All language subtitles for 007 Google Colab Make configuration file

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,080 --> 00:00:04,440 Okay, Then we will continue to create the configuration file. 2 00:00:05,240 --> 00:00:06,080 To make it easier. 3 00:00:06,080 --> 00:00:11,180 We download sample data and configuration files once a browser and navigate to the following. 4 00:00:11,180 --> 00:00:11,900 You are ill. 5 00:00:13,260 --> 00:00:19,740 Coco Dot Jarmon is in that file and owner of seven dot Yamma is a configuration file download both files. 6 00:00:30,890 --> 00:00:31,700 When finished. 7 00:00:31,730 --> 00:00:33,110 Go to downloads folder. 8 00:00:38,220 --> 00:00:42,240 Next move these two files to the folder that was created in the previous video. 9 00:00:42,270 --> 00:00:46,600 In this example, the dataset collab folder in the D directory will look like this. 10 00:00:46,620 --> 00:00:48,120 Then press control X. 11 00:00:54,810 --> 00:00:56,580 Faced by pressing control fee. 12 00:00:56,610 --> 00:00:58,290 First, create a data file. 13 00:01:02,240 --> 00:01:06,050 This file stores the dataset for a number of class and class names. 14 00:01:06,050 --> 00:01:08,360 We name the cocoa file to a face mask. 15 00:01:16,150 --> 00:01:21,700 Then open the file in this example, using Visual Studio Code for an alternative, you can use another 16 00:01:21,700 --> 00:01:22,600 text editor. 17 00:01:25,440 --> 00:01:27,570 First remove the previous value. 18 00:01:39,740 --> 00:01:40,370 In train. 19 00:01:40,370 --> 00:01:41,360 We were to train that. 20 00:01:47,860 --> 00:01:49,440 In this example data. 21 00:01:50,850 --> 00:01:52,200 Face mask dataset. 22 00:01:56,920 --> 00:01:58,150 Images train. 23 00:02:02,410 --> 00:02:04,630 Well, we like the fact that the validation. 24 00:02:05,790 --> 00:02:08,610 In this example, the face mask dataset. 25 00:02:12,950 --> 00:02:13,730 Images. 26 00:02:13,730 --> 00:02:14,300 They'll. 27 00:02:16,690 --> 00:02:18,450 In the test, we write the test data. 28 00:02:18,880 --> 00:02:21,700 In this example, data face must dataset. 29 00:02:25,780 --> 00:02:26,980 Images first. 30 00:02:30,680 --> 00:02:32,690 But just the number of classes in NC. 31 00:02:33,050 --> 00:02:35,420 In this example, the number of classes is three. 32 00:02:38,220 --> 00:02:38,880 It names. 33 00:02:38,880 --> 00:02:40,370 Match the class names. 34 00:02:42,230 --> 00:02:43,760 In this example must. 35 00:02:44,770 --> 00:02:45,540 No mass. 36 00:02:48,680 --> 00:02:49,790 In bed, Musk. 37 00:02:54,850 --> 00:02:56,800 Saved by pressing the control as. 38 00:02:58,130 --> 00:03:04,280 Mix, create the configuration file, rename the URL of these seven file to YOLO v seven face mask. 39 00:03:13,850 --> 00:03:16,040 Then open the file using a text editor. 40 00:03:19,870 --> 00:03:21,970 Since the number of classes in the NC. 41 00:03:24,770 --> 00:03:27,230 In this example, the number of classes is three. 42 00:03:29,780 --> 00:03:31,670 Saved by pressing control as. 43 00:03:33,900 --> 00:03:38,820 The next step is to upload the dataset data file and configuration file on Google Drive. 44 00:03:44,920 --> 00:03:49,990 Night and Google Drive because the all of his seven source code will be safe in the YOLO v seven folder 45 00:03:49,990 --> 00:03:51,850 on Google Drive during installation. 46 00:03:53,300 --> 00:03:54,590 Here is an example. 47 00:03:54,680 --> 00:03:57,890 The dataset and data file will be uploaded to the data folder. 48 00:03:57,920 --> 00:04:01,820 Upload the dataset and data file by dragging the two files like this. 49 00:04:03,430 --> 00:04:05,200 Wait until the upload is finished. 50 00:04:11,410 --> 00:04:15,400 Next, upload the configuration file to the CFG training folder. 51 00:04:23,880 --> 00:04:26,270 Read the configuration file as follows. 52 00:04:37,700 --> 00:04:40,460 The training process will be explained in the next video. 53 00:04:40,670 --> 00:04:42,200 See you in the next video. 4178

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