refactor: refactored solver into own class

src/main/java/ptrman/bpsolver/Solver2.java

@@ -0,0 +1,266 @@
+/**
+ * Copyright 2019 The SymVision authors
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+ */
+package ptrman.bpsolver;
+
+import ptrman.Datastructures.Dag;
+import ptrman.Datastructures.IMap2d;
+import ptrman.Datastructures.Vector2d;
+import ptrman.Gui.IImageDrawer;
+import ptrman.Showcases.TestClustering;
+import ptrman.bindingNars.NarsBinding;
+import ptrman.bindingNars.OpenNarsNarseseConsumer;
+import ptrman.levels.retina.*;
+import ptrman.levels.retina.helper.ProcessConnector;
+import ptrman.levels.visual.*;
+import ptrman.visualizationTests.VisualizeLinesegmentsAnnealing;
+
+import java.awt.image.BufferedImage;
+
+/**
+ * new solver which is incomplete but should be in a working state
+ */
+public class Solver2 {
+    public ProcessD processD;
+    public ProcessD[] processDEdge;
+    public ProcessConnector<ProcessA.Sample> connectorSamplesForEndosceleton;
+    public ProcessConnector<RetinaPrimitive> connectorDetectorsEndosceletonFromProcessD;
+
+    public ProcessConnector<ProcessA.Sample>[] connectorSamplesFromProcessAForEdge;
+    public ProcessConnector<RetinaPrimitive>[] connectorDetectorsFromProcessDForEdge;
+
+    public NarsBinding narsBinding;
+
+    public int annealingStep = 0;
+
+    // image drawer which is used as the source of the images, must be set to a image drawer before the solver is used!
+    public IImageDrawer imageDrawer;
+
+    public Solver2() {
+        processD = new ProcessD();
+        processD.maximalDistanceOfPositions = 5000.0;
+        processD.onlyEndoskeleton = true;
+
+        connectorSamplesForEndosceleton = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+
+        { // create NARS-binding
+            narsBinding = new NarsBinding(new OpenNarsNarseseConsumer());
+        }
+    }
+
+    /**
+     * must be called before the frame method family
+     */
+    public void preFrame() {
+        annealingStep = 0;
+
+        BufferedImage image = imageDrawer.apply(null);
+
+        Vector2d<Integer> imageSize = new Vector2d<>(image.getWidth(), image.getHeight());
+
+
+        IMap2d<ColorRgb> mapColor = TestClustering.translateFromImageToMap(image);
+
+
+
+
+
+        // setup the processing chain
+
+        VisualProcessor.ProcessingChain processingChain = new VisualProcessor.ProcessingChain();
+
+        Dag.Element newDagElement = new Dag.Element(
+                new VisualProcessor.ProcessingChain.ChainElementColorFloat(
+                        new VisualProcessor.ProcessingChain.ConvertColorRgbToGrayscaleFilter(new ColorRgb(1.0f, 1.0f, 1.0f)),
+                        "convertRgbToGrayscale",
+                        imageSize
+                )
+        );
+        //newDagElement.childIndices.add(1);
+
+        processingChain.filterChainDag.elements.add(newDagElement);
+
+            /* commented because we don't dither
+            newDagElement = new Dag.Element(
+                    new VisualProcessor.ProcessingChain.ChainElementFloatBoolean(
+                            new VisualProcessor.ProcessingChain.DitheringFilter(),
+                            "dither",
+                            imageSize
+                    )
+            );
+
+            processingChain.filterChainDag.elements.add(newDagElement);
+             */
+
+
+        processingChain.filterChain(mapColor);
+
+        IMap2d<Float> mapGrayscale = ((VisualProcessor.ProcessingChain.ApplyChainElement) processingChain.filterChainDag.elements.get(processingChain.filterChainDag.elements.size()-1).content).result; // get from last element in the chain
+
+        int numberOfEdgeDetectorDirections = 8;
+
+        // convolution
+        Map2dApplyConvolution[] edgeDetectors = new Map2dApplyConvolution[numberOfEdgeDetectorDirections];
+        for(int i=0; i<numberOfEdgeDetectorDirections;i++) {
+            edgeDetectors[i] = new Map2dApplyConvolution(Convolution2dHelper.calcGaborKernel(8, (float)i/(float)numberOfEdgeDetectorDirections * 2.0f * (float)Math.PI, 10.0f/64.0f, (float)Math.PI*0.5f, 0.4f));
+        }
+
+        IMap2d<Float>[] edges = new IMap2d[numberOfEdgeDetectorDirections];
+        for(int i=0; i<numberOfEdgeDetectorDirections;i++) { // detect edges with filters
+            edges[i] = edgeDetectors[i].process(mapGrayscale);
+        }
+
+        ProcessA[] processAEdge = new ProcessA[numberOfEdgeDetectorDirections];
+        processDEdge = new ProcessD[numberOfEdgeDetectorDirections];
+        for(int i=0; i<numberOfEdgeDetectorDirections;i++) { // create processors for edges
+            processAEdge[i] = new ProcessA();
+            processDEdge[i] = new ProcessD();
+            processDEdge[i].maximalDistanceOfPositions = 5000.0;
+        }
+
+        connectorDetectorsFromProcessDForEdge = new ProcessConnector[numberOfEdgeDetectorDirections];
+        connectorSamplesFromProcessAForEdge = new ProcessConnector[numberOfEdgeDetectorDirections];
+        for(int i=0; i<numberOfEdgeDetectorDirections;i++) { // create connectors for edges
+            connectorDetectorsFromProcessDForEdge[i] = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+            connectorSamplesFromProcessAForEdge[i] = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+        }
+
+        for(int i=0; i<numberOfEdgeDetectorDirections;i++) {
+            // copy image because processA changes the image
+
+            IMap2d<Boolean> mapBoolean = Map2dBinary.threshold(edges[i], 0.01f); // convert from edges[0]
+
+            ProcessConnector<ProcessA.Sample> connectorSamplesFromProcessA = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+            processAEdge[i].set(mapBoolean.copy(), null, connectorSamplesFromProcessAForEdge[i]);
+
+            processAEdge[i].setImageSize(imageSize);
+            processAEdge[i].setup();
+
+            processDEdge[i].setImageSize(imageSize);
+            processDEdge[i].set(connectorSamplesFromProcessAForEdge[i], connectorDetectorsFromProcessDForEdge[i]);
+
+            processAEdge[i].preProcessData();
+            processAEdge[i].processData(0.03f);
+            processAEdge[i].postProcessData();
+
+            processDEdge[i].preProcessData();
+            processDEdge[i].processData(1.0f);
+            processDEdge[i].postProcessData();
+        }
+
+        IMap2d<Boolean> mapBoolean = Map2dBinary.threshold(mapGrayscale, 0.1f); // convert from edges[0]
+
+        ProcessZFacade processZFacade = new ProcessZFacade();
+
+        final int processzNumberOfPixelsToMagnifyThreshold = 8;
+
+        final int processZGridsize = 8;
+
+        connectorSamplesForEndosceleton.workspace.clear();
+        processD.annealedCandidates.clear(); // TODO< cleanup in process with method >
+
+        processZFacade.setImageSize(imageSize);
+        processZFacade.preSetupSet(processZGridsize, processzNumberOfPixelsToMagnifyThreshold);
+        processZFacade.setup();
+
+        processZFacade.set(mapBoolean); // image doesn't need to be copied
+
+        processZFacade.preProcessData();
+        processZFacade.processData();
+        processZFacade.postProcessData();
+
+        IMap2d<Integer> notMagnifiedOutputObjectIdsMapDebug = processZFacade.getNotMagnifiedOutputObjectIds();
+
+        ProcessA processA = new ProcessA();
+        ProcessB processB = new ProcessB();
+        ProcessC processC = new ProcessC();
+
+        // copy image because processA changes the image
+        ProcessConnector<ProcessA.Sample> connectorSamplesFromProcessA = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+        processA.set(mapBoolean.copy(), processZFacade.getNotMagnifiedOutputObjectIds(), connectorSamplesFromProcessA);
+        processA.setImageSize(imageSize);
+        processA.setup();
+
+        ProcessConnector<ProcessA.Sample> conntrSamplesFromProcessB = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+        processB.set(mapBoolean.copy(), connectorSamplesFromProcessA, conntrSamplesFromProcessB);
+        processB.setImageSize(imageSize);
+        processB.setup();
+
+
+        ProcessConnector<ProcessA.Sample> conntrSamplesFromProcessC0 = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+        ProcessConnector<ProcessA.Sample> conntrSamplesFromProcessC1 = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+        processC.set(conntrSamplesFromProcessB, conntrSamplesFromProcessC0, conntrSamplesFromProcessC1);
+        processC.setImageSize(imageSize);
+        processC.setup();
+
+        connectorDetectorsEndosceletonFromProcessD = ProcessConnector.createWithDefaultQueues(ProcessConnector.EnumMode.WORKSPACE);
+
+        processD.setImageSize(imageSize);
+        connectorSamplesForEndosceleton = conntrSamplesFromProcessC0;
+        processD.set(connectorSamplesForEndosceleton, connectorDetectorsEndosceletonFromProcessD);
+
+        processA.preProcessData();
+        processA.processData(0.03f);
+        processA.postProcessData();
+
+        processB.preProcessData();
+        processB.processData();
+        processB.postProcessData();
+
+        processC.preProcessData();
+        processC.processData();
+        processC.postProcessData();
+
+        processD.preProcessData();
+        processD.processData(1.0f);
+        processD.postProcessData();
+    }
+
+    /**
+     * does one processing step for the processing of the frame
+     */
+    public void frameStep() {
+        // do annealing step of process D
+
+        processD.sampleNew();
+        processD.tryWiden();
+        processD.sortByActivationAndThrowAway();
+
+        for(int idx=0;idx<processDEdge.length;idx++) {
+            processDEdge[idx].sampleNew();
+            processDEdge[idx].tryWiden();
+            processDEdge[idx].sortByActivationAndThrowAway();
+        }
+
+        if (annealingStep >= 20) { // remove only in later phases
+            processD.removeCandidatesBelowActivation(1.1);
+
+            for(int idx=0;idx<processDEdge.length;idx++) {
+                processDEdge[idx].removeCandidatesBelowActivation(1.1);
+            }
+        }
+
+        annealingStep++;
+    }
+
+    /**
+     * must be called to "finilize" the processing of a frame
+     */
+    public void postFrame() {
+        // then emit narsese to narsese consumer
+
+        processD.commitLineDetectors(); // split line detectors into "real" primitives
+
+        for(int idx=0;idx<processDEdge.length;idx++) {
+            processDEdge[idx].commitLineDetectors();
+        }
+
+        narsBinding.emitRetinaPrimitives(connectorDetectorsEndosceletonFromProcessD.workspace); // emit all collected primitives from process D
+    }
+}