This posting is face recognition.
Download opencv-2.3.1
Extract and Copy OpenCV-2.3.1/data/harrcascades to usr/share/opencv/haarcascades
SAMBA is useful
If use Terminal
permission
Extract and move /usr/share/opencv/haarcascades
Download camcv_vid1.cpp use below link.
Editing cmakelists.txt.
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sudo nano CMakeLists.txt
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changing name camcv.c to camcv_vid1.cpp
Editing camcv_vid1.cpp
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sudo nano camcv_vid1.cpp
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Line 59
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#include "/home/pi/pierre/libfacerec-0.04/include/facerec.hpp"
=>#include "/home/pi/camcv/libfacerec/include/facerec.hpp"
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face recognition API
Line 681
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fn_haar = "/usr/share/opencv/haarcascades/lbpcascade_frontalface.xml";
=>fn_haar = "/usr/share/opencv/lbpcascades/lbpcascade_frontalface.xml";
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opencv library
Line 764
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else if (!raspipreview_create(&state.preview_parameters))
=>else if ( (status = raspipreview_create(&state.preview_parameters)) != MMAL_SUCCESS)
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If difficult edit, download below link.
Download sample face image.
Extract to /home/pi/camcv/others/
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sudo zip 100x100.zip
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csv.txt has face setting information.
Structure is File path and ID
Line 65 in camcv_vid1.cpp
define ID number.
Line 661
define display name
Many image is hige accuracy but low speed.
Cmake and make
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sudo cmake .
sudo make
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If you see below error, Download contrib.hpp
copy to /usr/include/opencv2/contrib/contrib.hpp
cmake and make.
Run camcv (5500 is accuracy)
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./camcv others/csv.txt l 5500
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If include little sample image, low accuracy.
This is low accuracy value
