如何在M1 Macbook上配置OpenCV等机器学习环境？
磐创AI设置Xcode
打开终端并执行
sudo xcode－select －－install
安装HomeBrew（原生Apple Silicon M1）
打开终端，逐个写入
这将为M1芯片安装最新的Brew／bin／bash －c ＂＄（curl －fsSL https：／／raw．githubusercontent．com／Homebrew／install／HEAD／install．sh）＂
echo “export PATH＝／opt／homebrew／bin：＄PATH” ＞＞ ～／．zshrc
／／Restart The Terminal
brew install gcc
brew install cmake
brew install wget
安装Miniforge，设置Conda环境点击下面的链接下载（Apple Silicon）版本https：／／github．com／conda－forge／miniforge
打开终端并执行以下操作／／ If the Downloaded File Stored in Download
cd Downloads
bash Miniforge3－MacOSX－arm64．sh
／／After Installation Completes Restart Terminal
／／Creating Conda Environment named ml You can use any name in place of ＂ml＂
conda create －－name ml
conda install －y python＝＝3．8．6
conda install －y pandas matplotlib scikit－learn jupyterlab
安装Tensorflow单击下面的链接并下载文件https：／／github．com／apple／tensorflow＿macos／releasesAm在2021年3月3日为M1使用最新的TF alpha 2版本。
／／if Download Directory is Downloads
cd Downloads
tar xvf tensorflow＿macos－0．1alpha2．tar．gz
cd tensorflow＿macos／arm64
／／Dont Forget To Activate Conda Environment
conda activate ml
／／ Install specific pip version and some other base packages
pip install －－force pip＝＝20．2．4 wheel setuptools cached－property six
／／ Install all the packages provided by Apple but TensorFlow
pip install －－upgrade －－no－dependencies －－force numpy－1．18．5－cp38－cp38－macosx＿11＿0＿arm64．whl grpcio－1．33．2－cp38－cp38－macosx＿11＿0＿arm64．whl h5py－2．10．0－cp38－cp38－macosx＿11＿0＿arm64．whl tensorflow＿addons＿macos－0．1a2－cp38－cp38－macosx＿11＿0＿arm64．whl
／／ Install additional packages
pip install absl－py astunparse flatbuffers gast google＿pasta keras＿preprocessing opt＿einsum protobuf tensorflow＿estimator termcolor typing＿extensions wrapt wheel tensorboard typeguard
／／ Install TensorFlow
pip install －－upgrade －－force －－no－dependencies tensorflow＿macos－0．1a2－cp38－cp38－macosx＿11＿0＿arm64．whl
安装额外的包pip install matplotlib
conda install －c conda－forge scikit－learn
pip install keras
pip install notebook
编译和安装OpenCV／／I Suggest To Do all this Inside miniforge3 dir for that
／／ cd miniforge3
wget －O opencv．zip https：／／github．com／opencv／opencv／archive／4．5．0．zip
wget －O opencv＿contrib．zip https：／／github．com／opencv／opencv＿contrib／archive／4．5．0．zip
unzip opencv．zip
unzip opencv＿contrib．zip
cd opencv－4．5．0
mkdir build ＆＆ cd build
／／Here Take Care Of Paths of OPENCV＿EXTRA＿MODULES＿PATH and
／／ PYTHON3＿EXECUTABLE If you＇re Beginner watch the YouTube video
／／And If Inside miniforge3 just place your ＜username＞．
cmake
－DCMAKE＿SYSTEM＿PROCESSOR＝arm64
－DCMAKE＿OSX＿ARCHITECTURES＝arm64
－DWITH＿OPENJPEG＝OFF
－DWITH＿IPP＝OFF
－D CMAKE＿BUILD＿TYPE＝RELEASE
－D CMAKE＿INSTALL＿PREFIX＝／usr／local
－D OPENCV＿EXTRA＿MODULES＿PATH＝／Users／＜username＞／miniforge3／opencv＿contrib－4．5．0／modules
－D PYTHON3＿EXECUTABLE＝／Users／＜username＞／miniforge3／envs／ml／bin／python3
－D BUILD＿opencv＿python2＝OFF
－D BUILD＿opencv＿python3＝ON
－D INSTALL＿PYTHON＿EXAMPLES＝ON
－D INSTALL＿C＿EXAMPLES＝OFF
－D OPENCV＿ENABLE＿NONFREE＝ON
－D BUILD＿EXAMPLES＝ON ．．
make －j8
／／＂8＂ is the number of cores To be used（This Step Takes Time）
sudo make install
／／Linking OpenCV To Conda Environment
mdfind cv2．cpython
／／From the output Copy the Path similar to the below one
＂／usr／local／lib／python3．8／site－packages／cv2／python－3．8／cv2．cpython－38－darwin．so cv2．so＂
cd
cd miniforge3／envs／dev／lib／python3．8／site－packages
ln －s PasteYourCopiedPathHere
