From 7766efd58e6a8764e1820dc1cee803369784aed8 Mon Sep 17 00:00:00 2001 From: nhussain Date: Mon, 10 Aug 2020 17:50:01 -0400 Subject: [PATCH] add files --- .../dataset/kernels/image/bindings.cc | 7 + .../ccsrc/minddata/dataset/api/transforms.cc | 28 +++ .../minddata/dataset/include/transforms.h | 23 +++ .../dataset/kernels/image/CMakeLists.txt | 2 + .../kernels/image/random_solarize_op.cc | 42 +++++ .../kernels/image/random_solarize_op.h | 53 ++++++ .../dataset/kernels/image/solarize_op.cc | 81 +++++++++ .../dataset/kernels/image/solarize_op.h | 47 +++++ .../minddata/dataset/kernels/tensor_op.h | 2 + .../dataset/transforms/vision/c_transforms.py | 19 +- .../dataset/transforms/vision/validators.py | 24 ++- tests/ut/cpp/dataset/CMakeLists.txt | 6 +- tests/ut/cpp/dataset/c_api_transforms_test.cc | 47 +++++ tests/ut/cpp/dataset/common/cvop_common.cc | 4 + tests/ut/cpp/dataset/common/cvop_common.h | 1 + .../ut/cpp/dataset/random_solarize_op_test.cc | 49 ++++++ tests/ut/cpp/dataset/solarize_op_test.cc | 164 ++++++++++++++++++ .../golden/random_solarize_01_result.npz | Bin 0 -> 644 bytes .../apple_expect_random_solarize.jpg | Bin 0 -> 557254 bytes .../python/dataset/test_random_solarize_op.py | 112 ++++++++++++ 20 files changed, 707 insertions(+), 4 deletions(-) create mode 100644 mindspore/ccsrc/minddata/dataset/kernels/image/random_solarize_op.cc create mode 100644 mindspore/ccsrc/minddata/dataset/kernels/image/random_solarize_op.h create mode 100644 mindspore/ccsrc/minddata/dataset/kernels/image/solarize_op.cc create mode 100644 mindspore/ccsrc/minddata/dataset/kernels/image/solarize_op.h create mode 100644 tests/ut/cpp/dataset/random_solarize_op_test.cc create mode 100644 tests/ut/cpp/dataset/solarize_op_test.cc create mode 100644 tests/ut/data/dataset/golden/random_solarize_01_result.npz create mode 100644 tests/ut/data/dataset/imagefolder/apple_expect_random_solarize.jpg create mode 100644 tests/ut/python/dataset/test_random_solarize_op.py diff --git a/mindspore/ccsrc/minddata/dataset/api/python/bindings/dataset/kernels/image/bindings.cc b/mindspore/ccsrc/minddata/dataset/api/python/bindings/dataset/kernels/image/bindings.cc index b51e3ef4b..3a2f7e5c8 100644 --- a/mindspore/ccsrc/minddata/dataset/api/python/bindings/dataset/kernels/image/bindings.cc +++ b/mindspore/ccsrc/minddata/dataset/api/python/bindings/dataset/kernels/image/bindings.cc @@ -44,6 +44,7 @@ #include "minddata/dataset/kernels/image/random_resize_with_bbox_op.h" #include "minddata/dataset/kernels/image/random_rotation_op.h" #include "minddata/dataset/kernels/image/random_select_subpolicy_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/random_vertical_flip_with_bbox_op.h" #include "minddata/dataset/kernels/image/rescale_op.h" @@ -383,5 +384,11 @@ PYBIND_REGISTER( py::arg("maxIter") = RandomCropDecodeResizeOp::kDefMaxIter); })); +PYBIND_REGISTER(RandomSolarizeOp, 1, ([](const py::module *m) { + (void)py::class_>(*m, + "RandomSolarizeOp") + .def(py::init()); + })); + } // namespace dataset } // namespace mindspore diff --git a/mindspore/ccsrc/minddata/dataset/api/transforms.cc b/mindspore/ccsrc/minddata/dataset/api/transforms.cc index b1d80db9d..989a27c81 100644 --- a/mindspore/ccsrc/minddata/dataset/api/transforms.cc +++ b/mindspore/ccsrc/minddata/dataset/api/transforms.cc @@ -31,6 +31,7 @@ #include "minddata/dataset/kernels/image/random_crop_op.h" #include "minddata/dataset/kernels/image/random_horizontal_flip_op.h" #include "minddata/dataset/kernels/image/random_rotation_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/resize_op.h" #include "minddata/dataset/kernels/image/swap_red_blue_op.h" @@ -198,6 +199,16 @@ std::shared_ptr RandomRotation(std::vector degre return op; } +// Function to create RandomSolarizeOperation. +std::shared_ptr RandomSolarize(uint8_t threshold_min, uint8_t threshold_max) { + auto op = std::make_shared(threshold_min, threshold_max); + // Input validation + if (!op->ValidateParams()) { + return nullptr; + } + return op; +} + // Function to create RandomVerticalFlipOperation. std::shared_ptr RandomVerticalFlip(float prob) { auto op = std::make_shared(prob); @@ -654,6 +665,23 @@ std::shared_ptr RandomRotationOperation::Build() { return tensor_op; } +// RandomSolarizeOperation. +RandomSolarizeOperation::RandomSolarizeOperation(uint8_t threshold_min, uint8_t threshold_max) + : threshold_min_(threshold_min), threshold_max_(threshold_max) {} + +bool RandomSolarizeOperation::ValidateParams() { + if (threshold_max_ < threshold_min_) { + MS_LOG(ERROR) << "RandomSolarize: threshold_max must be greater or equal to threshold_min"; + return false; + } + return true; +} + +std::shared_ptr RandomSolarizeOperation::Build() { + std::shared_ptr tensor_op = std::make_shared(threshold_min_, threshold_max_); + return tensor_op; +} + // RandomVerticalFlipOperation RandomVerticalFlipOperation::RandomVerticalFlipOperation(float probability) : probability_(probability) {} diff --git a/mindspore/ccsrc/minddata/dataset/include/transforms.h b/mindspore/ccsrc/minddata/dataset/include/transforms.h index b33516486..9b3c9e579 100644 --- a/mindspore/ccsrc/minddata/dataset/include/transforms.h +++ b/mindspore/ccsrc/minddata/dataset/include/transforms.h @@ -61,6 +61,7 @@ class RandomColorAdjustOperation; class RandomCropOperation; class RandomHorizontalFlipOperation; class RandomRotationOperation; +class RandomSolarizeOperation; class RandomVerticalFlipOperation; class ResizeOperation; class SwapRedBlueOperation; @@ -208,6 +209,13 @@ std::shared_ptr RandomRotation( std::vector degrees, InterpolationMode resample = InterpolationMode::kNearestNeighbour, bool expand = false, std::vector center = {-1, -1}, std::vector fill_value = {0, 0, 0}); +/// \brief Function to create a RandomSolarize TensorOperation. +/// \notes Invert pixels within specified range. If min=max, then it inverts all pixel above that threshold +/// \param[in] threshold_min - lower limit +/// \param[in] threshold_max - upper limit +/// \return Shared pointer to the current TensorOperation. +std::shared_ptr RandomSolarize(uint8_t threshold_min = 0, uint8_t threshold_max = 255); + /// \brief Function to create a RandomVerticalFlip TensorOperation. /// \notes Tensor operation to perform random vertical flip. /// \param[in] prob - float representing the probability of flip. @@ -515,6 +523,21 @@ class SwapRedBlueOperation : public TensorOperation { bool ValidateParams() override; }; + +class RandomSolarizeOperation : public TensorOperation { + public: + explicit RandomSolarizeOperation(uint8_t threshold_min, uint8_t threshold_max); + + ~RandomSolarizeOperation() = default; + + std::shared_ptr Build() override; + + bool ValidateParams() override; + + private: + uint8_t threshold_min_; + uint8_t threshold_max_; +}; } // namespace vision } // namespace api } // namespace dataset diff --git a/mindspore/ccsrc/minddata/dataset/kernels/image/CMakeLists.txt b/mindspore/ccsrc/minddata/dataset/kernels/image/CMakeLists.txt index d7efb7fbf..8a73aa93a 100644 --- a/mindspore/ccsrc/minddata/dataset/kernels/image/CMakeLists.txt +++ b/mindspore/ccsrc/minddata/dataset/kernels/image/CMakeLists.txt @@ -29,11 +29,13 @@ add_library(kernels-image OBJECT random_resize_op.cc random_rotation_op.cc random_select_subpolicy_op.cc + random_solarize_op.cc random_vertical_flip_op.cc random_vertical_flip_with_bbox_op.cc rescale_op.cc resize_bilinear_op.cc resize_op.cc + solarize_op.cc swap_red_blue_op.cc uniform_aug_op.cc resize_with_bbox_op.cc diff --git a/mindspore/ccsrc/minddata/dataset/kernels/image/random_solarize_op.cc b/mindspore/ccsrc/minddata/dataset/kernels/image/random_solarize_op.cc new file mode 100644 index 000000000..83860febc --- /dev/null +++ b/mindspore/ccsrc/minddata/dataset/kernels/image/random_solarize_op.cc @@ -0,0 +1,42 @@ +/** + * 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_solarize_op.h" +#include "minddata/dataset/kernels/image/solarize_op.h" +#include "minddata/dataset/kernels/image/image_utils.h" +#include "minddata/dataset/core/cv_tensor.h" +#include "minddata/dataset/util/status.h" + +namespace mindspore { +namespace dataset { + +Status RandomSolarizeOp::Compute(const std::shared_ptr &input, std::shared_ptr *output) { + IO_CHECK(input, output); + CHECK_FAIL_RETURN_UNEXPECTED(threshold_min_ <= threshold_max_, + "threshold_min must be smaller or equal to threshold_max."); + + uint8_t threshold_min = std::uniform_int_distribution(threshold_min_, threshold_max_)(rnd_); + uint8_t threshold_max = std::uniform_int_distribution(threshold_min_, threshold_max_)(rnd_); + + if (threshold_max < threshold_min) { + uint8_t temp = threshold_min; + threshold_min = threshold_max; + threshold_max = temp; + } + std::unique_ptr op(new SolarizeOp(threshold_min, threshold_max)); + return op->Compute(input, output); +} +} // namespace dataset +} // namespace mindspore diff --git a/mindspore/ccsrc/minddata/dataset/kernels/image/random_solarize_op.h b/mindspore/ccsrc/minddata/dataset/kernels/image/random_solarize_op.h new file mode 100644 index 000000000..1be2c5275 --- /dev/null +++ b/mindspore/ccsrc/minddata/dataset/kernels/image/random_solarize_op.h @@ -0,0 +1,53 @@ +/** + * 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. + */ + +#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RANDOM_SOLARIZE_OP_H +#define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RANDOM_SOLARIZE_OP_H + +#include +#include + +#include "minddata/dataset/core/tensor.h" +#include "minddata/dataset/kernels/tensor_op.h" +#include "minddata/dataset/util/status.h" +#include "minddata/dataset/kernels/image/solarize_op.h" +#include "minddata/dataset/util/random.h" + +namespace mindspore { +namespace dataset { +class RandomSolarizeOp : public SolarizeOp { + public: + // Pick a random threshold value to solarize the image with + explicit RandomSolarizeOp(uint8_t threshold_min = 0, uint8_t threshold_max = 255) + : threshold_min_(threshold_min), threshold_max_(threshold_max) { + rnd_.seed(GetSeed()); + } + + ~RandomSolarizeOp() = default; + + Status Compute(const std::shared_ptr &input, std::shared_ptr *output) override; + + std::string Name() const override { return kRandomSolarizeOp; } + + private: + uint8_t threshold_min_; + uint8_t threshold_max_; + std::mt19937 rnd_; +}; +} // namespace dataset +} // namespace mindspore + +#endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RANDOM_SOLARIZE_OP_H diff --git a/mindspore/ccsrc/minddata/dataset/kernels/image/solarize_op.cc b/mindspore/ccsrc/minddata/dataset/kernels/image/solarize_op.cc new file mode 100644 index 000000000..41970b547 --- /dev/null +++ b/mindspore/ccsrc/minddata/dataset/kernels/image/solarize_op.cc @@ -0,0 +1,81 @@ +/** + * 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/solarize_op.h" +#include "minddata/dataset/kernels/image/image_utils.h" +#include "minddata/dataset/core/cv_tensor.h" +#include "minddata/dataset/util/status.h" + +namespace mindspore { +namespace dataset { + +// only supports RGB images +const uint8_t kPixelValue = 255; + +Status SolarizeOp::Compute(const std::shared_ptr &input, std::shared_ptr *output) { + IO_CHECK(input, output); + + CHECK_FAIL_RETURN_UNEXPECTED(threshold_min_ <= threshold_max_, + "threshold_min must be smaller or equal to threshold_max."); + + try { + std::shared_ptr input_cv = CVTensor::AsCVTensor(input); + cv::Mat input_img = input_cv->mat(); + if (!input_cv->mat().data) { + RETURN_STATUS_UNEXPECTED("Could not convert to CV Tensor"); + } + + if (input_cv->Rank() != 2 && input_cv->Rank() != 3) { + RETURN_STATUS_UNEXPECTED("Shape not of either or format."); + } + if (input_cv->Rank() == 3) { + int num_channels = input_cv->shape()[2]; + if (num_channels != 3 && num_channels != 1) { + RETURN_STATUS_UNEXPECTED("Number of channels is not 1 or 3."); + } + } + + std::shared_ptr mask_mat_tensor; + std::shared_ptr output_cv_tensor; + RETURN_IF_NOT_OK(CVTensor::CreateFromMat(input_cv->mat(), &mask_mat_tensor)); + + RETURN_IF_NOT_OK(CVTensor::CreateEmpty(input_cv->shape(), input_cv->type(), &output_cv_tensor)); + RETURN_UNEXPECTED_IF_NULL(mask_mat_tensor); + RETURN_UNEXPECTED_IF_NULL(output_cv_tensor); + + if (threshold_min_ == threshold_max_) { + mask_mat_tensor->mat().setTo(0, ~(input_cv->mat() >= threshold_min_)); + } else { + mask_mat_tensor->mat().setTo(0, ~((input_cv->mat() >= threshold_min_) & (input_cv->mat() <= threshold_max_))); + } + + // solarize desired portion + output_cv_tensor->mat() = cv::Scalar::all(255) - mask_mat_tensor->mat(); + input_cv->mat().copyTo(output_cv_tensor->mat(), mask_mat_tensor->mat() == 0); + input_cv->mat().copyTo(output_cv_tensor->mat(), input_cv->mat() < threshold_min_); + + *output = std::static_pointer_cast(output_cv_tensor); + } + + catch (const cv::Exception &e) { + const char *cv_err_msg = e.what(); + std::string err_message = "Error in SolarizeOp: "; + err_message += cv_err_msg; + RETURN_STATUS_UNEXPECTED(err_message); + } + return Status::OK(); +} +} // namespace dataset +} // namespace mindspore diff --git a/mindspore/ccsrc/minddata/dataset/kernels/image/solarize_op.h b/mindspore/ccsrc/minddata/dataset/kernels/image/solarize_op.h new file mode 100644 index 000000000..18399f7d3 --- /dev/null +++ b/mindspore/ccsrc/minddata/dataset/kernels/image/solarize_op.h @@ -0,0 +1,47 @@ +/** + * 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. + */ + +#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_SOLARIZE_OP_H +#define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_SOLARIZE_OP_H + +#include +#include + +#include "minddata/dataset/core/tensor.h" +#include "minddata/dataset/kernels/tensor_op.h" +#include "minddata/dataset/util/status.h" + +namespace mindspore { +namespace dataset { +class SolarizeOp : public TensorOp { + public: + explicit SolarizeOp(uint8_t threshold_min = 0, uint8_t threshold_max = 255) + : threshold_min_(threshold_min), threshold_max_(threshold_max) {} + + ~SolarizeOp() = default; + + Status Compute(const std::shared_ptr &input, std::shared_ptr *output) override; + + std::string Name() const override { return kSolarizeOp; } + + private: + uint8_t threshold_min_; + uint8_t threshold_max_; +}; +} // namespace dataset +} // namespace mindspore + +#endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_SOLARIZE_OP_H diff --git a/mindspore/ccsrc/minddata/dataset/kernels/tensor_op.h b/mindspore/ccsrc/minddata/dataset/kernels/tensor_op.h index 8e90c8c32..058a197e7 100644 --- a/mindspore/ccsrc/minddata/dataset/kernels/tensor_op.h +++ b/mindspore/ccsrc/minddata/dataset/kernels/tensor_op.h @@ -113,12 +113,14 @@ constexpr char kRandomHorizontalFlipOp[] = "RandomHorizontalFlipOp"; constexpr char kRandomResizeOp[] = "RandomResizeOp"; constexpr char kRandomResizeWithBBoxOp[] = "RandomResizeWithBBoxOp"; constexpr char kRandomRotationOp[] = "RandomRotationOp"; +constexpr char kRandomSolarizeOp[] = "RandomSolarizeOp"; constexpr char kRandomVerticalFlipOp[] = "RandomVerticalFlipOp"; constexpr char kRandomVerticalFlipWithBBoxOp[] = "RandomVerticalFlipWithBBoxOp"; constexpr char kRescaleOp[] = "RescaleOp"; constexpr char kResizeBilinearOp[] = "ResizeBilinearOp"; constexpr char kResizeOp[] = "ResizeOp"; constexpr char kResizeWithBBoxOp[] = "ResizeWithBBoxOp"; +constexpr char kSolarizeOp[] = "SolarizeOp"; constexpr char kSwapRedBlueOp[] = "SwapRedBlueOp"; constexpr char kUniformAugOp[] = "UniformAugOp"; constexpr char kSoftDvppDecodeRandomCropResizeJpegOp[] = "SoftDvppDecodeRandomCropResizeJpegOp"; diff --git a/mindspore/dataset/transforms/vision/c_transforms.py b/mindspore/dataset/transforms/vision/c_transforms.py index 78a907b5f..cf7e9f8a9 100644 --- a/mindspore/dataset/transforms/vision/c_transforms.py +++ b/mindspore/dataset/transforms/vision/c_transforms.py @@ -48,7 +48,7 @@ from .validators import check_prob, check_crop, check_resize_interpolation, chec check_mix_up_batch_c, check_normalize_c, check_random_crop, check_random_color_adjust, check_random_rotation, \ check_range, check_resize, check_rescale, check_pad, check_cutout, check_uniform_augment_cpp, \ check_bounding_box_augment_cpp, check_random_select_subpolicy_op, check_auto_contrast, check_random_affine, \ - check_soft_dvpp_decode_random_crop_resize_jpeg, FLOAT_MAX_INTEGER + check_random_solarize, check_soft_dvpp_decode_random_crop_resize_jpeg, FLOAT_MAX_INTEGER DE_C_INTER_MODE = {Inter.NEAREST: cde.InterpolationMode.DE_INTER_NEAREST_NEIGHBOUR, Inter.LINEAR: cde.InterpolationMode.DE_INTER_LINEAR, @@ -932,3 +932,20 @@ class SoftDvppDecodeRandomCropResizeJpeg(cde.SoftDvppDecodeRandomCropResizeJpegO self.ratio = ratio self.max_attempts = max_attempts super().__init__(*size, *scale, *ratio, max_attempts) + + +class RandomSolarize(cde.RandomSolarizeOp): + """ + Invert all pixel values above a threshold. + + Args: + threshold (sequence): Range of random solarize threshold. + Threshold values should always be in range of [0, 255], and + include at least one integer value in the given range and + be in (min, max) format. If min=max, then it is a single + fixed magnitude operation (default=(0, 255)). + """ + + @check_random_solarize + def __init__(self, threshold=(0, 255)): + super().__init__(*threshold) diff --git a/mindspore/dataset/transforms/vision/validators.py b/mindspore/dataset/transforms/vision/validators.py index 16b7c684b..b89448908 100644 --- a/mindspore/dataset/transforms/vision/validators.py +++ b/mindspore/dataset/transforms/vision/validators.py @@ -21,7 +21,8 @@ from mindspore._c_dataengine import TensorOp from .utils import Inter, Border from ...core.validator_helpers import check_value, check_uint8, FLOAT_MAX_INTEGER, check_pos_float32, \ - check_2tuple, check_range, check_positive, INT32_MAX, parse_user_args, type_check, type_check_list, check_tensor_op + check_2tuple, check_range, check_positive, INT32_MAX, parse_user_args, type_check, type_check_list, \ + check_tensor_op, UINT8_MAX def check_crop_size(size): @@ -674,4 +675,25 @@ def check_soft_dvpp_decode_random_crop_resize_jpeg(method): check_size_scale_ration_max_attempts_paras(size, scale, ratio, max_attempts) return method(self, *args, **kwargs) + + return new_method + + +def check_random_solarize(method): + """Wrapper method to check the parameters of RandomSolarizeOp.""" + + @wraps(method) + def new_method(self, *args, **kwargs): + [threshold], _ = parse_user_args(method, *args, **kwargs) + + type_check(threshold, (tuple,), "threshold") + type_check_list(threshold, (int,), "threshold") + if len(threshold) != 2: + raise ValueError("threshold must be a sequence of two numbers") + for element in threshold: + check_value(element, (0, UINT8_MAX)) + if threshold[1] < threshold[0]: + raise ValueError("threshold must be in min max format numbers") + + return method(self, *args, **kwargs) return new_method diff --git a/tests/ut/cpp/dataset/CMakeLists.txt b/tests/ut/cpp/dataset/CMakeLists.txt index f33a6ca49..13619450c 100644 --- a/tests/ut/cpp/dataset/CMakeLists.txt +++ b/tests/ut/cpp/dataset/CMakeLists.txt @@ -50,6 +50,7 @@ SET(DE_UT_SRCS random_resize_op_test.cc random_resize_with_bbox_op_test.cc random_rotation_op_test.cc + random_solarize_op_test.cc random_vertical_flip_op_test.cc random_vertical_flip_with_bbox_op_test.cc rename_op_test.cc @@ -104,8 +105,9 @@ SET(DE_UT_SRCS sliding_window_op_test.cc epoch_ctrl_op_test.cc sentence_piece_vocab_op_test.cc - swap_red_blue_test.cc - distributed_sampler_test.cc + solarize_op_test.cc + swap_red_blue_test.cc + distributed_sampler_test.cc ) if (ENABLE_PYTHON) diff --git a/tests/ut/cpp/dataset/c_api_transforms_test.cc b/tests/ut/cpp/dataset/c_api_transforms_test.cc index 06ca76d70..2b832b77d 100644 --- a/tests/ut/cpp/dataset/c_api_transforms_test.cc +++ b/tests/ut/cpp/dataset/c_api_transforms_test.cc @@ -729,3 +729,50 @@ TEST_F(MindDataTestPipeline, TestRandomRotation) { // Manually terminate the pipeline iter->Stop(); } + +TEST_F(MindDataTestPipeline, TestRandomSolarize) { + // Create an ImageFolder Dataset + std::string folder_path = datasets_root_path_ + "/testPK/data/"; + std::shared_ptr ds = ImageFolder(folder_path, true, RandomSampler(false, 10)); + EXPECT_NE(ds, nullptr); + + // Create a Repeat operation on ds + int32_t repeat_num = 2; + ds = ds->Repeat(repeat_num); + EXPECT_NE(ds, nullptr); + + // Create objects for the tensor ops + std::shared_ptr random_solarize = mindspore::dataset::api::vision::RandomSolarize(23, 23); //vision::RandomSolarize(); + EXPECT_NE(random_solarize, nullptr); + + // Create a Map operation on ds + ds = ds->Map({random_solarize}); + EXPECT_NE(ds, nullptr); + + // Create a Batch operation on ds + int32_t batch_size = 1; + ds = ds->Batch(batch_size); + 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 iter = ds->CreateIterator(); + EXPECT_NE(iter, nullptr); + + // Iterate the dataset and get each row + std::unordered_map> 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, 20); + + // Manually terminate the pipeline + iter->Stop(); +} diff --git a/tests/ut/cpp/dataset/common/cvop_common.cc b/tests/ut/cpp/dataset/common/cvop_common.cc index 6f9cfde82..638a8ff09 100644 --- a/tests/ut/cpp/dataset/common/cvop_common.cc +++ b/tests/ut/cpp/dataset/common/cvop_common.cc @@ -142,6 +142,10 @@ void CVOpCommon::CheckImageShapeAndData(const std::shared_ptr &output_te expect_image_path = dir_path + "imagefolder/apple_expect_equalize.jpg"; actual_image_path = dir_path + "imagefolder/apple_actual_equalize.jpg"; break; + case kRandomSolarize: + expect_image_path = dir_path + "imagefolder/apple_expect_random_solarize.jpg"; + actual_image_path = dir_path + "imagefolder/apple_actual_random_solarize.jpg"; + break; default: MS_LOG(INFO) << "Not pass verification! Operation type does not exists."; EXPECT_EQ(0, 1); diff --git a/tests/ut/cpp/dataset/common/cvop_common.h b/tests/ut/cpp/dataset/common/cvop_common.h index 000077d43..0a0633607 100644 --- a/tests/ut/cpp/dataset/common/cvop_common.h +++ b/tests/ut/cpp/dataset/common/cvop_common.h @@ -36,6 +36,7 @@ class CVOpCommon : public Common { kDecode, kChannelSwap, kChangeMode, + kRandomSolarize, kTemplate, kCrop, kRandomAffine, diff --git a/tests/ut/cpp/dataset/random_solarize_op_test.cc b/tests/ut/cpp/dataset/random_solarize_op_test.cc new file mode 100644 index 000000000..3277da791 --- /dev/null +++ b/tests/ut/cpp/dataset/random_solarize_op_test.cc @@ -0,0 +1,49 @@ +/** + * 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 "minddata/dataset/kernels/image/random_solarize_op.h" +#include "minddata/dataset/core/cv_tensor.h" +#include "minddata/dataset/util/status.h" +#include "utils/log_adapter.h" + +using namespace mindspore::dataset; +using mindspore::LogStream; +using mindspore::ExceptionType::NoExceptionType; +using mindspore::MsLogLevel::INFO; + +class MindDataTestRandomSolarizeOp : public UT::CVOP::CVOpCommon { + protected: + MindDataTestRandomSolarizeOp() : CVOpCommon() {} + + std::shared_ptr output_tensor_; +}; + +TEST_F(MindDataTestRandomSolarizeOp, TestOp1) { + MS_LOG(INFO) << "Doing testRandomSolarizeOp1."; + // setting seed here + uint32_t curr_seed = GlobalContext::config_manager()->seed(); + GlobalContext::config_manager()->set_seed(0); + + std::unique_ptr op(new RandomSolarizeOp(100, 100)); + EXPECT_TRUE(op->OneToOne()); + Status s = op->Compute(input_tensor_, &output_tensor_); + + EXPECT_TRUE(s.IsOk()); + CheckImageShapeAndData(output_tensor_, kRandomSolarize); + // restoring the seed + GlobalContext::config_manager()->set_seed(curr_seed); +} \ No newline at end of file diff --git a/tests/ut/cpp/dataset/solarize_op_test.cc b/tests/ut/cpp/dataset/solarize_op_test.cc new file mode 100644 index 000000000..6f1bdad6d --- /dev/null +++ b/tests/ut/cpp/dataset/solarize_op_test.cc @@ -0,0 +1,164 @@ +/** + * 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 "minddata/dataset/kernels/image/solarize_op.h" +#include "minddata/dataset/core/cv_tensor.h" +#include "minddata/dataset/util/status.h" +#include "utils/log_adapter.h" +#include "gtest/gtest.h" + +using namespace mindspore::dataset; +using mindspore::LogStream; +using mindspore::ExceptionType::NoExceptionType; +using mindspore::MsLogLevel::INFO; + +class MindDataTestSolarizeOp : public UT::CVOP::CVOpCommon { + protected: + MindDataTestSolarizeOp() : CVOpCommon() {} + + std::shared_ptr output_tensor_; +}; + +TEST_F(MindDataTestSolarizeOp, TestOp1) { + MS_LOG(INFO) << "Doing testSolarizeOp1."; + + std::unique_ptr op(new SolarizeOp()); + EXPECT_TRUE(op->OneToOne()); + Status s = op->Compute(input_tensor_, &output_tensor_); + + EXPECT_TRUE(s.IsOk()); +} + +TEST_F(MindDataTestSolarizeOp, TestOp2) { + MS_LOG(INFO) << "Doing testSolarizeOp2 - test default values"; + + // unsigned int threshold = 128; + std::unique_ptr op(new SolarizeOp()); + + std::vector test_vector = {3, 4, 59, 210, 255}; + std::vector expected_output_vector = {252, 251, 196, 45, 0}; + std::shared_ptr test_input_tensor; + std::shared_ptr expected_output_tensor; + Tensor::CreateFromVector(test_vector, TensorShape({1, (long int)test_vector.size(), 1}), &test_input_tensor); + Tensor::CreateFromVector(expected_output_vector, TensorShape({1, (long int)test_vector.size(), 1}), + &expected_output_tensor); + + std::shared_ptr test_output_tensor; + Status s = op->Compute(test_input_tensor, &test_output_tensor); + + EXPECT_TRUE(s.IsOk()); + + ASSERT_TRUE(test_output_tensor->shape() == expected_output_tensor->shape()); + ASSERT_TRUE(test_output_tensor->type() == expected_output_tensor->type()); + MS_LOG(DEBUG) << *test_output_tensor << std::endl; + MS_LOG(DEBUG) << *expected_output_tensor << std::endl; + + ASSERT_TRUE(*test_output_tensor == *expected_output_tensor); +} + +TEST_F(MindDataTestSolarizeOp, TestOp3) { + MS_LOG(INFO) << "Doing testSolarizeOp3 - Pass in only threshold_min parameter"; + + // unsigned int threshold = 128; + std::unique_ptr op(new SolarizeOp(1)); + + std::vector test_vector = {3, 4, 59, 210, 255}; + std::vector expected_output_vector = {252, 251, 196, 45, 0}; + std::shared_ptr test_input_tensor; + std::shared_ptr expected_output_tensor; + Tensor::CreateFromVector(test_vector, TensorShape({1, (long int)test_vector.size(), 1}), &test_input_tensor); + Tensor::CreateFromVector(expected_output_vector, TensorShape({1, (long int)test_vector.size(), 1}), + &expected_output_tensor); + + std::shared_ptr test_output_tensor; + Status s = op->Compute(test_input_tensor, &test_output_tensor); + + EXPECT_TRUE(s.IsOk()); + ASSERT_TRUE(test_output_tensor->shape() == expected_output_tensor->shape()); + ASSERT_TRUE(test_output_tensor->type() == expected_output_tensor->type()); + MS_LOG(DEBUG) << *test_output_tensor << std::endl; + MS_LOG(DEBUG) << *expected_output_tensor << std::endl; + ASSERT_TRUE(*test_output_tensor == *expected_output_tensor); +} + +TEST_F(MindDataTestSolarizeOp, TestOp4) { + MS_LOG(INFO) << "Doing testSolarizeOp4 - Pass in both threshold parameters."; + + // unsigned int threshold = 128; + std::unique_ptr op(new SolarizeOp(1, 230)); + + std::vector test_vector = {3, 4, 59, 210, 255}; + std::vector expected_output_vector = {252, 251, 196, 45, 255}; + std::shared_ptr test_input_tensor; + std::shared_ptr expected_output_tensor; + Tensor::CreateFromVector(test_vector, TensorShape({1, (long int)test_vector.size(), 1}), &test_input_tensor); + Tensor::CreateFromVector(expected_output_vector, TensorShape({1, (long int)test_vector.size(), 1}), + &expected_output_tensor); + + std::shared_ptr test_output_tensor; + Status s = op->Compute(test_input_tensor, &test_output_tensor); + + EXPECT_TRUE(s.IsOk()); + ASSERT_TRUE(test_output_tensor->shape() == expected_output_tensor->shape()); + ASSERT_TRUE(test_output_tensor->type() == expected_output_tensor->type()); + MS_LOG(DEBUG) << *test_output_tensor << std::endl; + MS_LOG(DEBUG) << *expected_output_tensor << std::endl; + ASSERT_TRUE(*test_output_tensor == *expected_output_tensor); +} + +TEST_F(MindDataTestSolarizeOp, TestOp5) { + MS_LOG(INFO) << "Doing testSolarizeOp5 - Rank 2 input tensor."; + + // unsigned int threshold = 128; + std::unique_ptr op(new SolarizeOp(1, 230)); + + std::vector test_vector = {3, 4, 59, 210, 255}; + std::vector expected_output_vector = {252, 251, 196, 45, 255}; + std::shared_ptr test_input_tensor; + std::shared_ptr expected_output_tensor; + Tensor::CreateFromVector(test_vector, TensorShape({1, (long int)test_vector.size()}), &test_input_tensor); + Tensor::CreateFromVector(expected_output_vector, TensorShape({1, (long int)test_vector.size()}), + &expected_output_tensor); + + std::shared_ptr test_output_tensor; + Status s = op->Compute(test_input_tensor, &test_output_tensor); + + EXPECT_TRUE(s.IsOk()); + ASSERT_TRUE(test_output_tensor->shape() == expected_output_tensor->shape()); + ASSERT_TRUE(test_output_tensor->type() == expected_output_tensor->type()); + MS_LOG(DEBUG) << *test_output_tensor << std::endl; + MS_LOG(DEBUG) << *expected_output_tensor << std::endl; + + ASSERT_TRUE(*test_output_tensor == *expected_output_tensor); +} + +TEST_F(MindDataTestSolarizeOp, TestOp6) { + MS_LOG(INFO) << "Doing testSolarizeOp6 - Bad Input."; + + std::unique_ptr op(new SolarizeOp(10, 1)); + + std::vector test_vector = {3, 4, 59, 210, 255}; + std::shared_ptr test_input_tensor; + std::shared_ptr test_output_tensor; + Tensor::CreateFromVector(test_vector, TensorShape({1, (long int)test_vector.size(), 1}), &test_input_tensor); + + Status s = op->Compute(test_input_tensor, &test_output_tensor); + + EXPECT_TRUE(s.IsError()); + EXPECT_NE(s.ToString().find("threshold_min must be smaller or equal to threshold_max."), std::string::npos); + ASSERT_TRUE(s.get_code() == StatusCode::kUnexpectedError); +} \ No newline at end of file diff --git a/tests/ut/data/dataset/golden/random_solarize_01_result.npz b/tests/ut/data/dataset/golden/random_solarize_01_result.npz new file mode 100644 index 0000000000000000000000000000000000000000..704de30a6217f0045ca0a411bad7653aa9159fc8 GIT binary patch literal 644 zcmWIWW@Zs#fB;1XhpC%X{xC8yfG{V62t#5~QM`d(UO^=zg8*0%q!1(t0+anheFGvH z8Oj){)l*W7lZ(`?6x3_{)pZoq)AEZ-iW2kU^NUhaLBei{ImM|!@#2icf>a=1!%#=T zNK;3lR)KuL)xeybSDIT;sh6Bzl&Y6onp2VqbZ=rMSA0=wa(-TMNl|HX30ENlL={(F z3PiS$(VL;Qkja@bsgSw7kR_;)Rl}PR2$|Xn*`P{ON-7IdxeD1Mn1J5&w3~dC8Vpq&0>+dtK`@GgnZdV^h=Ae;DiaA`MPdk$kDc?s*1DgajivL> zIls64#e`(<{oK!euXU|!U2EOoZxyhJ8Bc)1S%K|M=;%IoY4pKlCB~*7VGb zjLht;VOjQ)|D*p5z8L%br$7Dn@E0@Ez7|XWd|Jlm(+2-FR=_wjZFmgU|Cg4Y@u|#V 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b/tests/ut/python/dataset/test_random_solarize_op.py new file mode 100644 index 000000000..1c9a9cd67 --- /dev/null +++ b/tests/ut/python/dataset/test_random_solarize_op.py @@ -0,0 +1,112 @@ +# 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. +# ============================================================================== +""" +Testing RandomSolarizeOp op in DE +""" +import pytest +import mindspore.dataset as ds +import mindspore.dataset.transforms.vision.c_transforms as vision +from mindspore import log as logger +from util import visualize_list, save_and_check_md5, config_get_set_seed, config_get_set_num_parallel_workers + +GENERATE_GOLDEN = False + +DATA_DIR = ["../data/dataset/test_tf_file_3_images/train-0000-of-0001.data"] +SCHEMA_DIR = "../data/dataset/test_tf_file_3_images/datasetSchema.json" + + +def test_random_solarize_op(threshold=None, plot=False): + """ + Test RandomSolarize + """ + logger.info("Test RandomSolarize") + + # First dataset + data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"]) + decode_op = vision.Decode() + + if threshold is None: + solarize_op = vision.RandomSolarize() + else: + solarize_op = vision.RandomSolarize(threshold) + data1 = data1.map(input_columns=["image"], operations=decode_op) + data1 = data1.map(input_columns=["image"], operations=solarize_op) + + # Second dataset + data2 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"]) + data2 = data2.map(input_columns=["image"], operations=decode_op) + + image_solarized = [] + image = [] + for item1, item2 in zip(data1.create_dict_iterator(), data2.create_dict_iterator()): + image_solarized.append(item1["image"].copy()) + image.append(item2["image"].copy()) + if plot: + visualize_list(image, image_solarized) + + +def test_random_solarize_md5(): + """ + Test RandomSolarize + """ + logger.info("Test RandomSolarize") + original_seed = config_get_set_seed(0) + original_num_parallel_workers = config_get_set_num_parallel_workers(1) + + data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) + decode_op = vision.Decode() + random_solarize_op = vision.RandomSolarize((10, 150)) + data1 = data1.map(input_columns=["image"], operations=decode_op) + data1 = data1.map(input_columns=["image"], operations=random_solarize_op) + # Compare with expected md5 from images + filename = "random_solarize_01_result.npz" + save_and_check_md5(data1, filename, generate_golden=GENERATE_GOLDEN) + + # Restore config setting + ds.config.set_seed(original_seed) + ds.config.set_num_parallel_workers(original_num_parallel_workers) + + +def test_random_solarize_errors(): + """ + Test that RandomSolarize errors with bad input + """ + with pytest.raises(ValueError) as error_info: + vision.RandomSolarize((12, 1)) + assert "threshold must be in min max format numbers" in str(error_info.value) + + with pytest.raises(ValueError) as error_info: + vision.RandomSolarize((12, 1000)) + assert "Input is not within the required interval of (0 to 255)." in str(error_info.value) + + with pytest.raises(TypeError) as error_info: + vision.RandomSolarize((122.1, 140)) + assert "Argument threshold[0] with value 122.1 is not of type (,)." in str(error_info.value) + + with pytest.raises(ValueError) as error_info: + vision.RandomSolarize((122, 100, 30)) + assert "threshold must be a sequence of two numbers" in str(error_info.value) + + with pytest.raises(ValueError) as error_info: + vision.RandomSolarize((120,)) + assert "threshold must be a sequence of two numbers" in str(error_info.value) + + +if __name__ == "__main__": + test_random_solarize_op((100, 100), plot=True) + test_random_solarize_op((12, 120), plot=True) + test_random_solarize_op(plot=True) + test_random_solarize_errors() + test_random_solarize_md5() -- GitLab