opencv_core.Mat |
opencv_core.Mat.apply(opencv_core.Range ranges) |
void |
opencv_core.ParallelLoopBody.apply(opencv_core.Range range) |
opencv_core.Mat |
opencv_core.Mat.apply(opencv_core.Range rowRange,
opencv_core.Range colRange)
extracts a rectangular sub-matrix
// (this is a generalized form of row, rowRange etc.)
|
opencv_core.Mat |
opencv_core.Mat.colRange(opencv_core.Range r) |
static void |
opencv_core.parallel_for_(opencv_core.Range range,
opencv_core.ParallelLoopBody body) |
static void |
opencv_core.parallel_for_(opencv_core.Range range,
opencv_core.ParallelLoopBody body,
double nstripes) |
float |
opencv_ml.CvBoost.predict(opencv_core.Mat sample,
opencv_core.Mat missing,
opencv_core.Range slice,
boolean rawMode,
boolean returnSum) |
float |
opencv_ml.CvGBTrees.predict(opencv_core.Mat sample,
opencv_core.Mat missing,
opencv_core.Range slice,
int k) |
opencv_core.Mat |
opencv_core.Mat.rowRange(opencv_core.Range r) |