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These are the user uploaded subtitles that are being translated: 1 00:00:00,090 --> 00:00:04,470 In this video, we'll show you how to install YOLO v seven CPU mode on windows. 2 00:00:04,590 --> 00:00:09,120 CPU mode is designed for computers or laptops that don't have an Nvidia GPU. 3 00:00:09,480 --> 00:00:13,500 If you have an nvidia CPU, you can follow the tutorial in the next video. 4 00:00:14,070 --> 00:00:18,360 The first step is to create an environment, press windows and type anaconda. 5 00:00:19,110 --> 00:00:20,790 Click on Anaconda Navigator. 6 00:00:26,800 --> 00:00:29,530 If it's already open click environments. 7 00:00:32,400 --> 00:00:36,840 Click create to start creating environments, then enter the environments name. 8 00:00:36,870 --> 00:00:40,590 In this example we name it YOLO seven CPU Envy. 9 00:00:45,070 --> 00:00:48,820 In Python, select Python 3.10, then click create. 10 00:00:49,570 --> 00:00:51,700 Wait until the environment is finished. 11 00:00:54,050 --> 00:00:55,850 It will look like this when it is finished. 12 00:00:57,730 --> 00:01:02,680 Then open the anaconda prompt, press the Windows key, then type anaconda. 13 00:01:04,190 --> 00:01:05,660 Click on any kind of prompt. 14 00:01:08,240 --> 00:01:15,590 After that, activate the environment, use the commands, activate yolo v seven zip you in V. 15 00:01:17,540 --> 00:01:20,660 If it looks like this, it means that the environment is active. 16 00:01:21,600 --> 00:01:25,320 Then navigate to the directory for the YOLO vs seven Source code will be safe. 17 00:01:25,350 --> 00:01:28,020 In this example, it will be stored in a directory. 18 00:01:28,050 --> 00:01:29,030 Use the command. 19 00:01:29,040 --> 00:01:29,490 The. 20 00:01:30,600 --> 00:01:31,560 Then press enter. 21 00:01:36,210 --> 00:01:39,120 The next step is to clone the whole of seven repository. 22 00:01:40,940 --> 00:01:44,900 First launch a browser, then visit the following repository. 23 00:01:45,230 --> 00:01:48,560 The original repository has been forced into this repository. 24 00:01:50,390 --> 00:01:54,260 The clone copied the repository link using click code. 25 00:01:55,200 --> 00:01:56,730 Then click the following button. 26 00:01:58,430 --> 00:02:03,470 If it has been copied back again to the prompt, then execute the command deed clone. 27 00:02:04,980 --> 00:02:06,780 Then paste the repository link. 28 00:02:06,810 --> 00:02:07,740 Press enter. 29 00:02:08,490 --> 00:02:10,740 Wait until the cloning process is finished. 30 00:02:15,120 --> 00:02:19,080 If it is completed, the results will be saved in all of seven folder. 31 00:02:21,460 --> 00:02:26,680 Change the name of the YOLO five seven folder to yolo C seven CPU use commands. 32 00:02:27,100 --> 00:02:31,870 When yolo five seven yolo five seven CPU Press enter. 33 00:02:32,470 --> 00:02:35,350 This is the root directory of the office seven Source code. 34 00:02:35,950 --> 00:02:43,810 Then navigate to the root folder of the yolo seven CPU using command c d yolo v seven CPU Press Enter. 35 00:02:47,550 --> 00:02:50,550 Next install python requirements using the command. 36 00:02:51,380 --> 00:02:52,310 Clip install. 37 00:02:52,970 --> 00:02:53,810 These are. 38 00:02:55,000 --> 00:02:55,630 Requirements. 39 00:02:55,630 --> 00:02:56,710 Dot text. 40 00:02:57,970 --> 00:02:58,280 Chris. 41 00:03:00,350 --> 00:03:02,390 Wait until the installation is finished. 42 00:03:11,290 --> 00:03:13,810 If it looks like this, the installation is finished. 43 00:03:14,350 --> 00:03:17,920 To test the installation, we will perform object detection on the image. 44 00:03:17,950 --> 00:03:23,230 However, before we begin the detection, we must first download the all of these seven ways we launched 45 00:03:23,230 --> 00:03:23,980 the browser. 46 00:03:24,250 --> 00:03:25,570 Scroll down after the. 47 00:03:27,490 --> 00:03:29,950 Here are some examples of weights that can be used. 48 00:03:31,960 --> 00:03:34,870 We will download with you all of these seven in this example. 49 00:03:36,600 --> 00:03:38,460 Wait until the download is finished. 50 00:03:42,890 --> 00:03:46,010 When you're finished, go to the downloads folder and open the file. 51 00:03:51,090 --> 00:03:54,780 Next move the words to the root folder of the seven CPU. 52 00:03:56,580 --> 00:03:59,250 Click the weights file, then press control X. 53 00:04:04,580 --> 00:04:08,750 Taste in the root folder of seven simply by pressing the control button. 54 00:04:11,270 --> 00:04:15,260 YOLO V seven includes a number of sample images that can be used for detection. 55 00:04:16,029 --> 00:04:19,810 Sample image located in the inference images folder. 56 00:04:20,980 --> 00:04:24,790 In this example, we will detect objects on the image, but not jpg. 57 00:04:27,400 --> 00:04:30,250 The return to the Anaconda prompt to perform the detection. 58 00:04:32,900 --> 00:04:36,350 Execute the command python detect dot pi. 59 00:04:37,740 --> 00:04:39,570 That's, that's why it's, you know, five, seven. 60 00:04:40,820 --> 00:04:41,990 That's that source. 61 00:04:42,410 --> 00:04:44,660 Inference images. 62 00:04:45,840 --> 00:04:47,160 Was not taped. 63 00:04:48,030 --> 00:04:48,720 Press enter. 64 00:04:51,220 --> 00:04:53,560 Wait for the detection process to finish. 65 00:04:55,490 --> 00:04:59,300 When finished, the detection results will be saved in the folder listed below. 66 00:05:01,190 --> 00:05:01,730 To see it. 67 00:05:01,730 --> 00:05:03,290 We open Windows Explorer. 68 00:05:05,090 --> 00:05:07,940 Then go back to the root folder of his seven CPU. 69 00:05:09,330 --> 00:05:12,330 Then navigate to the folder containing the detection results. 70 00:05:14,470 --> 00:05:16,630 The results of object detection using YOLO. 71 00:05:16,630 --> 00:05:17,980 Five seven are shown below. 72 00:05:26,500 --> 00:05:27,970 See you in the next video. 6197

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