got the same problem!

I got the same problem. Downgrade Keras to 2.2.4 still not working. Now we want to know what Keras version in the original environment?

the solution is to install Keras 2.3.1

Yes. Worked! Should try it. using conda!

var items = yoloWrapper.Detect(@"image.jpg"); //items[0].Confidence -> 0.0 (low) -> 1.0 (high) I saw this in the readme. But I can access it by "items[0].Confidence" and set this like a threshold....

yolov5 is not original. now just v4 only!