macOS迅速部署深度学习环境

长腿白菜
长腿白菜
发布于 2024-12-28 / 29 阅读
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macOS迅速部署深度学习环境

因为电脑是macOS,我寻思配置环境一直报错,于是指定好对应版本,直接一件配置。

我的电脑是MacBook Air 2020 M1款,系统是macOS 14.7.2 (23H311),理论上来说只要是Anaconda都能安装上的,免去各位学习人工智能的时候配置了。

必须安装Anconda!!!

1.安装Anconda

2.在终端执行下面的命令

尝试1

这个是分批命令

# 创建新环境并激活
conda create -n aiclass python=3.8 -y
conda activate aiclass

# 使用 conda 安装特定版本的基础依赖
conda install -y numpy==1.24.3
conda install -y typing-extensions==4.5.0
conda install -y requests==2.31.0

# 现在安装 tensorflow-macos
pip install tensorflow-macos==2.13.0
pip install tensorflow-metal

# 安装其他基础包
conda install -y pandas scipy scikit-learn matplotlib jupyter
conda install -y opencv-python pillow nltk networkx flask

# 安装 PyTorch
conda install -y pytorch torchvision torchaudio -c pytorch

# 安装其他必要的包
pip install transformers huggingface-hub gensim jieba
pip install torch-geometric
pip install timm albumentations
pip install py2neo neo4j
pip install tensorboard onnx

# 安装 MMlab 系列
pip install -U openmim
mim install mmcv-full
mim install mmdet
mim install mmpose
mim install mmocr

这个是一件部署命令

conda create -n aiclass python=3.8 -y && conda activate aiclass && conda install -y numpy==1.24.3 typing-extensions==4.5.0 requests==2.31.0 && pip install tensorflow-macos==2.13.0 tensorflow-metal && conda install -y pandas scipy scikit-learn matplotlib jupyter && conda install -y opencv-python pillow nltk networkx flask && conda install -y pytorch torchvision torchaudio -c pytorch && pip install transformers huggingface-hub gensim jieba torch-geometric timm albumentations py2neo neo4j tensorboard onnx && pip install -U openmim && mim install mmcv-full && mim install mmdet && mim install mmpose && mim install mmocr

尝试2

因为有的电脑conda安装不上opencv-python,可以试试这个。

这是合并命令

conda create -n aiclass python=3.8 -y && conda activate aiclass && conda install -y numpy==1.24.3 typing-extensions==4.5.0 requests==2.31.0 && pip install tensorflow-macos==2.13.0 tensorflow-metal && conda install -y pandas scipy scikit-learn matplotlib jupyter && pip install opencv-python && conda install -y pillow nltk networkx flask && conda install -y pytorch torchvision torchaudio -c pytorch && pip install transformers huggingface-hub gensim jieba torch-geometric timm albumentations py2neo neo4j tensorboard onnx && pip install -U openmim && mim install mmcv-full && mim install mmdet && mim install mmpose && mim install mmocr && pip install imutils

这是分批命令

# 创建新环境并激活
conda create -n aiclass python=3.8 -y
conda activate aiclass

# 使用 conda 安装特定版本的基础依赖
conda install -y numpy==1.24.3
conda install -y typing-extensions==4.5.0
conda install -y requests==2.31.0

# 现在安装 tensorflow-macos
pip install tensorflow-macos==2.13.0
pip install tensorflow-metal

# 安装其他基础包
conda install -y pandas scipy scikit-learn matplotlib jupyter
pip install opencv-python
conda install -y pillow nltk networkx flask

# 安装 PyTorch
conda install -y pytorch torchvision torchaudio -c pytorch

# 安装其他必要的包
pip install transformers huggingface-hub gensim jieba
pip install torch-geometric
pip install timm albumentations
pip install py2neo neo4j
pip install tensorboard onnx
pip install imutils

# 安装 MMlab 系列
pip install -U openmim
mim install mmcv-full
mim install mmdet
mim install mmpose
mim install mmocr


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