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HI i get some problem need help
in README.md
test use .weight and train is use ' ' or .pt
i can't understand should use which one !
first i try to train and i get .pt
and this my…
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Thanks for supporting scaled YOLO. However, the performance results listed in the README don't look good for the new models. In FP16, YOLOv4-CSP-512 seems to perform even worse than YOLOv4-416, which …
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## Description
I have an inference code in TensorRT(with python). I want to run this code in Flask but I get the below error when trying to allocate buffer:
Debugging middleware caught exception i…
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Will you just keep updating your other repository `PyTorch_YOLOv4`? As it is a bit confusing as here we got CSP Models and there we got the CSP models too and you are more active on the other repo.
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ScaledYOLOv4-large can use this repo forward?
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@AlexeyAB hi, two images below are the readme and a table of your paper.
I think the input size 608 and 640 are the same model, right?
![image](https://user-images.githubusercontent.com/43084198/1…
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Hi,
Thank you for your great work. Its very helpful
I have evaluated FastMOT using TrackEval on MOT Challenge in CLEAR metrics for data MOT20 training on Ryzen 5 4600 h + RTX 2060
I attach…
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Hello JK,
I am trying to convert a custom-trained [yolov4-tiny-3layer](https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov4-tiny-3l.cfg) model to tensorRT to do accelerated inference on the J…
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hi,why the whole process takes up so much memory, and is there any way to reduce the memory
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cudnn.deterministic = True and cudnn.benchmark = False, and there's no operation like F.interpolation, I don't know why, thanks ! ( I use python3.7, pytorch 1.7 with cudatoolkit=10.2, nvcc=10.2)