# install-opencv-on-friendlycore

**Repository Path**: njlite/install-opencv-on-friendlycore

## Basic Information

- **Project Name**: install-opencv-on-friendlycore
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2019-09-12
- **Last Updated**: 2022-06-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## Installing OpenCV 3.4 on FriendlyCore
The easiest way to install it is to run FriendlyELEC's script.  
Here are the packages and utilities your system will have after you follow the instructions in this tutorial:
* Qt 5.10.0 version of the HighGUI module (Better 2D window interface with zoom, image saving capabilities, etc)
* C++ interface and examples
* C interface and examples
* Python 3.5+ interface and examples

## Currently supported boards 
* RK3399  
NanoPC T4  
NanoPi M4  
NanoPi NEO4  
* S5P6818  
NanoPi Fire3  
NanoPi M3  
NanoPC T3  
NanoPC T3 Plus  
* S5P4418  
NanoPi Fire2A  
NanoPi M2A  
NanoPi S2  
NanoPC T2  
Smart4418  
  
***Note: If you are using the RK3399 development board, please checkout to the “rk3399” branch.***  
  
## Installation 
***Note: FriendlyCore-20180810 required.  
Please download the latest FriendlyCore Image file from the following URL: http://download.friendlyarm.com***  

Run the commands below:
```
git clone https://github.com/friendlyarm/install-opencv-on-friendlycore
cd install-opencv-on-friendlycore
./install-opencv.sh
cp examples/cv-env.sh /usr/bin/
```
if you want to use pkg-config, append the following two lines in the "~/.bashrc" file and save it:
```
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH
```


## Test out the OpenCV3.4 and Python3 install
Run the commands below:
```
cd examples/py/
. cv-env.sh
python ver.py
```
it will activate a virtualenv, if you want to switch projects or otherwise leave your virtualenv, simply run:
```
deactivate 
```

## Build some samples included in OpenCV
### c++ sample: facedetect

![image](https://github.com/friendlyarm/install-opencv-on-friendlycore/raw/master/examples/images/lena2-300x300.png)

```
cd /usr/local/share/OpenCV/samples/cpp
g++ -ggdb facedetect.cpp -o facedetect `pkg-config --cflags --libs /usr/local/lib/pkgconfig/opencv.pc`
. setqt5env
./facedetect --cascade="/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml" --nested-cascade="/usr/local/share/OpenCV/haarcascades/haarcascade_eye.xml" --scale=1.3 /usr/local/share/OpenCV/samples/data/data/lena.jpg
```
### python sample: turing

![image](https://github.com/friendlyarm/install-opencv-on-friendlycore/raw/master/examples/images/python-turing.png)

```
. cv-env.sh
. setqt5env
cd /usr/local/share/OpenCV/samples/python
python turing.py
```

## Face Recognition Using OpenCV and Qt5
***Note: To run this demo you will need a webcam and a display connected.***  
This is an implementation of facial detection in C++/Qt5:
```
git clone https://github.com/friendlyarm/face-recognizer-gui
cd face-recognizer-gui
mkdir build
cd build
qmake-qt5 ../
make
cd ../
. setqt5env
./opencv
```

## Build Qt5 QML example
***Note: To run this demo you will need a webcam and a display connected.***  
Run the commands below:
```
cd examples/qt5/CvQml/
qmake-qt5 .
make
. setqt5env
./CvQml
```