Normalized file endings.
This commit is contained in:
@@ -30,4 +30,4 @@ Wrapping class for computing descriptors by using the
|
||||
virtual int descriptorType() const;
|
||||
protected:
|
||||
...
|
||||
}
|
||||
}
|
||||
|
@@ -361,4 +361,3 @@ Wrapping class for computing, matching, and classifying descriptors using the
|
||||
protected:
|
||||
...
|
||||
};
|
||||
|
||||
|
@@ -191,4 +191,3 @@ Reads the trained Gaussian mixture model from the file storage.
|
||||
:param fs: A file storage with the trained model.
|
||||
|
||||
:param node: The parent map. If it is NULL, the function searches a node with parameters in all the top-level nodes (streams), starting with the first one.
|
||||
|
||||
|
@@ -92,4 +92,3 @@ Returns a pointer to the histogram bin.
|
||||
..
|
||||
|
||||
The macros ``GetHistValue`` return a pointer to the specified bin of the 1D, 2D, 3D, or N-D histogram. In case of a sparse histogram, the function creates a new bin and sets it to 0, unless it exists already.
|
||||
|
||||
|
@@ -84,5 +84,3 @@ Calculates the optical flow for two images using Lucas-Kanade algorithm.
|
||||
:param vely: Vertical component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
|
||||
|
||||
The function computes the flow for every pixel of the first input image using the Lucas and Kanade algorithm [Lucas81]_. The function is obsolete. To track sparse features, use :ocv:func:`calcOpticalFlowPyrLK`. To track all the pixels, use :ocv:func:`calcOpticalFlowFarneback`.
|
||||
|
||||
|
||||
|
@@ -322,4 +322,3 @@ Inserts a single point into a Delaunay triangulation.
|
||||
:param pt: Inserted point.
|
||||
|
||||
The function inserts a single point into a subdivision and modifies the subdivision topology appropriately. If a point with the same coordinates exists already, no new point is added. The function returns a pointer to the allocated point. No virtual point coordinates are calculated at this stage.
|
||||
|
||||
|
Reference in New Issue
Block a user