| /* |
| * Copyright (c) 2018 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. |
| */ |
| #ifndef ARM_COMPUTE_TEST_HOG_DETECTOR_FIXTURE |
| #define ARM_COMPUTE_TEST_HOG_DETECTOR_FIXTURE |
| |
| #include "arm_compute/core/HOGInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/IHOGAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/fixtures/HOGDescriptorFixture.h" |
| #include "tests/validation/reference/HOGDetector.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, |
| typename HOGType, |
| typename DetectionWindowArrayType, |
| typename HOGDescriptorType, |
| typename AccessorType, |
| typename ArrayAccessorType, |
| typename HOGAccessorType, |
| typename HOGDetectorType, |
| typename T, |
| typename U> |
| class HOGDetectorValidationFixture : public HOGDescriptorValidationFixture<TensorType, HOGType, AccessorType, HOGDescriptorType, T, U> |
| { |
| public: |
| template <typename...> |
| void setup(Size2D detection_window_stride, std::string image, HOGInfo hog_info, Format format, BorderMode border_mode) |
| { |
| using HDF = HOGDescriptorValidationFixture<TensorType, HOGType, AccessorType, HOGDescriptorType, T, U>; |
| HDF::setup(image, hog_info, format, border_mode); |
| |
| const unsigned int max_num_detection_windows = 100000; |
| |
| // Initialise descriptor (linear SVM coefficients). |
| // NOTE: Fixed values are used to keep the number of detection windows detected |
| // consistent in order to have meaningful validation tolerances. |
| // The values are "unbalanced" to reduce the number of detected objects |
| std::random_device::result_type seed = 0; |
| std::vector<U> descriptor = generate_random_real(hog_info.descriptor_size(), -0.505f, 0.495f, seed); |
| |
| // Compute target and reference values using feature vector from descriptor kernel |
| _target = compute_target(HDF::_target, descriptor, max_num_detection_windows, hog_info, detection_window_stride); |
| _reference = compute_reference(HDF::_reference, descriptor, max_num_detection_windows, hog_info, detection_window_stride); |
| } |
| |
| protected: |
| std::vector<DetectionWindow> compute_target(const TensorType &src, const std::vector<U> &descriptor, unsigned int max_num_detection_windows, |
| const HOGInfo &hog_info, const Size2D &detection_window_stride) |
| { |
| // Create HOG |
| HOGType hog = create_HOG<HOGType>(hog_info); |
| |
| // Create array of detection windows |
| DetectionWindowArrayType detection_windows(max_num_detection_windows); |
| |
| // Copy HOG descriptor values to HOG memory |
| { |
| HOGAccessorType hog_accessor(hog); |
| std::memcpy(hog_accessor.descriptor(), descriptor.data(), descriptor.size() * sizeof(U)); |
| } |
| |
| // Create and configure function |
| HOGDetectorType hog_detector; |
| hog_detector.configure(&src, &hog, &detection_windows, detection_window_stride); |
| |
| // Reset detection windows |
| detection_windows.clear(); |
| |
| // Compute function |
| hog_detector.run(); |
| |
| // Create array of detection windows |
| std::vector<DetectionWindow> windows; |
| |
| // Copy detection windows |
| ArrayAccessorType accessor(detection_windows); |
| |
| for(size_t i = 0; i < accessor.num_values(); i++) |
| { |
| DetectionWindow win; |
| win.x = accessor.at(i).x; |
| win.y = accessor.at(i).y; |
| win.width = accessor.at(i).width; |
| win.height = accessor.at(i).height; |
| win.idx_class = accessor.at(i).idx_class; |
| win.score = accessor.at(i).score; |
| |
| windows.push_back(win); |
| } |
| |
| return windows; |
| } |
| |
| std::vector<DetectionWindow> compute_reference(const SimpleTensor<U> &src, const std::vector<U> &descriptor, unsigned int max_num_detection_windows, |
| const HOGInfo &hog_info, const Size2D &detection_window_stride) |
| { |
| // Assumes defaults value of zero for threshold and class_idx. |
| return reference::hog_detector(src, descriptor, max_num_detection_windows, hog_info, detection_window_stride); |
| } |
| |
| std::vector<DetectionWindow> _target{}; |
| std::vector<DetectionWindow> _reference{}; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_HOG_DETECTOR_FIXTURE */ |