如何解决ByteTrack运行时出现的ModuleNotFoundError: No module named ‘yolox’错误？
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本文共计751个文字，预计阅读时间需要4分钟。
1. 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，但无法找到名为'yolox'的模块。
一、完整报错
File "tools/demo_track.py", line 10, in <module>from yolox.data.data_augment import preprocModuleNotFoundError: 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
- Clone the yolox repo and unzip it
- Install Virtual Studio 2019 Community (visualstudio.microsoft.com/downloads/)
- Download CUDA developer.nvidia.com/cuda-11.3.0-download-archive (I just did express installation)
- Get docs.conda.io/en/latest/miniconda.html for your version of python
- Install pytorch with cuda enabled conda install pytorch torchvision cudatoolkit=11.3 -c pytorch
- 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
- 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
- 在requirements.txt文件中，
加入pycocotools - 运行
pip install -r requirements.txt - 运行
pip install -v -e . 或者python setup.py develop命令
运行后的结果： - 成功运行：
参考文章
- ModuleNotFoundError: No module named ‘yolox’ ?? how can i resolve it ? please!
本文共计751个文字，预计阅读时间需要4分钟。
1. 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，但无法找到名为'yolox'的模块。
一、完整报错
File "tools/demo_track.py", line 10, in <module>from yolox.data.data_augment import preprocModuleNotFoundError: 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
- Clone the yolox repo and unzip it
- Install Virtual Studio 2019 Community (visualstudio.microsoft.com/downloads/)
- Download CUDA developer.nvidia.com/cuda-11.3.0-download-archive (I just did express installation)
- Get docs.conda.io/en/latest/miniconda.html for your version of python
- Install pytorch with cuda enabled conda install pytorch torchvision cudatoolkit=11.3 -c pytorch
- 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
- 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
- 在requirements.txt文件中，
加入pycocotools - 运行
pip install -r requirements.txt - 运行
pip install -v -e . 或者python setup.py develop命令
运行后的结果： - 成功运行：
参考文章
- ModuleNotFoundError: No module named ‘yolox’ ?? how can i resolve it ? please!