All language subtitles for 003 Windows YOLOv7 Object Detection on video and webcam (GPU Mode)

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,990 --> 00:00:07,540 In this video, we'll show you how to use the Office seven to detect the object classes on video and 2 00:00:07,540 --> 00:00:08,109 webcam. 3 00:00:08,140 --> 00:00:10,320 We have prepared the detection sample video. 4 00:00:10,330 --> 00:00:12,790 So the first step is to obtain the video. 5 00:00:14,050 --> 00:00:16,480 Lonesome a browser and navigate to the following you are. 6 00:00:20,060 --> 00:00:23,090 Then save the video, wrote the MP for your computer. 7 00:00:28,020 --> 00:00:29,880 Wait until the download is finished. 8 00:00:35,290 --> 00:00:38,440 When you're finished, go to the downloads folder and open the file. 9 00:00:40,970 --> 00:00:41,600 After that. 10 00:00:41,600 --> 00:00:44,210 Move the video to the office seven CPU folder. 11 00:00:48,240 --> 00:00:50,760 Click on the video, then press control X. 12 00:00:51,850 --> 00:00:54,940 Then navigate to the YOLO v seven zip use route folder. 13 00:00:56,210 --> 00:00:58,520 Place the video file in the inference folder. 14 00:01:00,260 --> 00:01:01,970 Faced by pressing control fee. 15 00:01:08,280 --> 00:01:11,100 Then launch the Anaconda prompt to begin the detection. 16 00:01:14,490 --> 00:01:16,830 Press the windows key, then type in condom. 17 00:01:17,040 --> 00:01:18,510 Click on any condom prompt. 18 00:01:25,330 --> 00:01:28,480 After that activate the all of seven CPU environment. 19 00:01:28,570 --> 00:01:29,830 Use the commands. 20 00:01:30,760 --> 00:01:31,600 Activate. 21 00:01:32,450 --> 00:01:32,840 YOLO. 22 00:01:32,840 --> 00:01:34,760 V 7 to 4 U and V. 23 00:01:36,300 --> 00:01:37,130 Chris intro. 24 00:01:40,240 --> 00:01:43,300 Then navigate to the all of 73 use route folder. 25 00:01:52,130 --> 00:01:58,130 We will detect objects in previously downloaded videos, specifically video roadmap for. 26 00:02:02,280 --> 00:02:03,090 For the Texan. 27 00:02:03,090 --> 00:02:04,440 Use the following command. 28 00:02:07,580 --> 00:02:11,960 Python detect the P That's that's why it's all of these seven. 29 00:02:16,330 --> 00:02:18,880 In contrast, we use 0.5. 30 00:02:21,830 --> 00:02:24,830 We use 640 pixels for the image size. 31 00:02:30,170 --> 00:02:30,920 In the source. 32 00:02:30,920 --> 00:02:33,290 We will detect the video roadmap for. 33 00:02:34,280 --> 00:02:35,870 Use of human fuel emits. 34 00:02:37,010 --> 00:02:37,820 Press enter. 35 00:02:46,120 --> 00:02:48,400 Wait for the detection process to finish. 36 00:03:00,190 --> 00:03:04,210 The results of object detection on video using all of seven is shown below. 37 00:03:13,420 --> 00:03:18,010 The detection result is not only displayed, but it is also saved in the runs detect folder. 38 00:03:19,680 --> 00:03:21,640 We open Windows Explorer to see. 39 00:03:23,270 --> 00:03:26,330 Then navigate to the all of his seven CPAs route folder. 40 00:03:29,290 --> 00:03:32,230 Navigate to the folder containing the detection results. 41 00:03:33,410 --> 00:03:34,700 Excuse the last folder. 42 00:03:36,330 --> 00:03:38,820 The following video is the safe detection result. 43 00:03:48,510 --> 00:03:51,090 Next, we will detect objects on a webcam. 44 00:03:51,090 --> 00:03:51,960 On the webcam. 45 00:03:51,990 --> 00:03:54,930 The source is zero and the view image argument is not used. 46 00:04:04,350 --> 00:04:06,810 Use the following command to perform detection. 47 00:04:08,500 --> 00:04:10,470 Titan detect the p. 48 00:04:13,580 --> 00:04:13,940 That's. 49 00:04:13,940 --> 00:04:15,200 That's why it's your office. 50 00:04:15,200 --> 00:04:15,770 Seven. 51 00:04:25,420 --> 00:04:27,970 In contrast, we use 0.5. 52 00:04:32,440 --> 00:04:35,470 We use 640 pixels for the image size. 53 00:04:38,570 --> 00:04:39,260 Insource. 54 00:04:39,260 --> 00:04:39,500 Right. 55 00:04:39,530 --> 00:04:40,070 Zero. 56 00:04:47,380 --> 00:04:48,160 First interim. 57 00:04:55,280 --> 00:04:57,590 Wait for the detection process to finish. 58 00:05:08,210 --> 00:05:11,750 The following is the results of object detection on a webcam with your office. 59 00:05:11,750 --> 00:05:12,350 Seven. 60 00:05:24,260 --> 00:05:26,510 The stop detection press Q. 61 00:05:30,340 --> 00:05:31,350 Similar to video. 62 00:05:31,360 --> 00:05:35,230 The detection results on the webcam is also stored in the runs detect folder. 63 00:05:36,370 --> 00:05:38,240 We open Windows Explorer to see. 64 00:05:41,660 --> 00:05:44,720 Then navigate to the 70 plus route folder. 65 00:05:44,750 --> 00:05:47,810 Navigate to the folder containing the detection results. 66 00:05:47,840 --> 00:05:49,100 Choose the last folder. 67 00:05:51,140 --> 00:05:53,600 The following video is the safe detection result. 68 00:05:59,020 --> 00:05:59,590 Thank you. 69 00:05:59,590 --> 00:06:01,090 And see you in the next video. 5163

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