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TensorRT 8 #148
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ylov4 work fine,problem with yolov4-tiny |
Tiny-yolo for TensorRT 8 (TRT8 branch) now do not works. The reason of your error is here: https://github.com/enazoe/yolo-tensorrt/blob/TRT8/modules/yolo.cpp#L1163
This code runs for yolov4-tiny but it is wrong! In TRT8 branch type "yolov4-tiny" was removed. It need to return it. @enazoe what do you think about it? |
@Nuzhny007 @auto-amc sry, some trt api is removed in TRT8 ,so tiny model is not support now . |
@enazoe actually no. I'm merged your master and TRT8 branches and yolov4-tiny works both on TensorRT 7 and TensorRT 8: https://github.com/Smorodov/Multitarget-tracker/tree/master/src/Detector/tensorrt_yolo |
Спасибо большое!Вы делаете очень большую и нужную работуСкачаю и проверюА как насчет yolov4-tiny_contrastive?Вы не обучали ?Если да очень интересно было бы посмотреть результатС уважениемВладимир 23.11.2021, 11:00, "Sergey Nuzhny" ***@***.******@***.*** actually no. I'm merged your master and TRT8 branches and yolov4-tiny works both on TensorRT 7 and TensorRT 8: https://github.com/Smorodov/Multitarget-tracker/tree/master/src/Detector/tensorrt_yoloIf you want then I create a big pull request with all my changes. Or you can download sources from Multitarget-tracker repository and take some changes only for yolov4-tiny.—You are receiving this because you were mentioned.Reply to this email directly, view it on GitHub, or unsubscribe.Triage notifications on the go with GitHub Mobile for iOS or Android.
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Hi,
Earlier, I tried to start my network on version TensorRT 7 and everything worked great when switching to the 8 version branch, the conversion to goes well, but the detection does not work correctly and the next error occurs the following error-
"Assertion `get3DTensorVolume(m_Engine->getBindingDimensions(tensor.bindingIndex)) == tensor.volume && "Tensor volumes dont match between cfg and engine file \n"' failed"
my config: Ubuntu 20.04 , Driver Version: 470.63.01,CUDA Version:release 11.3, V11.3.58 ,yolov4-tiny-3l.cfg from https://github.com/AlexeyAB/darknet
Thank you in advance for your reply.
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