提交 4f44d9ea 编写于 作者: V Vladislav Vinogradov

added docs for FAST_GPU and ORB_GPU

上级 58604776
......@@ -99,6 +99,252 @@ The class ``SURF_GPU`` uses some buffers and provides access to it. All buffers
gpu::FAST_GPU
-------------
.. ocv:class:: gpu::FAST_GPU
Class used for corner detection using the FAST algorithm. ::
class FAST_GPU
{
public:
enum
{
LOCATION_ROW = 0,
RESPONSE_ROW,
ROWS_COUNT
};
// all features have same size
static const int FEATURE_SIZE = 7;
explicit FAST_GPU(int threshold, bool nonmaxSupression = true,
double keypointsRatio = 0.05);
void operator ()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints);
void operator ()(const GpuMat& image, const GpuMat& mask,
std::vector<KeyPoint>& keypoints);
void downloadKeypoints(const GpuMat& d_keypoints,
std::vector<KeyPoint>& keypoints);
void convertKeypoints(const Mat& h_keypoints,
std::vector<KeyPoint>& keypoints);
void release();
bool nonmaxSupression;
int threshold;
double keypointsRatio;
int calcKeyPointsLocation(const GpuMat& image, const GpuMat& mask);
int getKeyPoints(GpuMat& keypoints);
};
The class ``FAST_GPU`` implements FAST corner detection algorithm.
.. seealso:: :ocv:func:`FAST`
gpu::FAST_GPU::FAST_GPU
-------------------------------------
Constructor.
.. ocv:function:: gpu::FAST_GPU::FAST_GPU(int threshold, bool nonmaxSupression = true, double keypointsRatio = 0.05)
:param threshold: Threshold on difference between intensity of the central pixel and pixels on a circle around this pixel.
:param nonmaxSupression: If it is true, non-maximum supression is applied to detected corners (keypoints).
:param keypointsRatio: Inner buffer size for keypoints store is determined as (keypointsRatio * image_width * image_height).
gpu::FAST_GPU::operator ()
-------------------------------------
Finds the keypoints using FAST detector.
.. ocv:function:: void gpu::FAST_GPU::operator ()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints)
.. ocv:function:: void gpu::FAST_GPU::operator ()(const GpuMat& image, const GpuMat& mask, std::vector<KeyPoint>& keypoints)
:param image: Image where keypoints (corners) are detected. Only 8-bit grayscale images are supported.
:param mask: Optional input mask that marks the regions where we should detect features.
:param keypoints: The output vector of keypoints. Can be stored both in CPU and GPU memory. For GPU memory keypoints.ptr<Vec2s>(LOCATION_ROW)[i] will contain location of i'th point and keypoints.ptr<float>(RESPONSE_ROW)[i] will contaion response of i'th point (if non-maximum supression is applied).
gpu::FAST_GPU::downloadKeypoints
-------------------------------------
Download keypoints from GPU to CPU memory.
.. ocv:function:: void gpu::FAST_GPU::downloadKeypoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints)
gpu::FAST_GPU::convertKeypoints
-------------------------------------
Converts keypoints from GPU representation to vector of ``KeyPoint``.
.. ocv:function:: void gpu::FAST_GPU::convertKeypoints(const Mat& h_keypoints, std::vector<KeyPoint>& keypoints)
gpu::FAST_GPU::release
-------------------------------------
Releases inner buffer memory.
.. ocv:function:: void gpu::FAST_GPU::release()
gpu::FAST_GPU::calcKeyPointsLocation
-------------------------------------
Find keypoints and compute it's response if ``nonmaxSupression`` is true.
.. int gpu::FAST_GPU::calcKeyPointsLocation(const GpuMat& image, const GpuMat& mask)
:param image: Image where keypoints (corners) are detected. Only 8-bit grayscale images are supported.
:param mask: Optional input mask that marks the regions where we should detect features.
The function returns count of detected keypoints.
gpu::FAST_GPU::getKeyPoints
-------------------------------------
Gets final array of keypoints.
.. ocv:function:: int gpu::FAST_GPU::getKeyPoints(GpuMat& keypoints)
:param keypoints: The output vector of keypoints.
The function performs nonmax supression if needed and returns final count of keypoints.
gpu::ORB_GPU
-------------
.. ocv:class:: gpu::ORB_GPU
Class for extracting ORB features and descriptors from an image. ::
class ORB_GPU
{
public:
enum
{
X_ROW = 0,
Y_ROW,
RESPONSE_ROW,
ANGLE_ROW,
OCTAVE_ROW,
SIZE_ROW,
ROWS_COUNT
};
enum
{
DEFAULT_FAST_THRESHOLD = 20
};
explicit ORB_GPU(size_t n_features = 500,
const ORB::CommonParams& detector_params = ORB::CommonParams());
void operator()(const GpuMat& image, const GpuMat& mask,
std::vector<KeyPoint>& keypoints);
void operator()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints);
void operator()(const GpuMat& image, const GpuMat& mask,
std::vector<KeyPoint>& keypoints, GpuMat& descriptors);
void operator()(const GpuMat& image, const GpuMat& mask,
GpuMat& keypoints, GpuMat& descriptors);
void downloadKeyPoints(GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints);
void convertKeyPoints(Mat& d_keypoints, std::vector<KeyPoint>& keypoints);
int descriptorSize() const;
void setParams(size_t n_features, const ORB::CommonParams& detector_params);
void setFastParams(int threshold, bool nonmaxSupression = true);
void release();
bool blurForDescriptor;
};
The class implements ORB feature detection and description algorithm.
gpu::ORB_GPU::ORB_GPU
-------------------------------------
Constructor.
.. ocv:function:: gpu::ORB_GPU::ORB_GPU(size_t n_features = 500, const ORB::CommonParams& detector_params = ORB::CommonParams())
gpu::ORB_GPU::operator()
-------------------------------------
Detects keypoints and computes descriptors for them.
.. ocv:function:: void gpu::ORB_GPU::operator()(const GpuMat& image, const GpuMat& mask, std::vector<KeyPoint>& keypoints)
.. ocv:function:: void gpu::ORB_GPU::operator()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints)
.. ocv:function:: void gpu::ORB_GPU::operator()(const GpuMat& image, const GpuMat& mask, std::vector<KeyPoint>& keypoints, GpuMat& descriptors)
.. ocv:function:: void gpu::ORB_GPU::operator()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints, GpuMat& descriptors)
:param image: Input 8-bit grayscale image.
:param mask: Optional input mask that marks the regions where we should detect features.
:param keypoints: The input/output vector of keypoints. Can be stored both in CPU and GPU memory. For GPU memory
* ``keypoints.ptr<float>(X_ROW)[i]`` contains x coordinate of the i'th feature.
* ``keypoints.ptr<float>(Y_ROW)[i]`` contains y coordinate of the i'th feature.
* ``keypoints.ptr<float>(RESPONSE_ROW)[i]`` contains the response of the i'th feature.
* ``keypoints.ptr<float>(ANGLE_ROW)[i]`` contains orientation of the i'th feature.
* ``keypoints.ptr<float>(OCTAVE_ROW)[i]`` contains the octave of the i'th feature.
* ``keypoints.ptr<float>(SIZE_ROW)[i]`` contains the size of the i'th feature.
:param descriptors: Computed descriptors. if ``blurForDescriptor`` is true, image will be blurred before descriptors calculation.
gpu::ORB_GPU::downloadKeypoints
-------------------------------------
Download keypoints from GPU to CPU memory.
.. ocv:function:: void gpu::ORB_GPU::downloadKeypoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints)
gpu::ORB_GPU::convertKeypoints
-------------------------------------
Converts keypoints from GPU representation to vector of ``KeyPoint``.
.. ocv:function:: void gpu::ORB_GPU::convertKeypoints(const Mat& h_keypoints, std::vector<KeyPoint>& keypoints)
gpu::ORB_GPU::release
-------------------------------------
Releases inner buffer memory.
.. ocv:function:: void gpu::ORB_GPU::release()
gpu::BruteForceMatcher_GPU
--------------------------
.. ocv:class:: gpu::BruteForceMatcher_GPU
......
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