/** * Copyright 2019 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 "common/common.h" #include "common/cvop_common.h" #include "dataset/kernels/image/rescale_op.h" #include "utils/log_adapter.h" using namespace mindspore::dataset; using mindspore::MsLogLevel::INFO; using mindspore::ExceptionType::NoExceptionType; using mindspore::LogStream; class MindDataTestRescaleOp : public UT::CVOP::CVOpCommon { public: MindDataTestRescaleOp() : CVOpCommon() {} }; TEST_F(MindDataTestRescaleOp, TestOp) { // Rescale Factor float rescale = 1.0 / 255; float shift = 1.0; std::unique_ptr op(new RescaleOp(rescale, shift)); std::shared_ptr output_tensor; Status s = op->Compute(input_tensor_, &output_tensor); EXPECT_TRUE(op->OneToOne()); EXPECT_TRUE(s.IsOk()); // The rescaled image becomes CV_32FC3, saving it as JPEG // will result in a black image since opencv converts it to int // This function is still good to have since it checks the shape // but to check the data, its better and easier to do this // check in python test. CheckImageShapeAndData(output_tensor, kRescale); MS_LOG(INFO) << "testRescale end."; }