From c6f9510bcb754afaadfe9477ff85d6c55ffcf43b Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Tue, 30 Mar 2021 10:03:01 +0100 Subject: Remove Computer Vision generic interfaces and types Removes: - reference validation routines - CV related types and structures - CV related interfaces Signed-off-by: Georgios Pinitas Change-Id: I3a203da12d9b04c154059b190aeba18a611149a9 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5340 Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio Comments-Addressed: Arm Jenkins --- src/core/TensorInfo.cpp | 35 ----------------------------------- 1 file changed, 35 deletions(-) (limited to 'src/core/TensorInfo.cpp') diff --git a/src/core/TensorInfo.cpp b/src/core/TensorInfo.cpp index bedfe147b0..c471615ee8 100644 --- a/src/core/TensorInfo.cpp +++ b/src/core/TensorInfo.cpp @@ -24,7 +24,6 @@ #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Error.h" -#include "arm_compute/core/HOGInfo.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Validate.h" @@ -100,12 +99,6 @@ TensorInfo::TensorInfo(const TensorShape &tensor_shape, size_t num_channels, Dat _data_layout = data_layout; } -TensorInfo::TensorInfo(const HOGInfo &hog_info, unsigned int width, unsigned int height) - : TensorInfo() -{ - init(hog_info, width, height); -} - void TensorInfo::init(Format format) { init(TensorShape(), format); @@ -166,20 +159,6 @@ void TensorInfo::init(const TensorShape &tensor_shape, size_t num_channels, Data _valid_region = ValidRegion{ Coordinates(), _tensor_shape }; } -void TensorInfo::init(const HOGInfo &hog_info, unsigned int width, unsigned int height) -{ - // Number of cells for each block - const Size2D num_cells_per_block = hog_info.num_cells_per_block(); - - // Tensor Size = (Number of horizontal block positions) * (Number of vertical block positions) - const Size2D num_block_positions_per_img = hog_info.num_block_positions_per_image(Size2D(width, height)); - - // Number of tensor channels = (Number of cells per block) * (Number of bins per cell) - const size_t num_channels = num_cells_per_block.area() * hog_info.num_bins(); - - init(TensorShape(num_block_positions_per_img.width, num_block_positions_per_img.height), num_channels, DataType::F32); -} - size_t TensorInfo::init_auto_padding(const TensorShape &tensor_shape, Format format) { const size_t num_channels = num_channels_from_format(format); @@ -207,20 +186,6 @@ size_t TensorInfo::init_auto_padding(const TensorShape &tensor_shape, size_t num return _total_size; } -size_t TensorInfo::init_auto_padding(const HOGInfo &hog_info, unsigned int width, unsigned int height) -{ - // Number of cells for each block - const Size2D num_cells_per_block = hog_info.num_cells_per_block(); - - // Tensor Size = (Number of horizontal block positions) * (Number of vertical block positions) - const Size2D num_block_positions_per_img = hog_info.num_block_positions_per_image(Size2D(width, height)); - - // Number of tensor channels = (Number of cells per block) * (Number of bins per cell) - const size_t num_channels = num_cells_per_block.area() * hog_info.num_bins(); - - return init_auto_padding(TensorShape(num_block_positions_per_img.width, num_block_positions_per_img.height), num_channels, DataType::F32); -} - bool TensorInfo::auto_padding() { ARM_COMPUTE_ERROR_ON(!_is_resizable); -- cgit v1.2.1