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Is there any way to get OpenCV from repository? Which artifact should I add to
pom.xml
? Every tutorial I'd found is from '14 and it seems like something changed - they say it is'nt in official Maven repository yet, but I've found entry:
<!-- https://mvnrepository.com/artifact/nu.pattern/opencv -->
<dependency>
<groupId>nu.pattern</groupId>
<artifactId>opencv</artifactId>
<version>2.4.9-7</version>
</dependency>
Sadly, I get error
Caused by: java.lang.UnsatisfiedLinkError: no opencv_java249 in java.library.path
when I'm using System.loadLibrary(Core.NATIVE_LIBRARY_NAME). Can I add this library in a way that would make my project include it and 'forget' about manually adding it to classpath?
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nu.pattern.OpenCV.loadShared();
System.loadLibrary(org.opencv.core.Core.NATIVE_LIBRARY_NAME);
More info here in API section: https://github.com/patternconsulting/opencv
Also have 2.4.9-7 opencv dependency.
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There is currently no official way to use the official Java bindings for OpenCV as a Maven dependency (as already mentioned in the comments, the Maven artifact was already requested in #4588, but is still unattended). Nevertheless, there are 3 possible approaches to your problem:
java.lang.UnsatisfiedLinkError was thrown because you need to install the binding's binaries (that is "opencv_java") separately. Most likely, that unofficial artifact does not include them (or not the ones compatible with your system). In order to build the bindings:
git clone the OpenCV repository.
git checkout the intended version (it appears that you are using version 2.4.9, although more recent versions are available)
Follow the instructions here to build OpenCV and its Java bindings, thus yielding a dynamically linked library ("opencv_java249.dll", "libopencv_java249.so", or something else depending on your OS).
Copy the shared library file to your java.library.path (again, this variable is system-dependent, but can be defined when running your application). At this point you should be ready to use that artifact.
An alternative is to use other bindings: the JavaCPP presets for OpenCV seem to work just as nicely as the official ones, and these are registered in maven (binaries for various platforms included!). Just remember that the API may not be exactly the same.
This solution may sound too far out, but it has legitimately worked for me in the past. Basically, you can avoid using the bindings: implement your solution in C++, then either link it with the JVM via JNI or make it a separate application, used by the main application via other mechanisms of your system (process spawning, I/O channels, you name it). For instance, I have once made a service component for feature extraction that other programs would connect to via ZeroMQ sockets.
class Test {
public static void loadOpenCVNativeLibrary() {
nu.pattern.OpenCV.loadShared();
and after call it in your application class (with static main) for web application (spring boot for example) like this
static {
Test.loadOpenCVNativeLibrary();
public static void main(String[] args) throws UnknownHostException {
install jar in local maven repository with:
mvn install:install-file -Dfile=C:\opencv411\build\java\opencv-411.jar -DgroupId=org -DartifactId=opencv -Dversion=4.1.1 -Dpackaging=jar
create a dependency in pom.xml:
<dependency>
<groupId>org</groupId>
<artifactId>opencv</artifactId>
<version>4.1.1</version>
</dependency>
Now that jar is on, we need to somehow add the OpenCV libraries. I did this by adding the lib folder in java.library.path to the maven-surefire plugin:
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>2.22.2</version>
<configuration>
<argLine>-Djava.library.path=${project.build.outputDirectory}/lib</argLine>
</configuration>
</plugin>
public static void main(String[] arges) throws MalformedURLException,
IOException, Exception {
loadLibraries();
// create and print on screen a 3x3 identity matrix
System.out.println("Create a 3x3 identity matrix...");
Mat mat = Mat.eye(3, 3, CvType.CV_8UC1);
System.out.println("mat = " + mat.dump());
// prepare to convert a RGB image in gray scale
String location = "resources/Poli.jpg";
System.out.print("Convert the image at " + location + " in gray scale... ");
// get the jpeg image from the internal resource folder
Mat image = Imgcodecs.imread(location);
// convert the image in gray scale
Imgproc.cvtColor(image, image, Imgproc.COLOR_RGB2GRAY);
// write the new image on disk
Imgcodecs.imwrite("resources/Poli-gray.jpg", image);
System.out.println("Done!");
private static void loadLibraries() {
try {
InputStream in = null;
File fileOut = null;
String osName = System.getProperty("os.name");
// String opencvpath = System.getProperty("user.dir");
String opencvpath = "C:\\opencv411\\build\\java\\";
if (osName.startsWith("Windows")) {
int bitness = Integer.parseInt(System.getProperty("sun.arch.data.model"));
if (bitness == 32) {
opencvpath = opencvpath + "\\x86\\";
} else if (bitness == 64) {
opencvpath = opencvpath + "\\x64\\";
} else {
opencvpath = opencvpath + "\\x86\\";
} else if (osName.equals("Mac OS X")) {
opencvpath = opencvpath + "Your path to .dylib";
System.out.println(opencvpath);
// System.out.println("Core.NATIVE_LIBRARY_NAME = " + Core.NATIVE_LIBRARY_NAME);
System.out.println("Core.NATIVE_LIBRARY_NAME = " + "opencv_java411.dll");
// System.load(opencvpath + Core.NATIVE_LIBRARY_NAME + ".dll");
System.load(opencvpath + "opencv_java411.dll");
} catch (Exception e) {
throw new RuntimeException("Failed to load opencv native library", e);
For those who wants to use OpenCV 3.2 in MacOs environment, you can use following repository definition:
<repositories>
<repository>
<id>kodfarki</id>
<url>https://raw.githubusercontent.com/kodfarki/repository/master/</url>
</repository>
</repositories>
There is also an example project in https://github.com/kodfarki/opencv-example.
To use this example project, you still need to install OpenCV binaries
brew tap homebrew/science
brew install opencv3 --with-java --with-contrib
For windows there was a problem with @Sachin Aryal's answer. The answer by @Anirban Chakraborty is a very good hint. But, there was still issues at runtime as described in this thread.
Finally replacing OpenCV.loadShared(); with OpenCV.loadLocally(); worked for me.
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