In case of regression trees, node risk is computed as sum of squared
error. To get a meaningfull value to compare with it needs to be
normalized to the number of samples in the node (or more generally to
the sum of sample weights in this node). Otherwise the sum of squared
error is highly dependend on the number of samples in the node and
comparision with `regressionAccuracy` parameter is not very meaningful.
After normalization `node_risk` means in fact sample variance for all
samples in the node, which makes much more sence and seams to be what
was originaly intended by the code given that node risk is later used as
a split termination criteria by
```
sqrt(node.node_risk) < params.getRegressionAccuracy()
```
- Recommended compiler checks:
- GCC: CV_GCC
- Clang: CV_CLANG
- fixed problem with CMAKE_CXX_COMPILER_ID=Clang/AppleClang mess on MacOSX
Details: cmake --help-policy CMP0025
- do not declare Clang as GCC compiler
My build fails with the error:
"C:/PROGRA~1/MINGW-~1/X86_64~1.0-P/mingw64/lib/gcc/x86_64-w64-mingw32/7.2.0/include/c++/cmath:1136:11: error: '::hypot' has not been declared".
I have tried to fix it by adding "#include <cmath>" before the line "#include <Python.h>" but then the build has failed with the error:
"C:/PROGRA~1/MINGW-~1/X86_64~1.0-P/mingw64/lib/gcc/x86_64-w64-mingw32/7.2.0/include/c++/math.h:91:12:: error: 'std::_hypot' has not been declared".
Adding "#include <math.h>" allowed me to build opencv.
* Fix#9363
* Renamed the structure and added a new function to the LineSegmentDetectorImpl class as a static member
* Added a new function to the LineSegmentDetectorImpl class as a static member
color.cpp split (#10869)
* initial split is done
* files renamed (these names are excluded during compilation)
* IPP code moved to corresponding files
* splineBuild, splineInterpolate -> color_lab.cpp
* Lab, Luv: little refactored
* it compiles (didn't check work); Lab OCL code moved to color_lab.cpp
* cvtcolor.cl: Lab/Luv part moved to color_lab.cl
* cvtcolor.cl: color_rgb.cl extracted
* cvtcolor.cl: color_yuv.cl separated
* cvtcolor.cl: color_hsv.cl extracted
* cvtcolor.cl: extracted to color_lab.cl and color_rgb.cl
* helper functions moved to hpp file
* Lab, Luv: moved to color_lab.cpp
* CPU XYZ: to color_lab.cpp
* OCL XYZ: to color_lab.cpp
* warning fixed
* CvtHelper added
* CPU YUV: to color_yuv.cpp, helpers to color.hpp
* CPU HLS/HSV: to color_hsv.cpp
* CPU BGR2BGR: to color_rgb.cpp
* CPU RGB: to color_rgb.cpp
* extra arg removed
* CPU YUV: to color_yuv.cpp
* color code decoded
* OclHelper added, some funcs rewritten
* color_lab.cpp: refactored to use OclHelper
* OCL RGB: to color_rgb.cpp
* OCL HLS/HSV: to color_hsv.cpp
* OCL YUV: to color_yuv.cpp
* OCL YUV planes: to color_yuv.cpp
* OCL: color code reduced
* licence to demosaicing.cpp
* IPP func tables to color_rgb.cpp
* code cleanup
* HAVE_OPENCL ifdefs added
* helpers made more common
* fixed two plane YUV with separate mats
* fixed warning in gcc7.2.0
* precomp header fixed
* color space classification functions fixed
* helpers fixed
* rename: isSRGB -> is_sRGB
This offsets text brightness of pixel brightness values
by offsetting it by 127 to the curent pixel value.
The text is now readable even if pixels are black.
To avoid compilation of this code:
- buf = 0;
This code can be received after refactoring of 1D cv::Mat to cv::AutoBuffer.
- "cv_mat = 0" calls setTo().
- cv::AutoBuffer calls "allocate(0)" - this is wrong.