You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
53 lines
1.9 KiB
53 lines
1.9 KiB
5 years ago
|
/**
|
||
|
|
* Copyright 2020 Huawei Technologies Co., Ltd
|
||
|
|
*
|
||
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
|
* you may not use this file except in compliance with the License.
|
||
|
|
* You may obtain a copy of the License at
|
||
|
|
*
|
||
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
||
|
|
*
|
||
|
|
* Unless required by applicable law or agreed to in writing, software
|
||
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
|
* See the License for the specific language governing permissions and
|
||
|
|
* limitations under the License.
|
||
|
|
*/
|
||
|
|
|
||
|
|
#include "minddata/dataset/kernels/image/random_sharpness_op.h"
|
||
|
|
#include "common/common.h"
|
||
|
|
#include "common/cvop_common.h"
|
||
|
|
#include "utils/log_adapter.h"
|
||
|
|
#include "minddata/dataset/core/config_manager.h"
|
||
|
|
#include "minddata/dataset/core/global_context.h"
|
||
|
|
|
||
|
|
using namespace mindspore::dataset;
|
||
|
|
using mindspore::MsLogLevel::INFO;
|
||
|
|
using mindspore::ExceptionType::NoExceptionType;
|
||
|
|
using mindspore::LogStream;
|
||
|
|
|
||
|
|
class MindDataTestRandomSharpness : public UT::CVOP::CVOpCommon {
|
||
|
|
public:
|
||
|
|
MindDataTestRandomSharpness() : CVOpCommon() {}
|
||
|
|
};
|
||
|
|
|
||
|
|
TEST_F(MindDataTestRandomSharpness, TestOp) {
|
||
|
|
MS_LOG(INFO) << "Doing test RandomSharpness.";
|
||
|
|
// setting seed here
|
||
|
|
u_int32_t curr_seed = GlobalContext::config_manager()->seed();
|
||
|
|
GlobalContext::config_manager()->set_seed(120);
|
||
|
|
// Sharpness with a factor in range [0.2,1.8]
|
||
|
|
float start_degree = 0.2;
|
||
|
|
float end_degree = 1.8;
|
||
|
|
std::shared_ptr<Tensor> output_tensor;
|
||
|
|
// sharpening
|
||
|
|
std::unique_ptr<RandomSharpnessOp> op(new RandomSharpnessOp(start_degree, end_degree));
|
||
|
|
EXPECT_TRUE(op->OneToOne());
|
||
|
|
Status st = op->Compute(input_tensor_, &output_tensor);
|
||
|
|
EXPECT_TRUE(st.IsOk());
|
||
|
|
CheckImageShapeAndData(output_tensor, kRandomSharpness);
|
||
|
|
// restoring the seed
|
||
|
|
GlobalContext::config_manager()->set_seed(curr_seed);
|
||
|
|
MS_LOG(INFO) << "testRandomSharpness end.";
|
||
|
|
}
|