1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
|
/*
* Copyright (C) 2005-2022 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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 "otbImageClassificationFilter.h"
#include "otbVectorImage.h"
#include "otbImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "otbMachineLearningModelFactory.h"
const unsigned int Dimension = 2;
typedef double PixelType;
typedef unsigned short LabeledPixelType;
typedef otb::VectorImage<PixelType, Dimension> ImageType;
typedef otb::Image<LabeledPixelType, Dimension> LabeledImageType;
typedef otb::ImageClassificationFilter<ImageType, LabeledImageType> ClassificationFilterType;
typedef ClassificationFilterType::ModelType ModelType;
typedef ClassificationFilterType::ValueType ValueType;
typedef ClassificationFilterType::LabelType LabelType;
typedef otb::MachineLearningModelFactory<ValueType, LabelType> MachineLearningModelFactoryType;
typedef otb::ImageFileReader<ImageType> ReaderType;
typedef otb::ImageFileWriter<LabeledImageType> WriterType;
int otbImageClassificationFilterLoadModel(int itkNotUsed(argc), char* argv[])
{
const char* infname = argv[1];
const char* modelfname = argv[2];
// Instantiating object
ClassificationFilterType::Pointer filter = ClassificationFilterType::New();
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(infname);
ModelType::Pointer model;
model = MachineLearningModelFactoryType::CreateMachineLearningModel(modelfname, MachineLearningModelFactoryType::ReadMode);
if (model.IsNull())
{
std::cerr << "Unable to create a model from " << modelfname << std::endl;
return EXIT_FAILURE;
}
model->Load(modelfname);
return EXIT_SUCCESS;
}
int otbImageClassificationFilter(int itkNotUsed(argc), char* argv[])
{
const char* infname = argv[1];
const char* modelfname = argv[2];
const char* outfname = argv[3];
// Instantiating object
ClassificationFilterType::Pointer filter = ClassificationFilterType::New();
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(infname);
ModelType::Pointer model;
model = MachineLearningModelFactoryType::CreateMachineLearningModel(modelfname, MachineLearningModelFactoryType::ReadMode);
if (model.IsNull())
{
std::cerr << "Unable to create a model from " << modelfname << std::endl;
return EXIT_FAILURE;
}
model->Load(modelfname);
filter->SetModel(model);
filter->SetInput(reader->GetOutput());
WriterType::Pointer writer = WriterType::New();
writer->SetInput(filter->GetOutput());
writer->SetFileName(outfname);
writer->Update();
return EXIT_SUCCESS;
}
|
