Dhia_Oussayed
Dhia_Oussayed
@AlexeyAB I just used the time difference using time_synchronized() in the detect.py script. ``` t1 = time_synchronized() pred = model(img, augment=opt.augment)[0] t2 = time_synchronized() inference_time = t2 - t1 ```
@AlexeyAB Yes, I used YOLOV7 that you mentioned but YOLOV5m 45.4% AP. I compared with NMS, I used everything as default. I did not specify any float precision. I've just...
@AlexeyAB that's what I am expecting from YOLOv7. I did not use any command I just read what this line from the `detect.py` script prints 
I have ran inference tests with both yolov7 and yolov5 on a Jetson AGX Orin 32Gb, but they both had the same inference time (20ms, in my case). While when...
@AlexeyAB any idea about issue just above ?
@triple-Mu Am using Pytorch 1.8 FP16 no TensorRT nor ONNXruntime
I just sent a pull request to fix this error. The problem is that the 'anchor' parameter is missing from your hyp.yaml file you can add it manually : anchors:3...
@Galafala did you add the 'paste_in' and 'copy_paste' to the train.py ?
@Galafala if you didn't you can just replace this in your `train.py` at line 614: ``` meta = {'lr0': (1, 1e-5, 1e-1), # initial learning rate (SGD=1E-2, Adam=1E-3) 'lrf': (1,...
can you share your `train.py` file with me please