├── .gitattributes
├── Images
    ├── Example_Image.png
    ├── Example_Image_different_cute_kittens.png
    └── binance.jpg
├── JavaFX-OpenCV
    ├── .classpath
    ├── .project
    ├── bin
    │   └── application
    │   │   ├── FXController$1.class
    │   │   ├── FXController.class
    │   │   ├── FirstJFX.fxml
    │   │   ├── Main$1.class
    │   │   ├── Main.class
    │   │   └── application.css
    ├── build.fxbuild
    ├── lbpcascade_frontalface.xml
    └── src
    │   └── application
    │       ├── FXController.java
    │       ├── FirstJFX.fxml
    │       ├── Main.java
    │       └── application.css
├── LICENSE
└── README.md


/.gitattributes:
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 1 | # Auto detect text files and perform LF normalization
 2 | * text=auto
 3 | 
 4 | # Custom for Visual Studio
 5 | *.cs     diff=csharp
 6 | 
 7 | # Standard to msysgit
 8 | *.doc	 diff=astextplain
 9 | *.DOC	 diff=astextplain
10 | *.docx diff=astextplain
11 | *.DOCX diff=astextplain
12 | *.dot  diff=astextplain
13 | *.DOT  diff=astextplain
14 | *.pdf  diff=astextplain
15 | *.PDF	 diff=astextplain
16 | *.rtf	 diff=astextplain
17 | *.RTF	 diff=astextplain
18 | 


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/Images/Example_Image.png:
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https://raw.githubusercontent.com/IDouble/Cat-Face-Detector-with-OpenCV-and-JavaFX/e0672163b85e196c2350137ab994a46178312e09/Images/Example_Image.png


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/Images/Example_Image_different_cute_kittens.png:
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https://raw.githubusercontent.com/IDouble/Cat-Face-Detector-with-OpenCV-and-JavaFX/e0672163b85e196c2350137ab994a46178312e09/Images/Example_Image_different_cute_kittens.png


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/Images/binance.jpg:
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https://raw.githubusercontent.com/IDouble/Cat-Face-Detector-with-OpenCV-and-JavaFX/e0672163b85e196c2350137ab994a46178312e09/Images/binance.jpg


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/JavaFX-OpenCV/.classpath:
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1 | <?xml version="1.0" encoding="UTF-8"?>
2 | <classpath>
3 | 	<classpathentry kind="src" path="src"/>
4 | 	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER"/>
5 | 	<classpathentry kind="con" path="org.eclipse.jdt.USER_LIBRARY/OpenCV3"/>
6 | 	<classpathentry kind="con" path="org.eclipse.fx.ide.jdt.core.JAVAFX_CONTAINER"/>
7 | 	<classpathentry kind="output" path="bin"/>
8 | </classpath>
9 | 


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/JavaFX-OpenCV/.project:
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 1 | <?xml version="1.0" encoding="UTF-8"?>
 2 | <projectDescription>
 3 | 	<name>JavaFX-OpenCV</name>
 4 | 	<comment></comment>
 5 | 	<projects>
 6 | 	</projects>
 7 | 	<buildSpec>
 8 | 		<buildCommand>
 9 | 			<name>org.eclipse.jdt.core.javabuilder</name>
10 | 			<arguments>
11 | 			</arguments>
12 | 		</buildCommand>
13 | 		<buildCommand>
14 | 			<name>org.eclipse.xtext.ui.shared.xtextBuilder</name>
15 | 			<arguments>
16 | 			</arguments>
17 | 		</buildCommand>
18 | 	</buildSpec>
19 | 	<natures>
20 | 		<nature>org.eclipse.xtext.ui.shared.xtextNature</nature>
21 | 		<nature>org.eclipse.jdt.core.javanature</nature>
22 | 	</natures>
23 | </projectDescription>
24 | 


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/JavaFX-OpenCV/bin/application/FXController$1.class:
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https://raw.githubusercontent.com/IDouble/Cat-Face-Detector-with-OpenCV-and-JavaFX/e0672163b85e196c2350137ab994a46178312e09/JavaFX-OpenCV/bin/application/FXController$1.class


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/JavaFX-OpenCV/bin/application/FXController.class:
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https://raw.githubusercontent.com/IDouble/Cat-Face-Detector-with-OpenCV-and-JavaFX/e0672163b85e196c2350137ab994a46178312e09/JavaFX-OpenCV/bin/application/FXController.class


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/JavaFX-OpenCV/bin/application/FirstJFX.fxml:
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 1 | <?xml version="1.0" encoding="UTF-8"?>
 2 | 
 3 | <?import java.lang.*?>
 4 | <?import javafx.geometry.*?>
 5 | <?import javafx.scene.control.*?>
 6 | <?import javafx.scene.image.*?>
 7 | <?import javafx.scene.layout.*?>
 8 | <?import javafx.scene.text.*?>
 9 | <?import javafx.geometry.Insets?>
10 | <?import javafx.scene.control.Button?>
11 | <?import javafx.scene.image.ImageView?>
12 | <?import javafx.scene.layout.BorderPane?>
13 | <?import javafx.scene.layout.HBox?>
14 | <?import javafx.scene.layout.Pane?>
15 | <?import javafx.scene.text.Text?>
16 | 
17 | <BorderPane prefHeight="339.0" prefWidth="464.0" xmlns="http://javafx.com/javafx/8" xmlns:fx="http://javafx.com/fxml/1" fx:controller="application.FXController">
18 |    <bottom>
19 |       <HBox alignment="center">
20 |          <padding>
21 |             <Insets bottom="25" left="25" right="25" top="25" />
22 |          </padding>
23 |          <children>
24 |             <Button fx:id="button" alignment="center" onAction="#startCamera" text="Start Camera" />
25 |             <Text strokeType="OUTSIDE" strokeWidth="0.0" text="  FPS:  " />
26 |             <Text fx:id="fps" strokeType="OUTSIDE" strokeWidth="0.0" />
27 |          </children>
28 |       </HBox>
29 |    </bottom>
30 |    <center>
31 |       <Pane fx:id="ImageViewPane" minHeight="200.0" minWidth="200.0" BorderPane.alignment="CENTER">
32 |          <children>
33 |             <ImageView fx:id="currentFrame" />
34 |          </children>
35 |       </Pane>
36 |    </center>
37 | </BorderPane>
38 | 


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/JavaFX-OpenCV/bin/application/Main$1.class:
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https://raw.githubusercontent.com/IDouble/Cat-Face-Detector-with-OpenCV-and-JavaFX/e0672163b85e196c2350137ab994a46178312e09/JavaFX-OpenCV/bin/application/Main$1.class


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/JavaFX-OpenCV/bin/application/Main.class:
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https://raw.githubusercontent.com/IDouble/Cat-Face-Detector-with-OpenCV-and-JavaFX/e0672163b85e196c2350137ab994a46178312e09/JavaFX-OpenCV/bin/application/Main.class


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/JavaFX-OpenCV/bin/application/application.css:
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1 | /* JavaFX CSS - Leave this comment until you have at least create one rule which uses -fx-Property */


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/JavaFX-OpenCV/build.fxbuild:
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1 | <?xml version="1.0" encoding="ASCII"?>
2 | <anttasks:AntTask xmi:version="2.0" xmlns:xmi="http://www.omg.org/XMI" xmlns:anttasks="http://org.eclipse.fx.ide.jdt/1.0" buildDirectory="${project}/build">
3 |   <deploy>
4 |     <application name="JavaFX-OpenCV"/>
5 |     <info/>
6 |   </deploy>
7 |   <signjar/>
8 | </anttasks:AntTask>
9 | 


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/JavaFX-OpenCV/lbpcascade_frontalface.xml:
--------------------------------------------------------------------------------
   1 | <?xml version="1.0"?>
   2 | <!--
   3 | number of positive samples 3000
   4 | number of negative samples 1500
   5 | -->
   6 | <opencv_storage>
   7 | <cascade type_id="opencv-cascade-classifier">
   8 |   <stageType>BOOST</stageType>
   9 |   <featureType>LBP</featureType>
  10 |   <height>24</height>
  11 |   <width>24</width>
  12 |   <stageParams>
  13 |     <boostType>GAB</boostType>
  14 |     <minHitRate>0.9950000047683716</minHitRate>
  15 |     <maxFalseAlarm>0.5000000000000000</maxFalseAlarm>
  16 |     <weightTrimRate>0.9500000000000000</weightTrimRate>
  17 |     <maxDepth>1</maxDepth>
  18 |     <maxWeakCount>100</maxWeakCount></stageParams>
  19 |   <featureParams>
  20 |     <maxCatCount>256</maxCatCount></featureParams>
  21 |   <stageNum>20</stageNum>
  22 |   <stages>
  23 |     <!-- stage 0 -->
  24 |     <_>
  25 |       <maxWeakCount>3</maxWeakCount>
  26 |       <stageThreshold>-0.7520892024040222</stageThreshold>
  27 |       <weakClassifiers>
  28 |         <!-- tree 0 -->
  29 |         <_>
  30 |           <internalNodes>
  31 |             0 -1 46 -67130709 -21569 -1426120013 -1275125205 -21585
  32 |             -16385 587145899 -24005</internalNodes>
  33 |           <leafValues>
  34 |             -0.6543210148811340 0.8888888955116272</leafValues></_>
  35 |         <!-- tree 1 -->
  36 |         <_>
  37 |           <internalNodes>
  38 |             0 -1 13 -163512766 -769593758 -10027009 -262145 -514457854
  39 |             -193593353 -524289 -1</internalNodes>
  40 |           <leafValues>
  41 |             -0.7739216089248657 0.7278633713722229</leafValues></_>
  42 |         <!-- tree 2 -->
  43 |         <_>
  44 |           <internalNodes>
  45 |             0 -1 2 -363936790 -893203669 -1337948010 -136907894
  46 |             1088782736 -134217726 -741544961 -1590337</internalNodes>
  47 |           <leafValues>
  48 |             -0.7068563103675842 0.6761534214019775</leafValues></_></weakClassifiers></_>
  49 |     <!-- stage 1 -->
  50 |     <_>
  51 |       <maxWeakCount>4</maxWeakCount>
  52 |       <stageThreshold>-0.4872078299522400</stageThreshold>
  53 |       <weakClassifiers>
  54 |         <!-- tree 0 -->
  55 |         <_>
  56 |           <internalNodes>
  57 |             0 -1 84 2147483647 1946124287 -536870913 2147450879
  58 |             738132490 1061101567 243204619 2147446655</internalNodes>
  59 |           <leafValues>
  60 |             -0.8083735704421997 0.7685696482658386</leafValues></_>
  61 |         <!-- tree 1 -->
  62 |         <_>
  63 |           <internalNodes>
  64 |             0 -1 21 2147483647 263176079 1879048191 254749487 1879048191
  65 |             -134252545 -268435457 801111999</internalNodes>
  66 |           <leafValues>
  67 |             -0.7698410153388977 0.6592915654182434</leafValues></_>
  68 |         <!-- tree 2 -->
  69 |         <_>
  70 |           <internalNodes>
  71 |             0 -1 106 -98110272 1610939566 -285484400 -850010381
  72 |             -189334372 -1671954433 -571026695 -262145</internalNodes>
  73 |           <leafValues>
  74 |             -0.7506558895111084 0.5444605946540833</leafValues></_>
  75 |         <!-- tree 3 -->
  76 |         <_>
  77 |           <internalNodes>
  78 |             0 -1 48 -798690576 -131075 1095771153 -237144073 -65569 -1
  79 |             -216727745 -69206049</internalNodes>
  80 |           <leafValues>
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  82 |     <!-- stage 2 -->
  83 |     <_>
  84 |       <maxWeakCount>4</maxWeakCount>
  85 |       <stageThreshold>-1.1592328548431396</stageThreshold>
  86 |       <weakClassifiers>
  87 |         <!-- tree 0 -->
  88 |         <_>
  89 |           <internalNodes>
  90 |             0 -1 47 -21585 -20549 -100818262 -738254174 -20561 -36865
  91 |             -151016790 -134238549</internalNodes>
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  94 |         <!-- tree 1 -->
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  98 |             -402686081 1090387966 -286785545 -402653185</internalNodes>
  99 |           <leafValues>
 100 |             -0.6124526262283325 0.6978127956390381</leafValues></_>
 101 |         <!-- tree 2 -->
 102 |         <_>
 103 |           <internalNodes>
 104 |             0 -1 26 -50347012 970882927 -50463492 -1253377 -134218251
 105 |             -50364513 -33619992 -172490753</internalNodes>
 106 |           <leafValues>
 107 |             -0.6114496588706970 0.6537628173828125</leafValues></_>
 108 |         <!-- tree 3 -->
 109 |         <_>
 110 |           <internalNodes>
 111 |             0 -1 8 -273 -135266321 1877977738 -2088243418 -134217987
 112 |             2146926575 -18910642 1095231247</internalNodes>
 113 |           <leafValues>
 114 |             -0.6854077577590942 0.5403239130973816</leafValues></_></weakClassifiers></_>
 115 |     <!-- stage 3 -->
 116 |     <_>
 117 |       <maxWeakCount>5</maxWeakCount>
 118 |       <stageThreshold>-0.7562355995178223</stageThreshold>
 119 |       <weakClassifiers>
 120 |         <!-- tree 0 -->
 121 |         <_>
 122 |           <internalNodes>
 123 |             0 -1 96 -1273 1870659519 -20971602 -67633153 -134250731
 124 |             2004875127 -250 -150995969</internalNodes>
 125 |           <leafValues>
 126 |             -0.4051094949245453 0.7584033608436585</leafValues></_>
 127 |         <!-- tree 1 -->
 128 |         <_>
 129 |           <internalNodes>
 130 |             0 -1 33 -868162224 -76810262 -4262145 -257 1465211989
 131 |             -268959873 -2656269 -524289</internalNodes>
 132 |           <leafValues>
 133 |             -0.7388162612915039 0.5340843200683594</leafValues></_>
 134 |         <!-- tree 2 -->
 135 |         <_>
 136 |           <internalNodes>
 137 |             0 -1 57 -12817 -49 -541103378 -152950 -38993 -20481 -1153876
 138 |             -72478976</internalNodes>
 139 |           <leafValues>
 140 |             -0.6582943797111511 0.5339496731758118</leafValues></_>
 141 |         <!-- tree 3 -->
 142 |         <_>
 143 |           <internalNodes>
 144 |             0 -1 125 -269484161 -452984961 -319816180 -1594032130 -2111
 145 |             -990117891 -488975296 -520947741</internalNodes>
 146 |           <leafValues>
 147 |             -0.5981323719024658 0.5323504805564880</leafValues></_>
 148 |         <!-- tree 4 -->
 149 |         <_>
 150 |           <internalNodes>
 151 |             0 -1 53 557787431 670265215 -1342193665 -1075892225
 152 |             1998528318 1056964607 -33570977 -1</internalNodes>
 153 |           <leafValues>
 154 |             -0.6498787999153137 0.4913350641727448</leafValues></_></weakClassifiers></_>
 155 |     <!-- stage 4 -->
 156 |     <_>
 157 |       <maxWeakCount>5</maxWeakCount>
 158 |       <stageThreshold>-0.8085358142852783</stageThreshold>
 159 |       <weakClassifiers>
 160 |         <!-- tree 0 -->
 161 |         <_>
 162 |           <internalNodes>
 163 |             0 -1 60 -536873708 880195381 -16842788 -20971521 -176687276
 164 |             -168427659 -16777260 -33554626</internalNodes>
 165 |           <leafValues>
 166 |             -0.5278195738792419 0.6946372389793396</leafValues></_>
 167 |         <!-- tree 1 -->
 168 |         <_>
 169 |           <internalNodes>
 170 |             0 -1 7 -1 -62981529 -1090591130 805330978 -8388827 -41945787
 171 |             -39577 -531118985</internalNodes>
 172 |           <leafValues>
 173 |             -0.5206505060195923 0.6329920291900635</leafValues></_>
 174 |         <!-- tree 2 -->
 175 |         <_>
 176 |           <internalNodes>
 177 |             0 -1 98 -725287348 1347747543 -852489 -16809993 1489881036
 178 |             -167903241 -1 -1</internalNodes>
 179 |           <leafValues>
 180 |             -0.7516061067581177 0.4232024252414703</leafValues></_>
 181 |         <!-- tree 3 -->
 182 |         <_>
 183 |           <internalNodes>
 184 |             0 -1 44 -32777 1006582562 -65 935312171 -8388609 -1078198273
 185 |             -1 733886267</internalNodes>
 186 |           <leafValues>
 187 |             -0.7639313936233521 0.4123568832874298</leafValues></_>
 188 |         <!-- tree 4 -->
 189 |         <_>
 190 |           <internalNodes>
 191 |             0 -1 24 -85474705 2138828511 -1036436754 817625855
 192 |             1123369029 -58796809 -1013468481 -194513409</internalNodes>
 193 |           <leafValues>
 194 |             -0.5123769044876099 0.5791834592819214</leafValues></_></weakClassifiers></_>
 195 |     <!-- stage 5 -->
 196 |     <_>
 197 |       <maxWeakCount>5</maxWeakCount>
 198 |       <stageThreshold>-0.5549971461296082</stageThreshold>
 199 |       <weakClassifiers>
 200 |         <!-- tree 0 -->
 201 |         <_>
 202 |           <internalNodes>
 203 |             0 -1 42 -17409 -20481 -268457797 -134239493 -17473 -1 -21829
 204 |             -21846</internalNodes>
 205 |           <leafValues>
 206 |             -0.3763174116611481 0.7298233509063721</leafValues></_>
 207 |         <!-- tree 1 -->
 208 |         <_>
 209 |           <internalNodes>
 210 |             0 -1 6 -805310737 -2098262358 -269504725 682502698
 211 |             2147483519 1740574719 -1090519233 -268472385</internalNodes>
 212 |           <leafValues>
 213 |             -0.5352765917778015 0.5659480094909668</leafValues></_>
 214 |         <!-- tree 2 -->
 215 |         <_>
 216 |           <internalNodes>
 217 |             0 -1 61 -67109678 -6145 -8 -87884584 -20481 -1073762305
 218 |             -50856216 -16849696</internalNodes>
 219 |           <leafValues>
 220 |             -0.5678374171257019 0.4961479902267456</leafValues></_>
 221 |         <!-- tree 3 -->
 222 |         <_>
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 224 |             0 -1 123 -138428633 1002418167 -1359008245 -1908670465
 225 |             -1346685918 910098423 -1359010520 -1346371657</internalNodes>
 226 |           <leafValues>
 227 |             -0.5706262588500977 0.4572288393974304</leafValues></_>
 228 |         <!-- tree 4 -->
 229 |         <_>
 230 |           <internalNodes>
 231 |             0 -1 9 -89138513 -4196353 1256531674 -1330665426 1216308261
 232 |             -36190633 33498198 -151796633</internalNodes>
 233 |           <leafValues>
 234 |             -0.5344601869583130 0.4672054052352905</leafValues></_></weakClassifiers></_>
 235 |     <!-- stage 6 -->
 236 |     <_>
 237 |       <maxWeakCount>5</maxWeakCount>
 238 |       <stageThreshold>-0.8776460289955139</stageThreshold>
 239 |       <weakClassifiers>
 240 |         <!-- tree 0 -->
 241 |         <_>
 242 |           <internalNodes>
 243 |             0 -1 105 1073769576 206601725 -34013449 -33554433 -789514004
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 245 |           <leafValues>
 246 |             -0.7700348496437073 0.5943940877914429</leafValues></_>
 247 |         <!-- tree 1 -->
 248 |         <_>
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 250 |             0 -1 30 -1432340997 -823623681 -49153 -34291724 -269484035
 251 |             -1342767105 -1078198273 -1277955</internalNodes>
 252 |           <leafValues>
 253 |             -0.5043668746948242 0.6151274442672730</leafValues></_>
 254 |         <!-- tree 2 -->
 255 |         <_>
 256 |           <internalNodes>
 257 |             0 -1 35 -1067385040 -195758209 -436748425 -134217731
 258 |             -50855988 -129 -1 -1</internalNodes>
 259 |           <leafValues>
 260 |             -0.6808040738105774 0.4667325913906097</leafValues></_>
 261 |         <!-- tree 3 -->
 262 |         <_>
 263 |           <internalNodes>
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 268 |         <!-- tree 4 -->
 269 |         <_>
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 271 |             0 -1 82 -1089439888 -1080524865 2143059967 -1114121
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 273 |           <leafValues>
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 275 |     <!-- stage 7 -->
 276 |     <_>
 277 |       <maxWeakCount>6</maxWeakCount>
 278 |       <stageThreshold>-1.1139287948608398</stageThreshold>
 279 |       <weakClassifiers>
 280 |         <!-- tree 0 -->
 281 |         <_>
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 287 |         <!-- tree 1 -->
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 294 |         <!-- tree 2 -->
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 301 |         <!-- tree 3 -->
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 303 |           <internalNodes>
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 308 |         <!-- tree 4 -->
 309 |         <_>
 310 |           <internalNodes>
 311 |             0 -1 92 1016332500 -606301707 915094269 -1080086049
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 313 |           <leafValues>
 314 |             -0.5695009231567383 0.4460467398166657</leafValues></_>
 315 |         <!-- tree 5 -->
 316 |         <_>
 317 |           <internalNodes>
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 320 |           <leafValues>
 321 |             -0.6590405106544495 0.3616424500942230</leafValues></_></weakClassifiers></_>
 322 |     <!-- stage 8 -->
 323 |     <_>
 324 |       <maxWeakCount>7</maxWeakCount>
 325 |       <stageThreshold>-0.8243625760078430</stageThreshold>
 326 |       <weakClassifiers>
 327 |         <!-- tree 0 -->
 328 |         <_>
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 334 |         <!-- tree 1 -->
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 341 |         <!-- tree 2 -->
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 348 |         <!-- tree 3 -->
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 355 |         <!-- tree 4 -->
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 362 |         <!-- tree 5 -->
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 369 |         <!-- tree 6 -->
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 376 |     <!-- stage 9 -->
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 380 |       <weakClassifiers>
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 388 |         <!-- tree 1 -->
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 395 |         <!-- tree 2 -->
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 402 |         <!-- tree 3 -->
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 409 |         <!-- tree 4 -->
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 416 |         <!-- tree 5 -->
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 423 |         <!-- tree 6 -->
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 430 |     <!-- stage 10 -->
 431 |     <_>
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 442 |         <!-- tree 1 -->
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 449 |         <!-- tree 2 -->
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 456 |         <!-- tree 3 -->
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 463 |         <!-- tree 4 -->
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 470 |         <!-- tree 5 -->
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 477 |         <!-- tree 6 -->
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 484 |     <!-- stage 11 -->
 485 |     <_>
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 496 |         <!-- tree 1 -->
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 503 |         <!-- tree 2 -->
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 510 |         <!-- tree 3 -->
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 517 |         <!-- tree 4 -->
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 524 |         <!-- tree 5 -->
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 531 |         <!-- tree 6 -->
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 538 |     <!-- stage 12 -->
 539 |     <_>
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 550 |         <!-- tree 1 -->
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 564 |         <!-- tree 3 -->
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 571 |         <!-- tree 4 -->
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 578 |         <!-- tree 5 -->
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 585 |         <!-- tree 6 -->
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 592 |         <!-- tree 7 -->
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 599 |     <!-- stage 13 -->
 600 |     <_>
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 603 |       <weakClassifiers>
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 611 |         <!-- tree 1 -->
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 618 |         <!-- tree 2 -->
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 625 |         <!-- tree 3 -->
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 632 |         <!-- tree 4 -->
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 639 |         <!-- tree 5 -->
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 646 |         <!-- tree 6 -->
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 653 |         <!-- tree 7 -->
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 660 |         <!-- tree 8 -->
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 667 |     <!-- stage 14 -->
 668 |     <_>
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 679 |         <!-- tree 1 -->
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 686 |         <!-- tree 2 -->
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 693 |         <!-- tree 3 -->
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 700 |         <!-- tree 4 -->
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 707 |         <!-- tree 5 -->
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 714 |         <!-- tree 6 -->
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 721 |         <!-- tree 7 -->
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 728 |         <!-- tree 8 -->
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 735 |         <!-- tree 9 -->
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 742 |     <!-- stage 15 -->
 743 |     <_>
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 754 |         <!-- tree 1 -->
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 761 |         <!-- tree 2 -->
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 768 |         <!-- tree 3 -->
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 775 |         <!-- tree 4 -->
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 782 |         <!-- tree 5 -->
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 789 |         <!-- tree 6 -->
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 796 |         <!-- tree 7 -->
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 803 |         <!-- tree 8 -->
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 810 |     <!-- stage 16 -->
 811 |     <_>
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 822 |         <!-- tree 1 -->
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 829 |         <!-- tree 2 -->
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1441 |         14 2 3 2</rect></_>
1442 |     <_>
1443 |       <rect>
1444 |         14 7 2 1</rect></_>
1445 |     <_>
1446 |       <rect>
1447 |         14 13 2 1</rect></_>
1448 |     <_>
1449 |       <rect>
1450 |         14 13 3 3</rect></_>
1451 |     <_>
1452 |       <rect>
1453 |         14 17 2 2</rect></_>
1454 |     <_>
1455 |       <rect>
1456 |         15 0 2 2</rect></_>
1457 |     <_>
1458 |       <rect>
1459 |         15 0 2 3</rect></_>
1460 |     <_>
1461 |       <rect>
1462 |         15 4 3 2</rect></_>
1463 |     <_>
1464 |       <rect>
1465 |         15 4 3 6</rect></_>
1466 |     <_>
1467 |       <rect>
1468 |         15 6 3 2</rect></_>
1469 |     <_>
1470 |       <rect>
1471 |         15 11 3 4</rect></_>
1472 |     <_>
1473 |       <rect>
1474 |         15 13 3 2</rect></_>
1475 |     <_>
1476 |       <rect>
1477 |         15 17 2 2</rect></_>
1478 |     <_>
1479 |       <rect>
1480 |         15 17 3 2</rect></_>
1481 |     <_>
1482 |       <rect>
1483 |         16 1 2 3</rect></_>
1484 |     <_>
1485 |       <rect>
1486 |         16 3 2 4</rect></_>
1487 |     <_>
1488 |       <rect>
1489 |         16 6 1 1</rect></_>
1490 |     <_>
1491 |       <rect>
1492 |         16 16 2 2</rect></_>
1493 |     <_>
1494 |       <rect>
1495 |         17 1 2 2</rect></_>
1496 |     <_>
1497 |       <rect>
1498 |         17 1 2 5</rect></_>
1499 |     <_>
1500 |       <rect>
1501 |         17 12 2 2</rect></_>
1502 |     <_>
1503 |       <rect>
1504 |         18 0 2 2</rect></_></features></cascade>
1505 | </opencv_storage>
1506 | 


--------------------------------------------------------------------------------
/JavaFX-OpenCV/src/application/FXController.java:
--------------------------------------------------------------------------------
  1 | package application;
  2 | 
  3 | import java.awt.image.BufferedImage;
  4 | import java.awt.image.DataBufferByte;
  5 | 
  6 | import org.opencv.core.Core;
  7 | import org.opencv.core.Mat;
  8 | import org.opencv.core.MatOfRect;
  9 | import org.opencv.core.Point;
 10 | import org.opencv.core.Rect;
 11 | import org.opencv.core.Scalar;
 12 | import org.opencv.core.Size;
 13 | import org.opencv.imgproc.Imgproc;
 14 | import org.opencv.objdetect.CascadeClassifier;
 15 | import org.opencv.videoio.VideoCapture;
 16 | 
 17 | import javafx.application.Platform;
 18 | import javafx.embed.swing.SwingFXUtils;
 19 | import javafx.event.ActionEvent;
 20 | import javafx.fxml.FXML;
 21 | import javafx.scene.control.Button;
 22 | import javafx.scene.image.Image;
 23 | import javafx.scene.image.ImageView;
 24 | import javafx.scene.layout.Pane;
 25 | import javafx.scene.text.Text;
 26 | 
 27 | public class FXController {
 28 | 	// the FXML button
 29 | 	@FXML
 30 | 	private Button button;
 31 | 	// the FXML image view
 32 | 	@FXML
 33 | 	private ImageView currentFrame;
 34 | 
 35 | 	@FXML
 36 | 	private Text fps;
 37 | 
 38 | 	@FXML
 39 | 	private Pane ImageViewPane;
 40 | 
 41 | 	// the OpenCV object that realizes the video capture
 42 | 	private VideoCapture capture = new VideoCapture(0);
 43 | 	// a flag to change the button behavior
 44 | 	private static boolean cameraActive = false;
 45 | 
 46 | 	// Settings
 47 | 
 48 | 	// Set video device
 49 | 	
 50 | 	private CascadeClassifier face_cascade;
 51 |     private long detectedFaces;
 52 |     public BufferedImage croppedImage;
 53 | 
 54 | 	public void initController(int vd) {
 55 | 		
 56 | 		face_cascade = new CascadeClassifier("C:/Users/Admin/Documents/opencv/sources/data/haarcascades/haarcascade_frontalcatface.xml");  
 57 |         if(face_cascade.empty()){  
 58 |              System.out.println("--(!)Error loading A\n");  
 59 |              return;  
 60 |         }  
 61 |         else{  
 62 |              System.out.println("Face classifier loooaaaaaded up");  
 63 |         }  
 64 | 	}
 65 | 
 66 | 	/**
 67 | 	 * The action triggered by pushing the button on the GUI
 68 | 	 *
 69 | 	 * @param event
 70 | 	 *            the push button event
 71 | 	 */
 72 | 	@FXML
 73 | 	protected void startCamera(ActionEvent event) {
 74 | 		try {
 75 | 			if (!cameraActive) {
 76 | 				// start the video capture
 77 | 				//this.capture.open(videodevice);
 78 | 
 79 | 				// is the video stream available?
 80 | 				if (this.capture.isOpened()) {
 81 | 					cameraActive = true;
 82 | 					Thread processFrame = new Thread(new Runnable() {
 83 | 
 84 | 						@Override
 85 | 						public void run() {
 86 | 							while (cameraActive) {
 87 | 								try {
 88 | 									//Grab Frame
 89 | 									Mat matToShow = grabFrame();
 90 | 									//Process Frame
 91 | 									matToShow = processMat(detect(matToShow));
 92 | 									// convert the Mat object (OpenCV) to Image (JavaFX)
 93 | 									Image imageToShow = mat2Image(matToShow);
 94 | 									//Update ImageView
 95 | 									setFrametoImageView(imageToShow);
 96 | 									//Update the UI
 97 | 									updateUIObjects();
 98 | 
 99 | 								} catch (Exception e1) {
100 | 									System.out.println("Error on Update " + e1);
101 | 								}
102 | 								// Sleep for lower FPS/updateRate
103 | 								// try {
104 | 								// Thread.sleep(10);
105 | 								// } catch (InterruptedException e) {
106 | 								// // TODO Auto-generated catch block
107 | 								// e.printStackTrace();
108 | 								// }
109 | 
110 | 							}
111 | 							System.out.println("Thread processFrame closed");
112 | 							try {
113 | 								capture.release();
114 | 								updateUIObjects();
115 | 								setFrametoImageView(null);
116 | 							} catch (Exception e) {
117 | 							}
118 | 
119 | 						}
120 | 
121 | 					});
122 | 					processFrame.setDaemon(true);
123 | 					processFrame.setName("processFrame");
124 | 					processFrame.start();
125 | 
126 | 					// update the button content
127 | 					this.button.setText("Stop Camera");
128 | 				} else {
129 | 					// log the error
130 | 					throw new Exception("Impossible to open the camera connection");
131 | 				}
132 | 			} else {
133 | 				// the camera is not active at this point
134 | 				cameraActive = false;
135 | 				// update again the button content
136 | 				this.button.setText("Start Camera");
137 | 			}
138 | 		} catch (Exception e) {
139 | 			e.printStackTrace();
140 | 			cameraActive = false;
141 | 			this.button.setText("Start Camera");
142 | 		}
143 | 	}
144 | 
145 | 	/**
146 | 	 * Always Update UI from main thread
147 | 	 */
148 | 	private void setFrametoImageView(Image frame) {
149 | 		Platform.runLater(() -> {
150 | 			currentFrame.setImage(frame);
151 | 			currentFrame.setFitWidth(ImageViewPane.getWidth());
152 | 			currentFrame.setFitHeight((ImageViewPane.getHeight()));
153 | 			// set Image height/width by window size
154 | 		});
155 | 
156 | 	}
157 | 	
158 | 	public Mat detect(Mat inputframe){  
159 |         Mat mRgba=new Mat();  
160 |         Mat mGrey=new Mat();  
161 |         MatOfRect faces = new MatOfRect();  
162 |         
163 |         inputframe.copyTo(mRgba);  
164 |         inputframe.copyTo(mGrey);  
165 |         
166 |         Imgproc.cvtColor( mRgba, mGrey, Imgproc.COLOR_BGR2GRAY);  
167 |         Imgproc.equalizeHist( mGrey, mGrey );  
168 |         
169 |         face_cascade.detectMultiScale(mGrey, faces);  
170 |         detectedFaces = faces.toArray().length;
171 |         
172 |         System.out.println(String.format("Detected %s faces", detectedFaces));  
173 |         
174 |         for(Rect rect:faces.toArray()){  
175 |              Point center= new Point(rect.x + rect.width*0.5, rect.y + rect.height*0.5 );  
176 |              Imgproc.ellipse( mRgba, center, new Size( rect.width*0.5, rect.height*0.5), 0, 0, 360, new Scalar( 255, 0, 255 ), 4, 8, 0 );
177 |              //Core.rectangle(mRgba, new Point(rect.width*0.5, rect.height*0.5), center, new Scalar( 0, 255, 255 ), 4, 8, 0);
178 |              croppedImage = Mat2BufferedImage(mGrey);
179 |         }  
180 |         return mRgba;  
181 |    }
182 |    
183 |    public BufferedImage Mat2BufferedImage(Mat m){
184 |    	// source: http://answers.opencv.org/question/10344/opencv-java-load-image-to-gui/
185 |    	// Fastest code
186 |    	// The output can be assigned either to a BufferedImage or to an Image
187 | 
188 |    	    int type = BufferedImage.TYPE_BYTE_GRAY;
189 |    	    if ( m.channels() > 1 ) {
190 |    	        type = BufferedImage.TYPE_3BYTE_BGR;
191 |    	    }
192 |    	    int bufferSize = m.channels()*m.cols()*m.rows();
193 |    	    byte [] b = new byte[bufferSize];
194 |    	    m.get(0,0,b); // get all the pixels
195 |    	    BufferedImage image = new BufferedImage(m.cols(),m.rows(), type);
196 |    	    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
197 |    	    System.arraycopy(b, 0, targetPixels, 0, b.length);  
198 |    	    return image;
199 | 
200 |    	}
201 | 
202 | 	/**
203 | 	 * Always Update UI from main thread
204 | 	 */
205 | 	private void updateUIObjects() {
206 | 		Platform.runLater(() -> {
207 | 			// Update UI Objects like: Textfield.setText() , Button.set..() ,
208 | 			// Window.Resize...()
209 | 			//Set FPS
210 | 			fps.setText(""+capture.get(5));
211 | 		});
212 | 	}
213 | 
214 | 	/**
215 | 	 * Get a frame from the opened video stream (if any)
216 | 	 *
217 | 	 * @return the {@link Mat} to show
218 | 	 */
219 | 	private Mat grabFrame() {
220 | 		// init everything
221 | 		Mat frame = new Mat();
222 | 
223 | 		// check if the capture is open
224 | 		if (this.capture.isOpened()) {
225 | 			try {
226 | 				// read the current frame
227 | 				this.capture.read(frame);
228 | 
229 | 				// if the frame is not empty, process it
230 | 				if (!frame.empty()) {
231 | 					
232 | 				}
233 | 
234 | 			} catch (Exception e) {
235 | 				// log the error
236 | 				System.err.println("Exception during the image elaboration: " + e);
237 | 			}
238 | 		}
239 | 
240 | 		return frame;
241 | 	}
242 | 
243 | 	/**
244 | 	 * Process a Frame
245 | 	 *
246 | 	 * @return the {@link Image} to show
247 | 	 */
248 | 	private Mat processMat(Mat matToShow) {
249 | 		// convert the image to gray scale
250 | 		//Imgproc.cvtColor(matToShow, matToShow, Imgproc.COLOR_BGR2GRAY);
251 | 		return matToShow;
252 | 	}
253 | 
254 | 	/**
255 | 	 * Convert a Mat object (OpenCV) in the corresponding Image for JavaFX
256 | 	 *
257 | 	 * @param frame
258 | 	 *            the {@link Mat} representing the current frame
259 | 	 * @return the {@link Image} to show
260 | 	 */
261 | 	private Image mat2Image(Mat frame) {
262 | 		try {
263 | 			return SwingFXUtils.toFXImage(matToBufferedImage(frame), null);
264 | 		} catch (Exception e) {
265 | 			System.out.println("Cant convert mat" + e);
266 | 			return null;
267 | 		}
268 | 	}
269 | 
270 | 	public BufferedImage matToBufferedImage(Mat matBGR) {
271 | 		int width = matBGR.width(), height = matBGR.height(), channels = matBGR.channels();
272 | 		byte[] sourcePixels = new byte[width * height * channels];
273 | 		matBGR.get(0, 0, sourcePixels);
274 | 		BufferedImage image;
275 | 		if (matBGR.channels() > 1) {
276 | 			image = new BufferedImage(width, height, BufferedImage.TYPE_3BYTE_BGR);
277 | 		} else {
278 | 			image = new BufferedImage(width, height, BufferedImage.TYPE_BYTE_GRAY);
279 | 		}
280 | 		final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
281 | 		System.arraycopy(sourcePixels, 0, targetPixels, 0, sourcePixels.length);
282 | 		return image;
283 | 	}
284 | 
285 | 	public void setClosed() {
286 | 		//Close thread on window close
287 | 		cameraActive = false;
288 | 	}
289 | 
290 | }
291 | 


--------------------------------------------------------------------------------
/JavaFX-OpenCV/src/application/FirstJFX.fxml:
--------------------------------------------------------------------------------
 1 | <?xml version="1.0" encoding="UTF-8"?>
 2 | 
 3 | <?import java.lang.*?>
 4 | <?import javafx.geometry.*?>
 5 | <?import javafx.scene.control.*?>
 6 | <?import javafx.scene.image.*?>
 7 | <?import javafx.scene.layout.*?>
 8 | <?import javafx.scene.text.*?>
 9 | <?import javafx.geometry.Insets?>
10 | <?import javafx.scene.control.Button?>
11 | <?import javafx.scene.image.ImageView?>
12 | <?import javafx.scene.layout.BorderPane?>
13 | <?import javafx.scene.layout.HBox?>
14 | <?import javafx.scene.layout.Pane?>
15 | <?import javafx.scene.text.Text?>
16 | 
17 | <BorderPane prefHeight="339.0" prefWidth="464.0" xmlns="http://javafx.com/javafx/8" xmlns:fx="http://javafx.com/fxml/1" fx:controller="application.FXController">
18 |    <bottom>
19 |       <HBox alignment="center">
20 |          <padding>
21 |             <Insets bottom="25" left="25" right="25" top="25" />
22 |          </padding>
23 |          <children>
24 |             <Button fx:id="button" alignment="center" onAction="#startCamera" text="Start Camera" />
25 |             <Text strokeType="OUTSIDE" strokeWidth="0.0" text="  FPS:  " />
26 |             <Text fx:id="fps" strokeType="OUTSIDE" strokeWidth="0.0" />
27 |          </children>
28 |       </HBox>
29 |    </bottom>
30 |    <center>
31 |       <Pane fx:id="ImageViewPane" minHeight="200.0" minWidth="200.0" BorderPane.alignment="CENTER">
32 |          <children>
33 |             <ImageView fx:id="currentFrame" />
34 |          </children>
35 |       </Pane>
36 |    </center>
37 | </BorderPane>
38 | 


--------------------------------------------------------------------------------
/JavaFX-OpenCV/src/application/Main.java:
--------------------------------------------------------------------------------
 1 | package application;
 2 | 	
 3 | import org.opencv.core.Core;
 4 | 
 5 | import javafx.application.Application;
 6 | import javafx.event.EventHandler;
 7 | import javafx.stage.Stage;
 8 | import javafx.stage.WindowEvent;
 9 | import javafx.scene.Scene;
10 | import javafx.scene.layout.BorderPane;
11 | import javafx.fxml.FXMLLoader;
12 | 
13 | public class Main extends Application
14 | {
15 | 	@Override
16 | 	public void start(Stage primaryStage)
17 | 	{
18 | 		try
19 | 		{
20 | 			// load the FXML resource
21 | 			FXMLLoader loader = new FXMLLoader(getClass().getResource("FirstJFX.fxml"));
22 | 			// store the root element so that the controllers can use it
23 | 			BorderPane rootElement = (BorderPane) loader.load();
24 | 			// create and style a scene
25 | 			Scene scene = new Scene(rootElement, 800, 600);
26 | 			scene.getStylesheets().add(getClass().getResource("application.css").toExternalForm());
27 | 			// create the stage with the given title and the previously created
28 | 			// scene
29 | 			primaryStage.setTitle("JavaFX meets OpenCV");
30 | 			primaryStage.setScene(scene);
31 | 			// show the GUI
32 | 			primaryStage.show();
33 | 			
34 | 			// init the controller
35 | 			final FXController controller = loader.getController();
36 | 			
37 | 			// Set video device
38 | 			int videodevice = 1;
39 | 			controller.initController(videodevice);
40 | 			
41 | 			primaryStage.setOnCloseRequest((new EventHandler<WindowEvent>() {
42 | 		          public void handle(WindowEvent we) {
43 | 		        	  controller.setClosed();
44 | 		        	  System.out.println("Closed");
45 | 		          }
46 | 		      })); 
47 | 			
48 | 		}
49 | 		catch (Exception e)
50 | 		{
51 | 			e.printStackTrace();
52 | 		}
53 | 	}
54 | 	
55 | 	/**
56 | 	 * For launching the application...
57 | 	 */
58 | 	public static void main(String[] args)
59 | 	{
60 | 		// load the native OpenCV library
61 | 		System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
62 | 		
63 | 		launch(args);
64 | 	}
65 | }


--------------------------------------------------------------------------------
/JavaFX-OpenCV/src/application/application.css:
--------------------------------------------------------------------------------
1 | /* JavaFX CSS - Leave this comment until you have at least create one rule which uses -fx-Property */


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Alpay Yildirim
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # 🐱 Cat Face Detector with OpenCV and JavaFX ☕️
 2 | 
 3 | This is a Cat Face Detector written in Java using **OpenCV (Open Source Computer Vision)**. </br>
 4 | It's a small application, but it shows you how to:</br>
 5 | 
 6 | - Access to the camera
 7 | - Make pictures with the camera and render it as a video (FPS / frames per second)
 8 | - Check pictures for patterns (in this case cat faces 🐱)
 9 | - Design a GUI for **OpenCV** Applications with JavaFX
10 | - Get the number of detected Cat Faces 🐱
11 | 
12 | ## 🐱 Examples (Images) 🐱
13 | 
14 | The Face Detecting capabilities of **OpenCV (Open Source Computer Vision)** are working very well.</br>
15 | It detects the faces that are detectable, when somebody doesn't look at the camera, the face isn't really detectable, but there are solutions to fix this problem. (Add more Patterns to search in Images as an example, but the application logically gets slower) (often a extended version of the haarcascade is available)
16 | 
17 | ![Example Image OpenCV Face Detection](Images/Example_Image.png)
18 | 
19 | ![Example Image OpenCV Face Detection with different Faces](Images/Example_Image_different_cute_kittens.png)
20 | 
21 | You can see here very clearly how **OpenCV** works, by detecting patterns in faces.</br>
22 | The important Thing about this is, that it still was possible for the application to recognise the Cat Face Pattern (haarcascade_frontalcatface.xml) in different cats. 🐱
23 | 
24 | # ☕️ How to import a JavaFX Application to Eclipse ☕️
25 | 
26 | 1. Open your existing workspace in Eclipse.
27 | 2. In the Eclipse menu, choose **File -> Import**.
28 | 3. Expand the General folder and select Existing Projects into Workspace, then click Next.
29 | 4. You should now see the Import Projects dialog.
30 | 5. Select Finish.
31 | 
32 | ![Binance Ready to give crypto a try ? buy bitcoin and other cryptocurrencies on binance](Images/binance.jpg)
33 | 


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