Open Source Computer Vision Library https://opencv.org/
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package org.opencv.test.imgcodecs;
import org.opencv.core.MatOfByte;
import org.opencv.core.MatOfInt;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
public class ImgcodecsTest extends OpenCVTestCase {
public void testImdecode() {
fail("Not yet implemented");
}
public void testImencodeStringMatListOfByte() {
MatOfByte buff = new MatOfByte();
assertEquals(0, buff.total());
assertTrue( Imgcodecs.imencode(".jpg", gray127, buff) );
assertFalse(0 == buff.total());
}
public void testImencodeStringMatListOfByteListOfInteger() {
MatOfInt params40 = new MatOfInt(Imgcodecs.IMWRITE_JPEG_QUALITY, 40);
MatOfInt params90 = new MatOfInt(Imgcodecs.IMWRITE_JPEG_QUALITY, 90);
/* or
MatOfInt params = new MatOfInt();
params.fromArray(Imgcodecs.IMWRITE_JPEG_QUALITY, 40);
*/
MatOfByte buff40 = new MatOfByte();
MatOfByte buff90 = new MatOfByte();
assertTrue( Imgcodecs.imencode(".jpg", rgbLena, buff40, params40) );
assertTrue( Imgcodecs.imencode(".jpg", rgbLena, buff90, params90) );
assertTrue(buff40.total() > 0);
assertTrue(buff40.total() < buff90.total());
}
public void testImreadString() {
dst = Imgcodecs.imread(OpenCVTestRunner.LENA_PATH);
assertTrue(!dst.empty());
assertEquals(3, dst.channels());
assertTrue(512 == dst.cols());
assertTrue(512 == dst.rows());
}
public void testImreadStringInt() {
dst = Imgcodecs.imread(OpenCVTestRunner.LENA_PATH, 0);
assertTrue(!dst.empty());
assertEquals(1, dst.channels());
assertTrue(512 == dst.cols());
assertTrue(512 == dst.rows());
}
public void testImwriteStringMat() {
fail("Not yet implemented");
}
public void testImwriteStringMatListOfInteger() {
fail("Not yet implemented");
}
}