145 lines
10 KiB
C++
145 lines
10 KiB
C++
/*
|
|
* 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
|