Trait CUDA_DescriptorMatcherTrait

pub trait CUDA_DescriptorMatcherTrait: AlgorithmTrait + CUDA_DescriptorMatcherTraitConst {
    // Required method
    fn as_raw_mut_CUDA_DescriptorMatcher(&mut self) -> *mut c_void;

    // Provided methods
    fn add(&mut self, descriptors: &Vector<GpuMat>) -> Result<()> { ... }
    fn clear(&mut self) -> Result<()> { ... }
    fn train(&mut self) -> Result<()> { ... }
    fn match_(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut Vector<DMatch>,
        mask: &impl ToInputArray,
    ) -> Result<()> { ... }
    fn match__def(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut Vector<DMatch>,
    ) -> Result<()> { ... }
    fn match__1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut Vector<DMatch>,
        masks: &Vector<GpuMat>,
    ) -> Result<()> { ... }
    fn match__def_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut Vector<DMatch>,
    ) -> Result<()> { ... }
    fn match_async(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        mask: &impl ToInputArray,
        stream: &mut impl StreamTrait,
    ) -> Result<()> { ... }
    fn match_async_def(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
    ) -> Result<()> { ... }
    fn match_async_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        masks: &Vector<GpuMat>,
        stream: &mut impl StreamTrait,
    ) -> Result<()> { ... }
    fn match_async_def_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
    ) -> Result<()> { ... }
    fn match_convert(
        &mut self,
        gpu_matches: &impl ToInputArray,
        matches: &mut Vector<DMatch>,
    ) -> Result<()> { ... }
    fn knn_match(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        k: i32,
        mask: &impl ToInputArray,
        compact_result: bool,
    ) -> Result<()> { ... }
    fn knn_match_def(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        k: i32,
    ) -> Result<()> { ... }
    fn knn_match_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        k: i32,
        masks: &Vector<GpuMat>,
        compact_result: bool,
    ) -> Result<()> { ... }
    fn knn_match_def_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        k: i32,
    ) -> Result<()> { ... }
    fn knn_match_async(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        k: i32,
        mask: &impl ToInputArray,
        stream: &mut impl StreamTrait,
    ) -> Result<()> { ... }
    fn knn_match_async_def(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        k: i32,
    ) -> Result<()> { ... }
    fn knn_match_async_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        k: i32,
        masks: &Vector<GpuMat>,
        stream: &mut impl StreamTrait,
    ) -> Result<()> { ... }
    fn knn_match_async_def_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        k: i32,
    ) -> Result<()> { ... }
    fn knn_match_convert(
        &mut self,
        gpu_matches: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        compact_result: bool,
    ) -> Result<()> { ... }
    fn knn_match_convert_def(
        &mut self,
        gpu_matches: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
    ) -> Result<()> { ... }
    fn radius_match(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        max_distance: f32,
        mask: &impl ToInputArray,
        compact_result: bool,
    ) -> Result<()> { ... }
    fn radius_match_def(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        max_distance: f32,
    ) -> Result<()> { ... }
    fn radius_match_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        max_distance: f32,
        masks: &Vector<GpuMat>,
        compact_result: bool,
    ) -> Result<()> { ... }
    fn radius_match_def_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        max_distance: f32,
    ) -> Result<()> { ... }
    fn radius_match_async(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        max_distance: f32,
        mask: &impl ToInputArray,
        stream: &mut impl StreamTrait,
    ) -> Result<()> { ... }
    fn radius_match_async_def(
        &mut self,
        query_descriptors: &impl ToInputArray,
        train_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        max_distance: f32,
    ) -> Result<()> { ... }
    fn radius_match_async_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        max_distance: f32,
        masks: &Vector<GpuMat>,
        stream: &mut impl StreamTrait,
    ) -> Result<()> { ... }
    fn radius_match_async_def_1(
        &mut self,
        query_descriptors: &impl ToInputArray,
        matches: &mut impl ToOutputArray,
        max_distance: f32,
    ) -> Result<()> { ... }
    fn radius_match_convert(
        &mut self,
        gpu_matches: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
        compact_result: bool,
    ) -> Result<()> { ... }
    fn radius_match_convert_def(
        &mut self,
        gpu_matches: &impl ToInputArray,
        matches: &mut Vector<Vector<DMatch>>,
    ) -> Result<()> { ... }
}

Mutable methods for crate::cudafeatures2d::CUDA_DescriptorMatcher

Required Methods

fn as_raw_mut_CUDA_DescriptorMatcher(&mut self) -> *mut c_void

Provided Methods

fn add(&mut self, descriptors: &Vector<GpuMat>) -> Result<()>

Adds descriptors to train a descriptor collection.

If the collection is not empty, the new descriptors are added to existing train descriptors.

Parameters

• descriptors: Descriptors to add. Each descriptors[i] is a set of descriptors from the same train image.

fn clear(&mut self) -> Result<()>

Clears the train descriptor collection.

fn train(&mut self) -> Result<()>

Trains a descriptor matcher.

Trains a descriptor matcher (for example, the flann index). In all methods to match, the method train() is run every time before matching.

fn match_( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, mask: &impl ToInputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

C++ default parameters

• mask: noArray()

fn match__def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Finds the best match for each descriptor from a query set (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

Note

This alternative version of CUDA_DescriptorMatcherTrait::match_ function uses the following default values for its arguments:

• mask: noArray()

fn match__1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, masks: &Vector<GpuMat>, ) -> Result<()>

Finds the best match for each descriptor from a query set (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

Overloaded parameters

C++ default parameters

• masks: std::vector()

fn match__def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

@overload

Note

This alternative version of CUDA_DescriptorMatcherTrait::match_ function uses the following default values for its arguments:

• masks: std::vector()

fn match_async( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds the best match for each descriptor from a query set (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::matchConvert method to retrieve results in standard representation.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

C++ default parameters

• mask: noArray()
• stream: Stream::Null()

fn match_async_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::matchConvert method to retrieve results in standard representation.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

Note

This alternative version of CUDA_DescriptorMatcherTrait::match_async function uses the following default values for its arguments:

• mask: noArray()
• stream: Stream::Null()

fn match_async_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, masks: &Vector<GpuMat>, stream: &mut impl StreamTrait, ) -> Result<()>

Finds the best match for each descriptor from a query set (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::matchConvert method to retrieve results in standard representation.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

Overloaded parameters

C++ default parameters

• masks: std::vector()
• stream: Stream::Null()

fn match_async_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, ) -> Result<()>

@overload

Note

This alternative version of CUDA_DescriptorMatcherTrait::match_async function uses the following default values for its arguments:

• masks: std::vector()
• stream: Stream::Null()

fn match_convert( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

The method is supposed to be used with DescriptorMatcher::matchAsync to get final result. Call this method only after DescriptorMatcher::matchAsync is completed (ie. after synchronization).

Parameters

• gpu_matches: Matches, returned from DescriptorMatcher::matchAsync.
• matches: Vector of DMatch objects.

fn knn_match( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches. Each matches[i] is k or less matches for the same query descriptor.
• k: Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

These extended variants of DescriptorMatcher::match methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::match for the details about query and train descriptors.

C++ default parameters

• mask: noArray()
• compact_result: false

fn knn_match_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches. Each matches[i] is k or less matches for the same query descriptor.
• k: Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

These extended variants of DescriptorMatcher::match methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::match for the details about query and train descriptors.

Note

This alternative version of CUDA_DescriptorMatcherTrait::knn_match function uses the following default values for its arguments:

• mask: noArray()
• compact_result: false

fn knn_match_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, masks: &Vector<GpuMat>, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches. Each matches[i] is k or less matches for the same query descriptor.
• k: Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

These extended variants of DescriptorMatcher::match methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::match for the details about query and train descriptors.

Overloaded parameters

C++ default parameters

• masks: std::vector()
• compact_result: false

fn knn_match_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

@overload

Note

This alternative version of CUDA_DescriptorMatcherTrait::knn_match function uses the following default values for its arguments:

• masks: std::vector()
• compact_result: false

fn knn_match_async( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, k: i32, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::knnMatchConvert method to retrieve results in standard representation.
• k: Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

These extended variants of DescriptorMatcher::matchAsync methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::matchAsync for the details about query and train descriptors.

C++ default parameters

• mask: noArray()
• stream: Stream::Null()

fn knn_match_async_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, k: i32, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::knnMatchConvert method to retrieve results in standard representation.
• k: Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

These extended variants of DescriptorMatcher::matchAsync methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::matchAsync for the details about query and train descriptors.

Note

This alternative version of CUDA_DescriptorMatcherTrait::knn_match_async function uses the following default values for its arguments:

• mask: noArray()
• stream: Stream::Null()

fn knn_match_async_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, k: i32, masks: &Vector<GpuMat>, stream: &mut impl StreamTrait, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::knnMatchConvert method to retrieve results in standard representation.
• k: Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

These extended variants of DescriptorMatcher::matchAsync methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::matchAsync for the details about query and train descriptors.

Overloaded parameters

C++ default parameters

• masks: std::vector()
• stream: Stream::Null()

fn knn_match_async_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, k: i32, ) -> Result<()>

@overload

Note

This alternative version of CUDA_DescriptorMatcherTrait::knn_match_async function uses the following default values for its arguments:

• masks: std::vector()
• stream: Stream::Null()

fn knn_match_convert( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, compact_result: bool, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

The method is supposed to be used with DescriptorMatcher::knnMatchAsync to get final result. Call this method only after DescriptorMatcher::knnMatchAsync is completed (ie. after synchronization).

Parameters

• gpu_matches: Matches, returned from DescriptorMatcher::knnMatchAsync.
• matches: Vector of DMatch objects.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

C++ default parameters

• compact_result: false

fn knn_match_convert_def( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

The method is supposed to be used with DescriptorMatcher::knnMatchAsync to get final result. Call this method only after DescriptorMatcher::knnMatchAsync is completed (ie. after synchronization).

Parameters

• gpu_matches: Matches, returned from DescriptorMatcher::knnMatchAsync.
• matches: Vector of DMatch objects.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

Note

This alternative version of CUDA_DescriptorMatcherTrait::knn_match_convert function uses the following default values for its arguments:

• compact_result: false

fn radius_match( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Found matches.
• maxDistance: Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

C++ default parameters

• mask: noArray()
• compact_result: false

fn radius_match_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Found matches.
• maxDistance: Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

Note

This alternative version of CUDA_DescriptorMatcherTrait::radius_match function uses the following default values for its arguments:

• mask: noArray()
• compact_result: false

fn radius_match_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, masks: &Vector<GpuMat>, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (blocking version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Found matches.
• maxDistance: Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

Overloaded parameters

C++ default parameters

• masks: std::vector()
• compact_result: false

fn radius_match_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

@overload

Note

This alternative version of CUDA_DescriptorMatcherTrait::radius_match function uses the following default values for its arguments:

• masks: std::vector()
• compact_result: false

fn radius_match_async( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, max_distance: f32, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::radiusMatchConvert method to retrieve results in standard representation.
• maxDistance: Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

C++ default parameters

• mask: noArray()
• stream: Stream::Null()

fn radius_match_async_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, max_distance: f32, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::radiusMatchConvert method to retrieve results in standard representation.
• maxDistance: Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

Note

This alternative version of CUDA_DescriptorMatcherTrait::radius_match_async function uses the following default values for its arguments:

• mask: noArray()
• stream: Stream::Null()

fn radius_match_async_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, max_distance: f32, masks: &Vector<GpuMat>, stream: &mut impl StreamTrait, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (asynchronous version).

Parameters

• queryDescriptors: Query set of descriptors.
• trainDescriptors: Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
• matches: Matches array stored in GPU memory. Internal representation is not defined. Use DescriptorMatcher::radiusMatchConvert method to retrieve results in standard representation.
• maxDistance: Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
• mask: Mask specifying permissible matches between an input query and train matrices of descriptors.
• stream: CUDA stream.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

Overloaded parameters

C++ default parameters

• masks: std::vector()
• stream: Stream::Null()

fn radius_match_async_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, max_distance: f32, ) -> Result<()>

@overload

Note

This alternative version of CUDA_DescriptorMatcherTrait::radius_match_async function uses the following default values for its arguments:

• masks: std::vector()
• stream: Stream::Null()

fn radius_match_convert( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, compact_result: bool, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

The method is supposed to be used with DescriptorMatcher::radiusMatchAsync to get final result. Call this method only after DescriptorMatcher::radiusMatchAsync is completed (ie. after synchronization).

Parameters

• gpu_matches: Matches, returned from DescriptorMatcher::radiusMatchAsync.
• matches: Vector of DMatch objects.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

C++ default parameters

• compact_result: false

fn radius_match_convert_def( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

The method is supposed to be used with DescriptorMatcher::radiusMatchAsync to get final result. Call this method only after DescriptorMatcher::radiusMatchAsync is completed (ie. after synchronization).

Parameters

• gpu_matches: Matches, returned from DescriptorMatcher::radiusMatchAsync.
• matches: Vector of DMatch objects.
• compactResult: Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

Note

This alternative version of CUDA_DescriptorMatcherTrait::radius_match_convert function uses the following default values for its arguments:

• compact_result: false

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors

impl CUDA_DescriptorMatcherTrait for BoxedRefMut<'_, CUDA_DescriptorMatcher>

impl CUDA_DescriptorMatcherTrait for Ptr<CUDA_DescriptorMatcher>

impl CUDA_DescriptorMatcherTrait for CUDA_DescriptorMatcher