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OpenCV
3.4.3
Open Source Computer Vision
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Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors. More...
#include "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.
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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. |
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pure virtual |
Converts keypoints array from internal representation to standard vector.
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Detects keypoints and computes the descriptors.
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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. |
1.8.12