| /* |
| * Copyright (c) 2019 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. |
| */ |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CPP/functions/CPPNonMaximumSuppression.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/NEON/Accessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/NonMaxSuppressionFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| const auto max_output_boxes_dataset = framework::dataset::make("MaxOutputBoxes", 1, 10); |
| const auto score_threshold_dataset = framework::dataset::make("ScoreThreshold", { 0.1f, 0.5f, 0.f, 1.f }); |
| const auto iou_nms_threshold_dataset = framework::dataset::make("NMSThreshold", { 0.1f, 0.5f, 0.f, 1.f }); |
| const auto NMSParametersSmall = datasets::Small2DNonMaxSuppressionShapes() * max_output_boxes_dataset * score_threshold_dataset * iou_nms_threshold_dataset; |
| const auto NMSParametersBig = datasets::Large2DNonMaxSuppressionShapes() * max_output_boxes_dataset * score_threshold_dataset * iou_nms_threshold_dataset; |
| |
| } // namespace |
| |
| TEST_SUITE(CPP) |
| TEST_SUITE(NMS) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( |
| framework::dataset::make("BoundingBox",{ |
| TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| TensorInfo(TensorShape(1U, 4U, 2U), 1, DataType::F32), // invalid shape |
| TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), // invalid data type |
| TensorInfo(TensorShape(4U, 3U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 66U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| }), |
| framework::dataset::make("Scores", { |
| TensorInfo(TensorShape(100U), 1, DataType::F32), |
| TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), // invalid shape |
| TensorInfo(TensorShape(4U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U), 1, DataType::U8), // invalid data type |
| TensorInfo(TensorShape(66U), 1, DataType::F32), // invalid data type |
| TensorInfo(TensorShape(100U), 1, DataType::F32), |
| TensorInfo(TensorShape(100U), 1, DataType::F32), |
| TensorInfo(TensorShape(100U), 1, DataType::F32), |
| TensorInfo(TensorShape(100U), 1, DataType::F32), |
| TensorInfo(TensorShape(100U), 1, DataType::F32), |
| })), |
| framework::dataset::make("Indices", { |
| TensorInfo(TensorShape(100U), 1, DataType::S32), |
| TensorInfo(TensorShape(100U), 1, DataType::S32), |
| TensorInfo(TensorShape(4U), 1, DataType::S32), |
| TensorInfo(TensorShape(3U), 1, DataType::S32), |
| TensorInfo(TensorShape(200U), 1, DataType::S32), // indices bigger than max bbs, OK because max_output is 66 |
| TensorInfo(TensorShape(100U), 1, DataType::F32), // invalid data type |
| TensorInfo(TensorShape(100U), 1, DataType::S32), |
| TensorInfo(TensorShape(100U), 1, DataType::S32), |
| TensorInfo(TensorShape(100U), 1, DataType::S32), |
| TensorInfo(TensorShape(100U), 1, DataType::S32), |
| |
| })), |
| framework::dataset::make("max_output", { |
| 10U, 2U,4U, 3U,66U, 1U, |
| 0U, /* invalid, must be greater than 0 */ |
| 10000U, /* OK, clamped to indices' size */ |
| 100U, |
| 10U, |
| })), |
| framework::dataset::make("score_threshold", { |
| 0.1f, 0.4f, 0.2f,0.8f,0.3f, 0.01f, 0.5f, 0.45f, |
| -1.f, /* invalid value, must be in [0,1] */ |
| 0.5f, |
| })), |
| framework::dataset::make("nms_threshold", { |
| 0.3f, 0.7f, 0.1f,0.13f,0.2f, 0.97f, 0.76f, 0.87f, 0.1f, |
| 10.f, /* invalid value, must be in [0,1]*/ |
| })), |
| framework::dataset::make("Expected", { |
| true, false, false, false, true, false, false,true, false, false |
| })), |
| |
| bbox_info, scores_info, indices_info, max_out, score_threshold, nms_threshold, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(CPPNonMaximumSuppression::validate(&bbox_info.clone()->set_is_resizable(false), |
| &scores_info.clone()->set_is_resizable(false), |
| &indices_info.clone()->set_is_resizable(false), |
| max_out,score_threshold,nms_threshold)) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| using CPPNonMaxSuppressionFixture = NMSValidationFixture<Tensor, Accessor, CPPNonMaximumSuppression>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CPPNonMaxSuppressionFixture, framework::DatasetMode::PRECOMMIT, NMSParametersSmall) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CPPNonMaxSuppressionFixture, framework::DatasetMode::NIGHTLY, NMSParametersBig) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| |
| TEST_SUITE_END() // NMS |
| TEST_SUITE_END() // CPP |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
