CVB++ 15.0
search_predictor.hpp
1#pragma once
2
3#include "../_cexports/c_polimago.h"
4
5#include "../global.hpp"
6#include "../value_range.hpp"
7#include "../angle.hpp"
8#include "predictor_base.hpp"
9#include "search_result.hpp"
10
11#include <vector>
12
13namespace Cvb
14{
15CVB_BEGIN_INLINE_NS
16
18namespace Polimago
19{
20
23{
25 None = 0,
27 Translation = CExports::TI_Translations,
29 RotationScaleTranslation = CExports::TI_RotScaleTrans,
31 AffineGroup = CExports::TI_AffineGroup
32};
33
34// forward declaration
35namespace Training { class SearchPredictorFactory; }
36
38
41{
42private:
43 // Internal helper constructor version
44 explicit SearchPredictor (ReleaseObjectGuard&& guard) // NOLINT(cppcoreguidelines-pro-type-member-init)
45 : PredictorBase (std::move (guard))
46 , maxNumResults_(maxNumResultsDefault_)
47 {
48 CVB_CALL_CAPI (PMGetSearchClfTrainParams (Handle (), TrainingParameters(), searchTrainingParameters_));
49 InitResultBuffer ();
50 }
51
52 void InitResultBuffer()
53 {
54 pbuffer_.assign (MaxNumResults (), CExports::TSearchResult ());
55 }
56
57 // Helper to load a saved predictor from file
58 static CExports::TSCLF LoadInternal (const String & fileName)
59 {
60 CExports::TSCLF predictor = nullptr;
61
62 CVB_CALL_CAPI_CHECKED (PMOpenSearchClfTyped(fileName.c_str(), predictor));
63 return predictor;
64 }
65
66 void SaveFunction (const String &fileName) const override
67 {
68 CVB_CALL_CAPI_CHECKED (PMSaveSearchClfTyped(fileName.c_str(), Handle()));
69 }
70
71 std::string ObjectName () const override
72 {
73 return thisObjectName_;
74 }
75
76public:
78
82 explicit SearchPredictor (const String & fileName)
83 : SearchPredictor (ReleaseObjectGuard(LoadInternal (fileName)))
84 {
85 fileName_ = fileName;
86 }
87
89
96 static std::unique_ptr<SearchPredictor> FromHandle (ReleaseObjectGuard&& guard)
97 {
98 if (!guard.Handle ())
99 {
100 throw std::invalid_argument ("invalid search predictor native handle");
101 }
102 return std::unique_ptr<SearchPredictor>(new SearchPredictor(std::move(guard)));
103 }
104
106
112 {
113 return std::make_unique<SearchPredictor>(fileName);
114 }
115
117
121 int MaxNumResults() const noexcept
122 {
123 return maxNumResults_;
124 }
125
127
131 void SetMaxNumResults(int maxNumResults)
132 {
133 if (maxNumResults == maxNumResults_)
134 {
135 return;
136 }
137 if (maxNumResults < 1)
138 {
139 throw std::invalid_argument ("max num results value must be >0");
140 }
141 maxNumResults_ = maxNumResults;
142 InitResultBuffer();
143 }
144
146
150 int SampleSize() const noexcept
151 {
152 return searchTrainingParameters_.SampleSize;
153 }
154
156
167 double ExtractionRadius() const noexcept
168 {
169 return searchTrainingParameters_.InvarianceParams.XYRadius;
170 }
171
173
178 {
179 return ValueRange<Angle>(Angle::FromRadians(searchTrainingParameters_.InvarianceParams.MinAngle),
180 Angle::FromRadians(searchTrainingParameters_.InvarianceParams.MaxAngle));
181 }
182
184
189 {
190 return ValueRange<double>(searchTrainingParameters_.InvarianceParams.MinScaleMinL, searchTrainingParameters_.InvarianceParams.MaxScaleMaxL);
191 }
192
194
199 {
200 return static_cast<InvarianceType>(searchTrainingParameters_.InvarianceParams.InvarianceType);
201 }
202
204
208 int NumClassificationSteps() const noexcept
209 {
210 return searchTrainingParameters_.NumClfs;
211 }
212
214
218 int FeatureResolutionStep1And2() const noexcept
219 {
220 return searchTrainingParameters_.Resolution12;
221 }
222
224
228 int FeatureResolutionRest() const noexcept
229 {
230 return searchTrainingParameters_.ResolutionRest;
231 }
232
234
249 std::vector<SearchResult> GridSearch (const Image & img, Rect<int> aoi, double gridStep, double threshold, double locality, int &numCalls)
250 {
251 VerifyCompatibility(img);
252
253 CExports::cvbval_t numCallsOut = 0;
254 auto resultCount = CVB_CALL_CAPI (PMGridSearch(Handle(), img.Handle(), aoi.Left(), aoi.Top(), aoi.Right(), aoi.Bottom(), gridStep, threshold, locality, maxNumResults_, &pbuffer_[0], numCallsOut));
255 numCalls = static_cast<int>(numCallsOut);
256
258 for (decltype(resultCount) i = 0; i < resultCount; ++i)
259 {
260 retval.push_back (SearchResult (pbuffer_[i], Handle ()));
261 }
262 return retval;
263 }
264
266
280 std::vector<SearchResult> GridSearch (const Image & img, Rect<int> aoi, double gridStep, double threshold, double locality)
281 {
282 int numCalls = 0;
283 return GridSearch (img, aoi, gridStep, threshold, locality, numCalls);
284 }
285
287
299 bool Inspect (const Image & img, SearchResult &res, int &searchDepth)
300 {
301 VerifyCompatibility(img);
302 CExports::TSearchResult tmpRes = res.resInternal_;
303 CExports::cvbval_t tmpDepth = searchDepth;
304
305 auto retval = CVB_CALL_CAPI(PMInspect(Handle(), img.Handle(), tmpRes, tmpDepth));
306 if (retval)
307 {
308 res = SearchResult (tmpRes, Handle());
309 searchDepth = static_cast<int>(tmpDepth);
310 }
311 return retval != 0;
312 }
313
315
328 bool Inspect (const Image & img, SearchResult &res, int &searchDepth, std::vector<SearchResult> &trace)
329 {
330 VerifyCompatibility(img);
331 CExports::TSearchResult tmpRes = res.resInternal_;
332 CExports::cvbval_t tmpDepth = searchDepth;
333 CExports::TDiagnostics diag = {};
334
335 auto retval = CVB_CALL_CAPI(PMInspectD(Handle(), img.Handle(), tmpRes, tmpDepth, diag));
336 if (retval)
337 {
338 res = SearchResult (tmpRes, Handle());
339 searchDepth = static_cast<int>(tmpDepth);
340 }
341
342 trace.clear ();
343 for (int i = 0; i < searchDepth; ++i)
344 {
345 trace.push_back (SearchResult (diag[i], Handle ()));
346 }
347
348 return retval != 0;
349 }
350
352
360 {
361 return Internal::DoBoolCallObjectOut<Image>([&](void* & resimg)
362 {
363 return CVB_CALL_CAPI(PMSearchResultToImage(Handle(), sourceImage.Handle(), res.resInternal_.G, resimg));
364 });
365 }
366
370
371private:
372 static const int maxNumResultsDefault_ = 4096;
373 const std::string thisObjectName_ = "Polimago Search Predictor";
374 CExports::TTrainSearchParams searchTrainingParameters_;
375 CExports::cvbval_t maxNumResults_;
377};
378
381
382
383
384
385} /* namespace Polimago */
386CVB_END_INLINE_NS
387} /* namespace Cvb */
static Angle FromRadians(double rad, bool trim=false) noexcept
Create an angle in radians.
Definition: angle.hpp:44
The Common Vision Blox image.
Definition: decl_image.hpp:45
void * Handle() const noexcept
Classic API image handle.
Definition: decl_image.hpp:226
void * Handle() const noexcept
Classic API Polimago handle.
Definition: predictor_base.hpp:69
Base class for Polimago predictors.
Definition: predictor_base.hpp:212
Predictor that may be used for searching objects.
Definition: search_predictor.hpp:41
int NumClassificationSteps() const noexcept
Get the number of classification steps defined during training.
Definition: search_predictor.hpp:208
SearchPredictor(const String &fileName)
Load a saved Polimago search predictor from a file.
Definition: search_predictor.hpp:82
std::unique_ptr< Image > SearchResultToImage(const Image &sourceImage, SearchResult res)
Create a visual representation of a search result.
Definition: search_predictor.hpp:359
ValueRange< double > ScaleRange() const noexcept
Get the range of scale factors that was covered during classifier training.
Definition: search_predictor.hpp:188
int MaxNumResults() const noexcept
Get the maximum number of results that can be extracted in a GridSearch operation.
Definition: search_predictor.hpp:121
bool Inspect(const Image &img, SearchResult &res, int &searchDepth)
Carries out the operation that GridSearch executes for a grid point, starting at the perspective and ...
Definition: search_predictor.hpp:299
double ExtractionRadius() const noexcept
Get the radius for extracting positive search instances.
Definition: search_predictor.hpp:167
std::vector< SearchResult > GridSearch(const Image &img, Rect< int > aoi, double gridStep, double threshold, double locality)
Perform a grid search.
Definition: search_predictor.hpp:280
int FeatureResolutionStep1And2() const noexcept
Get the feature resolution to be used for the first two classification steps.
Definition: search_predictor.hpp:218
std::vector< SearchResult > GridSearch(const Image &img, Rect< int > aoi, double gridStep, double threshold, double locality, int &numCalls)
Perform a grid search.
Definition: search_predictor.hpp:249
static std::unique_ptr< SearchPredictor > Load(const String &fileName)
Load a saved predictor from a file.
Definition: search_predictor.hpp:111
static std::unique_ptr< SearchPredictor > FromHandle(ReleaseObjectGuard &&guard)
Creates predictor from a classic API handle.
Definition: search_predictor.hpp:96
bool Inspect(const Image &img, SearchResult &res, int &searchDepth, std::vector< SearchResult > &trace)
Carries out the operation that GridSearch executes for a grid point, starting at the perspective and ...
Definition: search_predictor.hpp:328
ValueRange< Angle > RotationRange() const noexcept
Get the range of angles that was covered during classifier training.
Definition: search_predictor.hpp:177
void SetMaxNumResults(int maxNumResults)
Set the maximum number of results that can be extracted in a GridSearch operation....
Definition: search_predictor.hpp:131
int FeatureResolutionRest() const noexcept
Get the feature resolution to be used for the third and later classification steps.
Definition: search_predictor.hpp:228
int SampleSize() const noexcept
Get the sample size that has been used in each training set.
Definition: search_predictor.hpp:150
InvarianceType Invariances() const noexcept
Get the invariances that have been trained on this classifier.
Definition: search_predictor.hpp:198
Search results as provided by a Search Classifier.
Definition: search_result.hpp:21
Factory class for the generation of search predictors.
Definition: search_predictor_factory.hpp:30
Container for range definitions.
Definition: value_range.hpp:17
InvarianceType
Invariance types that can be defined for training.
Definition: search_predictor.hpp:23
@ AffineGroup
Affine group (i.e. 2x2 matrix plus translation).
@ RotationScaleTranslation
Rotation + Scale + Translation.
Root namespace for the Image Manager interface.
Definition: c_barcode.h:24