来源:http://code.google.com/p/qt-opencv-multithreaded/wiki/Documentation
The installation procedures detailed below have been tested and verified using:
1. Open Terminal: Press Control-Alt T to open a Terminal instance.
2. Download and install CMake and other required dependencies (Note: qt-opencv-multithreaded requires V4L. Also, Ubuntu 13.04 comes supplied withpkg-config):
$ sudo apt-get update $ sudo apt-get install build-essential cmake libv4l-dev pkg-config
Optional packages:
libgtk2.0-dev The default GUI backend for highgui on OSes other than Windows and MacOSX.
libtiff4-dev For reading and writing TIFF images.
libjasper-dev Library for the coding and manipulation of images (e.g. JPEG-2000 format).
libavformat-dev Library containing demuxers and muxers for audio/video container formats.
libswscale-dev Library containing video image scaling and colorspace/pixelformat conversion routines.
libavcodec-dev Library containing all the FFmpeg audio/video encoders and decoders.
libjpeg-dev For reading and writing JPEG images.
libpng-dev For reading and writing PNG images.
3. Download OpenCV for Unix (choose a folder where you wish to download the file to: e.g. home/Downloads):
$ cd Downloads $ wget http://downloads.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.5/opencv-2.4.5.tar.gz
4. Unpack archive and navigate to the newly created folder containing the OpenCV source:
$ tar -xvf opencv-2.4.5.tar.gz $ cd opencv-2.4.5/
5. Create a new folder and navigate to it (the build files generated by CMake will go into this folder):
$ mkdir release
$ cd release
6. Use CMake to generate the makefile:
Note: Remember to specify the source folder as the last argument while invoking cmake.
$ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
7. Compile and install OpenCV:
$ make
$ sudo make install
8. Point system to generated libraries (change path if different):
$ export LD_LIBRARY_PATH=~/Downloads/opencv-2.4.5/release/lib:$LD_LIBRARY_PATH$ sudo ldconfig
9. OpenCV dependencies can now be linked with simply: `pkg-config opencv --cflags --libs`
Note: Steps 4 and 5 explain how to configure Qt Creator for use with the OpenCV libraries.
1. Download the latest version of Qt 5 for Linux 32-bit from the Qt website:http://qt-project.org/downloads
2. Follow the installation instructions on the download page. Installation is typically started with the following:
$ chmod u+x path_to_downloaded_setup_file $ ./path_to_downloaded_setup_file
3. In Qt Creator, add the following to the .PRO file after creating a project:
LIBS += `pkg-config opencv --cflags --libs`
4. Include the OpenCV header files in your C/C++ source file(s). For example:
#include#include
5. Your Qt-based OpenCV project can now be built and run using Qt Creator!
1. Download the latest stable release of qt-opencv-multithreaded and unpack the downloaded archive:Downloads
OR
Get the "cutting-edge" version from the SVN repository (requires a SVN client): See instructionshere.
2. Open qt-opencv-multithreaded.pro in Qt Creator. You may also be asked to setup the project build targets - modify if required.
3. The application can be now be simply modified, compiled and run within Qt Creator!
IMPORTANT: If you receive compilation/linking errors such as /usr/bin/ld: cannot find -lGL orGL/gl.h: No such file or directory when using Qt 5, do the following:
$ sudo apt-get install libgl1-mesa-dev
Coming soon.
Coming soon.
Please see the OpenCV site for a list of supported cameras.
The default frame rate can be changed by modifying and re-building the driver source (ov534.c).
Note: The following procedure is based on: http://wiki.tekkotsu.org/index.php/Sony_PlayStation_Eye_driver_install_instructions
1. Get the Linux kernel source:
$ sudo -s $ cd /usr/src $ apt-get update $ apt-get install -y kernel-package build-essential linux-source $ tar --bzip2 -xvf linux-source-*.tar.bz2 $ ln -s `find . -type d -name "linux-source-*"` linux
2. Replace the driver source. This version of the driver has been patched to make 640x480 @ 60 fps the default.
$ cd /usr/src/linux/drivers/media/video/gspca $ mv ov534.c ov534.c.old $ wget http://qt-opencv-multithreaded.googlecode.com/files/ov534.c
3. Rebuild the driver modules ov534, gspca_ov534, and gspca-main:
$ cd /usr/src $ cp -p linux-headers-$(uname -r)/Module.symvers linux $ cd /usr/src/linux $ make oldconfig $ make modules_prepare $ make SUBDIRS=drivers/media/video/gspca modules
4. Install the new gspca_ov534 driver, which also requires replacing gspca_main:
$ cd /usr/src/linux $ cp -p drivers/media/video/gspca/gspca_main.ko /lib/modules/$(uname -r)/kernel/drivers/media/video/gspca $ cp -p drivers/media/video/gspca/gspca_ov534.ko /lib/modules/$(uname -r)/kernel/drivers/media/video/gspca $ depmod
5. Remove the old drivers, then load the new ones (gspca_main will load automatically):
modprobe -r gspca_ov534 gspca_main modprobe gspca_ov534
6. Test using qt-opencv-multithreaded.
Tested with ARToolKitPlus 2.3.0
1. Open Terminal: Press Control-Alt T to open a Terminal instance.
2. Download ARToolKitPlus, unpack and install (default system installation path is /usr/):
$ cd Downloads $ wget https://launchpad.net/artoolkitplus/trunk/2.3.0/+download/ARToolKitPlus-2.3.0.tar.bz2 $ tar xvjf ARToolKitPlus-2.3.0.tar.bz2 $ cd ARToolKitPlus-2.3.0 $ mkdir build $ cd build $ cmake .. $ make $ sudo make install
3. Add the following to the Qt .PRO file:
LIBS += -lARToolKitPlus
4. Include the ARToolKitPlus header files in your C/C++ source file(s). For example:
#include#include