sjaiswal25

public class YoloKerasModelImport {
	public static int nBoxes = 5;
	public static double [][] priorBoxes = {{0.57273, 0.677385}, {1.87446, 2.06253} ,
		{3.33843, 5.47434}, {7.88282, 3.52778}, {9.77052, 9.16828}};

	private static long seed;
	private static WorkspaceMode workspaceMode;

	public static void main(String[] args)

sjaiswal25

[net]
# Testing
#batch=1
#subdivisions=1
# Training
batch=64
subdivisions=16
width=224
height=224
channels=3

sjaiswal25

public class Obj_Detect {
    public static void main(String[] args) throws Exception {
        //org.openjdk.jmh.Main.main(args);
        Model model = ModelSerializer.restoreComputationGraph("/home/project/data/tiny_yolov2.zip",false);
        ParallelInference parallelInference = new ParallelInference.Builder(model).inferenceMode(InferenceMode.BATCHED).batchLimit(8).workers(4).build(); //.queueLimit(32)

        new Thread(() -> {
            try {
                new ObjectDetectorFromVideo(parallelInference).startRealTimeVideoDetection("/home/project/videos/adisys_cam_1.mp4");
                );