1 /** 2 * Copyright 2020 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 #include "common/common.h" 17 #include "common/cvop_common.h" 18 #include "minddata/dataset/kernels/image/random_posterize_op.h" 19 #include "minddata/dataset/include/dataset/execute.h" 20 #include "minddata/dataset/include/dataset/vision.h" 21 #include "minddata/dataset/core/cv_tensor.h" 22 #include "utils/log_adapter.h" 23 24 using namespace mindspore::dataset; 25 using mindspore::LogStream; 26 using mindspore::ExceptionType::NoExceptionType; 27 using mindspore::MsLogLevel::INFO; 28 29 class MindDataTestRandomPosterizeOp : public UT::CVOP::CVOpCommon { 30 }; 31 32 TEST_F(MindDataTestRandomPosterizeOp, TestOp1) { 33 MS_LOG(INFO) << "Doing testRandomPosterize."; 34 35 std::shared_ptr<Tensor> output_tensor; 36 std::unique_ptr<RandomPosterizeOp> op(new RandomPosterizeOp({1, 1})); 37 EXPECT_TRUE(op->OneToOne()); 38 Status s = op->Compute(input_tensor_, &output_tensor); 39 EXPECT_TRUE(s.IsOk()); 40 CheckImageShapeAndData(output_tensor, kRandomPosterize); 41 } 42 43 TEST_F(MindDataTestRandomPosterizeOp, TestOp2) { 44 // Test Eager RandomPosterize image = (h, w, c) 45 MS_LOG(INFO) << "Doing VisionRandomPosterizeTest."; 46 std::shared_ptr<Tensor> de_tensor; 47 std::string dataset_root_path = "data/dataset"; 48 Tensor::CreateFromFile(dataset_root_path + "/testPK/data/class1/0.jpg", &de_tensor); 49 auto image = mindspore::MSTensor(std::make_shared<DETensor>(de_tensor)); 50 std::shared_ptr<TensorTransform> decode_op = std::make_shared<vision::Decode>(); 51 std::shared_ptr<TensorTransform> randomposterize_op(new vision::RandomPosterize({3, 5})); 52 auto transform = Execute({decode_op, randomposterize_op}); 53 Status rc = transform(image, &image); 54 EXPECT_TRUE(rc.IsOk()); 55 EXPECT_EQ(image.Shape().size(), 3); 56 EXPECT_EQ(image.Shape()[2], 3); 57 } 58 59 TEST_F(MindDataTestRandomPosterizeOp, TestOp3) { 60 // Test Eager RandomSolarize image.size = {2, 2, 2, 1} 61 MS_LOG(INFO) << "Doing VisionRandomSolarizeTest."; 62 63 std::shared_ptr<Tensor> de_tensor; 64 Tensor::CreateFromVector(std::vector<uint8_t>({0, 25, 120, 0, 38, 2, 10, 13}), TensorShape({2, 2, 2, 1}), &de_tensor); 65 auto image = mindspore::MSTensor(std::make_shared<DETensor>(de_tensor)); 66 std::shared_ptr<TensorTransform> randomsolarize_op(new vision::RandomSolarize({12, 25})); 67 auto transform = Execute({randomsolarize_op}); 68 Status rc = transform(image, &image); 69 EXPECT_TRUE(rc.IsError()); 70 } 71