diff options
Diffstat (limited to 'tests/validation_old')
-rw-r--r-- | tests/validation_old/CL/WarpPerspective.cpp | 208 | ||||
-rw-r--r-- | tests/validation_old/NEON/WarpPerspective.cpp | 209 | ||||
-rw-r--r-- | tests/validation_old/Reference.cpp | 16 | ||||
-rw-r--r-- | tests/validation_old/Reference.h | 13 | ||||
-rw-r--r-- | tests/validation_old/ReferenceCPP.cpp | 10 | ||||
-rw-r--r-- | tests/validation_old/ReferenceCPP.h | 11 | ||||
-rw-r--r-- | tests/validation_old/TensorOperations.h | 126 |
7 files changed, 0 insertions, 593 deletions
diff --git a/tests/validation_old/CL/WarpPerspective.cpp b/tests/validation_old/CL/WarpPerspective.cpp deleted file mode 100644 index 3d3da7a23e..0000000000 --- a/tests/validation_old/CL/WarpPerspective.cpp +++ /dev/null @@ -1,208 +0,0 @@ -/* - * Copyright (c) 2017 ARM Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "CL/CLAccessor.h" -#include "PaddingCalculator.h" -#include "Utils.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/validation_old/Datasets.h" -#include "tests/validation_old/Helpers.h" -#include "tests/validation_old/Reference.h" -#include "tests/validation_old/Validation.h" -#include "tests/validation_old/ValidationUserConfiguration.h" -#include "utils/TypePrinter.h" - -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/CL/functions/CLWarpPerspective.h" -#include "arm_compute/runtime/Tensor.h" -#include "arm_compute/runtime/TensorAllocator.h" - -#include "tests/validation_old/boost_wrapper.h" - -#include <random> -#include <string> - -using namespace arm_compute; -using namespace arm_compute::test; -using namespace arm_compute::test::validation; - -namespace -{ -/** Compute Warp Perspective function. - * - * @param[in] input Shape of the input and output tensors. - * @param[in] matrix The perspective matrix. Must be 3x3 of type float. - * @param[in] policy The interpolation type. - * @param[in] border_mode Strategy to use for borders. - * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT. - * - * @return Computed output tensor. - */ -CLTensor compute_warp_perspective(const TensorShape &shape, const float *matrix, InterpolationPolicy policy, - BorderMode border_mode, uint8_t constant_border_value) -{ - // Create tensors - CLTensor src = create_tensor<CLTensor>(shape, DataType::U8); - CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8); - - // Create and configure function - CLWarpPerspective warp_perspective; - warp_perspective.configure(&src, &dst, matrix, policy, border_mode, constant_border_value); - - // Allocate tensors - src.allocator()->allocate(); - dst.allocator()->allocate(); - - BOOST_TEST(!src.info()->is_resizable()); - BOOST_TEST(!dst.info()->is_resizable()); - - // Fill tensors - library->fill_tensor_uniform(CLAccessor(src), 0); - - // Compute function - warp_perspective.run(); - - return dst; -} -} // namespace - -#ifndef DOXYGEN_SKIP_THIS -BOOST_AUTO_TEST_SUITE(CL) -BOOST_AUTO_TEST_SUITE(WarpPerspective) - -BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) -BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) - * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) * BorderModes(), - shape, policy, border_mode) -{ - uint8_t constant_border_value = 0; - - // Generate a random constant value if border_mode is constant - if(border_mode == BorderMode::CONSTANT) - { - std::mt19937 gen(user_config.seed.get()); - std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); - constant_border_value = distribution_u8(gen); - } - - std::array<float, 9> matrix; - fill_warp_matrix<9>(matrix, 3, 3); - - // Create tensors - CLTensor src = create_tensor<CLTensor>(shape, DataType::U8); - CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8); - - BOOST_TEST(src.info()->is_resizable()); - BOOST_TEST(dst.info()->is_resizable()); - - // Create and configure function - CLWarpPerspective warp_perspective; - warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value); - - // Validate valid region - const ValidRegion valid_region = shape_to_valid_region(shape); - - validate(src.info()->valid_region(), valid_region); - validate(dst.info()->valid_region(), valid_region); - - // Validate padding - PaddingCalculator calculator(shape.x(), 4); - calculator.set_border_mode(border_mode); - - const PaddingSize read_padding(1); - const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER); - - validate(src.info()->padding(), read_padding); - validate(dst.info()->padding(), write_padding); -} - -BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) -BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() - * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) - * BorderModes(), - shape, policy, border_mode) -{ - uint8_t constant_border_value = 0; - - // Generate a random constant value if border_mode is constant - if(border_mode == BorderMode::CONSTANT) - { - std::mt19937 gen(user_config.seed.get()); - std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); - constant_border_value = distribution_u8(gen); - } - - // Create the valid mask Tensor - RawTensor valid_mask(shape, DataType::U8); - - // Create the matrix - std::array<float, 9> matrix; - fill_warp_matrix<9>(matrix, 3, 3); - - // Compute function - CLTensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value); - - // Compute reference - RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value); - - // Validate output - validate(CLAccessor(dst), ref_dst, valid_mask, 1, 0.2f); -} - -BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) -BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() - * boost::unit_test::data::make({ InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR }) * BorderModes(), - shape, policy, border_mode) -{ - uint8_t constant_border_value = 0; - - // Generate a random constant value if border_mode is constant - if(border_mode == BorderMode::CONSTANT) - { - std::mt19937 gen(user_config.seed.get()); - std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); - constant_border_value = distribution_u8(gen); - } - - // Create the valid mask Tensor - RawTensor valid_mask(shape, DataType::U8); - - // Create the matrix - std::array<float, 9> matrix; - fill_warp_matrix<9>(matrix, 3, 3); - - // Compute function - CLTensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value); - - // Compute reference - RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value); - - // Validate output - validate(CLAccessor(dst), ref_dst, valid_mask, 1, 0.2f); -} - -BOOST_AUTO_TEST_SUITE_END() -BOOST_AUTO_TEST_SUITE_END() -#endif /* DOXYGEN_SKIP_THIS */ diff --git a/tests/validation_old/NEON/WarpPerspective.cpp b/tests/validation_old/NEON/WarpPerspective.cpp deleted file mode 100644 index 97bda1eed8..0000000000 --- a/tests/validation_old/NEON/WarpPerspective.cpp +++ /dev/null @@ -1,209 +0,0 @@ -/* - * Copyright (c) 2017 ARM Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "NEON/Accessor.h" -#include "PaddingCalculator.h" -#include "Utils.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/validation_old/Datasets.h" -#include "tests/validation_old/Helpers.h" -#include "tests/validation_old/Reference.h" -#include "tests/validation_old/Validation.h" -#include "tests/validation_old/ValidationUserConfiguration.h" -#include "utils/TypePrinter.h" - -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/NEON/functions/NEWarpPerspective.h" -#include "arm_compute/runtime/Tensor.h" -#include "arm_compute/runtime/TensorAllocator.h" - -#include "tests/validation_old/boost_wrapper.h" - -#include <random> -#include <string> - -using namespace arm_compute; -using namespace arm_compute::test; -using namespace arm_compute::test::validation; - -namespace -{ -/** Compute Warp Perspective function. - * - * @param[in] input Shape of the input and output tensors. - * @param[in] matrix The perspective matrix. Must be 3x3 of type float. - * @param[in] policy The interpolation type. - * @param[in] border_mode Strategy to use for borders. - * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT. - * - * @return Computed output tensor. - */ -Tensor compute_warp_perspective(const TensorShape &shape, const float *matrix, InterpolationPolicy policy, - BorderMode border_mode, uint8_t constant_border_value) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, DataType::U8); - Tensor dst = create_tensor<Tensor>(shape, DataType::U8); - - // Create and configure function - NEWarpPerspective warp_perspective; - warp_perspective.configure(&src, &dst, matrix, policy, border_mode, constant_border_value); - - // Allocate tensors - src.allocator()->allocate(); - dst.allocator()->allocate(); - - BOOST_TEST(!src.info()->is_resizable()); - BOOST_TEST(!dst.info()->is_resizable()); - - // Fill tensors - library->fill_tensor_uniform(Accessor(src), 0); - - // Compute function - warp_perspective.run(); - - return dst; -} -} // namespace - -#ifndef DOXYGEN_SKIP_THIS -BOOST_AUTO_TEST_SUITE(NEON) -BOOST_AUTO_TEST_SUITE(WarpPerspective) - -BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) -BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) - * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) * BorderModes(), - shape, policy, border_mode) -{ - uint8_t constant_border_value = 0; - - // Generate a random constant value if border_mode is constant - if(border_mode == BorderMode::CONSTANT) - { - std::mt19937 gen(user_config.seed.get()); - std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); - constant_border_value = distribution_u8(gen); - } - - // Create the matrix - std::array<float, 9> matrix; - fill_warp_matrix<9>(matrix, 3, 3); - - // Create tensors - Tensor src = create_tensor<Tensor>(shape, DataType::U8); - Tensor dst = create_tensor<Tensor>(shape, DataType::U8); - - BOOST_TEST(src.info()->is_resizable()); - BOOST_TEST(dst.info()->is_resizable()); - - // Create and configure function - NEWarpPerspective warp_perspective; - warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value); - - // Validate valid region - const ValidRegion valid_region = shape_to_valid_region(shape); - - validate(src.info()->valid_region(), valid_region); - validate(dst.info()->valid_region(), valid_region); - - // Validate padding - PaddingCalculator calculator(shape.x(), 1); - calculator.set_border_mode(border_mode); - calculator.set_border_size(1); - - const PaddingSize read_padding(1); - const PaddingSize write_padding = calculator.required_padding(); - - validate(src.info()->padding(), read_padding); - validate(dst.info()->padding(), write_padding); -} - -BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) -BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() - * boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) - * BorderModes(), - shape, policy, border_mode) -{ - uint8_t constant_border_value = 0; - - // Generate a random constant value if border_mode is constant - if(border_mode == BorderMode::CONSTANT) - { - std::mt19937 gen(user_config.seed.get()); - std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); - constant_border_value = distribution_u8(gen); - } - - // Create the valid mask Tensor - RawTensor valid_mask(shape, DataType::U8); - - // Create the matrix - std::array<float, 9> matrix; - fill_warp_matrix<9>(matrix, 3, 3); - - // Compute function - Tensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value); - - // Compute reference - RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value); - - // Validate output - validate(Accessor(dst), ref_dst, valid_mask, 1, 0.2f); -} -BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) -BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() - * boost::unit_test::data::make({ InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR }) * BorderModes(), - shape, policy, border_mode) -{ - uint8_t constant_border_value = 0; - - // Generate a random constant value if border_mode is constant - if(border_mode == BorderMode::CONSTANT) - { - std::mt19937 gen(user_config.seed.get()); - std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); - constant_border_value = distribution_u8(gen); - } - - // Create the valid mask Tensor - RawTensor valid_mask(shape, DataType::U8); - - // Create the matrix - std::array<float, 9> matrix; - fill_warp_matrix<9>(matrix, 3, 3); - - // Compute function - Tensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value); - - // Compute reference - RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value); - - // Validate output - validate(Accessor(dst), ref_dst, valid_mask, 1, 0.2f); -} - -BOOST_AUTO_TEST_SUITE_END() -BOOST_AUTO_TEST_SUITE_END() -#endif /* DOXYGEN_SKIP_THIS */ diff --git a/tests/validation_old/Reference.cpp b/tests/validation_old/Reference.cpp index 0331ccefca..a3beee5906 100644 --- a/tests/validation_old/Reference.cpp +++ b/tests/validation_old/Reference.cpp @@ -164,22 +164,6 @@ RawTensor Reference::compute_reference_fixed_point_pixel_wise_multiplication(con return ref_dst; } -RawTensor Reference::compute_reference_warp_perspective(const TensorShape &shape, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, - uint8_t constant_border_value) -{ - // Create reference - RawTensor ref_src(shape, DataType::U8); - RawTensor ref_dst(shape, DataType::U8); - - // Fill reference - library->fill_tensor_uniform(ref_src, 0); - - // Compute reference - ReferenceCPP::warp_perspective(ref_src, ref_dst, valid_mask, matrix, policy, border_mode, constant_border_value); - - return ref_dst; -} - RawTensor Reference::compute_reference_roi_pooling_layer(const TensorShape &shape, DataType dt, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info) { TensorShape shape_dst; diff --git a/tests/validation_old/Reference.h b/tests/validation_old/Reference.h index 7b3de11e01..724f9505b8 100644 --- a/tests/validation_old/Reference.h +++ b/tests/validation_old/Reference.h @@ -118,19 +118,6 @@ public: */ static RawTensor compute_reference_fixed_point_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, int fixed_point_position, ConvertPolicy convert_policy, RoundingPolicy rounding_policy); - /** Compute reference Warp Perspective. - * - * @param[in] shape Shape of the input and output tensors. - * @param[out] valid_mask Valid mask tensor. - * @param[in] matrix The perspective matrix. Must be 3x3 of type float. - * @param[in] policy The interpolation type. - * @param[in] border_mode Strategy to use for borders. - * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT. - * - * @return Computed raw tensor. - */ - static RawTensor compute_reference_warp_perspective(const TensorShape &shape, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, - uint8_t constant_border_value); /** Compute reference roi pooling layer. * * @param[in] shape Shape of the input tensor. diff --git a/tests/validation_old/ReferenceCPP.cpp b/tests/validation_old/ReferenceCPP.cpp index 0ea3032d81..c48de36902 100644 --- a/tests/validation_old/ReferenceCPP.cpp +++ b/tests/validation_old/ReferenceCPP.cpp @@ -157,16 +157,6 @@ void ReferenceCPP::threshold(const RawTensor &src, RawTensor &dst, uint8_t thres tensor_operations::threshold(s, d, threshold, false_value, true_value, type, upper); } -// Warp perspective -void ReferenceCPP::warp_perspective(const RawTensor &src, RawTensor &dst, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value) -{ - ARM_COMPUTE_ERROR_ON(src.data_type() != DataType::U8 || dst.data_type() != DataType::U8); - const Tensor<uint8_t> s(src.shape(), src.data_type(), src.fixed_point_position(), reinterpret_cast<const uint8_t *>(src.data())); - Tensor<uint8_t> d(dst.shape(), dst.data_type(), dst.fixed_point_position(), reinterpret_cast<uint8_t *>(dst.data())); - Tensor<uint8_t> vmask(valid_mask.shape(), valid_mask.data_type(), valid_mask.fixed_point_position(), reinterpret_cast<uint8_t *>(valid_mask.data())); - tensor_operations::warp_perspective(s, d, vmask, matrix, policy, border_mode, constant_border_value); -} - // ROI Pooling Layer void ReferenceCPP::roi_pooling_layer(const RawTensor &src, RawTensor &dst, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info) { diff --git a/tests/validation_old/ReferenceCPP.h b/tests/validation_old/ReferenceCPP.h index 039d0b627e..1adf59dc9d 100644 --- a/tests/validation_old/ReferenceCPP.h +++ b/tests/validation_old/ReferenceCPP.h @@ -140,17 +140,6 @@ public: * @param[in] upper Upper threshold. Only used when the thresholding type is RANGE. */ static void threshold(const RawTensor &src, RawTensor &dst, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper); - /** Warp perspective of@p src to @p dst - * - * @param[in] src First tensor. - * @param[out] dst Result tensor. - * @param[out] valid_mask Valid mask tensor. - * @param[in] matrix The perspective matrix. Must be 3x3 of type float. - * @param[in] policy The interpolation type. - * @param[in] border_mode Strategy to use for borders. - * @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT. - */ - static void warp_perspective(const RawTensor &src, RawTensor &dst, RawTensor &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value); /** ROI Pooling layer of @p src based on the information from @p pool_info and @p rois. * * @param[in] src Input tensor. diff --git a/tests/validation_old/TensorOperations.h b/tests/validation_old/TensorOperations.h index bba09175ca..2b326930f6 100644 --- a/tests/validation_old/TensorOperations.h +++ b/tests/validation_old/TensorOperations.h @@ -118,46 +118,6 @@ void apply_2d_spatial_filter(Coordinates coord, const Tensor<T1> &in, Tensor<T3> } } // namespace -template <typename T> -T bilinear_policy(const Tensor<T> &in, Coordinates id, float xn, float yn, BorderMode border_mode, uint8_t constant_border_value) -{ - int idx = std::floor(xn); - int idy = std::floor(yn); - - const float dx = xn - idx; - const float dy = yn - idy; - const float dx_1 = 1.0f - dx; - const float dy_1 = 1.0f - dy; - - id.set(0, idx); - id.set(1, idy); - const T tl = tensor_elem_at(in, id, border_mode, constant_border_value); - id.set(0, idx + 1); - id.set(1, idy); - const T tr = tensor_elem_at(in, id, border_mode, constant_border_value); - id.set(0, idx); - id.set(1, idy + 1); - const T bl = tensor_elem_at(in, id, border_mode, constant_border_value); - id.set(0, idx + 1); - id.set(1, idy + 1); - const T br = tensor_elem_at(in, id, border_mode, constant_border_value); - - return tl * (dx_1 * dy_1) + tr * (dx * dy_1) + bl * (dx_1 * dy) + br * (dx * dy); -} - -bool valid_bilinear_policy(float xn, float yn, int width, int height, BorderMode border_mode) -{ - if(border_mode != BorderMode::UNDEFINED) - { - return true; - } - if((0 <= yn + 1) && (yn + 1 < height) && (0 <= xn + 1) && (xn + 1 < width)) - { - return true; - } - return false; -} - // Sobel 3x3 template <typename T1, typename T2> void sobel_3x3(Tensor<T1> &in, Tensor<T2> &out_x, Tensor<T2> &out_y, BorderMode border_mode, uint8_t constant_border_value) @@ -677,92 +637,6 @@ void threshold(const Tensor<T> &in, Tensor<T> &out, uint8_t threshold, uint8_t f } } -// Warp Perspective -template <typename T> -void warp_perspective(const Tensor<T> &in, Tensor<T> &out, Tensor<T> &valid_mask, const float *matrix, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value) -{ - // x0 = M00 * x + M01 * y + M02 - // y0 = M10 * x + M11 * y + M12 - // z0 = M20 * x + M21 * y + M22 - // xn = x0 / z0 - // yn = y0 / z0 - const float M00 = matrix[0]; - const float M10 = matrix[1]; - const float M20 = matrix[2]; - const float M01 = matrix[0 + 1 * 3]; - const float M11 = matrix[1 + 1 * 3]; - const float M21 = matrix[2 + 1 * 3]; - const float M02 = matrix[0 + 2 * 3]; - const float M12 = matrix[1 + 2 * 3]; - const float M22 = matrix[2 + 2 * 3]; - - const int width = in.shape().x(); - const int height = in.shape().y(); - - for(int element_idx = 0; element_idx < in.num_elements(); ++element_idx) - { - valid_mask[element_idx] = 1; - Coordinates id = index2coord(in.shape(), element_idx); - int idx = id.x(); - int idy = id.y(); - const float z0 = M20 * idx + M21 * idy + M22; - - float x0 = (M00 * idx + M01 * idy + M02); - float y0 = (M10 * idx + M11 * idy + M12); - - float xn = x0 / z0; - float yn = y0 / z0; - id.set(0, static_cast<int>(std::floor(xn))); - id.set(1, static_cast<int>(std::floor(yn))); - if((0 <= yn) && (yn < height) && (0 <= xn) && (xn < width)) - { - switch(policy) - { - case InterpolationPolicy::NEAREST_NEIGHBOR: - out[element_idx] = tensor_elem_at(in, id, border_mode, constant_border_value); - break; - case InterpolationPolicy::BILINEAR: - (valid_bilinear_policy(xn, yn, width, height, border_mode)) ? out[element_idx] = bilinear_policy(in, id, xn, yn, border_mode, constant_border_value) : valid_mask[element_idx] = 0; - break; - case InterpolationPolicy::AREA: - default: - ARM_COMPUTE_ERROR("Interpolation not supported"); - } - } - else - { - if(border_mode == BorderMode::UNDEFINED) - { - valid_mask[element_idx] = 0; - } - else - { - switch(policy) - { - case InterpolationPolicy::NEAREST_NEIGHBOR: - if(border_mode == BorderMode::CONSTANT) - { - out[element_idx] = constant_border_value; - } - else if(border_mode == BorderMode::REPLICATE) - { - id.set(0, std::max(0, std::min(static_cast<int>(xn), width - 1))); - id.set(1, std::max(0, std::min(static_cast<int>(yn), height - 1))); - out[element_idx] = in[coord2index(in.shape(), id)]; - } - break; - case InterpolationPolicy::BILINEAR: - out[element_idx] = bilinear_policy(in, id, xn, yn, border_mode, constant_border_value); - break; - case InterpolationPolicy::AREA: - default: - ARM_COMPUTE_ERROR("Interpolation not supported"); - } - } - } - } -} - // ROI Pooling layer template <typename T> void roi_pooling_layer(const Tensor<T> &in, Tensor<T> &out, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info) |