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PyTorch ,ONNX and TensorRT implementation of YOLOv4

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Hi, I try to convert yolov4-csp to ONNX by [this command](https://github.com/Tianxiaomo/pytorch-YOLOv4#3-darknet2onnx), but I get following result: ![predictions_onnx](https://user-images.githubusercontent.com/3219633/124295526-3bfde780-db59-11eb-9528-6a6180fc0395.jpg) Then I have realized that the script does not contain any logistic function....

Hello! I recently used your code for model transformation. However, my model uses the Gaussian Yolo layer. I use your Yolo layer code for reference and make some modifications, but...

![image](https://user-images.githubusercontent.com/67646870/135836498-ddbe580d-d759-43cb-a401-b1f3f439d1bf.png) Hi I`m trying to train the model on my own dataset. However, for some reason, the losses for wh and xy do not converge but just oscillate. Also, the...

![image](https://user-images.githubusercontent.com/39451786/147396843-f0a002e6-b128-486c-8fd0-c8bdc0b7730c.png) I found that after 10 epochs, the model almost converged, but the loss_xy did not decrease. I don’t know if the loss will decrease again if I continue to...

我训练了一个模型,然后测试发现什么也检测不出来,于是怀疑是不是训练模型的是不是有问题,结果我用官方的yolov4.pth检测也是什么也检测不出来,这是怎么回事?连data/dog.jpg都检测不出来任何物体

I want to know if I can directly import the downloaded parameters (yolov4.conv.137.pth) to detect the images in the COCO dataset. In addition, what is the difference between yolov4.conv.137.pth and...

你好用了你百度网盘上的yolov4.pth ,运行demo.py 报“convalution havn't activate linear“,并且无输出。

I trained for a single class object detection task, the obj loss stop decrease around 2000+ at after 30 epochs 2020-07-02 02:14:47,659 train.py[line:388] DEBUG: Train step_54720: loss : 2443.021484375,loss xy...

mec@mec-desktop:~/Downloads/pytorch-YOLOv4-master$ python3 demo_pytorch2onnx.py yolov4.conv.137 ./data/dog.jpg 8 80 416 416 Converting to onnx and running demo ... Traceback (most recent call last): File "demo_pytorch2onnx.py", line 96, in main(weight_file, image_path, batch_size, n_classes,...