Notes

# Installation of OpenCV, TensorFlow and Keras on RaspberryPi

### Hardware Requirements:
* RaspberryPi 2/3 B ( In my case i have [RPi3 V1.2](https://fccid.io/2ABCB-RPI32) )
* Micro SD card (16GB or greater) and Card Reader
* USB Charger or a powerbank to power the RPI
* Any keyboard
* HDMI cable and Monitor (to set up VNC)

### Operating system installation:
* [Download Raspbian Stretch](https://www.raspberrypi.org/downloads/raspbian/) image
* [Download Etcher](https://www.balena.io/etcher/) and flash the image on SD-Card

### After installation

* Connect to wifi
* [Check your OS version](https://www.meccanismocomplesso.org/en/how-to-raspberry-checking-raspbian-version-update-upgrade/) to make sure Raspbian Stretch was installed
* [Download VNC Viewer](https://www.realvnc.com/en/connect/download/viewer/) to access RPI headless over wifi/ethernet and follow [those instructions](https://www.realvnc.com/en/connect/docs/raspberry-pi.html) to connect

### Installation of TensorFlow with python3.5
* Get the pre-built wheel file of tensorflow and install it with pip3
* `wget https://github.com/lhelontra/tensorflow-onarm/releases/download/v1.8.0/tensorflow-1.8.0-cp35-
none-linux_armv7l.whl`
* `sudo pip3 install tensorflow-1.8.0-cp35-nonelinux_armv7l.whl`
* Check the if the installation was successful
* `Import tensorflow as tf`
* `Print(tf.__version__)`

### Installation of Keras with Python 3.5

```
sudo apt-get install python3-numpy
sudo apt-get install libblas-dev
sudo apt-get install liblapack-dev
sudo apt-get install python3-dev
sudo apt-get install libatlas-base-dev
sudo apt-get install gfortran
sudo apt-get install python3-setuptools
sudo apt-get install python3-scipy
sudo apt-get update
sudo apt-get install python3-h5py
sudo pip3 install keras
```

### Installation of OpenCV
```
sudo apt-get update && sudo apt-get upgrade
sudo apt-get install build-essential cmake pkg-config
sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install libxvidcore-dev libx264-dev
sudo apt-get install libgtk2.0-dev libgtk-3-dev
sudo apt-get install libatlas-base-dev gfortran
sudo apt-get install python2.7-dev python3-dev
cd ~
wget -O opencv.zip https://github.com/Itseez/opencv/archive/3.3.0.zip
unzip opencv.zip
wget -O opencv_contrib.zip https://github.com/Itseez/opencv_contrib/archive/3.3.0.zip
unzip opencv_contrib.zip
wget https://bootstrap.pypa.io/get-pip.py
sudo python get-pip.py
sudo python3 get-pip.py
pip install numpy
cd ~/opencv-3.3.0/
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE
-D CMAKE_INSTALL_PREFIX=/usr/local
-D INSTALL_PYTHON_EXAMPLES=ON
-D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.3.0/modules
-D BUILD_EXAMPLES=ON ..
```
Open your `/etc/dphys-swapfile` and then edit the CONF_SWAPSIZE variable:
```sh
sudo nano /etc/dphys-swapfile
```
```
CONF_SWAPSIZE=1024
```
Restart service
```sh
sudo /etc/init.d/dphys-swapfile stop
sudo /etc/init.d/dphys-swapfile start
make -j4
sudo make install
sudo ldconfig
```
**Testing OpenCV install**
```python
import cv2
print( cv2.__version__ )
```
Remove download files and reset swap size
```sh
rm -rf opencv-3.3.0 opencv_contrib-3.3.0
```

Open your `/etc/dphys-swapfile` and then change the swap_size back:
```
sudo nano /etc/dphys-swapfile
```
```
CONF_SWAPSIZE=100
```
# END