OpenCV
3.4.19
Open Source Computer Vision
|
Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors. More...
#include <opencv2/cudafeatures2d.hpp>
Public Member Functions | |
virtual | ~Feature2DAsync () |
virtual void | computeAsync (InputArray image, OutputArray keypoints, OutputArray descriptors, Stream &stream=Stream::Null()) |
Computes the descriptors for a set of keypoints detected in an image. More... | |
virtual void | convert (InputArray gpu_keypoints, std::vector< KeyPoint > &keypoints)=0 |
virtual void | detectAndComputeAsync (InputArray image, InputArray mask, OutputArray keypoints, OutputArray descriptors, bool useProvidedKeypoints=false, Stream &stream=Stream::Null()) |
virtual void | detectAsync (InputArray image, OutputArray keypoints, InputArray mask=noArray(), Stream &stream=Stream::Null()) |
Detects keypoints in an image. More... | |
Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors.
|
virtual |
|
virtual |
Computes the descriptors for a set of keypoints detected in an image.
image | Image. |
keypoints | Input collection of keypoints. |
descriptors | Computed descriptors. Row j is the descriptor for j-th keypoint. |
stream | CUDA stream. |
|
pure virtual |
Converts keypoints array from internal representation to standard vector.
|
virtual |
Detects keypoints and computes the descriptors.
|
virtual |
Detects keypoints in an image.
image | Image. |
keypoints | The detected keypoints. |
mask | Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest. |
stream | CUDA stream. |