1
00:00:05,380 --> 00:00:12,040
Hi and welcome back in this lesson, we'll take a look at running an inference using Arcane Go, which

2
00:00:12,040 --> 00:00:16,630
is a very cool gun that has just been released in late 2021.

3
00:00:17,170 --> 00:00:21,910
So go ahead and open notebook three six and we can start messing with this scanner.

4
00:00:22,690 --> 00:00:27,850
So this gun auto auto to created a called Alex Burn.

5
00:00:28,330 --> 00:00:32,200
And you can check him out here and his Twitter, as well as donate to him here.

6
00:00:32,680 --> 00:00:36,580
And you can check out his GitHub as well here for the resource.

7
00:00:37,240 --> 00:00:39,410
So this is a license for this notebook here.

8
00:00:39,430 --> 00:00:44,830
You can view it if you need to and know this is a could here this.

9
00:00:45,040 --> 00:00:52,210
This cohered basically gets dark and gun code and model from its GitHub, and we also install fears

10
00:00:52,210 --> 00:00:57,430
that play torch and it's a package that we've been using in this notebook.

11
00:01:00,930 --> 00:01:02,970
So that's it takes about six seconds to get.

12
00:01:03,510 --> 00:01:10,020
And now this is a code here that allows us to basically load an image that we want to infer, you know,

13
00:01:10,590 --> 00:01:11,370
akin gump.

14
00:01:12,000 --> 00:01:13,470
And let's run this.

15
00:01:16,440 --> 00:01:23,880
There we go, so it took about 15 seconds to run and no, not a lot that we have to call it in the background.

16
00:01:24,320 --> 00:01:26,490
Now we have all of this around here.

17
00:01:26,970 --> 00:01:34,260
We can no, just run this process here that allows us now to upload an image here so we can choose any

18
00:01:34,260 --> 00:01:35,100
image we want.

19
00:01:35,580 --> 00:01:36,930
So I'm going to choose.

20
00:01:36,960 --> 00:01:39,000
Let's take a picture of my wife and I.

21
00:01:39,510 --> 00:01:42,120
This was taken at my cousin's wedding about a year ago.

22
00:01:42,840 --> 00:01:45,450
And no, we can just run this here.

23
00:01:46,710 --> 00:01:47,640
It's quite fast.

24
00:01:47,790 --> 00:01:49,110
The inference to this model?

25
00:01:49,980 --> 00:01:50,820
And then we go.

26
00:01:51,030 --> 00:01:52,350
So we got the output here.

27
00:01:52,350 --> 00:01:56,140
So it makes us look a bit gothic kind of evil, to be fair.

28
00:01:56,760 --> 00:01:59,220
But it's a very, very cool model.

29
00:01:59,220 --> 00:02:03,090
And again, which I hope you can experiment and have some fun with it.

30
00:02:03,540 --> 00:02:06,480
So that's it for the all Kim gang model.

31
00:02:06,840 --> 00:02:10,560
I do encourage you to check out what is work here and his GitHub.

32
00:02:11,130 --> 00:02:17,850
You can see some of the cool creations he's done with our Kim to celebration original 1.2 here, so

33
00:02:17,850 --> 00:02:19,160
you can see it's all quite good.

34
00:02:19,170 --> 00:02:21,270
It's very stylish, isn't it?

35
00:02:22,350 --> 00:02:28,530
And if you've watched the Netflix series Arcane, it's quite good as well, and it does definitely resemble

36
00:02:28,710 --> 00:02:31,110
the artistic style of that series.

37
00:02:31,680 --> 00:02:35,220
So you can see how guns can be used for very cool off generation.

38
00:02:35,940 --> 00:02:36,770
All right, thank you.

39
00:02:36,780 --> 00:02:38,670
And that's it for this lesson.

40
00:02:38,700 --> 00:02:44,610
I'll see you in the next section where we start looking at Siamese networks, so I'll see you then.

41
00:02:44,970 --> 00:02:45,270
But.