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PyTorch ,ONNX and TensorRT implementation of YOLOv4

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When I used the coin data set provided by the author, training Loss was large and it took about 700 epochs to converge. When I adopted my own data set,...

**Hi.I want to convert my pth file to weights file, and I run this script** ` model = Darknet(cfgfile='/media/hkuit164/WD20EJRX/yolov4.cfg') model.load_state_dict(torch.load("/media/hkuit164/WD20EJRX/pytorch-YOLOv4/yolov4.pth", map_location=torch.device('cpu'))) model.save_weights(outfile='newYolov4.weights', cutoff=-1)` **But there is an error:** `/home/hkuit164/anaconda3/envs/v4/bin/python3.7 /media/hkuit164/WD20EJRX/pytorch-YOLOv4/tool/darknet2pytorch.py...

How to train it with numlti gpus?

Where are the codes of the APs, APm, and APl you detected in your README? thanks. ![ksnip_20210930-000106](https://user-images.githubusercontent.com/41098760/135306227-a1b91acf-a221-4910-b059-6f58aef7d32a.png)

Hello @Tianxiaomo, I am trying to train my custom dataset using tiny-yolo-v4. I have made changes in the .cfg file and trying to train the network. The following error has...

Hi @Tianxiaomo, thank you for the repository, It has been very useful for my thesis! One question bothers me btw. I started my with no knowledge about yolo or object...

RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [1, 3, 19, 19, 121]], which is output 0 of AsStridedBackward, is at...

@Tianxiaomo Hi, * Did you check accuracy of YOLOv4 by using your implementation, do you get the same 43.5% AP (65.7% AP50) for yolov4.cfg 608x608 on MS COCO testdev? *...

authority

this is the command, and the weight is default "yolov4.weight". ``` python evaluate_on_coco.py -dir COCO_dataset/val2017 -gta COCO_dataset/instances_val2017.json -c cfg/yolov4.cfg -g 1 ``` I made slight changes on _evaluate_on_coco.py_, otherwise it...

I saw https://medium.com/analytics-vidhya/train-a-custom-yolov4-tiny-object-detector-using-google-colab-b58be08c9593 article and with my custom data, it infer very well ! now I'm trying to convert my weight file to pt file so that I can use...