Struct opencv::cudaoptflow::CUDA_NvidiaOpticalFlow_2_0
source · pub struct CUDA_NvidiaOpticalFlow_2_0 { /* private fields */ }
Expand description
Class for computing the optical flow vectors between two images using NVIDIA Optical Flow hardware and Optical Flow SDK 2.0.
Note:
- A sample application demonstrating the use of NVIDIA Optical Flow can be found at opencv_contrib_source_code/modules/cudaoptflow/samples/nvidia_optical_flow.cpp
- An example application comparing accuracy and performance of NVIDIA Optical Flow with other optical flow algorithms in OpenCV can be found at opencv_contrib_source_code/modules/cudaoptflow/samples/optical_flow.cpp
Implementations§
source§impl CUDA_NvidiaOpticalFlow_2_0
impl CUDA_NvidiaOpticalFlow_2_0
sourcepub fn create(
image_size: Size,
perf_preset: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_PERF_LEVEL,
output_grid_size: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_OUTPUT_VECTOR_GRID_SIZE,
hint_grid_size: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_HINT_VECTOR_GRID_SIZE,
enable_temporal_hints: bool,
enable_external_hints: bool,
enable_cost_buffer: bool,
gpu_id: i32,
input_stream: &mut impl StreamTrait,
output_stream: &mut impl StreamTrait
) -> Result<Ptr<CUDA_NvidiaOpticalFlow_2_0>>
pub fn create( image_size: Size, perf_preset: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_PERF_LEVEL, output_grid_size: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_OUTPUT_VECTOR_GRID_SIZE, hint_grid_size: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_HINT_VECTOR_GRID_SIZE, enable_temporal_hints: bool, enable_external_hints: bool, enable_cost_buffer: bool, gpu_id: i32, input_stream: &mut impl StreamTrait, output_stream: &mut impl StreamTrait ) -> Result<Ptr<CUDA_NvidiaOpticalFlow_2_0>>
Instantiate NVIDIA Optical Flow
§Parameters
- imageSize: Size of input image in pixels.
- perfPreset: Optional parameter. Refer NV OF SDK documentation for details about presets. Defaults to NV_OF_PERF_LEVEL_SLOW.
- outputGridSize: Optional parameter. Refer NV OF SDK documentation for details about output grid sizes. Defaults to NV_OF_OUTPUT_VECTOR_GRID_SIZE_1.
- hintGridSize: Optional parameter. Refer NV OF SDK documentation for details about hint grid sizes. Defaults to NV_OF_HINT_VECTOR_GRID_SIZE_1.
- enableTemporalHints: Optional parameter. Flag to enable temporal hints. When set to true, the hardware uses the flow vectors generated in previous call to calc() as internal hints for the current call to calc(). Useful when computing flow vectors between successive video frames. Defaults to false.
- enableExternalHints: Optional Parameter. Flag to enable passing external hints buffer to calc(). Defaults to false.
- enableCostBuffer: Optional Parameter. Flag to enable cost buffer output from calc(). Defaults to false.
- gpuId: Optional parameter to select the GPU ID on which the optical flow should be computed. Useful in multi-GPU systems. Defaults to 0.
- inputStream: Optical flow algorithm may optionally involve cuda preprocessing on the input buffers. The input cuda stream can be used to pipeline and synchronize the cuda preprocessing tasks with OF HW engine. If input stream is not set, the execute function will use default stream which is NULL stream;
- outputStream: Optical flow algorithm may optionally involve cuda post processing on the output flow vectors. The output cuda stream can be used to pipeline and synchronize the cuda post processing tasks with OF HW engine. If output stream is not set, the execute function will use default stream which is NULL stream;
§C++ default parameters
- perf_preset: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_PERF_LEVEL_SLOW
- output_grid_size: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_OUTPUT_VECTOR_GRID_SIZE_1
- hint_grid_size: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_HINT_VECTOR_GRID_SIZE_1
- enable_temporal_hints: false
- enable_external_hints: false
- enable_cost_buffer: false
- gpu_id: 0
- input_stream: Stream::Null()
- output_stream: Stream::Null()
sourcepub fn create_def(image_size: Size) -> Result<Ptr<CUDA_NvidiaOpticalFlow_2_0>>
pub fn create_def(image_size: Size) -> Result<Ptr<CUDA_NvidiaOpticalFlow_2_0>>
Instantiate NVIDIA Optical Flow
§Parameters
- imageSize: Size of input image in pixels.
- perfPreset: Optional parameter. Refer NV OF SDK documentation for details about presets. Defaults to NV_OF_PERF_LEVEL_SLOW.
- outputGridSize: Optional parameter. Refer NV OF SDK documentation for details about output grid sizes. Defaults to NV_OF_OUTPUT_VECTOR_GRID_SIZE_1.
- hintGridSize: Optional parameter. Refer NV OF SDK documentation for details about hint grid sizes. Defaults to NV_OF_HINT_VECTOR_GRID_SIZE_1.
- enableTemporalHints: Optional parameter. Flag to enable temporal hints. When set to true, the hardware uses the flow vectors generated in previous call to calc() as internal hints for the current call to calc(). Useful when computing flow vectors between successive video frames. Defaults to false.
- enableExternalHints: Optional Parameter. Flag to enable passing external hints buffer to calc(). Defaults to false.
- enableCostBuffer: Optional Parameter. Flag to enable cost buffer output from calc(). Defaults to false.
- gpuId: Optional parameter to select the GPU ID on which the optical flow should be computed. Useful in multi-GPU systems. Defaults to 0.
- inputStream: Optical flow algorithm may optionally involve cuda preprocessing on the input buffers. The input cuda stream can be used to pipeline and synchronize the cuda preprocessing tasks with OF HW engine. If input stream is not set, the execute function will use default stream which is NULL stream;
- outputStream: Optical flow algorithm may optionally involve cuda post processing on the output flow vectors. The output cuda stream can be used to pipeline and synchronize the cuda post processing tasks with OF HW engine. If output stream is not set, the execute function will use default stream which is NULL stream;
§Note
This alternative version of CUDA_NvidiaOpticalFlow_2_0::create function uses the following default values for its arguments:
- perf_preset: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_PERF_LEVEL_SLOW
- output_grid_size: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_OUTPUT_VECTOR_GRID_SIZE_1
- hint_grid_size: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_HINT_VECTOR_GRID_SIZE_1
- enable_temporal_hints: false
- enable_external_hints: false
- enable_cost_buffer: false
- gpu_id: 0
- input_stream: Stream::Null()
- output_stream: Stream::Null()
sourcepub fn create_1(
image_size: Size,
roi_data: Vector<Rect>,
perf_preset: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_PERF_LEVEL,
output_grid_size: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_OUTPUT_VECTOR_GRID_SIZE,
hint_grid_size: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_HINT_VECTOR_GRID_SIZE,
enable_temporal_hints: bool,
enable_external_hints: bool,
enable_cost_buffer: bool,
gpu_id: i32,
input_stream: &mut impl StreamTrait,
output_stream: &mut impl StreamTrait
) -> Result<Ptr<CUDA_NvidiaOpticalFlow_2_0>>
pub fn create_1( image_size: Size, roi_data: Vector<Rect>, perf_preset: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_PERF_LEVEL, output_grid_size: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_OUTPUT_VECTOR_GRID_SIZE, hint_grid_size: CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_HINT_VECTOR_GRID_SIZE, enable_temporal_hints: bool, enable_external_hints: bool, enable_cost_buffer: bool, gpu_id: i32, input_stream: &mut impl StreamTrait, output_stream: &mut impl StreamTrait ) -> Result<Ptr<CUDA_NvidiaOpticalFlow_2_0>>
Instantiate NVIDIA Optical Flow with ROI Feature
§Parameters
- imageSize: Size of input image in pixels.
- roiData: Pointer to ROI data.
- perfPreset: Optional parameter. Refer NV OF SDK documentation for details about presets. Defaults to NV_OF_PERF_LEVEL_SLOW.
- outputGridSize: Optional parameter. Refer NV OF SDK documentation for details about output grid sizes. Defaults to NV_OF_OUTPUT_VECTOR_GRID_SIZE_1.
- hintGridSize: Optional parameter. Refer NV OF SDK documentation for details about hint grid sizes. Defaults to NV_OF_HINT_VECTOR_GRID_SIZE_1.
- enableTemporalHints: Optional parameter. Flag to enable temporal hints. When set to true, the hardware uses the flow vectors generated in previous call to calc() as internal hints for the current call to calc(). Useful when computing flow vectors between successive video frames. Defaults to false.
- enableExternalHints: Optional Parameter. Flag to enable passing external hints buffer to calc(). Defaults to false.
- enableCostBuffer: Optional Parameter. Flag to enable cost buffer output from calc(). Defaults to false.
- gpuId: Optional parameter to select the GPU ID on which the optical flow should be computed. Useful in multi-GPU systems. Defaults to 0.
- inputStream: Optical flow algorithm may optionally involve cuda preprocessing on the input buffers. The input cuda stream can be used to pipeline and synchronize the cuda preprocessing tasks with OF HW engine. If input stream is not set, the execute function will use default stream which is NULL stream;
- outputStream: Optical flow algorithm may optionally involve cuda post processing on the output flow vectors. The output cuda stream can be used to pipeline and synchronize the cuda post processing tasks with OF HW engine. If output stream is not set, the execute function will use default stream which is NULL stream;
§C++ default parameters
- perf_preset: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_PERF_LEVEL_SLOW
- output_grid_size: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_OUTPUT_VECTOR_GRID_SIZE_1
- hint_grid_size: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_HINT_VECTOR_GRID_SIZE_1
- enable_temporal_hints: false
- enable_external_hints: false
- enable_cost_buffer: false
- gpu_id: 0
- input_stream: Stream::Null()
- output_stream: Stream::Null()
sourcepub fn create_def_1(
image_size: Size,
roi_data: Vector<Rect>
) -> Result<Ptr<CUDA_NvidiaOpticalFlow_2_0>>
pub fn create_def_1( image_size: Size, roi_data: Vector<Rect> ) -> Result<Ptr<CUDA_NvidiaOpticalFlow_2_0>>
Instantiate NVIDIA Optical Flow with ROI Feature
§Parameters
- imageSize: Size of input image in pixels.
- roiData: Pointer to ROI data.
- perfPreset: Optional parameter. Refer NV OF SDK documentation for details about presets. Defaults to NV_OF_PERF_LEVEL_SLOW.
- outputGridSize: Optional parameter. Refer NV OF SDK documentation for details about output grid sizes. Defaults to NV_OF_OUTPUT_VECTOR_GRID_SIZE_1.
- hintGridSize: Optional parameter. Refer NV OF SDK documentation for details about hint grid sizes. Defaults to NV_OF_HINT_VECTOR_GRID_SIZE_1.
- enableTemporalHints: Optional parameter. Flag to enable temporal hints. When set to true, the hardware uses the flow vectors generated in previous call to calc() as internal hints for the current call to calc(). Useful when computing flow vectors between successive video frames. Defaults to false.
- enableExternalHints: Optional Parameter. Flag to enable passing external hints buffer to calc(). Defaults to false.
- enableCostBuffer: Optional Parameter. Flag to enable cost buffer output from calc(). Defaults to false.
- gpuId: Optional parameter to select the GPU ID on which the optical flow should be computed. Useful in multi-GPU systems. Defaults to 0.
- inputStream: Optical flow algorithm may optionally involve cuda preprocessing on the input buffers. The input cuda stream can be used to pipeline and synchronize the cuda preprocessing tasks with OF HW engine. If input stream is not set, the execute function will use default stream which is NULL stream;
- outputStream: Optical flow algorithm may optionally involve cuda post processing on the output flow vectors. The output cuda stream can be used to pipeline and synchronize the cuda post processing tasks with OF HW engine. If output stream is not set, the execute function will use default stream which is NULL stream;
§Note
This alternative version of CUDA_NvidiaOpticalFlow_2_0::create function uses the following default values for its arguments:
- perf_preset: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_PERF_LEVEL_SLOW
- output_grid_size: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_OUTPUT_VECTOR_GRID_SIZE_1
- hint_grid_size: cv::cuda::NvidiaOpticalFlow_2_0::NV_OF_HINT_VECTOR_GRID_SIZE_1
- enable_temporal_hints: false
- enable_external_hints: false
- enable_cost_buffer: false
- gpu_id: 0
- input_stream: Stream::Null()
- output_stream: Stream::Null()
Trait Implementations§
source§impl AlgorithmTraitConst for CUDA_NvidiaOpticalFlow_2_0
impl AlgorithmTraitConst for CUDA_NvidiaOpticalFlow_2_0
fn as_raw_Algorithm(&self) -> *const c_void
source§fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
Stores algorithm parameters in a file storage
source§fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
Stores algorithm parameters in a file storage Read more
source§fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
@deprecated Read more
source§fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>
fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>
👎Deprecated:
§Note
Deprecated: ## Note
This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments: Read more
source§fn empty(&self) -> Result<bool>
fn empty(&self) -> Result<bool>
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
source§fn save(&self, filename: &str) -> Result<()>
fn save(&self, filename: &str) -> Result<()>
Saves the algorithm to a file.
In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
source§fn get_default_name(&self) -> Result<String>
fn get_default_name(&self) -> Result<String>
Returns the algorithm string identifier.
This string is used as top level xml/yml node tag when the object is saved to a file or string.
source§impl Boxed for CUDA_NvidiaOpticalFlow_2_0
impl Boxed for CUDA_NvidiaOpticalFlow_2_0
source§unsafe fn from_raw(
ptr: <CUDA_NvidiaOpticalFlow_2_0 as OpenCVFromExtern>::ExternReceive
) -> Self
unsafe fn from_raw( ptr: <CUDA_NvidiaOpticalFlow_2_0 as OpenCVFromExtern>::ExternReceive ) -> Self
Wrap the specified raw pointer Read more
source§fn into_raw(
self
) -> <CUDA_NvidiaOpticalFlow_2_0 as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw( self ) -> <CUDA_NvidiaOpticalFlow_2_0 as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
source§fn as_raw(
&self
) -> <CUDA_NvidiaOpticalFlow_2_0 as OpenCVTypeExternContainer>::ExternSend
fn as_raw( &self ) -> <CUDA_NvidiaOpticalFlow_2_0 as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
source§fn as_raw_mut(
&mut self
) -> <CUDA_NvidiaOpticalFlow_2_0 as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self ) -> <CUDA_NvidiaOpticalFlow_2_0 as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
source§impl CUDA_NvidiaHWOpticalFlowTrait for CUDA_NvidiaOpticalFlow_2_0
impl CUDA_NvidiaHWOpticalFlowTrait for CUDA_NvidiaOpticalFlow_2_0
fn as_raw_mut_CUDA_NvidiaHWOpticalFlow(&mut self) -> *mut c_void
source§fn calc(
&mut self,
input_image: &impl ToInputArray,
reference_image: &impl ToInputArray,
flow: &mut impl ToInputOutputArray,
stream: &mut impl StreamTrait,
hint: &impl ToInputArray,
cost: &mut impl ToOutputArray
) -> Result<()>
fn calc( &mut self, input_image: &impl ToInputArray, reference_image: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, hint: &impl ToInputArray, cost: &mut impl ToOutputArray ) -> Result<()>
Calculates Optical Flow using NVIDIA Optical Flow SDK. Read more
source§fn calc_def(
&mut self,
input_image: &impl ToInputArray,
reference_image: &impl ToInputArray,
flow: &mut impl ToInputOutputArray
) -> Result<()>
fn calc_def( &mut self, input_image: &impl ToInputArray, reference_image: &impl ToInputArray, flow: &mut impl ToInputOutputArray ) -> Result<()>
Calculates Optical Flow using NVIDIA Optical Flow SDK. Read more
source§fn collect_garbage(&mut self) -> Result<()>
fn collect_garbage(&mut self) -> Result<()>
Releases all buffers, contexts and device pointers.
source§impl CUDA_NvidiaHWOpticalFlowTraitConst for CUDA_NvidiaOpticalFlow_2_0
impl CUDA_NvidiaHWOpticalFlowTraitConst for CUDA_NvidiaOpticalFlow_2_0
fn as_raw_CUDA_NvidiaHWOpticalFlow(&self) -> *const c_void
source§fn get_grid_size(&self) -> Result<i32>
fn get_grid_size(&self) -> Result<i32>
Returns grid size of output buffer as per the hardware’s capability.
source§impl CUDA_NvidiaOpticalFlow_2_0Trait for CUDA_NvidiaOpticalFlow_2_0
impl CUDA_NvidiaOpticalFlow_2_0Trait for CUDA_NvidiaOpticalFlow_2_0
fn as_raw_mut_CUDA_NvidiaOpticalFlow_2_0(&mut self) -> *mut c_void
source§fn convert_to_float(
&mut self,
flow: &impl ToInputArray,
float_flow: &mut impl ToInputOutputArray
) -> Result<()>
fn convert_to_float( &mut self, flow: &impl ToInputArray, float_flow: &mut impl ToInputOutputArray ) -> Result<()>
convertToFloat() helper function converts the hardware-generated flow vectors to floating point representation (1 flow vector for gridSize).
gridSize can be queried via function getGridSize(). Read more
source§impl CUDA_NvidiaOpticalFlow_2_0TraitConst for CUDA_NvidiaOpticalFlow_2_0
impl CUDA_NvidiaOpticalFlow_2_0TraitConst for CUDA_NvidiaOpticalFlow_2_0
fn as_raw_CUDA_NvidiaOpticalFlow_2_0(&self) -> *const c_void
source§impl Debug for CUDA_NvidiaOpticalFlow_2_0
impl Debug for CUDA_NvidiaOpticalFlow_2_0
source§impl Drop for CUDA_NvidiaOpticalFlow_2_0
impl Drop for CUDA_NvidiaOpticalFlow_2_0
source§impl From<CUDA_NvidiaOpticalFlow_2_0> for Algorithm
impl From<CUDA_NvidiaOpticalFlow_2_0> for Algorithm
source§fn from(s: CUDA_NvidiaOpticalFlow_2_0) -> Self
fn from(s: CUDA_NvidiaOpticalFlow_2_0) -> Self
Converts to this type from the input type.
source§impl From<CUDA_NvidiaOpticalFlow_2_0> for CUDA_NvidiaHWOpticalFlow
impl From<CUDA_NvidiaOpticalFlow_2_0> for CUDA_NvidiaHWOpticalFlow
source§fn from(s: CUDA_NvidiaOpticalFlow_2_0) -> Self
fn from(s: CUDA_NvidiaOpticalFlow_2_0) -> Self
Converts to this type from the input type.
impl Send for CUDA_NvidiaOpticalFlow_2_0
Auto Trait Implementations§
impl Freeze for CUDA_NvidiaOpticalFlow_2_0
impl RefUnwindSafe for CUDA_NvidiaOpticalFlow_2_0
impl !Sync for CUDA_NvidiaOpticalFlow_2_0
impl Unpin for CUDA_NvidiaOpticalFlow_2_0
impl UnwindSafe for CUDA_NvidiaOpticalFlow_2_0
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
source§unsafe fn modify_inplace<Res>(
&mut self,
f: impl FnOnce(&Mat, &mut Mat) -> Res
) -> Res
unsafe fn modify_inplace<Res>( &mut self, f: impl FnOnce(&Mat, &mut Mat) -> Res ) -> Res
Helper function to call OpenCV functions that allow in-place modification of a
Mat
or another similar object. By passing
a mutable reference to the Mat
to this function your closure will get called with the read reference and a write references
to the same Mat
. This is of course unsafe as it breaks the Rust aliasing rules, but it might be useful for some performance
sensitive operations. One example of an OpenCV function that allows such in-place modification is imgproc::threshold
. Read more