ByteTrack——报错解决ModuleNotFoundError: No module named ‘yolox‘

一、完整报错

​​File "tools/demo_track.py", line 10, in <module>​​​​from yolox.data.data_augment import preproc​​​​ModuleNotFoundError: No module named 'yolox'​​

二、原因分析

尽管工程文件下存在yolox文件夹，但是没有安装yolox库，仍就无法调用。

三、解决办法

3.1 原作者回答

First of, please make sure you decide for a version of CUDA and consistently use that; I am using 11.3 in this.
I fixed this and many other installation and compilation errors, by uninstalling and re-installing the following programs in the exact order

1. Clone the yolox repo and unzip it
2. Install Virtual Studio 2019 Community (https://visualstudio.microsoft.com/downloads/)
3. Download CUDA https://developer.nvidia.com/cuda-11.3.0-download-archive (I just did express installation)
4. Get https://docs.conda.io/en/latest/miniconda.html for your version of python
5. Install pytorch with cuda enabled conda install pytorch torchvision cudatoolkit=11.3 -c pytorch
6. Navigate conda to the download directory (cd yolox_path) of yolox and type in:

• pip install -r requirements.txt
• pip install pycocotools # this should get added to requirements.txt @FateScript
• pip install -v -e . # or python setup.py develop

7. Congratulations you fixed the error, now you’ll be able to run yolox as described in Quick Start > Demo (example: python tools/demo.py video -n yolox-s -c /path/to/your/yolox_s.pth --path /path/to/your/video --conf 0.25 --nms 0.45 --tsize 640 --save_result --device [cpu/gpu] )

A couple notices:

• You can at the time of writing this; not install above CUDA 11.3, because conda does not provide a higher version in sources to compile with pytorch
• You can not install a higher version of Virtual Studio, because of incompability with CUDA (devs did not add support for MSVS22 yet)
• You’re forced to install MSVS; because this repo depends on it, to be able to compile as written in step 6.
• You can not simply uninstall conda, because it removes its CUDA compiled pytorch version and that in return breaks yolox. But I think you could most likely avoid this

In short you kept getting this error, because you couldn’t compile yolox properly or not at all.

3.2 自总结

2. 在requirements.txt文件中，​​加入pycocotools​​



3. 运行​​pip install -r requirements.txt​​
5. 运行​​pip install -v -e .​​ 或者​​python setup.py develop​​命令
   运行后的结果：



6. 成功运行：

参考文章

1. ​​ModuleNotFoundError: No module named ‘yolox’ ?? how can i resolve it ? please!​​