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_CANNY_EDGE_FIXTURE 25 #define ARM_COMPUTE_TEST_CANNY_EDGE_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/CannyEdgeDetector.h" 35 36 namespace arm_compute 37 { 38 class CLCannyEdge; 39 class NECannyEdge; 40 41 namespace test 42 { 43 namespace validation 44 { 45 template <typename TensorType, typename AccessorType, typename ArrayType, typename FunctionType, typename T> 46 class CannyEdgeValidationFixture : public framework::Fixture 47 { 48 public: 49 template <typename...> setup(std::string image,int gradient_size,MagnitudeType norm_type,BorderMode border_mode,Format format)50 void setup(std::string image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, Format format) 51 { 52 CannyEdgeParameters params = canny_edge_parameters(); 53 54 _target = compute_target(image, gradient_size, norm_type, border_mode, format, params); 55 _reference = compute_reference(image, gradient_size, norm_type, 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(const std::string & image,int gradient_size,MagnitudeType norm_type,BorderMode border_mode,Format format,const CannyEdgeParameters & params)65 TensorType compute_target(const std::string &image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, Format format, const CannyEdgeParameters ¶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 TensorType dst = create_tensor<TensorType>(raw.shape(), format); 73 src.info()->set_format(format); 74 dst.info()->set_format(format); 75 76 // Create Canny edge configure function 77 FunctionType canny_edge; 78 canny_edge.configure(&src, &dst, params.upper_thresh, params.lower_thresh, gradient_size, static_cast<int>(norm_type) + 1, border_mode, params.constant_border_value); 79 80 ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); 81 ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); 82 83 // Allocate tensors 84 src.allocator()->allocate(); 85 dst.allocator()->allocate(); 86 87 ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); 88 ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); 89 90 // Fill tensors 91 fill(AccessorType(src), raw); 92 93 // Compute function 94 canny_edge.run(); 95 96 return dst; 97 } 98 compute_reference(const std::string & image,int gradient_size,MagnitudeType norm_type,BorderMode border_mode,Format format,const CannyEdgeParameters & params)99 SimpleTensor<T> compute_reference(const std::string &image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, Format format, const CannyEdgeParameters ¶ms) 100 { 101 ARM_COMPUTE_ERROR_ON(format != Format::U8); 102 103 // Load the image (cached by the library if loaded before) 104 const RawTensor &raw = library->get(image, format); 105 106 // Create reference 107 SimpleTensor<T> src{ raw.shape(), format }; 108 109 // Fill reference 110 fill(src, raw); 111 112 return reference::canny_edge_detector<T>(src, params.upper_thresh, params.lower_thresh, gradient_size, norm_type, border_mode, params.constant_border_value); 113 } 114 115 TensorType _target{}; 116 SimpleTensor<T> _reference{}; 117 }; 118 } // namespace validation 119 } // namespace test 120 } // namespace arm_compute 121 #endif /* ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE */ 122