John Richardson | 8de9261 | 2018-02-22 14:09:31 +0000 | [diff] [blame^] | 1 | /* |
| 2 | * Copyright (c) 2018 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef ARM_COMPUTE_TEST_OPTICAL_FLOW |
| 25 | #define ARM_COMPUTE_TEST_OPTICAL_FLOW |
| 26 | |
| 27 | #include "arm_compute/core/PyramidInfo.h" |
| 28 | #include "arm_compute/core/TensorShape.h" |
| 29 | #include "arm_compute/core/Types.h" |
| 30 | #include "tests/AssetsLibrary.h" |
| 31 | #include "tests/Globals.h" |
| 32 | #include "tests/IAccessor.h" |
| 33 | #include "tests/Types.h" |
| 34 | #include "tests/framework/Asserts.h" |
| 35 | #include "tests/framework/Fixture.h" |
| 36 | #include "tests/validation/reference/OpticalFlow.h" |
| 37 | |
| 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace test |
| 41 | { |
| 42 | namespace validation |
| 43 | { |
| 44 | template <typename TensorType, |
| 45 | typename AccessorType, |
| 46 | typename ArrayType, |
| 47 | typename ArrayAccessorType, |
| 48 | typename FunctionType, |
| 49 | typename PyramidType, |
| 50 | typename PyramidFunctionType, |
| 51 | typename T> |
| 52 | |
| 53 | class OpticalFlowValidationFixture : public framework::Fixture |
| 54 | { |
| 55 | public: |
| 56 | template <typename...> |
| 57 | void setup(std::string old_image_name, std::string new_image_name, OpticalFlowParameters params, |
| 58 | size_t num_levels, size_t num_keypoints, Format format, BorderMode border_mode) |
| 59 | { |
| 60 | std::mt19937 gen(library->seed()); |
| 61 | std::uniform_int_distribution<uint8_t> int_dist(0, 255); |
| 62 | const uint8_t constant_border_value = int_dist(gen); |
| 63 | |
| 64 | // Create keypoints |
| 65 | std::vector<KeyPoint> old_keypoints = generate_random_keypoints(library->get_image_shape(old_image_name), num_keypoints, library->seed(), num_levels); |
| 66 | std::vector<KeyPoint> new_keypoints_estimates = old_keypoints; |
| 67 | |
| 68 | _target = compute_target(old_image_name, new_image_name, params, num_levels, old_keypoints, new_keypoints_estimates, format, border_mode, constant_border_value); |
| 69 | _reference = compute_reference(old_image_name, new_image_name, params, num_levels, old_keypoints, new_keypoints_estimates, format, border_mode, constant_border_value); |
| 70 | } |
| 71 | |
| 72 | protected: |
| 73 | template <typename V> |
| 74 | void fill(V &&tensor, const std::string image, Format format) |
| 75 | { |
| 76 | library->fill(tensor, image, format); |
| 77 | } |
| 78 | |
| 79 | ArrayType compute_target(std::string old_image_name, std::string new_image_name, OpticalFlowParameters params, size_t num_levels, |
| 80 | std::vector<KeyPoint> &old_keypoints, std::vector<KeyPoint> &new_keypoints_estimates, |
| 81 | Format format, BorderMode border_mode, uint8_t constant_border_value) |
| 82 | { |
| 83 | // Get image shapes |
| 84 | TensorShape old_shape = library->get_image_shape(old_image_name); |
| 85 | TensorShape new_shape = library->get_image_shape(new_image_name); |
| 86 | |
| 87 | // Create tensors |
| 88 | auto old_image = create_tensor<TensorType>(old_shape, format); |
| 89 | auto new_image = create_tensor<TensorType>(new_shape, format); |
| 90 | |
| 91 | // Load keypoints |
| 92 | ArrayType old_points(old_keypoints.size()); |
| 93 | ArrayType new_points_estimates(new_keypoints_estimates.size()); |
| 94 | ArrayType new_points(old_keypoints.size()); |
| 95 | |
| 96 | fill_array(ArrayAccessorType(old_points), old_keypoints); |
| 97 | fill_array(ArrayAccessorType(new_points_estimates), new_keypoints_estimates); |
| 98 | |
| 99 | // Create pyramid images |
| 100 | PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, old_image.info()->tensor_shape(), format); |
| 101 | PyramidType old_pyramid = create_pyramid<PyramidType>(pyramid_info); |
| 102 | PyramidType new_pyramid = create_pyramid<PyramidType>(pyramid_info); |
| 103 | |
| 104 | // Create and configure pyramid functions |
| 105 | PyramidFunctionType old_gp; |
| 106 | old_gp.configure(&old_image, &old_pyramid, border_mode, constant_border_value); |
| 107 | |
| 108 | PyramidFunctionType new_gp; |
| 109 | new_gp.configure(&new_image, &new_pyramid, border_mode, constant_border_value); |
| 110 | |
| 111 | for(size_t i = 0; i < pyramid_info.num_levels(); ++i) |
| 112 | { |
| 113 | ARM_COMPUTE_EXPECT(old_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); |
| 114 | ARM_COMPUTE_EXPECT(new_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); |
| 115 | } |
| 116 | |
| 117 | // Create and configure optical flow function |
| 118 | FunctionType optical_flow; |
| 119 | |
| 120 | optical_flow.configure(&old_pyramid, |
| 121 | &new_pyramid, |
| 122 | &old_points, |
| 123 | &new_points_estimates, |
| 124 | &new_points, |
| 125 | params.termination, |
| 126 | params.epsilon, |
| 127 | params.num_iterations, |
| 128 | params.window_dimension, |
| 129 | params.use_initial_estimate, |
| 130 | border_mode, |
| 131 | constant_border_value); |
| 132 | |
| 133 | ARM_COMPUTE_EXPECT(old_image.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 134 | ARM_COMPUTE_EXPECT(new_image.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 135 | |
| 136 | // Allocate input tensors |
| 137 | old_image.allocator()->allocate(); |
| 138 | new_image.allocator()->allocate(); |
| 139 | |
| 140 | // Allocate pyramids |
| 141 | old_pyramid.allocate(); |
| 142 | new_pyramid.allocate(); |
| 143 | |
| 144 | ARM_COMPUTE_EXPECT(!old_image.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 145 | ARM_COMPUTE_EXPECT(!new_image.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 146 | |
| 147 | for(size_t i = 0; i < pyramid_info.num_levels(); ++i) |
| 148 | { |
| 149 | ARM_COMPUTE_EXPECT(!old_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); |
| 150 | ARM_COMPUTE_EXPECT(!new_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS); |
| 151 | } |
| 152 | |
| 153 | // Fill tensors |
| 154 | fill(AccessorType(old_image), old_image_name, format); |
| 155 | fill(AccessorType(new_image), new_image_name, format); |
| 156 | |
| 157 | // Compute functions |
| 158 | old_gp.run(); |
| 159 | new_gp.run(); |
| 160 | optical_flow.run(); |
| 161 | |
| 162 | return new_points; |
| 163 | } |
| 164 | |
| 165 | std::vector<KeyPoint> compute_reference(std::string old_image_name, std::string new_image_name, |
| 166 | OpticalFlowParameters params, size_t num_levels, |
| 167 | std::vector<KeyPoint> &old_keypoints, std::vector<KeyPoint> &new_keypoints_estimates, |
| 168 | Format format, BorderMode border_mode, uint8_t constant_border_value) |
| 169 | { |
| 170 | SimpleTensor<T> old_image{ library->get_image_shape(old_image_name), data_type_from_format(format) }; |
| 171 | SimpleTensor<T> new_image{ library->get_image_shape(new_image_name), data_type_from_format(format) }; |
| 172 | |
| 173 | fill(old_image, old_image_name, format); |
| 174 | fill(new_image, new_image_name, format); |
| 175 | |
| 176 | return reference::optical_flow<T>(old_image, new_image, params, num_levels, old_keypoints, new_keypoints_estimates, |
| 177 | border_mode, constant_border_value); |
| 178 | } |
| 179 | |
| 180 | ArrayType _target{}; |
| 181 | std::vector<KeyPoint> _reference{}; |
| 182 | }; |
| 183 | } // namespace validation |
| 184 | } // namespace test |
| 185 | } // namespace arm_compute |
| 186 | #endif /* ARM_COMPUTE_TEST_OPTICAL_FLOW */ |