mirror of
https://gitee.com/dromara/easyAi.git
synced 2024-12-02 11:48:08 +08:00
修改覆盖率计算
This commit is contained in:
thenk008
parent
aeb106f7ef
commit
37f45a81dc
@ -40,6 +40,72 @@ public class Convolution extends Frequency {
|
||||
return matrix;
|
||||
}
|
||||
|
||||
private List<ThreeChannelMatrix> regionThreeChannelMatrix(ThreeChannelMatrix threeChannelMatrix, int size) {
|
||||
List<ThreeChannelMatrix> threeChannelMatrixList = new ArrayList<>();
|
||||
Matrix matrixRAll = threeChannelMatrix.getMatrixR();
|
||||
Matrix matrixGAll = threeChannelMatrix.getMatrixG();
|
||||
Matrix matrixBAll = threeChannelMatrix.getMatrixB();
|
||||
int x = matrixRAll.getX();
|
||||
int y = matrixRAll.getY();
|
||||
for (int i = 0; i <= x - size; i += size) {
|
||||
for (int j = 0; j <= y - size; j += size) {
|
||||
ThreeChannelMatrix threeMatrix = new ThreeChannelMatrix();
|
||||
Matrix matrixR = matrixRAll.getSonOfMatrix(i, j, size, size);
|
||||
Matrix matrixG = matrixGAll.getSonOfMatrix(i, j, size, size);
|
||||
Matrix matrixB = matrixBAll.getSonOfMatrix(i, j, size, size);
|
||||
threeMatrix.setMatrixR(matrixR);
|
||||
threeMatrix.setMatrixG(matrixG);
|
||||
threeMatrix.setMatrixB(matrixB);
|
||||
threeChannelMatrixList.add(threeMatrix);
|
||||
}
|
||||
}
|
||||
return threeChannelMatrixList;
|
||||
}
|
||||
|
||||
public List<List<Double>> kAvg(ThreeChannelMatrix threeMatrix, int poolSize, int sqNub
|
||||
, int regionSize) throws Exception {
|
||||
RGBSort rgbSort = new RGBSort();
|
||||
List<List<Double>> features = new ArrayList<>();
|
||||
Matrix matrixR = threeMatrix.getMatrixR();
|
||||
Matrix matrixG = threeMatrix.getMatrixG();
|
||||
Matrix matrixB = threeMatrix.getMatrixB();
|
||||
matrixR = late(matrixR, poolSize);
|
||||
matrixG = late(matrixG, poolSize);
|
||||
matrixB = late(matrixB, poolSize);
|
||||
threeMatrix.setMatrixR(matrixR);
|
||||
threeMatrix.setMatrixG(matrixG);
|
||||
threeMatrix.setMatrixB(matrixB);
|
||||
List<ThreeChannelMatrix> threeChannelMatrixList = regionThreeChannelMatrix(threeMatrix, regionSize);
|
||||
for (ThreeChannelMatrix threeChannelMatrix : threeChannelMatrixList) {
|
||||
List<Double> feature = new ArrayList<>();
|
||||
MeanClustering meanClustering = new MeanClustering(sqNub);
|
||||
matrixR = threeChannelMatrix.getMatrixR();
|
||||
matrixG = threeChannelMatrix.getMatrixG();
|
||||
matrixB = threeChannelMatrix.getMatrixB();
|
||||
int x = matrixR.getX();
|
||||
int y = matrixR.getY();
|
||||
for (int i = 0; i < x; i++) {
|
||||
for (int j = 0; j < y; j++) {
|
||||
double[] color = new double[]{matrixR.getNumber(i, j) / 255, matrixG.getNumber(i, j) / 255, matrixB.getNumber(i, j) / 255};
|
||||
meanClustering.setColor(color);
|
||||
}
|
||||
}
|
||||
meanClustering.start();
|
||||
List<RGBNorm> rgbNorms = meanClustering.getMatrices();
|
||||
Collections.sort(rgbNorms, rgbSort);
|
||||
double[] dm = new double[sqNub];
|
||||
for (RGBNorm rgbNorm : rgbNorms) {
|
||||
feature.add(rgbNorm.getNorm());
|
||||
}
|
||||
for (int t = 0; t < dm.length; t++) {
|
||||
dm[t] = rgbNorms.get(t).getNorm();
|
||||
}
|
||||
//System.out.println(Arrays.toString(dm));
|
||||
features.add(feature);
|
||||
}
|
||||
return features;
|
||||
}
|
||||
|
||||
public List<List<Double>> kc(ThreeChannelMatrix threeChannelMatrix, int poolSize, int sqNub
|
||||
, int regionSize) throws Exception {
|
||||
Matrix matrixR = threeChannelMatrix.getMatrixR();
|
||||
@ -79,8 +145,8 @@ public class Convolution extends Frequency {
|
||||
for (int i = 0; i < sqNub; i++) {
|
||||
features[i] = rgbNorms.get(i).getNorm();
|
||||
}
|
||||
//System.out.println(Arrays.toString(features));
|
||||
minNorm = ArithUtil.div(minNorm, 1);
|
||||
// System.out.println(Arrays.toString(features));
|
||||
minNorm = ArithUtil.div(minNorm, 2);
|
||||
return checkImage(matrixR, matrixG, matrixB, minNorm, regionSize, features);
|
||||
}
|
||||
|
||||
|
||||
@ -5,7 +5,7 @@ import org.wlld.i.OutBack;
|
||||
|
||||
public class MaxPoint implements OutBack {
|
||||
private int id;
|
||||
private double point = 0;
|
||||
private double point = -1;
|
||||
|
||||
public int getId() {
|
||||
return id;
|
||||
|
||||
@ -81,14 +81,24 @@ public class MeanClustering {
|
||||
}
|
||||
//进行两者的比较
|
||||
boolean isNext;
|
||||
do {
|
||||
for (int i = 0; i < 40; i++) {
|
||||
averageMatrix();
|
||||
isNext = isNext();
|
||||
if (isNext) {
|
||||
clear();
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
}
|
||||
while (isNext);
|
||||
// boolean isNext;
|
||||
// do {
|
||||
// averageMatrix();
|
||||
// isNext = isNext();
|
||||
// if (isNext) {
|
||||
// clear();
|
||||
// }
|
||||
// }
|
||||
// while (isNext);
|
||||
|
||||
} else {
|
||||
throw new Exception("matrixList number less than 2");
|
||||
|
||||
@ -65,7 +65,7 @@ public class Operation {//进行计算
|
||||
CoverBody coverBody = new CoverBody();
|
||||
Map<Integer, Double> tag = new HashMap<>();
|
||||
tag.put(entry.getKey(), 1.0);
|
||||
List<List<Double>> lists = convolution.kc(entry.getValue(), poolSize, sqNub, regionSize);
|
||||
List<List<Double>> lists = convolution.kAvg(entry.getValue(), poolSize, sqNub, regionSize);
|
||||
size = lists.size();
|
||||
coverBody.setFeature(lists);
|
||||
coverBody.setTag(tag);
|
||||
@ -82,7 +82,6 @@ public class Operation {//进行计算
|
||||
intoDnnNetwork(1, list, templeConfig.getSensoryNerves(), true, coverBody.getTag(), null);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -91,7 +90,7 @@ public class Operation {//进行计算
|
||||
if (templeConfig.getStudyPattern() == StudyPattern.Cover_Pattern) {
|
||||
Map<Integer, Double> coverMap = new HashMap<>();
|
||||
Map<Integer, Integer> typeNub = new HashMap<>();
|
||||
List<List<Double>> lists = convolution.kc(matrix, poolSize, sqNub, regionSize);
|
||||
List<List<Double>> lists = convolution.kAvg(matrix, poolSize, sqNub, regionSize);
|
||||
//特征塞入容器完毕
|
||||
int size = lists.size();
|
||||
int all = 0;
|
||||
|
||||
@ -23,6 +23,16 @@ public class Picture {
|
||||
return getImage(bi);
|
||||
}
|
||||
|
||||
public ThreeChannelMatrix getThreeMatrix(InputStream file) throws Exception {
|
||||
BufferedImage bi = null;
|
||||
try {
|
||||
bi = ImageIO.read(file);
|
||||
} catch (Exception e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
return this.getThreeChannel(bi);
|
||||
}
|
||||
|
||||
public ThreeChannelMatrix getThreeMatrix(String fileURL) throws Exception {
|
||||
File file = new File(fileURL);
|
||||
BufferedImage bi = null;
|
||||
|
||||
@ -48,51 +48,92 @@ public class CoverTest {
|
||||
|
||||
public static void test(Operation operation, int poolSize, int sqlNub, int regionSize) throws Exception {
|
||||
Picture picture = new Picture();
|
||||
ThreeChannelMatrix threeChannelMatrix = picture.getThreeMatrix("D:\\db/a.jpg");
|
||||
ThreeChannelMatrix threeChannelMatrix2 = picture.getThreeMatrix("D:\\db/b.jpg");
|
||||
ThreeChannelMatrix threeChannelMatrix3 = picture.getThreeMatrix("D:\\db/c.jpg");
|
||||
int allNub = 0;
|
||||
int wrong = 0;
|
||||
for (int i = 1; i < 2; i++) {
|
||||
allNub += 3;
|
||||
ThreeChannelMatrix threeChannelMatrix = picture.getThreeMatrix("D:\\share\\jie/1.jpg");
|
||||
ThreeChannelMatrix threeChannelMatrix2 = picture.getThreeMatrix("D:\\share\\jie/2.jpg");
|
||||
// ThreeChannelMatrix threeChannelMatrix3 = picture.getThreeMatrix("D:\\share\\jie/3.jpg");
|
||||
//ThreeChannelMatrix threeChannelMatrix4 = picture.getThreeMatrix("D:\\share\\cai/d" + i + ".jpg");
|
||||
//ThreeChannelMatrix threeChannelMatrix5 = picture.getThreeMatrix("D:\\share\\cai/e" + i + ".jpg");
|
||||
//ThreeChannelMatrix threeChannelMatrix6 = picture.getThreeMatrix("D:\\share\\cai/f" + i + ".jpg");
|
||||
//ThreeChannelMatrix threeChannelMatrix7 = picture.getThreeMatrix("D:\\share\\cai/g" + i + ".jpg");
|
||||
//ThreeChannelMatrix threeChannelMatrix8 = picture.getThreeMatrix("D:\\share\\cai/h" + i + ".jpg");
|
||||
|
||||
Map<Integer, Double> map1 = operation.coverPoint(threeChannelMatrix, poolSize, sqlNub, regionSize);
|
||||
Map<Integer, Double> map2 = operation.coverPoint(threeChannelMatrix2, poolSize, sqlNub, regionSize);
|
||||
Map<Integer, Double> map3 = operation.coverPoint(threeChannelMatrix3, poolSize, sqlNub, regionSize);
|
||||
Map<Integer, Double> map1 = operation.coverPoint(threeChannelMatrix, poolSize, sqlNub, regionSize);
|
||||
Map<Integer, Double> map2 = operation.coverPoint(threeChannelMatrix2, poolSize, sqlNub, regionSize);
|
||||
// Map<Integer, Double> map3 = operation.coverPoint (threeChannelMatrix3, poolSize, sqlNub, regionSize);
|
||||
//Map<Integer, Double> map4 = operation.coverPoint(threeChannelMatrix4, poolSize, sqlNub, regionSize);
|
||||
// Map<Integer, Double> map5 = operation.coverPoint(threeChannelMatrix5, poolSize, sqlNub, regionSize);
|
||||
// Map<Integer, Double> map6 = operation.coverPoint(threeChannelMatrix6, poolSize, sqlNub, regionSize);
|
||||
// Map<Integer, Double> map7 = operation.coverPoint(threeChannelMatrix7, poolSize, sqlNub, regionSize);
|
||||
// Map<Integer, Double> map8 = operation.coverPoint(threeChannelMatrix8, poolSize, sqlNub, regionSize);
|
||||
|
||||
for (Map.Entry<Integer, Double> entry : map1.entrySet()) {
|
||||
int key = entry.getKey();
|
||||
double value = entry.getValue();
|
||||
System.out.println("1key===" + key + ",value==" + value);
|
||||
}
|
||||
System.out.println("=============================");
|
||||
for (Map.Entry<Integer, Double> entry : map2.entrySet()) {
|
||||
int key = entry.getKey();
|
||||
double value = entry.getValue();
|
||||
System.out.println("2key===" + key + ",value==" + value);
|
||||
}
|
||||
System.out.println("=============================");
|
||||
|
||||
// for (Map.Entry<Integer, Double> entry : map3.entrySet()) {
|
||||
// int key = entry.getKey();
|
||||
// double value = entry.getValue();
|
||||
// System.out.println("3key===" + key + ",value==" + value);
|
||||
// }
|
||||
// System.out.println("=============================");
|
||||
|
||||
for (Map.Entry<Integer, Double> entry : map1.entrySet()) {
|
||||
System.out.println("1type==" + entry.getKey() + ",1value==" + entry.getValue());
|
||||
}
|
||||
System.out.println("=============================");
|
||||
for (Map.Entry<Integer, Double> entry : map2.entrySet()) {
|
||||
System.out.println("2type==" + entry.getKey() + ",2value==" + entry.getValue());
|
||||
}
|
||||
System.out.println("=============================");
|
||||
for (Map.Entry<Integer, Double> entry : map3.entrySet()) {
|
||||
System.out.println("2type==" + entry.getKey() + ",2value==" + entry.getValue());
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public static void cover() throws Exception {
|
||||
//创建图片解析类 桔梗覆盖，桔梗焚烧，土壤扰动
|
||||
Picture picture = new Picture();
|
||||
//创建模版类，参数选false就可以
|
||||
TempleConfig templeConfig = new TempleConfig();
|
||||
//初始化模板 注意 width height参数是你训练图片的实际尺寸需要改，其他不用动
|
||||
//创建运算类进行标注
|
||||
//templeConfig.setActiveFunction(new Sigmod());
|
||||
templeConfig.isShowLog(true);
|
||||
templeConfig.setStudyPoint(0.01);//不动
|
||||
templeConfig.setSoftMax(true);
|
||||
//templeConfig.setDeep(2);
|
||||
templeConfig.setSensoryNerveNub(2);
|
||||
templeConfig.setRzType(RZ.L1);//不动
|
||||
templeConfig.setlParam(0.015);//不动
|
||||
templeConfig.init(StudyPattern.Cover_Pattern, true, 400, 400, 3);
|
||||
templeConfig.init(StudyPattern.Cover_Pattern, true, 400, 400, 2);
|
||||
Operation operation = new Operation(templeConfig);
|
||||
for (int i = 1; i < 2; i++) {
|
||||
Map<Integer, ThreeChannelMatrix> matrixMap = new HashMap<>();
|
||||
ThreeChannelMatrix threeChannelMatrix1 = picture.getThreeMatrix("D:\\db/a.jpg");
|
||||
ThreeChannelMatrix threeChannelMatrix2 = picture.getThreeMatrix("D:\\db/b.jpg");
|
||||
ThreeChannelMatrix threeChannelMatrix3 = picture.getThreeMatrix("D:\\db/c.jpg");
|
||||
ThreeChannelMatrix threeChannelMatrix1 = picture.getThreeMatrix("D:\\share\\jie/1.jpg");
|
||||
ThreeChannelMatrix threeChannelMatrix2 = picture.getThreeMatrix("D:\\share\\jie/2.jpg");
|
||||
// ThreeChannelMatrix threeChannelMatrix3 = picture.getThreeMatrix("D:\\share\\jie/3.jpg");
|
||||
// ThreeChannelMatrix threeChannelMatrix4 = picture.getThreeMatrix("D:\\share\\cai/d" + i + ".jpg");
|
||||
// ThreeChannelMatrix threeChannelMatrix5 = picture.getThreeMatrix("D:\\share\\cai/e" + i + ".jpg");
|
||||
// ThreeChannelMatrix threeChannelMatrix6 = picture.getThreeMatrix("D:\\share\\cai/f" + i + ".jpg");
|
||||
// ThreeChannelMatrix threeChannelMatrix7 = picture.getThreeMatrix("D:\\share\\cai/g" + i + ".jpg");
|
||||
// ThreeChannelMatrix threeChannelMatrix8 = picture.getThreeMatrix("D:\\share\\cai/h" + i + ".jpg");
|
||||
matrixMap.put(1, threeChannelMatrix1);
|
||||
matrixMap.put(2, threeChannelMatrix2);
|
||||
matrixMap.put(3, threeChannelMatrix3);
|
||||
operation.coverStudy(matrixMap, 4, 2, 10, 10);
|
||||
// matrixMap.put(3, threeChannelMatrix3);
|
||||
// matrixMap.put(4, threeChannelMatrix4);
|
||||
// matrixMap.put(5, threeChannelMatrix5);
|
||||
// matrixMap.put(6, threeChannelMatrix6);
|
||||
// matrixMap.put(7, threeChannelMatrix7);
|
||||
// matrixMap.put(8, threeChannelMatrix8);
|
||||
operation.coverStudy(matrixMap, 2, 2, 40, 20);
|
||||
}
|
||||
ModelParameter modelParameter = templeConfig.getModel();
|
||||
String model = JSON.toJSONString(modelParameter);
|
||||
System.out.println(model);
|
||||
test(operation, 4, 2, 10);
|
||||
test(operation, 2, 2, 40);
|
||||
}
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user