-
Notifications
You must be signed in to change notification settings - Fork 3
/
RecognitionMain_DeepNetts.java
211 lines (147 loc) · 8.42 KB
/
RecognitionMain_DeepNetts.java
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
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
/**
* BagaturChess (UCI chess engine and tools)
* Copyright (C) 2005 Krasimir I. Topchiyski (k_topchiyski@yahoo.com)
*
* This file is part of BagaturChess program.
*
* BagaturChess is open software: you can redistribute it and/or modify
* it under the terms of the Eclipse Public License version 1.0 as published by
* the Eclipse Foundation.
*
* BagaturChess is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* Eclipse Public License for more details.
*
* You should have received a copy of the Eclipse Public License version 1.0
* along with BagaturChess. If not, see http://www.eclipse.org/legal/epl-v10.html
*
*/
package bagaturchess.scanner;
import java.awt.image.BufferedImage;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint2f;
import bagaturchess.scanner.common.BoardProperties;
import bagaturchess.scanner.common.IMatchingInfo;
import bagaturchess.scanner.common.MatchingInfo_BaseImpl;
import bagaturchess.scanner.common.MatrixUtils;
import bagaturchess.scanner.common.ResultPair;
import bagaturchess.scanner.computervision.preprocessing.ImagePreProcessor_Base;
import bagaturchess.scanner.computervision.preprocessing.ImagePreProcessor_OpenCV;
import bagaturchess.scanner.machinelearning.model.ProviderSwitch;
import bagaturchess.scanner.patterns.api.ImageHandlerSingleton;
import bagaturchess.scanner.patterns.api.Matcher_Base;
import bagaturchess.scanner.patterns.api.Matcher_Composite_Gray;
import bagaturchess.scanner.patterns.api.Matcher_Composite_RGB;
import bagaturchess.scanner.patterns.api.MatchingStatistics;
import bagaturchess.scanner.patterns.cnn.matchers.*;
import bagaturchess.scanner.utils.ScannerUtils;
public class RecognitionMain_DeepNetts {
private static final boolean CROP_BOARD_FROM_IMAGE = false;
public static void main(String[] args) {
try {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/preprocess/test38.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/test3.jpg");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/lichess.org/test2.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./res/cnn/chess.com/set1/pictures/test7.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./res/legendary_games/demo1.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/lichess.org/input1.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/chess24.com/input1.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/chess.com/test1.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/books/input2.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/Ismail/initial_board_cropped.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./res/cnn/books/set1/input1.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/books/set2/test2.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/books/set3/test1.png");
//Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./data/tests/chess.com/test5.png");
Object image = ImageHandlerSingleton.getInstance().loadImageFromFS("./res/others/Customers.Boards/lichess_set1_a.jpg");
long startTime = System.currentTimeMillis();
//Preprocessing image
BoardProperties boardProperties_processor = new BoardProperties(512);
image = ImageHandlerSingleton.getInstance().resizeImage(image, boardProperties_processor.getImageSize());
ImageHandlerSingleton.getInstance().saveImage("OpenCV_board_input", "png", image);
/*if (true) {
int[][] matrixOfInitialBoard = ScannerUtils.convertToGrayMatrix((BufferedImage) image);
int[][] rotated = MatrixUtils.rotateMatrix(matrixOfInitialBoard, 1, 255);
int[][][] rgbBoard = MatrixUtils.convertTo3ChannelsGray(rotated);
Object rotated_image = ScannerUtils.createRGBImage(rgbBoard);
ImageHandlerSingleton.getInstance().saveImage("OpenCV_board_rotated", "png", rotated_image);
System.out.println("done");
System.exit(0);
}*/
Object forMatching = image;
if (CROP_BOARD_FROM_IMAGE) {
ImagePreProcessor_Base processor_opencv = new ImagePreProcessor_OpenCV(boardProperties_processor);
MatOfPoint2f boardCorners = processor_opencv.filter(image);
if (boardCorners != null) {
Mat extractedBoard = (Mat) processor_opencv.extractBoard(image, boardCorners);
forMatching = (BufferedImage) ImageHandlerSingleton.getInstance().mat2Graphic(extractedBoard);
ImageHandlerSingleton.getInstance().saveImage("OpenCV_board_croped", "png", forMatching);
System.out.println("Chess board extracted in " + (System.currentTimeMillis() - startTime) + "ms");
} else {
System.out.println("Cannot extract chess board from image and will use the original image.");
}
}
ProviderSwitch.MLFrameworkName = "deepnetts";
BoardProperties matcherBoardProperties = new BoardProperties(256);
Object cropedProcessedImage = ImageHandlerSingleton.getInstance().resizeImage(forMatching, matcherBoardProperties.getImageSize());
//Create composite matcher
List<String> netsNames = new ArrayList<String>();
netsNames.add("dnet_books_set_1_extended.dnet");
netsNames.add("dnet_books_set_2_extended.dnet");
netsNames.add("dnet_books_set_3_extended.dnet");
netsNames.add("dnet_chess24com_set_1_extended.dnet");
netsNames.add("dnet_chesscom_set_1_extended.dnet");
netsNames.add("dnet_chesscom_set_2_extended.dnet");
netsNames.add("dnet_lichessorg_set_1_extended.dnet");
netsNames.add("dnet_universal_extended.dnet");
Matcher_Base matcher = new Matcher_Composite_RGB(
matcherBoardProperties.getImageSize(),
netsNames,
createStreams(netsNames),
createMatchers(matcherBoardProperties, netsNames)
);
//Start matching
IMatchingInfo matchingInfo = new MatchingInfo_BaseImpl();
startTime = System.currentTimeMillis();
//int[][][] rgbBoard = ScannerUtils.convertToRGBMatrix((BufferedImage) cropedProcessedImage);
int[][] grayBoard = ScannerUtils.convertToGrayMatrix((BufferedImage) cropedProcessedImage);
int[][][] rgbBoard = MatrixUtils.convertTo3ChannelsGray(grayBoard);
ImageHandlerSingleton.getInstance().saveImage("OpenCV_board_" + matcherBoardProperties.getImageSize(), "png", ScannerUtils.createRGBImage(rgbBoard));
ResultPair<String, MatchingStatistics> result = matcher.scan(rgbBoard, matchingInfo);
System.out.println(result.getFirst() + " " + result.getSecond().totalDelta + " " + (System.currentTimeMillis() - startTime) + "ms");
System.exit(0);
} catch (Exception e) {
e.printStackTrace();
}
}
private static Map<String, Matcher_Base> createMatchers(
BoardProperties matcherBoardProperties,
List<String> netsNames)
throws FileNotFoundException, ClassNotFoundException, IOException {
Map<String, Matcher_Base> matchers = new HashMap<String, Matcher_Base>();
List<InputStream> netsStreams = createStreams(netsNames);
for (int i = 0; i < netsNames.size(); i++) {
String net_name = netsNames.get(i);
matchers.put(net_name, new Matcher_RGB(new BoardProperties(matcherBoardProperties.getImageSize(), null), net_name, netsStreams.get(i)));
}
return matchers;
}
private static List<InputStream> createStreams(List<String> netsNames) throws FileNotFoundException {
List<InputStream> netsStreams = new ArrayList<InputStream>();
for (int i = 0; i < netsNames.size(); i++) {
netsStreams.add(new FileInputStream(netsNames.get(i)));
}
return netsStreams;
}
}