点击链接观看安装视频：https://youtu.be/6835OZT0Y5Y
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/releases
Am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
-
☆ END ☆
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转载：https://blog.csdn.net/woshicver/article/details/114994435
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