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These are the user uploaded subtitles that are being translated: 1 00:00:00,150 --> 00:00:03,020 Hey guys this is adland a second instructor here. 2 00:00:03,060 --> 00:00:05,850 Now it is my turn to welcome you into the computer vision. 3 00:00:05,880 --> 00:00:11,280 It is of course and we're going to start with this page that we made for you which contains all the 4 00:00:11,280 --> 00:00:12,930 resources of the course. 5 00:00:12,960 --> 00:00:19,020 So not only contains the code templates but also as you will see some additional reading to accompany 6 00:00:19,320 --> 00:00:22,470 your understanding of the theory explains in the course. 7 00:00:22,560 --> 00:00:24,810 So this page you can find it at. 8 00:00:24,810 --> 00:00:32,160 W w w that super data signs that come slash computer haif envision and now in this quilt is all I'm 9 00:00:32,160 --> 00:00:37,380 going to walk you through this page and show you how you can get all these resources. 10 00:00:37,440 --> 00:00:44,040 So as you can see it follows the exact same structure as in the course with our three modules and it 11 00:00:44,040 --> 00:00:45,810 starts with this section. 12 00:00:45,810 --> 00:00:51,870 Welcome to the course that contains the computer vision is that template folder which contains the whole 13 00:00:51,870 --> 00:00:53,750 folder structure with three modules. 14 00:00:53,940 --> 00:00:57,660 But don't be surprised if the folders inside are empty. 15 00:00:57,660 --> 00:01:02,610 That is just for you to have the main folder of the course that I will use in the different tutorials 16 00:01:02,970 --> 00:01:07,910 and then later on when you start the modules you will add the different codes and the different resources 17 00:01:07,920 --> 00:01:08,790 you want. 18 00:01:08,820 --> 00:01:14,070 So that's just for you to start with the right structure and then you have this second link here which 19 00:01:14,070 --> 00:01:19,670 is the link to download the virtual platform the virtual platform is a special new tool. 20 00:01:19,680 --> 00:01:24,840 In this course it contains all the pre-installed packages that you will need to execute the different 21 00:01:24,840 --> 00:01:26,340 models who will implement. 22 00:01:26,340 --> 00:01:31,170 And so basically once you install the virtual platform you will never have any installation to worry 23 00:01:31,170 --> 00:01:31,970 about. 24 00:01:31,980 --> 00:01:32,620 All right. 25 00:01:32,850 --> 00:01:38,460 And then you have two different modules of the Course module one face detection with open Sivy module 26 00:01:38,460 --> 00:01:45,300 two object detection with SSD and module 3 image creation with guns and for each of the three modules 27 00:01:45,300 --> 00:01:47,700 you will find the same structure. 28 00:01:47,700 --> 00:01:53,760 First we start with some additional reading so that after you watched intuition lectures by your real 29 00:01:54,000 --> 00:01:57,130 Who then will recommend some papers to read. 30 00:01:57,150 --> 00:02:01,350 Well these are these papers here that are in the additional reading section. 31 00:02:01,350 --> 00:02:07,230 So I recommend to read them that will give you an even deeper understanding of the theory and then of 32 00:02:07,230 --> 00:02:09,050 course you have the code template. 33 00:02:09,060 --> 00:02:14,030 So that's where you download the codes and the data sets for you to execute the models. 34 00:02:14,040 --> 00:02:19,710 So in the code you will see each time one commented version of the code where each line of code is commented 35 00:02:20,010 --> 00:02:24,340 and one non-committed version of the code and that will be the code we will implement. 36 00:02:24,480 --> 00:02:25,620 So these are just the same codes. 37 00:02:25,650 --> 00:02:28,180 But you can choose to see the comments or not. 38 00:02:28,350 --> 00:02:34,130 And after we implement the code together we will tackle the homework challenge of the section. 39 00:02:34,200 --> 00:02:40,080 And as you can see for module one face detection with open city the challenge will be to build a happiness 40 00:02:40,080 --> 00:02:45,750 detector and for this homework and the others you will find the homework challenge instructions and 41 00:02:45,840 --> 00:02:49,320 the homework challenge solution containing the code of the solution. 42 00:02:49,410 --> 00:02:54,340 And then of course new to me you will find a video lecture that explains the solution. 43 00:02:54,360 --> 00:02:59,370 All right and then that's the same for the other modules in module too early detection with SSD will 44 00:02:59,370 --> 00:03:02,720 find again some additional reading the code templates. 45 00:03:02,760 --> 00:03:08,640 So here make sure to download the right code template for your system because as you can see the code 46 00:03:08,730 --> 00:03:12,870 is different whether you have a Mac in Linux or a windows. 47 00:03:12,870 --> 00:03:14,610 So make sure to download the right one. 48 00:03:14,850 --> 00:03:18,220 But then in this module you will find a special element. 49 00:03:18,250 --> 00:03:20,870 It's this one here training the SSD. 50 00:03:20,880 --> 00:03:27,570 We wanted to separate this element in the structure because training SSD is really overwhelming with 51 00:03:27,570 --> 00:03:28,550 a huge code. 52 00:03:28,680 --> 00:03:34,350 So we wanted to put it separately and therefore by clicking on this link you will get the code that 53 00:03:34,410 --> 00:03:40,890 you can use to train the SSD model and the other code the code here is just for the detection so only 54 00:03:40,890 --> 00:03:44,040 for this module we separated the detection and the training. 55 00:03:44,220 --> 00:03:49,770 And then again you'll find the homework challenge of module 2 which is by the way really exciting you 56 00:03:49,770 --> 00:03:50,910 will see the video. 57 00:03:50,910 --> 00:03:55,710 It is about detecting some epic horses galloping in Monument Valley. 58 00:03:55,920 --> 00:03:59,940 So it's actually my favorite Homer challenge in the course and you'll see we're going to have a lot 59 00:03:59,940 --> 00:04:00,970 of fun on this. 60 00:04:01,260 --> 00:04:06,300 And so you will find again the homework challenge instructions and the homework challenge solution. 61 00:04:06,300 --> 00:04:12,180 And then eventually in module 3 image creation with Gannes you will find your additional reading and 62 00:04:12,180 --> 00:04:18,660 then you will find the code templates which contains not only the code to create some images with generative 63 00:04:18,690 --> 00:04:21,580 as the social networks but also the code of the training. 64 00:04:21,690 --> 00:04:25,160 And this time we do everything at the same time. 65 00:04:25,170 --> 00:04:25,520 All right. 66 00:04:25,530 --> 00:04:31,260 And no homework for this section because you will see that this is a pretty big section and that's because 67 00:04:31,260 --> 00:04:33,160 we implement the whole training from scratch. 68 00:04:33,310 --> 00:04:38,430 But a great and actually the most relevant homework would be to reproduce yourself. 69 00:04:38,610 --> 00:04:44,340 The training that is recode from scratch the implementation of the Gannes including the training you're 70 00:04:44,340 --> 00:04:49,140 going to see that this will already be huge an excellent practice. 71 00:04:49,140 --> 00:04:50,820 All right so that's this page. 72 00:04:50,820 --> 00:04:53,470 Make sure to always have it open with you. 73 00:04:53,550 --> 00:04:58,980 It contains some really valuable resources that I highly recommend to check out regularly. 74 00:04:59,030 --> 00:05:04,930 And now Rylands the virtual platform in the next story also make sure before to click on this link here 75 00:05:04,930 --> 00:05:05,950 to download it. 76 00:05:06,070 --> 00:05:10,040 And then once it's downloaded we will install it in the next Tauriel. 77 00:05:10,120 --> 00:05:11,820 Until then enjoy computer vision. 8602