1 /**
2 * Copyright 2020-2021 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 <algorithm>
17
18 #include "minddata/dataset/kernels/ir/vision/auto_contrast_ir.h"
19
20 #ifndef ENABLE_ANDROID
21 #include "minddata/dataset/kernels/image/auto_contrast_op.h"
22 #endif
23
24 #include "minddata/dataset/kernels/ir/validators.h"
25
26 namespace mindspore {
27 namespace dataset {
28 namespace vision {
29 #ifndef ENABLE_ANDROID
30 // AutoContrastOperation
AutoContrastOperation(float cutoff,const std::vector<uint32_t> & ignore)31 AutoContrastOperation::AutoContrastOperation(float cutoff, const std::vector<uint32_t> &ignore)
32 : cutoff_(cutoff), ignore_(ignore) {}
33
34 AutoContrastOperation::~AutoContrastOperation() = default;
35
Name() const36 std::string AutoContrastOperation::Name() const { return kAutoContrastOperation; }
37
ValidateParams()38 Status AutoContrastOperation::ValidateParams() {
39 if (cutoff_ < 0 || cutoff_ > 100) {
40 std::string err_msg = "AutoContrast: cutoff has to be between 0 and 100, got: " + std::to_string(cutoff_);
41 MS_LOG(ERROR) << err_msg;
42 RETURN_STATUS_SYNTAX_ERROR(err_msg);
43 }
44
45 constexpr uint32_t kMaxIgnoreSize = 255;
46 for (uint32_t single_ignore : ignore_) {
47 if (single_ignore > kMaxIgnoreSize) {
48 std::string err_msg =
49 "AutoContrast: invalid size, ignore has to be between 0 and 255, got: " + std::to_string(single_ignore);
50 MS_LOG(ERROR) << err_msg;
51 RETURN_STATUS_SYNTAX_ERROR(err_msg);
52 }
53 }
54 return Status::OK();
55 }
56
Build()57 std::shared_ptr<TensorOp> AutoContrastOperation::Build() {
58 std::shared_ptr<AutoContrastOp> tensor_op = std::make_shared<AutoContrastOp>(cutoff_, ignore_);
59 return tensor_op;
60 }
61
to_json(nlohmann::json * out_json)62 Status AutoContrastOperation::to_json(nlohmann::json *out_json) {
63 nlohmann::json args;
64 args["cutoff"] = cutoff_;
65 args["ignore"] = ignore_;
66 *out_json = args;
67 return Status::OK();
68 }
69
from_json(nlohmann::json op_params,std::shared_ptr<TensorOperation> * operation)70 Status AutoContrastOperation::from_json(nlohmann::json op_params, std::shared_ptr<TensorOperation> *operation) {
71 CHECK_FAIL_RETURN_UNEXPECTED(op_params.find("cutoff") != op_params.end(), "Failed to find cutoff");
72 CHECK_FAIL_RETURN_UNEXPECTED(op_params.find("ignore") != op_params.end(), "Failed to find ignore");
73 float cutoff = op_params["cutoff"];
74 std::vector<uint32_t> ignore = op_params["ignore"];
75 *operation = std::make_shared<vision::AutoContrastOperation>(cutoff, ignore);
76 return Status::OK();
77 }
78
79 #endif
80 } // namespace vision
81 } // namespace dataset
82 } // namespace mindspore
83