Skip to content
GitLab
Select Git revision
  • master default
  • enhancements
Find file BlameHistoryPermalink
otbImageClassifierFromDeepFeatures.cxx 4.12 KiB
1 
/*=========================================================================
2
3 
     Copyright (c) 2018-2019 IRSTEA
4 
     Copyright (c) 2020-2021 INRAE
5
6
7 
     This software is distributed WITHOUT ANY WARRANTY; without even
8 
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
9 
     PURPOSE.  See the above copyright notices for more information.
10
11 
=========================================================================*/
12 
#include "itkFixedArray.h"
13 
#include "itkObjectFactory.h"
14
15 
// Elevation handler
16 
#include "otbWrapperElevationParametersHandler.h"
17 
#include "otbWrapperApplicationFactory.h"
18 
#include "otbWrapperCompositeApplication.h"
19
20 
// Application engine
21 
#include "otbStandardFilterWatcher.h"
22 
#include "itkFixedArray.h"
23
24 
// TF (used to get the environment variable for the number of inputs)
25 
#include "otbTensorflowCommon.h"
26
27 
namespace otb
28 
{
29
30 
namespace Wrapper
31 
{
32
33 
class ImageClassifierFromDeepFeatures : public CompositeApplication
34 
{
35 
public:
36 
  /** Standard class typedefs. */
37 
  typedef ImageClassifierFromDeepFeatures              Self;
38 
  typedef Application                         Superclass;
39 
  typedef itk::SmartPointer<Self>             Pointer;
40 
  typedef itk::SmartPointer<const Self>       ConstPointer;
41
42 
  /** Standard macro */
43 
  itkNewMacro(Self);
44 
  itkTypeMacro(ImageClassifierFromDeepFeatures, otb::Wrapper::CompositeApplication);
45
46 
private:
47
48 
  //
49 
  // Add an input source, which includes:
50 
  // -an input image list
51 
  // -an input patchsize (dimensions of samples)
52 
  //
53 
  void AddAnInputImage(int inputNumber = 0)
54 
  {
55 
    inputNumber++;
56
57 
    // Create keys and descriptions
58 
    std::stringstream ss_key_group, ss_desc_group;
59 
    ss_key_group << "source" << inputNumber;
60 
    ss_desc_group << "Parameters for source " << inputNumber;
61
62 
    // Populate group
63 
    ShareParameter(ss_key_group.str(), "tfmodel." + ss_key_group.str(), ss_desc_group.str());
64 
  }
65
66
67 
  void DoInit()
68 
  {
69
70 
    SetName("ImageClassifierFromDeepFeatures");
7172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129
SetDescription("Classify image using features from a deep net and an OTB machine learning classification model"); // Documentation SetDocLongDescription("See ImageClassifier application"); SetDocLimitations("None"); SetDocAuthors("Remi Cresson"); SetDocSeeAlso(" "); AddDocTag(Tags::Learning); ClearApplications(); // Add applications AddApplication("ImageClassifier", "classif", "Images classifier" ); AddApplication("TensorflowModelServe", "tfmodel", "Serve the TF model" ); // Model shared parameters AddAnInputImage(); for (int i = 1; i < tf::GetNumberOfSources() ; i++) { AddAnInputImage(i); } ShareParameter("deepmodel", "tfmodel.model", "Deep net model parameters", "Deep net model parameters"); ShareParameter("output", "tfmodel.output", "Deep net outputs parameters", "Deep net outputs parameters"); ShareParameter("optim", "tfmodel.optim", "This group of parameters allows optimization of processing time", "This group of parameters allows optimization of processing time"); // Classify shared parameters ShareParameter("model" , "classif.model" , "Model file" , "Model file" ); ShareParameter("imstat" , "classif.imstat" , "Statistics file" , "Statistics file" ); ShareParameter("nodatalabel", "classif.nodatalabel", "Label mask value" , "Label mask value" ); ShareParameter("out" , "classif.out" , "Output image" , "Output image" ); ShareParameter("confmap" , "classif.confmap" , "Confidence map image", "Confidence map image"); ShareParameter("ram" , "classif.ram" , "Ram" , "Ram" ); } void DoUpdateParameters() { UpdateInternalParameters("classif"); } void DoExecute() { ExecuteInternal("tfmodel"); GetInternalApplication("classif")->SetParameterInputImage("in", GetInternalApplication("tfmodel")->GetParameterOutputImage("out")); UpdateInternalParameters("classif"); ExecuteInternal("classif"); } }; } // namespace Wrapper } // namespace otb OTB_APPLICATION_EXPORT( otb::Wrapper::ImageClassifierFromDeepFeatures )