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I'm compiling this on Windows 10 with CUDA 11.0, cuDNN 8.0.5.39, TensorRT 7.1.3.4 and OpenCV 4.5.3.
I couldn't find if someone else already reported this but I think there are some errors in [Yolov…
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There are heavy/large models like yolov3 and yolov4 and light/small models like yolov3-tiny. These give you higher mAP + low FPS or lower mAP + high FPS.
Why is it that there aren't any models tha…
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@jkjung-avt
Hi, could we work together on the problem of the reduced accuracy? I believe I have similar issues in my implementation and I do not use any onnx conversion whatsoever. I would like to g…
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Traceback (most recent call last):
File "gen_wts.py", line 13, in
model.load_state_dict(torch.load(weights, map_location=device)['model'])
File "/home/sany/.local/lib/python3.7/site-packag…
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在[tensorrt_demos](https://github.com/jkjung-avt/tensorrt_demos)中,作者写了怎样进行custom模型的部署,[TensorRT YOLO For Custom Trained Models](https://jkjung-avt.github.io/trt-yolo-custom-updated/),其中对应的仓库是[yolov4_cr…
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简单对比了几张图,发现darket的检测结果与加速后模型检测结果不一致,tensorRT的检测会丢目标,甚至会丢darknet下可信度为1的目标,可能是什么原因
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There are instructions in the readme about modifications to make for small objects:
> for training for small objects (smaller than 16x16 after the image is resized to 416x416)
> - set layers = 23 …
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I have successfully converted yolo tiny to ONNX. Using the .cfg file [https://github.com/WongKinYiu/ScaledYOLOv4/blob/yolov4-tiny/cfg/yolov4-tiny.cfg](url) and the export.py code here [https://github.…
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Hi @wenh06 I have converted my custom trained yolov4-tiny model into ONNX model using your repo. And then when I am trying to convert ONNX model into tensorrt engine file, I am getting a warning sayin…