Merge pull request !7235 from shenwei41/sw_mastertags/v1.1.0
| @@ -39,6 +39,7 @@ | |||
| #include "minddata/dataset/kernels/image/random_sharpness_op.h" | |||
| #include "minddata/dataset/kernels/image/random_solarize_op.h" | |||
| #include "minddata/dataset/kernels/image/random_vertical_flip_op.h" | |||
| #include "minddata/dataset/kernels/image/rescale_op.h" | |||
| #include "minddata/dataset/kernels/image/resize_op.h" | |||
| #include "minddata/dataset/kernels/image/rgba_to_bgr_op.h" | |||
| #include "minddata/dataset/kernels/image/rgba_to_rgb_op.h" | |||
| @@ -277,6 +278,16 @@ std::shared_ptr<RandomVerticalFlipOperation> RandomVerticalFlip(float prob) { | |||
| return op; | |||
| } | |||
| // Function to create RescaleOperation. | |||
| std::shared_ptr<RescaleOperation> Rescale(float rescale, float shift) { | |||
| auto op = std::make_shared<RescaleOperation>(rescale, shift); | |||
| // Input validation | |||
| if (!op->ValidateParams()) { | |||
| return nullptr; | |||
| } | |||
| return op; | |||
| } | |||
| // Function to create ResizeOperation. | |||
| std::shared_ptr<ResizeOperation> Resize(std::vector<int32_t> size, InterpolationMode interpolation) { | |||
| auto op = std::make_shared<ResizeOperation>(size, interpolation); | |||
| @@ -977,6 +988,22 @@ std::shared_ptr<TensorOp> RandomVerticalFlipOperation::Build() { | |||
| return tensor_op; | |||
| } | |||
| // RescaleOperation | |||
| RescaleOperation::RescaleOperation(float rescale, float shift) : rescale_(rescale), shift_(shift) {} | |||
| bool RescaleOperation::ValidateParams() { | |||
| if (rescale_ < 0) { | |||
| MS_LOG(ERROR) << "Rescale: rescale must be greater than or equal to 0, got: rescale = " << rescale_; | |||
| return false; | |||
| } | |||
| return true; | |||
| } | |||
| std::shared_ptr<TensorOp> RescaleOperation::Build() { | |||
| std::shared_ptr<RescaleOp> tensor_op = std::make_shared<RescaleOp>(rescale_, shift_); | |||
| return tensor_op; | |||
| } | |||
| // ResizeOperation | |||
| ResizeOperation::ResizeOperation(std::vector<int32_t> size, InterpolationMode interpolation) | |||
| : size_(size), interpolation_(interpolation) {} | |||
| @@ -50,6 +50,7 @@ class RandomRotationOperation; | |||
| class RandomSharpnessOperation; | |||
| class RandomSolarizeOperation; | |||
| class RandomVerticalFlipOperation; | |||
| class RescaleOperation; | |||
| class ResizeOperation; | |||
| class RgbaToBgrOperation; | |||
| class RgbaToRgbOperation; | |||
| @@ -257,6 +258,13 @@ std::shared_ptr<RandomSolarizeOperation> RandomSolarize(std::vector<uint8_t> thr | |||
| /// \return Shared pointer to the current TensorOperation. | |||
| std::shared_ptr<RandomVerticalFlipOperation> RandomVerticalFlip(float prob = 0.5); | |||
| /// \brief Function to create a RescaleOperation TensorOperation. | |||
| /// \notes Tensor operation to rescale the input image. | |||
| /// \param[in] rescale Rescale factor. | |||
| /// \param[in] shift Shift factor. | |||
| /// \return Shared pointer to the current TensorOperation. | |||
| std::shared_ptr<RescaleOperation> Rescale(float rescale, float shift); | |||
| /// \brief Function to create a Resize TensorOperation. | |||
| /// \notes Resize the input image to the given size. | |||
| /// \param[in] size - a vector representing the output size of the resized image. | |||
| @@ -606,6 +614,21 @@ class RandomVerticalFlipOperation : public TensorOperation { | |||
| float probability_; | |||
| }; | |||
| class RescaleOperation : public TensorOperation { | |||
| public: | |||
| explicit RescaleOperation(float rescale, float shift); | |||
| ~RescaleOperation() = default; | |||
| std::shared_ptr<TensorOp> Build() override; | |||
| bool ValidateParams() override; | |||
| private: | |||
| float rescale_; | |||
| float shift_; | |||
| }; | |||
| class ResizeOperation : public TensorOperation { | |||
| public: | |||
| explicit ResizeOperation(std::vector<int32_t> size, | |||
| @@ -1427,3 +1427,93 @@ TEST_F(MindDataTestPipeline, TestRandomCropDecodeResizeFail) { | |||
| mindspore::dataset::InterpolationMode::kLinear, 0); | |||
| EXPECT_EQ(random_crop_decode_resize_6, nullptr); | |||
| } | |||
| TEST_F(MindDataTestPipeline, TestRescaleSucess1) { | |||
| MS_LOG(INFO) << "Doing MindDataTestPipeline-TestRescaleSucess1."; | |||
| // Create an ImageFolder Dataset | |||
| std::string folder_path = datasets_root_path_ + "/testPK/data/"; | |||
| std::shared_ptr<Dataset> ds = ImageFolder(folder_path, true, SequentialSampler(0, 1)); | |||
| EXPECT_NE(ds, nullptr); | |||
| // Create an iterator over the result of the above dataset | |||
| // This will trigger the creation of the Execution Tree and launch it. | |||
| std::shared_ptr<Iterator> iter = ds->CreateIterator(); | |||
| EXPECT_NE(iter, nullptr); | |||
| // Iterate the dataset and get each row | |||
| std::unordered_map<std::string, std::shared_ptr<Tensor>> row; | |||
| iter->GetNextRow(&row); | |||
| auto image = row["image"]; | |||
| // Create objects for the tensor ops | |||
| std::shared_ptr<TensorOperation> rescale = mindspore::dataset::api::vision::Rescale(1.0, 0.0); | |||
| EXPECT_NE(rescale, nullptr); | |||
| // Convert to the same type | |||
| std::shared_ptr<TensorOperation> type_cast = transforms::TypeCast("uint8"); | |||
| EXPECT_NE(type_cast, nullptr); | |||
| ds = ds->Map({rescale, type_cast}, {"image"}); | |||
| EXPECT_NE(ds, nullptr); | |||
| // Create an iterator over the result of the above dataset | |||
| // This will trigger the creation of the Execution Tree and launch it. | |||
| std::shared_ptr<Iterator> iter1 = ds->CreateIterator(); | |||
| EXPECT_NE(iter1, nullptr); | |||
| // Iterate the dataset and get each row1 | |||
| std::unordered_map<std::string, std::shared_ptr<Tensor>> row1; | |||
| iter1->GetNextRow(&row1); | |||
| auto image1 = row1["image"]; | |||
| EXPECT_EQ(*image, *image1); | |||
| // Manually terminate the pipeline | |||
| iter1->Stop(); | |||
| } | |||
| TEST_F(MindDataTestPipeline, TestRescaleSucess2) { | |||
| MS_LOG(INFO) << "Doing MindDataTestPipeline-TestRescaleSucess2 with different params."; | |||
| // Create an ImageFolder Dataset | |||
| std::string folder_path = datasets_root_path_ + "/testPK/data/"; | |||
| std::shared_ptr<Dataset> ds = ImageFolder(folder_path, true, RandomSampler(false, 1)); | |||
| EXPECT_NE(ds, nullptr); | |||
| // Create objects for the tensor ops | |||
| std::shared_ptr<TensorOperation> rescale = mindspore::dataset::api::vision::Rescale(1.0 / 255, 1.0); | |||
| EXPECT_NE(rescale, nullptr); | |||
| ds = ds->Map({rescale}, {"image"}); | |||
| EXPECT_NE(ds, nullptr); | |||
| // Create an iterator over the result of the above dataset | |||
| // This will trigger the creation of the Execution Tree and launch it. | |||
| std::shared_ptr<Iterator> iter = ds->CreateIterator(); | |||
| EXPECT_NE(iter, nullptr); | |||
| // Iterate the dataset and get each row | |||
| std::unordered_map<std::string, std::shared_ptr<Tensor>> row; | |||
| iter->GetNextRow(&row); | |||
| uint64_t i = 0; | |||
| while (row.size() != 0) { | |||
| i++; | |||
| auto image = row["image"]; | |||
| MS_LOG(INFO) << "Tensor image shape: " << image->shape(); | |||
| iter->GetNextRow(&row); | |||
| } | |||
| EXPECT_EQ(i, 1); | |||
| // Manually terminate the pipeline | |||
| iter->Stop(); | |||
| } | |||
| TEST_F(MindDataTestPipeline, TestRescaleFail) { | |||
| MS_LOG(INFO) << "Doing MindDataTestPipeline-TestRescaleSucess3 with invalid params."; | |||
| // incorrect negative rescale parameter | |||
| std::shared_ptr<TensorOperation> rescale = mindspore::dataset::api::vision::Rescale(-1.0, 0.0); | |||
| EXPECT_EQ(rescale, nullptr); | |||
| } | |||