程学洋/install-opencv-on-friendlycore

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

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

. 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