void Start()
{
detectedObjects = new List <Detection>();
cam = GetComponent <Camera>();
sessionTrackables = new List <Trackable>();
//Subsrcibe to the RGB Image provider.
RGB_Image_Provider imageSource = GetComponent <RGB_Image_Provider>();
imageSource.OnImageAvailableCallback += new RGB_Image_Provider.OnImageAvailableCallbackFunc(onImageAvailable);
// Read object detector labels. Currently I use Open Images Dataset with 600 images.
label_list = labels.text.Split(new char[] { '\n' }, StringSplitOptions.RemoveEmptyEntries);
// Create GRPC client to connect to TF Serving.
channel = new Channel(server, ChannelCredentials.Insecure,
new List <Grpc.Core.ChannelOption> {
new ChannelOption(ChannelOptions.MaxReceiveMessageLength, int.MaxValue),
new ChannelOption(ChannelOptions.MaxSendMessageLength, int.MaxValue)
});
client = new PredictionService.PredictionServiceClient(channel);
//Read Model Meta Data.
var response = client.GetModelMetadata(new GetModelMetadataRequest()
{
ModelSpec = new ModelSpec()
{
Name = "default"
},
MetadataField = { "signature_def" }
});
Debug.Log("Connected to Tensorflow Serving Model:");
Debug.Log(response.ModelSpec.Name + " " + response.ModelSpec.Version);
}
// Start is called before the first frame update
void Start()
{
//Subsrcibe to the RGB Image provider.
RGB_Image_Provider imageSource = GetComponent <RGB_Image_Provider>();
imageSource.OnImageAvailableCallback += new RGB_Image_Provider.OnImageAvailableCallbackFunc(onImageAvailable);
DetectObjects objectDetector = GetComponent <DetectObjects>();
objectDetector.onDetectionAvailableCallback += new DetectObjects.OnDetectionAvailableCallbackFunc(onDetectionAvailable);
pointIds = new List <int>();
pointList = new List <Point>();
pointCache = new Dictionary <int, Point>();
detectionCache = new Dictionary <int, DetectionPoint>();
channel = new Channel(host + ":" + port, ChannelCredentials.Insecure);
client = new GenesisSimulator.GenesisSimulatorClient(channel);
cam = GetComponent <Camera>();
Screen.sleepTimeout = SleepTimeout.NeverSleep;
}
