1 /* 2 * Copyright (c) 2017-2018 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_HARRIS_CORNERS_FIXTURE 25 #define ARM_COMPUTE_TEST_HARRIS_CORNERS_FIXTURE 26 27 #include "arm_compute/core/TensorShape.h" 28 #include "arm_compute/core/Types.h" 29 #include "tests/AssetsLibrary.h" 30 #include "tests/Globals.h" 31 #include "tests/framework/Asserts.h" 32 #include "tests/framework/Fixture.h" 33 #include "tests/validation/Helpers.h" 34 #include "tests/validation/reference/HarrisCornerDetector.h" 35 36 namespace arm_compute 37 { 38 class CLHarrisCorners; 39 class NEHarrisCorners; 40 41 namespace test 42 { 43 namespace validation 44 { 45 template <typename TensorType, typename AccessorType, typename ArrayType, typename FunctionType, typename T> 46 class HarrisCornersValidationFixture : public framework::Fixture 47 { 48 public: 49 template <typename...> setup(std::string image,int gradient_size,int block_size,BorderMode border_mode,Format format)50 void setup(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format) 51 { 52 HarrisCornersParameters params = harris_corners_parameters(); 53 54 _target = compute_target(image, gradient_size, block_size, border_mode, format, params); 55 _reference = compute_reference(image, gradient_size, block_size, border_mode, format, params); 56 } 57 58 protected: 59 template <typename U> fill(U && tensor,RawTensor raw)60 void fill(U &&tensor, RawTensor raw) 61 { 62 library->fill(tensor, raw); 63 } 64 compute_target(std::string image,int gradient_size,int block_size,BorderMode border_mode,Format format,const HarrisCornersParameters & params)65 ArrayType compute_target(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format, const HarrisCornersParameters ¶ms) 66 { 67 // Load the image (cached by the library if loaded before) 68 const RawTensor &raw = library->get(image, format); 69 70 // Create tensors 71 TensorType src = create_tensor<TensorType>(raw.shape(), format); 72 73 // Create array of keypoints 74 ArrayType corners(raw.shape().total_size()); 75 76 // Create harris corners configure function 77 FunctionType harris_corners; 78 harris_corners.configure(&src, params.threshold, params.min_dist, params.sensitivity, gradient_size, block_size, &corners, border_mode, params.constant_border_value); 79 80 ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); 81 82 // Allocate tensors 83 src.allocator()->allocate(); 84 85 ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); 86 87 // Fill tensors 88 fill(AccessorType(src), raw); 89 90 // Compute function 91 harris_corners.run(); 92 93 return corners; 94 } 95 compute_reference(std::string image,int gradient_size,int block_size,BorderMode border_mode,Format format,const HarrisCornersParameters & params)96 std::vector<KeyPoint> compute_reference(std::string image, int gradient_size, int block_size, BorderMode border_mode, Format format, const HarrisCornersParameters ¶ms) 97 { 98 // Load the image (cached by the library if loaded before) 99 const RawTensor &raw = library->get(image, format); 100 // Create reference 101 SimpleTensor<T> src{ raw.shape(), format }; 102 103 // Fill reference 104 fill(src, raw); 105 106 return reference::harris_corner_detector<T>(src, params.threshold, params.min_dist, params.sensitivity, gradient_size, block_size, border_mode, params.constant_border_value); 107 } 108 109 ArrayType _target{}; 110 std::vector<KeyPoint> _reference{}; 111 }; 112 } // namespace validation 113 } // namespace test 114 } // namespace arm_compute 115 #endif /* ARM_COMPUTE_TEST_HARRIS_CORNERS_FIXTURE */ 116