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updated CascadeClassifier_GPU documentation

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marina.kolpakova 2012-08-20 03:25:52 +04:00
parent ede3781e3e
commit 1521340152
1 changed files with 11 additions and 7 deletions
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modules/gpu/doc/object_detection.rst
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@ -204,7 +204,7 @@ gpu::CascadeClassifier_GPU
--------------------------
.. ocv:class:: gpu::CascadeClassifier_GPU
Cascade classifier class used for object detection. ::
Cascade classifier class used for object detection. Supports HAAR and LBP cascades. ::
class CV_EXPORTS CascadeClassifier_GPU
{
@ -219,6 +219,7 @@ Cascade classifier class used for object detection. ::
/* Returns number of detected objects */
int detectMultiScale( const GpuMat& image, GpuMat& objectsBuf, double scaleFactor=1.2, int minNeighbors=4, Size minSize=Size());
int detectMultiScale( const GpuMat& image, GpuMat& objectsBuf, Size maxObjectSize, Size minSize = Size(), double scaleFactor = 1.1, int minNeighbors = 4);
/* Finds only the largest object. Special mode if training is required.*/
bool findLargestObject;
@ -233,11 +234,11 @@ Cascade classifier class used for object detection. ::
gpu::CascadeClassifier_GPU::CascadeClassifier_GPU
-----------------------------------------------------
Loads the classifier from a file.
Loads the classifier from a file. Cascade type is detected automatically by constructor parameter.
.. ocv:function:: gpu::CascadeClassifier_GPU::CascadeClassifier_GPU(const string& filename)
:param filename: Name of the file from which the classifier is loaded. Only the old ``haar`` classifier (trained by the ``haar`` training application) and NVIDIA's ``nvbin`` are supported.
:param filename: Name of the file from which the classifier is loaded. Only the old ``haar`` classifier (trained by the ``haar`` training application) and NVIDIA's ``nvbin`` are supported for HAAR and only new type of OpenCV XML cascade supported for LBP.
@ -255,8 +256,7 @@ Loads the classifier from a file. The previous content is destroyed.
.. ocv:function:: bool gpu::CascadeClassifier_GPU::load(const string& filename)
:param filename: Name of the file from which the classifier is loaded. Only the old ``haar`` classifier (trained by the ``haar`` training application) and NVIDIA's ``nvbin`` are supported.
:param filename: Name of the file from which the classifier is loaded. Only the old ``haar`` classifier (trained by the ``haar`` training application) and NVIDIA's ``nvbin`` are supported for HAAR and only new type of OpenCV XML cascade supported for LBP.
gpu::CascadeClassifier_GPU::release
@ -273,13 +273,17 @@ Detects objects of different sizes in the input image.
.. ocv:function:: int gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, double scaleFactor=1.2, int minNeighbors=4, Size minSize=Size())
.. ocv:function:: int gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, Size maxObjectSize, Size minSize = Size(), double scaleFactor = 1.1, int minNeighbors = 4)
:param image: Matrix of type ``CV_8U`` containing an image where objects should be detected.
:param objectsBuf: Buffer to store detected objects (rectangles). If it is empty, it is allocated with the default size. If not empty, the function searches not more than N objects, where ``N = sizeof(objectsBufer's data)/sizeof(cv::Rect)``.
:param scaleFactor: Value to specify how much the image size is reduced at each image scale.
:param maxObjectSize: Maximum possible object size. Objects larger than that are ignored. Used for second signature and supported only for LBP cascades.
:param minNeighbors: Value to specify how many neighbours each candidate rectangle has to retain.
:param scaleFactor: Parameter specifying how much the image size is reduced at each image scale.
:param minNeighbors: Parameter specifying how many neighbors each candidate rectangle should have to retain it.
:param minSize: Minimum possible object size. Objects smaller than that are ignored.