java保存mat对象_java中的OpenCV Mat对象序列化
我从here开始做了一些改进.经过测试和工作
SerializationUtils类here
public static String matToJson(Mat mat){
JsonObject obj = new JsonObject();
if(mat.isContinuous()){
int cols = mat.cols();
int rows = mat.rows();
int elemSize = (int) mat.elemSize();
int type = mat.type();
obj.addProperty("rows", rows);
obj.addProperty("cols", cols);
obj.addProperty("type", type);
// We cannot set binary data to a json object, so:
// Encoding data byte array to Base64.
String dataString;
if( type == CvType.CV_32S || type == CvType.CV_32SC2 || type == CvType.CV_32SC3 || type == CvType.CV_16S) {
int[] data = new int[cols * rows * elemSize];
mat.get(0, 0, data);
dataString = new String(Base64.encodeBase64(SerializationUtils.toByteArray(data)));
}
else if( type == CvType.CV_32F || type == CvType.CV_32FC2) {
float[] data = new float[cols * rows * elemSize];
mat.get(0, 0, data);
dataString = new String(Base64.encodeBase64(SerializationUtils.toByteArray(data)));
}
else if( type == CvType.CV_64F || type == CvType.CV_64FC2) {
double[] data = new double[cols * rows * elemSize];
mat.get(0, 0, data);
dataString = new String(Base64.encodeBase64(SerializationUtils.toByteArray(data)));
}
else if( type == CvType.CV_8U ) {
byte[] data = new byte[cols * rows * elemSize];
mat.get(0, 0, data);
dataString = new String(Base64.encodeBase64(data));
}
else {
throw new UnsupportedOperationException("unknown type");
}
obj.addProperty("data", dataString);
Gson gson = new Gson();
String json = gson.toJson(obj);
return json;
} else {
System.out.println("Mat not continuous.");
}
return "{}";
}
public static Mat matFromJson(String json){
JsonParser parser = new JsonParser();
JsonObject JsonObject = parser.parse(json).getAsJsonObject();
int rows = JsonObject.get("rows").getAsInt();
int cols = JsonObject.get("cols").getAsInt();
int type = JsonObject.get("type").getAsInt();
Mat mat = new Mat(rows, cols, type);
String dataString = JsonObject.get("data").getAsString();
if( type == CvType.CV_32S || type == CvType.CV_32SC2 || type == CvType.CV_32SC3 || type == CvType.CV_16S) {
int[] data = SerializationUtils.toIntArray(Base64.decodeBase64(dataString.getBytes()));
mat.put(0, 0, data);
}
else if( type == CvType.CV_32F || type == CvType.CV_32FC2) {
float[] data = SerializationUtils.toFloatArray(Base64.decodeBase64(dataString.getBytes()));
mat.put(0, 0, data);
}
else if( type == CvType.CV_64F || type == CvType.CV_64FC2) {
double[] data = SerializationUtils.toDoubleArray(Base64.decodeBase64(dataString.getBytes()));
mat.put(0, 0, data);
}
else if( type == CvType.CV_8U ) {
byte[] data = Base64.decodeBase64(dataString.getBytes());
mat.put(0, 0, data);
}
else {
throw new UnsupportedOperationException("unknown type");
}
return mat;
}