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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,070 --> 00:00:05,010 Okay, Then we will continue to detect objects in video. 2 00:00:06,160 --> 00:00:09,460 The notebook use is the same as before the all of his seven notebook. 3 00:00:15,000 --> 00:00:18,540 If you haven't already mounted Google Drive, run the three cells below. 4 00:00:22,130 --> 00:00:25,040 After that, never get to the detection on video section. 5 00:00:28,090 --> 00:00:31,780 YOLO 5/7 repository does not include any sample videos. 6 00:00:32,890 --> 00:00:35,860 As a result, we provide a sample video for detection. 7 00:00:35,890 --> 00:00:37,870 The video is the MP for. 8 00:00:41,260 --> 00:00:43,510 The first cell is used to download the video. 9 00:00:50,120 --> 00:00:52,850 Use the command g down, then link the video. 10 00:00:55,060 --> 00:00:57,400 When the sale by pressing the following button. 11 00:01:04,269 --> 00:01:06,940 After that place the video in the inference folder. 12 00:01:08,110 --> 00:01:09,130 Use the command. 13 00:01:09,160 --> 00:01:09,850 MP. 14 00:01:10,720 --> 00:01:11,020 MP. 15 00:01:11,020 --> 00:01:12,340 For inference. 16 00:01:14,110 --> 00:01:16,510 When the sale by pressing the following button. 17 00:01:20,510 --> 00:01:22,820 Then we try to see what's in the insurance folder. 18 00:01:23,840 --> 00:01:26,240 Use the command less inference. 19 00:01:36,270 --> 00:01:40,220 Next, we will detect the video roadmap for just like an image. 20 00:01:40,230 --> 00:01:42,090 We cannot use the view image argument. 21 00:01:46,090 --> 00:01:51,310 Use the following command to perform detection python detect dog p y. 22 00:01:52,510 --> 00:01:52,870 That's. 23 00:01:52,870 --> 00:01:54,130 That's why it's your office. 24 00:01:54,130 --> 00:01:54,700 Seven. 25 00:01:55,860 --> 00:01:58,320 We use 0.5 in the countries. 26 00:01:59,310 --> 00:02:00,360 In the image size. 27 00:02:00,360 --> 00:02:01,920 We use 640. 28 00:02:03,000 --> 00:02:05,700 In-source read inference roadmap for. 29 00:02:06,900 --> 00:02:09,240 When the sale by pressing the following button. 30 00:02:19,350 --> 00:02:21,990 This is a detection process on each video frame. 31 00:02:29,010 --> 00:02:31,350 Went for the detection process to Phoenix. 32 00:02:36,650 --> 00:02:38,690 When finished, it will look like this. 33 00:02:44,770 --> 00:02:47,140 Next, check the detection results folder. 34 00:02:48,720 --> 00:02:49,690 Use the command. 35 00:02:49,710 --> 00:02:50,790 Less runs the. 36 00:02:52,530 --> 00:02:54,870 When the sale by pressing the following button. 37 00:02:56,060 --> 00:02:58,730 The detection results can be found in the last folder. 38 00:02:59,780 --> 00:03:02,060 In this example, the XP four folder. 39 00:03:05,740 --> 00:03:07,480 We attempt to open that folder. 40 00:03:08,620 --> 00:03:09,430 Why drive? 41 00:03:10,610 --> 00:03:11,030 YOLO. 42 00:03:11,030 --> 00:03:11,230 Five. 43 00:03:11,240 --> 00:03:11,810 Seven. 44 00:03:13,490 --> 00:03:14,600 Once they take. 45 00:03:16,700 --> 00:03:17,740 XP for. 46 00:03:18,890 --> 00:03:20,870 This is a video of the detection result. 47 00:03:21,470 --> 00:03:22,880 We download the video. 48 00:03:29,450 --> 00:03:31,340 Wait until the download is finished. 49 00:03:39,630 --> 00:03:42,810 When you're finished, go to the downloads folder and open the file. 50 00:03:55,010 --> 00:03:56,270 We open the video. 51 00:04:03,880 --> 00:04:07,930 This is the result of object detection in the video, which is run on Google Scholar. 52 00:04:09,890 --> 00:04:13,460 In the next video, we will explain training on custom objects. 53 00:04:13,490 --> 00:04:14,180 See you then. 3900