Setup Machine Learning Environment/OpenCV/TF On M1 Mac (Apple Silicon)

Setup Xcode

Open Terminal and Execute

sudo xcode-select --install

Installing HomeBrew (Native Apple Silicon M1)

Open Terminal and Write One By One

This Will Install The Latest Brew For M1 Chip

/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

Installing Miniforge and Setting up Conda Environment

Click On the Link Below And Download The (Apple Silicon) Version

https://github.com/conda-forge/miniforge

Open Terminal and Execute The Following

// 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 activate ml
conda install -y python==3.8.6
conda install -y pandas matplotlib scikit-learn jupyterlab

Installing Tensorflow

Click On the Link Below And Download The file

https://github.com/apple/tensorflow_macos/releases

Am Using The latest TF alpha 3 build for M1 As of 4/18/2021.

//if Download Directory is Downloads
cd Downloads
tar xvf tensorflow_macos-0.1alpha3.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-0.1a3-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-0.1a3-cp38-cp38-macosx_11_0_arm64.whl

Installing Additional Packages

pip install matplotlib
conda install -c conda-forge scikit-learn
pip install keras
pip install notebook

Compiling and Installing 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/ml/lib/python3.8/site-packages
ln -s PasteYourCopiedPathHere