java.lang.UnsatisfiedLinkError: no jniavcodec in java.library.path

[atena2019]

when try to run GetFileTest.java in test case readFromUrlTest() i got this exception: java.lang.UnsatisfiedLinkError: no jniavcodec in java.library.path at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1860) at java.lang.Runtime.loadLibrary0(Runtime.java:845) at java.lang.System.loadLibrary(System.java:1084) at com.googlecode.javacpp.Loader.loadLibrary(Loader.java:711) at com.googlecode.javacpp.Loader.load(Loader.java:586) at com.googlecode.javacpp.Loader.load(Loader.java:540) at com.googlecode.javacv.cpp.avcodec.(avcodec.java:39) at com.googlecode.javacv.FFmpegFrameGrabber.(FFmpegFrameGrabber.java:103) at edu.lipreading.vision.AbstractFeatureExtractor.getGrabber(AbstractFeatureExtractor.java:48) at edu.lipreading.vision.AbstractFeatureExtractor.extract(AbstractFeatureExtractor.java:34) at edu.lipreading.vision.GetFileTest.readFromUrlTest(GetFileTest.java:59) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:601) at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:47) at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12) at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:44) at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17) at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26) at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:271) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:70) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50) at org.junit.runners.ParentRunner$3.run(ParentRunner.java:238) at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:63) at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:236) at org.junit.runners.ParentRunner.access$000(ParentRunner.java:53) at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:229) at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27) at org.junit.runners.ParentRunner.run(ParentRunner.java:309) at org.eclipse.jdt.internal.junit4.runner.JUnit4TestReference.run(JUnit4TestReference.java:50) at org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:467) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:683) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:390) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:197) Caused by: java.lang.UnsatisfiedLinkError: C:\Users\mgr\AppData\Local\Temp\javacpp84231122631068\jniavcodec.dll: The specified procedure could not be found at java.lang.ClassLoader$NativeLibrary.load(Native Method) at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1928) at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1825) at java.lang.Runtime.load0(Runtime.java:792) at java.lang.System.load(System.java:1059) at com.googlecode.javacpp.Loader.loadLibrary(Loader.java:700) ... 32 more

[atena2019]

do i need to install a library? i installed opencv 2.4.8 and javacv 0.7 and ffmpeg 0.7.1. anything more i need ?

[NivedhaKHJ]

Hello. are you getting the output in windows application ?? pls mail me : nivedha.mit@gmail.com

[atena2019]

Hi NivedhaKHJ unfortunately not yet.i have mistake in classification. what about you?

[atena2019]

answer of my issue is that i should follow the instruction in wiki page to get correct version of libraries. it solved my problem

[NivedhaKHJ]

yea i got the output in windows. but not in android

On 4 May 2014 01:57, atena2019 notifications@github.com wrote:

answer of my issue is that i should follow the instruction in wiki page to get correct version of libraries. it solved my problem

— Reply to this email directly or view it on GitHubhttps://github.com/sagioto/LipReading/issues/8#issuecomment-42115543 .

[atena2019]

does it give you the correct answer? i have mistake in classification. i have this exception:

java.lang.ArrayIndexOutOfBoundsException: 801 at weka.filters.unsupervised.attribute.ReplaceMissingValues.convertInstance(ReplaceMissingValues.java:274) at weka.filters.unsupervised.attribute.ReplaceMissingValues.input(ReplaceMissingValues.java:140) at weka.classifiers.functions.SMO.distributionForInstance(SMO.java:1367) at edu.lipreading.classification.SVMClassifier.test(SVMClassifier.java:49) at edu.lipreading.gui.VideoCapturePanel.classify(VideoCapturePanel.java:154) at edu.lipreading.gui.FileLipReaderPanel$ClassifierThread$1.run(FileLipReaderPanel.java:220) at java.lang.Thread.run(Thread.java:722)

it is because of model file. but i do not konw why? can you please send me your model file?how did you generate your model? using weka explorer or command?

[NivedhaKHJ]

i created the model file using weka explorer.

On 4 May 2014 23:02, atena2019 notifications@github.com wrote:

does it give you the correct answer? i have mistake in classification. i have this exception:

java.lang.ArrayIndexOutOfBoundsException: 801 at weka.filters.unsupervised.attribute.ReplaceMissingValues.convertInstance(ReplaceMissingValues.java:274) at weka.filters.unsupervised.attribute.ReplaceMissingValues.input(ReplaceMissingValues.java:140) at weka.classifiers.functions.SMO.distributionForInstance(SMO.java:1367) at edu.lipreading.classification.SVMClassifier.test(SVMClassifier.java:49) at edu.lipreading.gui.VideoCapturePanel.classify(VideoCapturePanel.java:154) at edu.lipreading.gui.FileLipReaderPanel$ClassifierThread$1.run(FileLipReaderPanel.java:220) at java.lang.Thread.run(Thread.java:722)

it is because of model file. but i do not konw why? can you please send me your model file?how did you generate your model? using weka explorer or command?

— Reply to this email directly or view it on GitHubhttps://github.com/sagioto/LipReading/issues/8#issuecomment-42138816 .

[atena2019]

the arff file and model file has 801 attributes. but when i want to test a video, the created instance has 1204 attributes. have you changed the code to apply a filter to test instance data?

[atena2019]

i found the mistake. i changed the Frame_count in lr.properties from 150 to 100 to create test instance with 100*8 = 800 attributes. and i changed below function as this:(in WekaClaasifier class)

protected Instance sampleToInstance(Sample sample) {

    Instance instance = new DenseInstance(INSTANCE_SIZE-4);//-4 added by me
    instance.setMissing(0);

    for (int i = 0; i < INSTANCE_SIZE - Constants.SAMPLE_ROW_SHIFT; i++) {
        instance.setValue(i , sample.getMatrix().get(i / 8).get(i % 8));
    }        
    return instance;
}

[atena2019]

i found the mistake. i changed the Frame_count in lr.properties from 150 to 100 to create test instance with 100*8 = 800 attributes. and i changed below function as this:(in WekaClaasifier class)

protected Instance sampleToInstance(Sample sample) {

    Instance instance = new DenseInstance(INSTANCE_SIZE-4);//-4 added by me
    instance.setMissing(0);

    for (int i = 0; i < INSTANCE_SIZE - Constants.SAMPLE_ROW_SHIFT; i++) {
        instance.setValue(i , sample.getMatrix().get(i / 8).get(i % 8));
    }        
    return instance;
}

[atena2019]

Dear nivedha, does the windows version works correctly (without wrong response) for you? when i create my model file, the application can not classify my input correctly and it always returns one label. it even do not works when i use my train data as test data. is it related to code or my train input?