WEBVTT

00:00.120 --> 00:00.920
Welcome back.

00:01.320 --> 00:04.800
Connect your device and run the application.

00:04.800 --> 00:06.800
Grant the permission.

00:06.800 --> 00:08.000
And here we go.

00:08.160 --> 00:11.520
This is our camera the hard disk and AirPods.

00:11.560 --> 00:13.120
No detections.

00:13.120 --> 00:15.120
So there is a problem.

00:15.120 --> 00:21.560
Let me check the code back to the detection listener on error on results detection result.

00:21.720 --> 00:23.440
Data class is correct.

00:23.480 --> 00:24.760
Object detector.

00:24.800 --> 00:33.280
Make sure the labels that the txt is similar to that and the HDD AirPods model the Tflite.

00:33.280 --> 00:36.400
And similar to this the box detection.

00:36.520 --> 00:43.280
We have the canvas for bounding boxes and labels for detected objects, and Android View for the camera.

00:43.320 --> 00:47.280
Maybe here we have the error or in the camera.

00:47.560 --> 00:48.800
So the camera.

00:48.960 --> 00:49.280
Oops.

00:49.320 --> 00:54.040
Not for taking photos, we need to use the image analysis.

00:54.280 --> 00:57.760
Um, by mistake I used the image capture.

00:57.800 --> 01:00.080
Let me run the application again.

01:00.120 --> 01:00.880
Here we go.

01:00.880 --> 01:02.800
And congratulations guys.

01:02.800 --> 01:05.880
We are detecting AirPods and the hard disk.

01:05.920 --> 01:13.000
You see how fast AirPods, hard disk C hard disk and change the angle.

01:13.160 --> 01:14.280
And here we go.

01:14.280 --> 01:19.480
Okay you see guys it's amazing I love this application hard disk.

01:19.520 --> 01:25.640
You see the inference 99% and the confidence 99%.

01:25.920 --> 01:28.720
You see 7050, 70.

01:28.760 --> 01:32.880
We are detecting objects greater than 50% okay.

01:33.040 --> 01:37.080
So congratulations guys for building this amazing application.