测试图片准确率

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

@@ -31,7 +31,7 @@ public class TempleConfig {
     private NerveManager convolutionNerveManagerB;//卷积神经网络管理器
     private int row = 5;//行的最小比例
     private int column = 3;//列的最小比例
-    private int deep = 3;//默认深度
+    private int deep = 2;//默认深度
     private int classificationNub = 2;//分类的数量
     private int studyPattern;//学习模式
     private boolean isHavePosition = false;//是否需要锁定物体位置
@@ -242,7 +242,7 @@ public class TempleConfig {
         }
         //加载各识别分类的期望矩阵
         matrixMap.put(0, new Matrix(height, width));
-        double nub = 1;//每个分类期望参数的跨度
+        double nub = 5;//每个分类期望参数的跨度
         for (int k = 1; k <= classificationNub; k++) {
             Matrix matrix = new Matrix(height, width);//初始化期望矩阵
             double t = k * nub;//期望矩阵的分类参数数值

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

@@ -136,9 +136,9 @@ public class HelloWorld {
             for (int i = 1; i < 1500; i++) {//一阶段
                 System.out.println("study1===================" + i);
                 //读取本地URL地址图片,并转化成矩阵
-                Matrix a = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/a" + i + ".jpg");
+                Matrix a = picture.getImageMatrixByLocal("D:\\share\\picture/a" + i + ".jpg");
                 //Matrix b = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/b" + i + ".jpg");
-                Matrix c = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/c" + i + ".jpg");
+                Matrix c = picture.getImageMatrixByLocal("D:\\share\\picture/c" + i + ".jpg");
                 //Matrix d = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/d" + i + ".jpg");
                 //Matrix f = picture.getImageMatrixByLocal("D:\\share\\picture/f" + i + ".png");
                 //将图像矩阵和标注加入进行学习，Accuracy_Pattern 模式 进行第二次学习
@@ -154,9 +154,9 @@ public class HelloWorld {
 //        templeConfig.insertModel(modelParameter);
         //二阶段
         for (int i = 1; i < 1500; i++) {
-            Matrix a = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/a" + i + ".jpg");
+            Matrix a = picture.getImageMatrixByLocal("D:\\share\\picture/a" + i + ".jpg");
             //Matrix b = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/b" + i + ".jpg");
-            Matrix c = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/c" + i + ".jpg");
+            Matrix c = picture.getImageMatrixByLocal("D:\\share\\picture/c" + i + ".jpg");
             //Matrix d = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/d" + i + ".jpg");
 
             operation.normalization(a, templeConfig.getConvolutionNerveManager());
@@ -169,9 +169,9 @@ public class HelloWorld {
             for (int i = 1; i < 1500; i++) {
                 System.out.println("study2==================" + i);
                 //读取本地URL地址图片,并转化成矩阵
-                Matrix a = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/a" + i + ".jpg");
+                Matrix a = picture.getImageMatrixByLocal("D:\\share\\picture/a" + i + ".jpg");
                 //Matrix b = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/b" + i + ".jpg");
-                Matrix c = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/c" + i + ".jpg");
+                Matrix c = picture.getImageMatrixByLocal("D:\\share\\picture/c" + i + ".jpg");
                 //Matrix d = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/d" + i + ".jpg");
                 //Matrix f = picture.getImageMatrixByLocal("D:\\share\\picture/f" + i + ".png");
                 //将图像矩阵和标注加入进行学习，Accuracy_Pattern 模式 进行第二次学习
@@ -200,9 +200,9 @@ public class HelloWorld {
         int allNub = 0;
         for (int i = 1500; i <= 1572; i++) {
             //读取本地URL地址图片,并转化成矩阵
-            Matrix a = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/a" + i + ".jpg");
+            Matrix a = picture.getImageMatrixByLocal("D:\\share\\picture/a" + i + ".jpg");
             //Matrix b = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/b" + i + ".jpg");
-            Matrix c = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/c" + i + ".jpg");
+            Matrix c = picture.getImageMatrixByLocal("D:\\share\\picture/c" + i + ".jpg");
             //Matrix d = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/picture/d" + i + ".jpg");
             //将图像矩阵和标注加入进行学习，Accuracy_Pattern 模式 进行第二次学习
             //第二次学习的时候，第三个参数必须是 true