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使用export_onnx.py导出的onnx模型做推理,输出的shape为(1, 4, 80, 80, 19),而原模型输出的为[1, 89760, 19],请问下是什么原因造成的呢,或者有没有什么办法保持两者输出一致呢?
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trained on coco dataset with command
`./darknet detector train cfg/coco.data cfg/yolov4-tiny.cfg ` used same cfg provided in repo.
build darknet from https://github.com/AlexeyAB/darknet
Training …
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I am using yolov4-p5 with an inference size of 640. I get slightly better results if I use --no-autoanchor
I used to use autoanchoring and copy the generated anchors from the terminal for use with…
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Thanks for your brilliant work. Could you provide more training details? In your paper you mentioned that to fully train a model, you first train from scratch then use data augmentation whose details …
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/usr/local/cuda/bin/nvcc -Iexternal -I/opt/conda/lib/python3.6/site-packages/torch/include -I/opt/conda/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.6/site…
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Hello. Thanks for your work.
When testing yolor-ssss-dwt 640 on devices like jetson Xavier NX, an unsatisfactory result was obtained in terms of performance (about 30 frames per second), yolo4-tiny …
MsWik updated
3 years ago
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How is your code licensed? Is it free to use?
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![image](https://user-images.githubusercontent.com/77577681/105308558-6e2c1600-5bc5-11eb-8455-4b980e0537a4.png)
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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,
Thanks for the great work on this. I was just wondering is this work in the repo or will be in?
Maruthi