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Implementation of popular deep learning networks with TensorRT network definition API

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## Env - GPU, 2080RTX Ti - docker nvcr.io/nvidia/tensorrt:22.07-py3 - 11.2 - TensorRT [8.4.1](https://docs.nvidia.com/deeplearning/tensorrt/release-notes/index.html). ## About this repo yolov5 ## Your problem > root@23fd790e8b4b:/tensorrtx/yolov5/build# ./yolov5 -s yolov5s.wts yolov5s.engine s >...

Hi, Is it possible to support [Yolov5-classification](https://github.com/ultralytics/yolov5/pull/8956) models? Thanks

## Env - GPU : GTX 1650 - OS ; Ubuntu 22.04 - Cuda version 12.2 - Cudnn version 8.9.7 - TensorRT version 8.6.1 - Yolo v8 segmentation Issue: When...

Hi, everyone. I hope you are very well. I'm facing this problem. ## Env - GPU, e.g. V100, RTX2080, TX2, Xavier NX, Nano, etc. I'm using Docker with this image:...

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## Env - GPU: NVIDIA GeForce GTX 1050 Ti. - OS: Ubuntu 18.04.6 LTS - Cuda version: 12.1 - TensorRT version: 8.6 ## About this repo - which branch/tag/commit are...

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Is there a way to use this code but for yolov8 classification models?

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I have used yolov8 on python and can use Tracking with yolov8. Does this repository support tracking with the yolov8 model?

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请问,tensorrtx/yolov8 是否支持tensorrt7.2.3.4 呢,我在cmake 的时候发现了一个错误, ``` linuxbrew@89f198c31474:/workspace/robot/tensorrtx-master/yolov8/build$ make -j Scanning dependencies of target myplugins [ 5%] Building CUDA object CMakeFiles/myplugins.dir/plugin/yololayer.cu.o /workspace/robot/tensorrtx-master/yolov8/plugin/yololayer.h(57): warning: function "nvinfer1::IPluginV2Ext::configurePlugin(const nvinfer1::Dims *, int32_t, const nvinfer1::Dims *, int32_t,...

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## Env - RTX2070 - Win10 - CUDA 11.6 - TensorRT 8.6.1.6 ## About this repo - yolov5-v7.0 ## Your problem 大佬,我最近在尝试使用INT8量化yolov5模型的时候报错了,错误信息提示“[E] [TRT] 1: Unexpected exception invalid unordered_map key”;但是我切换回FP16或是FP32的推理时,engine文件可以正常生成,使用INT8则不行,麻烦大佬帮忙看下,感谢。 ![1701165111676](https://github.com/wang-xinyu/tensorrtx/assets/48426139/9aea6e41-9d94-48c8-b49a-a35e83231dc8)

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问一下下面这段代码中, 是从wts文件读取权重数据,应该是hex的float值, 为什么存储在 uint32_t中啊? while (count--) { Weights wt{ DataType::kFLOAT, nullptr, 0 }; uint32_t size; // Read name and type of blob std::string name; input >> name >> std::dec >>...

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