This project studio explores Emotion AI with large interactive inflatable sculptures. This repo is for collecting code snippets used for this project.
sudo pip3 install --upgrade opencv-python
sudo apt-get install libatlas-base-dev
sudo apt-get install libhdf5-dev
sudo apt-get install libjasper-dev
sudo apt-get install libqtgui4
sudo pip3 install --upgrade numpy
This is what I did to get it working on my raspberry pi zero w.
sudo apt-get install python3-numpy
sudo apt-get install libblas-dev
sudo apt-get install liblapack-dev
sudo apt-get install libatlas-base-dev
sudo apt-get -y install libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev
sudo apt-get -y install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get -y install libxvidcore-dev libx264-dev
sudo apt-get -y install qt4-dev-tools libatlas-base-dev
sudo apt-get install python3-h5py
sudo apt-get install cmake
sudo apt-get install libboost-all-dev
Also installed Python libraries
sudo pip3 install cmake
sudo pip3 install dlib
sudo pip3 install face_recognition
sudo pip3 install keras
sudo pip3 install tflite
Download the wheel for the custom tensor flow lite build for raspberry pi zero w and install it.
cd
wget https://github.com/prettyflyforabeeguy/tf_lite_on_pi_zero/blob/master/whl/armv6l/tflite_runtime-2.3.1-cp37-cp37m-linux_armv6l.whl?raw=true
mv 'tflite_runtime-2.3.1-cp37-cp37m-linux_armv6l.whl?raw=true' tflite_runtime-2.3.1-cp37-cp37m-linux_armv6l.whl
sudo pip3 install tflite_runtime-2.3.1-cp37-cp37m-linux_armv6l.whl