Tensorflow Java pipeline and examples. This simple Java pipeline for TensorFlow Java API supports Tensorflow >= 1.4 and it has been tested with Tensorflow from TF 1.4.0 to TF 1.13.1. 🆕
You need to run the jni.sh
to install the right Java bindings for your platform and the download.sh
script that will download the inception5
model in order to be ready to run a simple examples:
git clone https://github.com/loretoparisi/tensorflow-java.git \
cd tensorflow-java \
sh jni.sh \
sh download.sh \
Create a simple Java class with a main to be executable and import org.tensorflow.TensorFlow
import org.tensorflow.TensorFlow;
public class TensorFlowExample {
public static void main(String[] args) {
System.out.println("TensorFlowExample using TensorFlow version: " + TensorFlow.version());
}
}
Save it and then from command line compile and run
cd tensorflow-java
javac -cp lib/libtensorflow-1.13.1.jar TensorFlowExample.java
java -cp lib/libtensorflow-1.13.1.jar:. -Djava.library.path=./jni TensorFlowExample
If you get the TensorFlow version as output it worked!
TensorFlowExample using TensorFlow version: 1.13.1
We use the LabelImage
official Tensorflow example to label an example image with the inception graph model.
$ javac -cp lib/libtensorflow-1.13.1.jar LabelImage.java
$ java -cp lib/libtensorflow-1.13.1.jar:. -Djava.library.path=./jni LabelImage models/ images/example-400x288.jpg
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This example is provided as it is and it is based on the official Tensorflow Java JNI wrapper and example available here.