File size: 10,316 Bytes

e62bc71

1
00:00:00,650 --> 00:00:00,960
OK.

2
00:00:01,020 --> 00:00:07,680
So welcome to the 21 point to where we actually start playing with our SSD inside by using sari

3
00:00:11,660 --> 00:00:18,240
Hi welcome to Chapter 21 point to where we start experimenting with the object of action SSD based on

4
00:00:18,280 --> 00:00:23,080
resonate and we do this on images webcams and all of them feel it and videos.

5
00:00:23,100 --> 00:00:24,580
So let's get started.

6
00:00:25,170 --> 00:00:27,000
So now we're here in a virtual machine.

7
00:00:27,000 --> 00:00:32,000
And this project is going to be a bit different as we have done because we remember we created a new

8
00:00:32,010 --> 00:00:38,120
environment so we have to launch what I put in the books from a new environment so fiercely that school

9
00:00:38,130 --> 00:00:49,140
source caps lock is on source activate T.F. the API to get us to not use on the school.

10
00:00:49,140 --> 00:00:49,680
There we go.

11
00:00:49,860 --> 00:00:51,950
So that's a environment that we're in right now.

12
00:00:52,230 --> 00:00:52,850
So that's good.

13
00:00:52,900 --> 00:00:54,010
I will have to.

14
00:00:54,010 --> 00:00:58,450
This will probably be any name you name that previously before if you're not using my pre-installed

15
00:00:58,710 --> 00:01:00,020
with your machine.

16
00:01:00,180 --> 00:01:07,080
So I put iPod it's on the books and it brings up a point on the book browser of Jupiter.

17
00:01:07,560 --> 00:01:12,950
So now what I want us to go to is really there are two ways to get a set up.

18
00:01:13,040 --> 00:01:18,540
You're supposed to download and I put it in the book file in the resources file that file was basically

19
00:01:19,420 --> 00:01:20,090
this here.

20
00:01:20,240 --> 00:01:20,940
All right.

21
00:01:20,940 --> 00:01:26,130
However I left it in the artery here in case you wanted to manually copy and paste it into the directory.

22
00:01:26,130 --> 00:01:28,640
So let's actually go ahead and do that.

23
00:01:28,650 --> 00:01:38,940
So copy this file control Control-C and the doctor wants you to go to was the Saathiya models models.

24
00:01:39,450 --> 00:01:45,240
Research sorry and object detection and pissed that file in to here.

25
00:01:45,430 --> 00:01:46,160
OK.

26
00:01:46,470 --> 00:01:48,070
This one here is actually ulo.

27
00:01:48,180 --> 00:01:51,780
It's not actually going to work to paste it into here.

28
00:01:52,260 --> 00:01:59,220
So now let's go to a Titan notebook browser and find this directory.

29
00:01:59,520 --> 00:02:00,740
So find the file.

30
00:02:00,740 --> 00:02:01,670
I should say so.

31
00:02:01,680 --> 00:02:04,270
Good models research.

32
00:02:04,560 --> 00:02:07,630
Scroll down to object detection

33
00:02:09,980 --> 00:02:16,610
right here and let's launch this file.

34
00:02:16,610 --> 00:02:23,220
Ok so here we go this file here is actually not a file I created I just modified it slightly.

35
00:02:23,260 --> 00:02:28,900
This is a father comes intensive flows observation API and it allows you to basically play with the

36
00:02:28,900 --> 00:02:31,850
different features in it it's in the official Demel.

37
00:02:32,180 --> 00:02:33,770
So let's run the first box here.

38
00:02:33,780 --> 00:02:40,990
So imports this plot of stuff in line by the way in case I haven't mentioned it to you what this does

39
00:02:40,990 --> 00:02:47,200
is that it generates matplotlib Matlab plots inside a phone book as opposed to having it be like an

40
00:02:47,200 --> 00:02:49,080
open TV and a new window.

41
00:02:49,540 --> 00:02:52,650
So anyway that's duties imports here as well.

42
00:02:53,230 --> 00:02:56,340
And let's run this block here.

43
00:02:56,470 --> 00:02:59,830
These old directories would basically point to different models.

44
00:02:59,830 --> 00:03:01,230
This is the SSD.

45
00:03:01,240 --> 00:03:04,220
This is a resident SSD will be using that street and the cocoa.

46
00:03:04,420 --> 00:03:09,840
That's a common object data set and it's going to download it the first time if you didn't already have

47
00:03:09,840 --> 00:03:12,490
it saved is going to lose here.

48
00:03:12,490 --> 00:03:16,680
Actually I do have it saved so it should not download.

49
00:03:16,690 --> 00:03:21,960
I hope it is doing something so maybe it is downloading.

50
00:03:22,010 --> 00:03:25,750
So anyway let's run this box and wait for that to finish.

51
00:03:27,520 --> 00:03:37,780
And we load a little nap some help a code and then we do our detection boxes here and don't mind these

52
00:03:38,590 --> 00:03:41,260
red things that look like it's going to be at URL.

53
00:03:41,450 --> 00:03:42,750
This will still run.

54
00:03:42,790 --> 00:03:44,360
So it's fine.

55
00:03:44,430 --> 00:03:44,920
So right.

56
00:03:44,950 --> 00:03:47,010
These these boxes have from now.

57
00:03:47,320 --> 00:03:52,450
So let's do that we do this one and remember some of us do it again.

58
00:03:53,220 --> 00:03:54,370
Let's run this one.

59
00:03:54,550 --> 00:03:57,760
And that actually was not up wanted yet.

60
00:03:57,760 --> 00:03:58,720
This is what we want.

61
00:03:58,730 --> 00:04:04,020
So it goes through the images in a Test spot and it still takes a while to run.

62
00:04:04,480 --> 00:04:05,110
To be fair.

63
00:04:05,500 --> 00:04:11,980
And what it's going to do is basically it's going to take that image it found out and basically run

64
00:04:11,980 --> 00:04:17,340
all of these SSD functions that require it to classify detect objects here.

65
00:04:17,590 --> 00:04:18,590
So here we go.

66
00:04:18,730 --> 00:04:26,440
So the first first test image it picked up this is a dog you can see it clearly says this woman.

67
00:04:26,690 --> 00:04:30,740
I'm pressing control and moving my mouse button and we can see it's a dog here.

68
00:04:30,770 --> 00:04:32,080
And you can see the probabilities.

69
00:04:32,260 --> 00:04:33,310
It's a bit hard to make out.

70
00:04:33,310 --> 00:04:37,720
Maybe we can actually change some parameters here to make this a little more legible.

71
00:04:37,870 --> 00:04:38,560
Insightful.

72
00:04:38,550 --> 00:04:39,790
I applied in the book.

73
00:04:40,080 --> 00:04:41,500
It's a dog here and a dog here.

74
00:04:41,530 --> 00:04:43,720
So it's quite good.

75
00:04:43,720 --> 00:04:45,790
This is the image I use in my presentation slide.

76
00:04:45,970 --> 00:04:51,940
You can see this is a kite kite kite person person and these are the probabilities which I can read

77
00:04:52,180 --> 00:04:55,260
it looks like 60 tree just looks like a hundred.

78
00:04:55,270 --> 00:04:57,400
But what it is it is.

79
00:04:57,400 --> 00:05:03,010
So now let's try it on a webcam and I'm pretty much looking like a bit of a mess right now because it's

80
00:05:03,010 --> 00:05:03,630
quite late.

81
00:05:03,640 --> 00:05:07,710
And I have not comb my hair for a while but I'm sober to try this.

82
00:05:07,720 --> 00:05:12,840
So let's run this webcam should come on any second now.

83
00:05:15,680 --> 00:05:15,940
All right.

84
00:05:15,980 --> 00:05:18,470
This is me in my natural element here.

85
00:05:18,680 --> 00:05:26,040
And you can see that actually went up T-shirt on ice free advertising for Apple.

86
00:05:26,060 --> 00:05:30,520
So this is me here and this is the person box that's affecting me right now.

87
00:05:30,560 --> 00:05:31,780
So this is actually pretty cool.

88
00:05:31,820 --> 00:05:37,640
So let me just close this and no let's try it out on the video.

89
00:05:37,650 --> 00:05:40,880
So this is a dash cam video I downloaded off YouTube.

90
00:05:40,960 --> 00:05:43,130
And so let's it it

91
00:05:49,000 --> 00:05:50,170
it sometimes takes a while to load.

92
00:05:50,170 --> 00:05:51,850
Oh there we go.

93
00:05:52,720 --> 00:05:54,630
So this is a tip.

94
00:05:54,850 --> 00:05:56,150
So this is pretty cool.

95
00:05:56,230 --> 00:05:58,190
If I if I do say so.

96
00:05:58,750 --> 00:06:05,170
So we're running it here detecting imprisons cause I think we just saw a bike from a mistaken call again

97
00:06:06,610 --> 00:06:08,090
and the frame rate isn't that bad.

98
00:06:08,170 --> 00:06:12,010
Honestly it being on a C.P. you not a GP.

99
00:06:12,280 --> 00:06:14,210
This is actually pretty sick.

100
00:06:18,900 --> 00:06:20,460
So let's close this video now.

101
00:06:21,560 --> 00:06:27,150
So you've just run and experimented with SSD single shot detector.

102
00:06:27,550 --> 00:06:29,090
So I hope you found this chapter fun.

103
00:06:29,090 --> 00:06:32,660
I found it quite fun to play with this as well.

104
00:06:32,660 --> 00:06:35,680
What you can do is put any video you want here.

105
00:06:36,150 --> 00:06:39,840
Another dashcam video as well and any images you want.

106
00:06:39,860 --> 00:06:45,590
We'll go there to see what fall they look at Image Pat.

107
00:06:45,600 --> 00:06:52,170
Basically find fine image that is obviously not defined there.

108
00:06:53,410 --> 00:06:54,450
Keep going.

109
00:06:56,320 --> 00:06:57,510
Testament.

110
00:06:57,720 --> 00:07:03,960
It is as if it's about OK syntactical test images.

111
00:07:05,850 --> 00:07:06,590
This one here.

112
00:07:07,020 --> 00:07:08,700
So this is the directory we're looking at.

113
00:07:08,710 --> 00:07:10,650
We had what else images in it.

114
00:07:10,700 --> 00:07:12,010
I'm not sure what's in this file.

115
00:07:12,040 --> 00:07:16,950
I guess it's a source file for you want to put your source for images to sometimes.

116
00:07:17,020 --> 00:07:18,300
So this is pretty cool.

117
00:07:18,530 --> 00:07:23,420
So you can experiment with a web cam with your test images and watch your videos.

118
00:07:23,520 --> 00:07:23,730
OK.