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These are the user uploaded subtitles that are being translated: 1 00:00:00,300 --> 00:00:05,040 In this video, we'll show you how to use YOLO v seven to detect eight different object classes in an 2 00:00:05,040 --> 00:00:05,520 image. 3 00:00:05,550 --> 00:00:09,180 However, in this video we will perform the detection on Google collect. 4 00:00:09,270 --> 00:00:15,000 Make sure you have YOLO v seven installed on Google collect before starting the detection to begin once 5 00:00:15,000 --> 00:00:18,210 a web browser, then go to the Google color view URL. 6 00:00:22,080 --> 00:00:24,500 After that opened the all of seven notebook. 7 00:00:35,120 --> 00:00:36,620 Continue to scroll down. 8 00:00:38,130 --> 00:00:40,050 Navigate to the the text and section. 9 00:00:46,980 --> 00:00:49,350 This circle is used to mount Google Drive. 10 00:00:51,000 --> 00:00:52,320 Here's the explanation. 11 00:00:54,950 --> 00:00:55,370 In fourth. 12 00:00:55,370 --> 00:00:57,530 Try from Google Color with this command. 13 00:01:02,020 --> 00:01:04,629 Then this command is used to one Google drive. 14 00:01:08,010 --> 00:01:10,380 When the sale by pressing the following button. 15 00:01:15,180 --> 00:01:16,800 Click Connect to Google Drive. 16 00:01:18,020 --> 00:01:19,520 Exclusive Google Drive account. 17 00:01:23,160 --> 00:01:25,170 Scroll down and click the allow button. 18 00:01:32,220 --> 00:01:33,660 Continue to the next cell. 19 00:01:33,690 --> 00:01:35,700 This cell is used to enter my drive. 20 00:01:35,730 --> 00:01:37,080 Here's the explanation. 21 00:01:38,430 --> 00:01:40,560 This command is used to import OS. 22 00:01:45,420 --> 00:01:48,540 This command is to create a constant containing the string drive. 23 00:01:48,570 --> 00:01:49,470 My drive. 24 00:01:53,380 --> 00:01:54,580 To access my drive. 25 00:01:54,610 --> 00:01:55,660 Use this command. 26 00:02:00,560 --> 00:02:02,930 When the sale by pressing the following button. 27 00:02:04,150 --> 00:02:05,560 Continue to the next cell. 28 00:02:05,590 --> 00:02:08,080 This cell is used to enter the root folder of your office. 29 00:02:08,110 --> 00:02:08,680 Seven. 30 00:02:09,740 --> 00:02:12,380 We used the command city YOLO v seven. 31 00:02:13,600 --> 00:02:16,390 To view the contents of a folder used to command. 32 00:02:21,150 --> 00:02:23,520 When the sale by pressing the following button. 33 00:02:33,680 --> 00:02:36,290 After that, this code cell is used for detection. 34 00:02:38,750 --> 00:02:43,610 We will detect objects in the image here, but the source is a folder containing several images, not 35 00:02:43,610 --> 00:02:44,480 a single file. 36 00:02:44,510 --> 00:02:46,730 The folder is called inference images. 37 00:02:48,700 --> 00:02:51,750 Because color cannot directly display the detection results. 38 00:02:51,760 --> 00:02:53,680 It cannot use the view image argument. 39 00:02:53,710 --> 00:02:56,230 Use the following command to perform detection. 40 00:02:56,620 --> 00:02:58,810 Python detect the p. 41 00:02:59,990 --> 00:03:00,320 That's. 42 00:03:00,320 --> 00:03:02,150 That's why it's YOLO v seven. 43 00:03:03,150 --> 00:03:04,470 We use 0.5. 44 00:03:04,470 --> 00:03:08,520 In contrast, in the image size, we use 640. 45 00:03:11,380 --> 00:03:13,480 Insults, inference images. 46 00:03:19,470 --> 00:03:21,810 Run the sale by pressing the following button. 47 00:03:31,280 --> 00:03:33,620 Went for the detection process to fitness. 48 00:03:45,310 --> 00:03:46,540 Here are the results. 49 00:03:52,040 --> 00:03:53,960 There have been several images detected. 50 00:03:57,470 --> 00:03:59,980 The detection results are saved in the folder below. 51 00:04:05,220 --> 00:04:08,760 Then in the following cell, we read a function to display the image. 52 00:04:12,770 --> 00:04:15,740 Kite blood from Epworth is used to display the immense. 53 00:04:18,519 --> 00:04:21,070 Image from map of the bees used to read the image. 54 00:04:25,170 --> 00:04:27,720 Following that, we create a self image function. 55 00:04:30,190 --> 00:04:32,440 With one parameter, the image path. 56 00:04:38,100 --> 00:04:40,860 The function contains several lines of program code. 57 00:04:40,890 --> 00:04:42,750 The image is read using this code. 58 00:04:42,780 --> 00:04:45,930 This code is used to specify the size of the displayed image. 59 00:04:47,160 --> 00:04:49,140 The access is hidden using this code. 60 00:04:50,080 --> 00:04:52,060 The image is displayed using the skull. 61 00:04:56,110 --> 00:04:58,510 When the sale by pressing the following button. 62 00:05:08,140 --> 00:05:09,400 Proceed to the next cell. 63 00:05:09,430 --> 00:05:12,790 The cell image function will be called in this cell to display the image. 64 00:05:18,100 --> 00:05:22,660 In this example, we will display the detection results on the horses dot jpg image. 65 00:05:24,040 --> 00:05:25,240 Blocking its path. 66 00:05:25,240 --> 00:05:26,910 Then copy by pressing control. 67 00:05:26,920 --> 00:05:27,400 See? 68 00:05:33,220 --> 00:05:35,050 Delete previous parameters. 69 00:05:38,030 --> 00:05:40,610 Face the image by pressing control of the. 70 00:05:43,080 --> 00:05:45,420 Then run the sale by pressing the following button. 71 00:05:52,050 --> 00:05:53,460 It will then look like this. 72 00:05:59,420 --> 00:06:02,510 The next video will explain how to detect objects on video. 73 00:06:05,790 --> 00:06:07,230 See you in the next video. 5757