John Richardson | ec4c320 | 2018-05-18 13:25:52 +0100 | [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_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_OPTICAL_FLOW_FIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "tests/Globals.h" |
| 30 | #include "tests/Types.h" |
| 31 | #include "tests/Utils.h" |
| 32 | #include "tests/framework/Fixture.h" |
| 33 | |
| 34 | namespace arm_compute |
| 35 | { |
| 36 | namespace test |
| 37 | { |
| 38 | namespace benchmark |
| 39 | { |
| 40 | template <typename TensorType, |
| 41 | typename Function, |
| 42 | typename Accessor, |
| 43 | typename ArrayType, |
| 44 | typename ArrayAccessor, |
| 45 | typename PyramidType, |
| 46 | typename PyramidFunctionType> |
| 47 | class OpticalFlowFixture : public framework::Fixture |
| 48 | { |
| 49 | public: |
| 50 | template <typename...> |
| 51 | void setup(std::string old_image_name, std::string new_image_name, OpticalFlowParameters params, |
| 52 | size_t num_levels, size_t num_keypoints, Format format, BorderMode border_mode) |
| 53 | { |
| 54 | const uint8_t constant_border_value = 0; |
| 55 | const std::random_device::result_type seed = 0; |
| 56 | |
| 57 | // Create keypoints |
| 58 | old_keypoints = generate_random_keypoints(library->get_image_shape(old_image_name), num_keypoints, seed, num_levels); |
| 59 | new_keypoints_estimates = old_keypoints; |
| 60 | |
| 61 | // Create tensors |
| 62 | old_image = create_tensor<TensorType>(library->get_image_shape(old_image_name), format); |
| 63 | new_image = create_tensor<TensorType>(library->get_image_shape(new_image_name), format); |
| 64 | |
| 65 | // Load keypoints |
| 66 | fill_array(ArrayAccessor(old_points), old_keypoints); |
| 67 | fill_array(ArrayAccessor(new_points_estimates), new_keypoints_estimates); |
| 68 | |
| 69 | // Create pyramid images |
| 70 | PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, old_image.info()->tensor_shape(), format); |
| 71 | old_pyramid = create_pyramid<PyramidType>(pyramid_info); |
| 72 | new_pyramid = create_pyramid<PyramidType>(pyramid_info); |
| 73 | |
| 74 | // Create and configure pyramid functions |
| 75 | old_gaussian_pyramid_func.configure(&old_image, &old_pyramid, border_mode, constant_border_value); |
| 76 | new_gaussian_pyramid_func.configure(&new_image, &new_pyramid, border_mode, constant_border_value); |
| 77 | |
| 78 | optical_flow_func.configure(&old_pyramid, |
| 79 | &new_pyramid, |
| 80 | &old_points, |
| 81 | &new_points_estimates, |
| 82 | &new_points, |
| 83 | params.termination, |
| 84 | params.epsilon, |
| 85 | params.num_iterations, |
| 86 | params.window_dimension, |
| 87 | params.use_initial_estimate, |
| 88 | border_mode, |
| 89 | constant_border_value); |
| 90 | |
| 91 | // Allocate input tensors |
| 92 | old_image.allocator()->allocate(); |
| 93 | new_image.allocator()->allocate(); |
| 94 | |
| 95 | // Allocate pyramids |
| 96 | old_pyramid.allocate(); |
| 97 | new_pyramid.allocate(); |
| 98 | |
| 99 | // Copy image data to tensors |
| 100 | library->fill(Accessor(old_image), old_image_name, format); |
| 101 | library->fill(Accessor(new_image), new_image_name, format); |
| 102 | |
| 103 | // Compute gaussian pyramids |
| 104 | old_gaussian_pyramid_func.run(); |
| 105 | new_gaussian_pyramid_func.run(); |
| 106 | } |
| 107 | |
| 108 | void run() |
| 109 | { |
| 110 | optical_flow_func.run(); |
| 111 | } |
| 112 | |
| 113 | void sync() |
| 114 | { |
| 115 | sync_if_necessary<TensorType>(); |
| 116 | } |
| 117 | |
| 118 | void teardown() |
| 119 | { |
| 120 | old_image.allocator()->free(); |
| 121 | new_image.allocator()->free(); |
| 122 | } |
| 123 | |
| 124 | private: |
| 125 | static const size_t max_keypoints = 10000; |
| 126 | |
| 127 | std::vector<KeyPoint> old_keypoints{}; |
| 128 | std::vector<KeyPoint> new_keypoints_estimates{}; |
| 129 | |
| 130 | TensorType old_image{}; |
| 131 | TensorType new_image{}; |
| 132 | |
| 133 | ArrayType old_points{ max_keypoints }; |
| 134 | ArrayType new_points{ max_keypoints }; |
| 135 | ArrayType new_points_estimates{ max_keypoints }; |
| 136 | |
| 137 | PyramidType old_pyramid{}; |
| 138 | PyramidType new_pyramid{}; |
| 139 | |
| 140 | PyramidFunctionType old_gaussian_pyramid_func{}; |
| 141 | PyramidFunctionType new_gaussian_pyramid_func{}; |
| 142 | |
| 143 | Function optical_flow_func{}; |
| 144 | }; |
| 145 | } // namespace benchmark |
| 146 | } // namespace test |
| 147 | } // namespace arm_compute |
| 148 | #endif /* ARM_COMPUTE_TEST_OPTICAL_FLOW_FIXTURE */ |