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Release version 1.5.5
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CHANGELOG.md

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### March 8, 2021 version 1.5.5
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* Have `Frame` and `FrameConverter` implement `AutoCloseable` to release memory explicitly ([issue #1574](https://github.com/bytedeco/javacv/issues/1574))
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* Add new `YOLONet` sample for object detection ([pull #1595](https://github.com/bytedeco/javacv/pull/1595))
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* Fix crash on `FFmpegFrameGrabber.stop()` when in `ImageMode.RAW` ([issue #1568](https://github.com/bytedeco/javacv/issues/1568))

README.md

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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacv-platform</artifactId>
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<version>1.5.4</version>
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<version>1.5.5</version>
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</dependency>
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```
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* Gradle (inside the `build.gradle` file)
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```groovy
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dependencies {
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implementation group: 'org.bytedeco', name: 'javacv-platform', version: '1.5.4'
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implementation group: 'org.bytedeco', name: 'javacv-platform', version: '1.5.5'
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}
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```
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* Leiningen (inside the `project.clj` file)
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```clojure
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:dependencies [
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[org.bytedeco/javacv-platform "1.5.4"]
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[org.bytedeco/javacv-platform "1.5.5"]
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]
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```
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* sbt (inside the `build.sbt` file)
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```scala
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libraryDependencies += "org.bytedeco" % "javacv-platform" % "1.5.4"
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libraryDependencies += "org.bytedeco" % "javacv-platform" % "1.5.5"
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```
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This downloads binaries for all platforms, but to get binaries for only one platform we can set the `javacpp.platform` system property (via the `-D` command line option) to something like `android-arm`, `linux-x86_64`, `macosx-x86_64`, `windows-x86_64`, etc. Please refer to the [README.md file of the JavaCPP Presets](https://github.com/bytedeco/javacpp-presets#downloads) for details. Another option available to Gradle users is [Gradle JavaCPP](https://github.com/bytedeco/gradle-javacpp), and similarly for Scala users there is [SBT-JavaCV](https://github.com/bytedeco/sbt-javacv).
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<modelVersion>4.0.0</modelVersion>
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<groupId>org.bytedeco.javacv</groupId>
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<artifactId>demo</artifactId>
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<version>1.5.4</version>
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<version>1.5.5</version>
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<properties>
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<maven.compiler.source>1.7</maven.compiler.source>
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<maven.compiler.target>1.7</maven.compiler.target>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacv-platform</artifactId>
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<version>1.5.4</version>
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<version>1.5.5</version>
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</dependency>
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<!-- Additional dependencies required to use CUDA and cuDNN -->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>opencv-platform-gpu</artifactId>
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<version>4.5.1-1.5.5</version>
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</dependency>
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<!-- Optional GPL builds with (almost) everything enabled -->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>ffmpeg-platform-gpl</artifactId>
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<version>4.3.2-1.5.5</version>
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</dependency>
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</dependencies>
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<build>
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If the binary files available above are not enough for your needs, you might need to rebuild them from the source code. To this end, the project files were created for:
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* Maven 3.x http://maven.apache.org/download.html
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* JavaCPP 1.5.4 https://github.com/bytedeco/javacpp
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* JavaCPP Presets 1.5.4 https://github.com/bytedeco/javacpp-presets
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* JavaCPP 1.5.5 https://github.com/bytedeco/javacpp
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* JavaCPP Presets 1.5.5 https://github.com/bytedeco/javacpp-presets
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Once installed, simply call the usual `mvn install` command for JavaCPP, its Presets, and JavaCV. By default, no other dependencies than a C++ compiler for JavaCPP are required. Please refer to the comments inside the `pom.xml` files for further details.
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platform/pom.xml

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<parent>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacpp-presets</artifactId>
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<version>1.5.5-SNAPSHOT</version>
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<version>1.5.5</version>
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<relativePath></relativePath>
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</parent>
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pom.xml

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<modelVersion>4.0.0</modelVersion>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacv</artifactId>
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<version>1.5.5-SNAPSHOT</version>
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<version>1.5.5</version>
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<name>JavaCV</name>
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<description>Java interface to OpenCV, FFmpeg, and more</description>

samples/pom.xml

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<modelVersion>4.0.0</modelVersion>
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<groupId>org.bytedeco.javacv</groupId>
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<artifactId>demo</artifactId>
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<version>1.5.4</version>
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<version>1.5.5</version>
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<properties>
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<maven.compiler.source>1.7</maven.compiler.source>
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<maven.compiler.target>1.7</maven.compiler.target>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacv-platform</artifactId>
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<version>1.5.4</version>
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<version>1.5.5</version>
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</dependency>
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<!-- Additional dependencies required to use CUDA and cuDNN -->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>opencv-platform-gpu</artifactId>
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<version>4.5.1-1.5.5</version>
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</dependency>
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<!-- Optional GPL builds with (almost) everything enabled -->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>ffmpeg-platform-gpl</artifactId>
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<version>4.3.2-1.5.5</version>
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</dependency>
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</dependencies>
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<build>

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