Module opencv::cudaoptflow

Optical Flow

Modules

• prelude

Enums

• CUDA_NvidiaOpticalFlow_1_0_NVIDIA_OF_PERF_LEVEL
  Supported optical flow performance levels.
• CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_HINT_VECTOR_GRID_SIZE
  Supported grid size for hint buffer.
• CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_OUTPUT_VECTOR_GRID_SIZE
  Supported grid size for output buffer.
• CUDA_NvidiaOpticalFlow_2_0_NVIDIA_OF_PERF_LEVEL
  Supported optical flow performance levels.

Constants

• CUDA_NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_FAST
  < Fast perf level results in high performance and low quality
• CUDA_NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_MAX
• CUDA_NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_MEDIUM
  < Medium perf level results in low performance and medium quality
• CUDA_NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_SLOW
  < Slow perf level results in lowest performance and best quality
• CUDA_NvidiaOpticalFlow_1_0_NV_OF_PERF_LEVEL_UNDEFINED
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_1
  < Hint buffer grid size is 1x1.
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_2
  < Hint buffer grid size is 2x2.
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_4
  < Hint buffer grid size is 4x4.
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_8
  < Hint buffer grid size is 8x8.
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_MAX
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_HINT_VECTOR_GRID_SIZE_UNDEFINED
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_1
  < Output buffer grid size is 1x1
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_2
  < Output buffer grid size is 2x2
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_4
  < Output buffer grid size is 4x4
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_MAX
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_OUTPUT_VECTOR_GRID_SIZE_UNDEFINED
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_FAST
  < Fast perf level results in high performance and low quality
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_MAX
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_MEDIUM
  < Medium perf level results in low performance and medium quality
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_SLOW
  < Slow perf level results in lowest performance and best quality
• CUDA_NvidiaOpticalFlow_2_0_NV_OF_PERF_LEVEL_UNDEFINED

Traits

• CUDA_BroxOpticalFlow
  Class computing the optical flow for two images using Brox et al Optical Flow algorithm (Brox2004).
• CUDA_BroxOpticalFlowConst
  Constant methods for crate::cudaoptflow::CUDA_BroxOpticalFlow
• CUDA_DenseOpticalFlow
  Base interface for dense optical flow algorithms.
• CUDA_DenseOpticalFlowConst
  Constant methods for crate::cudaoptflow::CUDA_DenseOpticalFlow
• CUDA_DensePyrLKOpticalFlow
  Class used for calculating a dense optical flow.
• CUDA_DensePyrLKOpticalFlowConst
  Constant methods for crate::cudaoptflow::CUDA_DensePyrLKOpticalFlow
• CUDA_FarnebackOpticalFlow
  Class computing a dense optical flow using the Gunnar Farneback’s algorithm.
• CUDA_FarnebackOpticalFlowConst
  Constant methods for crate::cudaoptflow::CUDA_FarnebackOpticalFlow
• CUDA_NvidiaHWOpticalFlow
  Base Interface for optical flow algorithms using NVIDIA Optical Flow SDK.
• CUDA_NvidiaHWOpticalFlowConst
  Constant methods for crate::cudaoptflow::CUDA_NvidiaHWOpticalFlow
• CUDA_NvidiaOpticalFlow_1_0
  Class for computing the optical flow vectors between two images using NVIDIA Optical Flow hardware and Optical Flow SDK 1.0.
• CUDA_NvidiaOpticalFlow_1_0Const
  Constant methods for crate::cudaoptflow::CUDA_NvidiaOpticalFlow_1_0
• CUDA_NvidiaOpticalFlow_2_0
  Class for computing the optical flow vectors between two images using NVIDIA Optical Flow hardware and Optical Flow SDK 2.0.
• CUDA_NvidiaOpticalFlow_2_0Const
  Constant methods for crate::cudaoptflow::CUDA_NvidiaOpticalFlow_2_0
• CUDA_OpticalFlowDual_TVL1
  Implementation of the Zach, Pock and Bischof Dual TV-L1 Optical Flow method.
• CUDA_OpticalFlowDual_TVL1Const
  Constant methods for crate::cudaoptflow::CUDA_OpticalFlowDual_TVL1
• CUDA_SparseOpticalFlow
  Base interface for sparse optical flow algorithms.
• CUDA_SparseOpticalFlowConst
  Constant methods for crate::cudaoptflow::CUDA_SparseOpticalFlow
• CUDA_SparsePyrLKOpticalFlow
  Class used for calculating a sparse optical flow.
• CUDA_SparsePyrLKOpticalFlowConst
  Constant methods for crate::cudaoptflow::CUDA_SparsePyrLKOpticalFlow