70 lines
2.5 KiB
Plaintext
70 lines
2.5 KiB
Plaintext
conda create -n aienv2 python=3.10
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激活环境
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conda create -n yolo_trt_10 python=3.10 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ --override-channels
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最后安装tensorrt依赖的whl包，不然gdal 安装不上
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conda activate aienv
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安装本地环境所需的包
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//cuda 版本需要根据本地硬件做适配
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同时安装ultralyticsopencv，可以解决opencv 无法读取rtmp的问题
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conda install -c pytorch -c nvidia -c conda-forge -c defaults pytorch torchvision pytorch-cuda=12.4 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ --override-channels
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ultralytics opencv
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conda install -c conda-forge sanic minio paho-mqtt sanic-cors -y
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conda remove --name aimmseg --all 删除环境
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# 执行清理后
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conda clean --all
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# 20250708 最新最新环境安装命令如下，既要适配sanic的3.9及以上，也要适配mmseg的torch版本
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conda create -n aimmseg python=3.10
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windows
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pip install mmcv==2.0.0 -f https://download.openmmlab.com/mmcv/dist/cu118/torch2.0/index.html -i https://mirrors.aliyun.com/pypi/simple/
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conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia
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试一下torch2.0.1
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conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
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mamba install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
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linux
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pip install mmcv==2.0.0 -f https://download.openmmlab.com/mmcv/dist/cu118/torch2.0/index.html
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conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia
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pip install av -i https://mirrors.aliyun.com/pypi/simple/
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pip install -U openmim -i https://mirrors.aliyun.com/pypi/simple/
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pip install "mmsegmentation>=1.0.0" -i https://mirrors.aliyun.com/pypi/simple/
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pip install ftfy -i https://mirrors.aliyun.com/pypi/simple/
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pip install opencv-python -i https://mirrors.aliyun.com/pypi/simple/
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pip install rasterio einops imageio albumentations opencv-contrib-python -i https://mirrors.aliyun.com/pypi/simple/
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版本问题，需要保证numpy低于 2.0
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python -c "import numpy; print(numpy.__version__)"
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#torch版本低，需要降级numpy
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pip uninstall numpy -y
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pip install "numpy<2.0" # 安装 1.26.4 或更早版本
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pip install numpy==1.24.4
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pip install --no-deps albumentations==2.0.8 -i https://pypi.tuna.tsinghua.edu.cn/simple
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mmsegmentation
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