添加矩阵转列向量

src/main/java/org/wlld/MatrixTools/MatrixOperation.java

@@ -24,6 +24,7 @@ public class MatrixOperation {
     }
 
     public static Matrix pushVector(Matrix myMatrix, Matrix matrix, boolean addRow) throws Exception {
+        //向一个矩阵里合并一个行向量或者列向量到矩阵行或者列的末尾
         if (matrix.getX() == 1 || matrix.getY() == 1) {
             Matrix addMatrix;
             if (addRow) {//增加一行
@@ -94,14 +95,23 @@ public class MatrixOperation {
         }
     }
 
-    public static Matrix matrixToRow(Matrix matrix) throws Exception {//将一个矩阵转成行向量
+    public static Matrix matrixToVector(Matrix matrix, boolean isRow) throws Exception {//将一个矩阵转成行向量
         int x = matrix.getX();
         int y = matrix.getY();
-        Matrix myMatrix = new Matrix(1, x * y);
+        Matrix myMatrix;
+        if (isRow) {
+            myMatrix = new Matrix(1, x * y);
+        } else {
+            myMatrix = new Matrix(x * y, 1);
+        }
         int t = 0;
         for (int i = 0; i < x; i++) {
             for (int j = 0; j < y; j++) {
-                myMatrix.setNub(0, t, matrix.getNumber(i, j));
+                if (isRow) {
+                    myMatrix.setNub(0, t, matrix.getNumber(i, j));
+                } else {
+                    myMatrix.setNub(t, 0, matrix.getNumber(i, j));
+                }
                 t++;
             }
         }

src/main/java/org/wlld/imageRecognition/Operation.java

@@ -58,8 +58,11 @@ public class Operation {//进行计算
     //图像视觉 speed 模式
     public void look(Matrix matrix, long eventId) throws Exception {
         if (templeConfig.getStudyPattern() == StudyPattern.Speed_Pattern) {
+            long a = System.currentTimeMillis();
             List<Double> list = convolution(matrix, templeConfig.isHavePosition());
             intoNerve(eventId, list, templeConfig.getSensoryNerves(), false, null);
+            long b = System.currentTimeMillis();
+            System.out.println("耗时：" + (b - a));
         } else if (templeConfig.getStudyPattern() == StudyPattern.Accuracy_Pattern) {
             see(matrix, eventId);
         }

src/main/java/org/wlld/imageRecognition/TempleConfig.java

@@ -5,6 +5,7 @@ import org.wlld.config.StudyPattern;
 import org.wlld.function.ReLu;
 import org.wlld.function.Sigmod;
 import org.wlld.i.OutBack;
+import org.wlld.imageRecognition.border.BorderBody;
 import org.wlld.nerveCenter.NerveManager;
 import org.wlld.nerveEntity.ModelParameter;
 import org.wlld.nerveEntity.SensoryNerve;
@@ -26,24 +27,14 @@ public class TempleConfig {
     private int studyPattern;//学习模式
     private OutBack outBack;
     private boolean isHavePosition = false;//是否需要锁定物体位置
-    private int region = 10;//将一个图片均匀分成几个区域 默认是10
+    private Map<Integer, BorderBody> borderBodyMap = new HashMap<>();
-    private int regionRow = 8;//目标检测物体大概会在图像中占的行份
-    private int regionColumn = 8;//目标检测物体大概会在图像中占的列份
 
-    public int getRegionRow() {
+    public Map<Integer, BorderBody> getBorderBodyMap() {
-        return regionRow;
+        return borderBodyMap;
     }
 
-    public void setRegionRow(int regionRow) {
+    public void setBorderBodyMap(Map<Integer, BorderBody> borderBodyMap) {
-        this.regionRow = regionRow;
+        this.borderBodyMap = borderBodyMap;
-    }
-
-    public int getRegionColumn() {
-        return regionColumn;
-    }
-
-    public void setRegionColumn(int regionColumn) {
-        this.regionColumn = regionColumn;
     }
 
     public NerveManager getNerveManager() {
@@ -54,14 +45,6 @@ public class TempleConfig {
         this.nerveManager = nerveManager;
     }
 
-    public int getRegion() {
-        return region;
-    }
-
-    public void setRegion(int region) {
-        this.region = region;
-    }
-
     public boolean isHavePosition() {
         return isHavePosition;
     }

src/main/java/org/wlld/imageRecognition/border/Border.java

@@ -1,6 +1,7 @@
 package org.wlld.imageRecognition.border;
 
 import org.wlld.MatrixTools.Matrix;
+import org.wlld.MatrixTools.MatrixOperation;
 import org.wlld.imageRecognition.TempleConfig;
 import org.wlld.test.Ma;
 import org.wlld.tools.ArithUtil;
@@ -17,23 +18,14 @@ public class Border {
     private int maxY;
     private int width;//宽度
     private int height;//高度
-    private double modelX;//标准左上角X坐标
-    private double modelY;//标准左上角Y坐标
     private double modelHeight;//标准高度
     private double modelWidth;//标准宽度
+    private TempleConfig templeConfig;
 
     Border(TempleConfig templeConfig, int imageWidth, int imageHeight) {
-        int region = templeConfig.getRegion();//将一个区域分成几份
+        modelWidth = imageWidth;
-        double row = ArithUtil.div(imageHeight, region);//每一行的像素
+        modelHeight = imageHeight;
-        double column = ArithUtil.div(imageWidth, region);//每一列的像素
+        this.templeConfig = templeConfig;
-        int divRow = templeConfig.getRegionRow();//检测物体行占据的份数
-        int divColumn = templeConfig.getRegionColumn();//检测物体列占据的份数
-        modelHeight = ArithUtil.mul(divRow, row);
-        modelWidth = ArithUtil.mul(divColumn, column);
-        double regionRow = (region - divRow) / 2;//左上角X份数
-        double regionColumn = (region - divColumn) / 2;//左上角Y份数
-        modelX = ArithUtil.mul(regionRow, row);
-        modelY = ArithUtil.mul(regionColumn, column);
     }
 
     //输入像素值查找边框四角坐标
@@ -52,16 +44,20 @@ public class Border {
         }
     }
 
-    public void end(Matrix matrix) {//长宽
+    public void end(Matrix matrix, int id) throws Exception {//长宽
         height = maxX - minX;
         width = maxY - minY;
+        BorderBody borderBody = templeConfig.getBorderBodyMap().get(id);
+
         //多元线性回归的四个输出值
-        double tx = ArithUtil.div(ArithUtil.sub(minX, modelX), modelHeight);
+        double tx = ArithUtil.div(minX, modelHeight);
-        double ty = ArithUtil.div(ArithUtil.sub(minY, modelY), modelWidth);
+        double ty = ArithUtil.div(minY, modelWidth);
         double tw = Math.log(ArithUtil.div(width, modelWidth));
         double th = Math.log(ArithUtil.div(height, modelHeight));
-        //进行参数汇集
+        //进行参数汇集 矩阵转化为行向量
-
+        matrix = MatrixOperation.matrixToVector(matrix, true);
+        //将矩阵的末尾填1
+        matrix = MatrixOperation.push(matrix, 1);
     }
 
 }

src/main/java/org/wlld/imageRecognition/border/BorderBody.java

@@ -0,0 +1,93 @@
+package org.wlld.imageRecognition.border;
+
+import org.wlld.MatrixTools.Matrix;
+
+/**
+ * @author lidapeng
+ * @description
+ *
+ * @date 8:49 上午 2020/1/24
+ */
+public class BorderBody {
+    private Matrix xW;//平移X权重
+    private Matrix yW;//平移Y权重
+    private Matrix wW;//缩放宽度权重
+    private Matrix hW;//缩放高度权重
+    private Matrix x;//参数矩阵
+    private Matrix tx;//X轴偏移量
+    private Matrix ty;//Y轴偏移量
+    private Matrix tw;//W缩放量
+    private Matrix th;//H缩放量
+
+    public Matrix getxW() {
+        return xW;
+    }
+
+    public void setxW(Matrix xW) {
+        this.xW = xW;
+    }
+
+    public Matrix getyW() {
+        return yW;
+    }
+
+    public void setyW(Matrix yW) {
+        this.yW = yW;
+    }
+
+    public Matrix getwW() {
+        return wW;
+    }
+
+    public void setwW(Matrix wW) {
+        this.wW = wW;
+    }
+
+    public Matrix gethW() {
+        return hW;
+    }
+
+    public void sethW(Matrix hW) {
+        this.hW = hW;
+    }
+
+    public Matrix getX() {
+        return x;
+    }
+
+    public void setX(Matrix x) {
+        this.x = x;
+    }
+
+    public Matrix getTx() {
+        return tx;
+    }
+
+    public void setTx(Matrix tx) {
+        this.tx = tx;
+    }
+
+    public Matrix getTy() {
+        return ty;
+    }
+
+    public void setTy(Matrix ty) {
+        this.ty = ty;
+    }
+
+    public Matrix getTw() {
+        return tw;
+    }
+
+    public void setTw(Matrix tw) {
+        this.tw = tw;
+    }
+
+    public Matrix getTh() {
+        return th;
+    }
+
+    public void setTh(Matrix th) {
+        this.th = th;
+    }
+}

src/test/java/org/wlld/HelloWorld.java

@@ -20,8 +20,8 @@ import java.util.Map;
  */
 public class HelloWorld {
     public static void main(String[] args) throws Exception {
-        //testPic2();
+        testPic();
-        testModel();
+        //testModel();
     }
 
     public static void testPic() throws Exception {
@@ -143,7 +143,7 @@ public class HelloWorld {
         Map<Integer, Double> wrongTagging = new HashMap<>();//分类标注
         rightTagging.put(1, 1.0);
         wrongTagging.put(1, 0.0);
-        for (int i = 1; i < 5; i++) {
+        for (int i = 1; i < 2; i++) {
             System.out.println("开始学习1==" + i);
             //读取本地URL地址图片,并转化成矩阵
             Matrix right = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/c/c" + i + ".png");
@@ -154,7 +154,7 @@ public class HelloWorld {
             operation.learning(right, rightTagging, false);
             operation.learning(wrong, wrongTagging, false);
         }
-        for (int i = 1; i < 5; i++) {//神经网络学习
+        for (int i = 1; i < 2; i++) {//神经网络学习
             System.out.println("开始学习2==" + i);
             //读取本地URL地址图片,并转化成矩阵
             Matrix right = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/c/c" + i + ".png");

src/test/java/org/wlld/MatrixTest.java

@@ -0,0 +1,44 @@
+package org.wlld;
+
+import org.wlld.MatrixTools.Matrix;
+import org.wlld.MatrixTools.MatrixOperation;
+
+/**
+ * @author lidapeng
+ * @description
+ * @date 3:35 下午 2020/1/23
+ */
+public class MatrixTest {
+    public static void main(String[] args) throws Exception {
+        test2();
+    }
+
+    public static void test1() throws Exception {
+        Matrix matrix = new Matrix(2, 2);
+        Matrix matrix2 = new Matrix(1, 5);
+        String b = "[6,7,8,9,10]#";
+        String a = "[1,2]#" +
+                "[3,4]#";
+        matrix.setAll(a);
+        matrix2.setAll(b);
+        Matrix matrix1 = MatrixOperation.matrixToVector(matrix, true);
+        matrix1 = MatrixOperation.push(matrix1, 5);
+        matrix1 = MatrixOperation.pushVector(matrix1, matrix2, true);
+        System.out.println(matrix1.getString());
+    }
+
+    public static void test2() throws Exception {
+        Matrix matrix = new Matrix(2, 2);
+        Matrix matrix1 = new Matrix(1, 5);
+        String a = "[1,2]#" +
+                "[3,4]#";
+        String b = "[6,7,8,9,10]#";
+        matrix.setAll(a);
+        matrix1.setAll(b);
+        matrix1 = MatrixOperation.matrixToVector(matrix1, false);
+        matrix = MatrixOperation.matrixToVector(matrix, false);
+        matrix = MatrixOperation.push(matrix, 5);
+        matrix = MatrixOperation.pushVector(matrix, matrix1, false);
+        System.out.println(matrix.getString());
+    }
+}