/* Copyright 2016 Michael Sladoje and Mike Schälchli. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
package ch.zhaw.facerecognitionlibrary.Helpers;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.w3c.dom.Document;
import org.w3c.dom.Element;
import org.w3c.dom.Node;
import org.w3c.dom.NodeList;
import java.io.File;
import java.util.Scanner;
import javax.xml.parsers.DocumentBuilderFactory;
import javax.xml.transform.OutputKeys;
import javax.xml.transform.Transformer;
import javax.xml.transform.TransformerFactory;
import javax.xml.transform.dom.DOMSource;
import javax.xml.transform.stream.StreamResult;
/***************************************************************************************
* Title: Best way to store a Mat object in Android
* Author: Rui Marques
* Date: 19.02.2014
* Code version: -
* Availability: http://answers.opencv.org
*
***************************************************************************************/
public class MatXml {
// static
public static final int READ = 0;
public static final int WRITE = 1;
// varaible
private File file;
private boolean isWrite;
private Document doc;
private Element rootElement;
public MatXml() {
file = null;
isWrite = false;
doc = null;
rootElement = null;
}
// read or write
public void open(String filePath, int flags ) {
try {
if( flags == READ ) {
open(filePath);
}
else {
create(filePath);
}
} catch(Exception e) {
e.printStackTrace();
}
}
// read only
public void open(String filePath) {
try {
file = new File(filePath);
if( file == null || file.isFile() == false ) {
System.err.println("Can not open file: " + filePath );
}
else {
isWrite = false;
doc = DocumentBuilderFactory.newInstance().newDocumentBuilder().parse(file);
doc.getDocumentElement().normalize();
}
} catch(Exception e) {
e.printStackTrace();
}
}
// write only
public void create(String filePath) {
try {
file = new File(filePath);
if( file == null ) {
System.err.println("Can not wrtie file: " + filePath );
}
else {
isWrite = true;
doc = DocumentBuilderFactory.newInstance().newDocumentBuilder().newDocument();
rootElement = doc.createElement("opencv_storage");
doc.appendChild(rootElement);
}
} catch(Exception e) {
e.printStackTrace();
}
}
public Mat readMat(String tag) {
if( isWrite ) {
System.err.println("Try read from file with write flags");
return null;
}
NodeList nodelist = doc.getElementsByTagName(tag);
Mat readMat = null;
for( int i = 0 ; i<nodelist.getLength() ; i++ ) {
Node node = nodelist.item(i);
if( node.getNodeType() == Node.ELEMENT_NODE ) {
Element element = (Element)node;
String type_id = element.getAttribute("type_id");
if( "opencv-matrix".equals(type_id) == false) {
System.out.println("Fault type_id ");
}
String rowsStr = element.getElementsByTagName("rows").item(0).getTextContent();
String colsStr = element.getElementsByTagName("cols").item(0).getTextContent();
String dtStr = element.getElementsByTagName("dt").item(0).getTextContent();
String dataStr = element.getElementsByTagName("data").item(0).getTextContent();
int rows = Integer.parseInt(rowsStr);
int cols = Integer.parseInt(colsStr);
int type = CvType.CV_8U;
Scanner s = new Scanner(dataStr);
if( "f".equals(dtStr) ) {
type = CvType.CV_32F;
readMat = new Mat( rows, cols, type );
float fs[] = new float[1];
for( int r=0 ; r<rows ; r++ ) {
for( int c=0 ; c<cols ; c++ ) {
if( s.hasNextFloat() ) {
fs[0] = s.nextFloat();
}
else {
fs[0] = 0;
System.err.println("Unmatched number of float value at rows="+r + " cols="+c);
}
readMat.put(r, c, fs);
}
}
}
else if( "i".equals(dtStr) ) {
type = CvType.CV_32S;
readMat = new Mat( rows, cols, type );
int is[] = new int[1];
for( int r=0 ; r<rows ; r++ ) {
for( int c=0 ; c<cols ; c++ ) {
if( s.hasNextInt() ) {
is[0] = s.nextInt();
}
else {
is[0] = 0;
System.err.println("Unmatched number of int value at rows="+r + " cols="+c);
}
readMat.put(r, c, is);
}
}
}
else if( "s".equals(dtStr) ) {
type = CvType.CV_16S;
readMat = new Mat( rows, cols, type );
short ss[] = new short[1];
for( int r=0 ; r<rows ; r++ ) {
for( int c=0 ; c<cols ; c++ ) {
if( s.hasNextShort() ) {
ss[0] = s.nextShort();
}
else {
ss[0] = 0;
System.err.println("Unmatched number of int value at rows="+r + " cols="+c);
}
readMat.put(r, c, ss);
}
}
}
else if( "b".equals(dtStr) ) {
readMat = new Mat( rows, cols, type );
byte bs[] = new byte[1];
for( int r=0 ; r<rows ; r++ ) {
for( int c=0 ; c<cols ; c++ ) {
if( s.hasNextByte() ) {
bs[0] = s.nextByte();
}
else {
bs[0] = 0;
System.err.println("Unmatched number of byte value at rows="+r + " cols="+c);
}
readMat.put(r, c, bs);
}
}
}
}
}
return readMat;
}
public void writeMat(String tag, Mat mat) {
try {
if( isWrite == false) {
System.err.println("Try write to file with no write flags");
return;
}
Element matrix = doc.createElement(tag);
matrix.setAttribute("type_id", "opencv-matrix");
rootElement.appendChild(matrix);
Element rows = doc.createElement("rows");
rows.appendChild( doc.createTextNode( String.valueOf(mat.rows()) ));
Element cols = doc.createElement("cols");
cols.appendChild( doc.createTextNode( String.valueOf(mat.cols()) ));
Element dt = doc.createElement("dt");
String dtStr;
int type = mat.type();
if(type == CvType.CV_32F ) { // type == CvType.CV_32FC1
dtStr = "f";
}
else if( type == CvType.CV_32S ) { // type == CvType.CV_32SC1
dtStr = "i";
}
else if( type == CvType.CV_16S ) { // type == CvType.CV_16SC1
dtStr = "s";
}
else if( type == CvType.CV_8U ){ // type == CvType.CV_8UC1
dtStr = "b";
}
else {
dtStr = "unknown";
}
dt.appendChild( doc.createTextNode( dtStr ));
Element data = doc.createElement("data");
String dataStr = dataStringBuilder( mat );
data.appendChild( doc.createTextNode( dataStr ));
// append all to matrix
matrix.appendChild( rows );
matrix.appendChild( cols );
matrix.appendChild( dt );
matrix.appendChild( data );
} catch(Exception e) {
e.printStackTrace();
}
}
private String dataStringBuilder(Mat mat) {
StringBuilder sb = new StringBuilder();
int rows = mat.rows();
int cols = mat.cols();
int type = mat.type();
if( type == CvType.CV_32F ) {
float fs[] = new float[1];
for( int r=0 ; r<rows ; r++ ) {
for( int c=0 ; c<cols ; c++ ) {
mat.get(r, c, fs);
sb.append( String.valueOf(fs[0]));
sb.append( ' ' );
}
sb.append( '\n' );
}
}
else if( type == CvType.CV_32S ) {
int is[] = new int[1];
for( int r=0 ; r<rows ; r++ ) {
for( int c=0 ; c<cols ; c++ ) {
mat.get(r, c, is);
sb.append( String.valueOf(is[0]));
sb.append( ' ' );
}
sb.append( '\n' );
}
}
else if( type == CvType.CV_16S ) {
short ss[] = new short[1];
for( int r=0 ; r<rows ; r++ ) {
for( int c=0 ; c<cols ; c++ ) {
mat.get(r, c, ss);
sb.append( String.valueOf(ss[0]));
sb.append( ' ' );
}
sb.append( '\n' );
}
}
else if( type == CvType.CV_8U ) {
byte bs[] = new byte[1];
for( int r=0 ; r<rows ; r++ ) {
for( int c=0 ; c<cols ; c++ ) {
mat.get(r, c, bs);
sb.append( String.valueOf(bs[0]));
sb.append( ' ' );
}
sb.append( '\n' );
}
}
else {
sb.append("unknown type\n");
}
return sb.toString();
}
public void release() {
try {
if( isWrite == false) {
System.err.println("Try release of file with no write flags");
return;
}
DOMSource source = new DOMSource(doc);
StreamResult result = new StreamResult(file);
// write to xml file
Transformer transformer = TransformerFactory.newInstance().newTransformer();
transformer.setOutputProperty(OutputKeys.INDENT, "yes");
// do it
transformer.transform(source, result);
} catch(Exception e) {
e.printStackTrace();
}
}
}
