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