1 00:00:02,000 --> 00:00:08,000 In the previous part we have seen that how we can integrate YOLO V8 with flask and run on a video. 2 00:00:08,000 --> 00:00:12,000 So now we will see that how we can run on a live webcam feed. 3 00:00:12,000 --> 00:00:20,000 So to run on the live webcam feed, just change in the video path in the path dash x to zero. 4 00:00:20,000 --> 00:00:22,000 So I will just end this out. 5 00:00:23,000 --> 00:00:26,000 And in in this if just uncomment it. 6 00:00:26,000 --> 00:00:32,000 So now you can see over here in the path dash x I have just entered zero and I have just removed this 7 00:00:32,000 --> 00:00:34,000 part of the video path. 8 00:00:34,000 --> 00:00:38,000 I will have just removed the video path from here and just replaced it with zero. 9 00:00:38,000 --> 00:00:45,000 So by replacing this video path with zero, we will be able to run this on the live web can see it. 10 00:00:45,000 --> 00:00:50,000 So in the previous video we have already seen that how we can integrate YOLO V8 with flask. 11 00:00:50,000 --> 00:00:56,000 So by just replacing the video path with zero, we will be able to run this on the live webcam feed. 12 00:00:56,000 --> 00:01:01,000 So just write python just so now just run this script. 13 00:01:01,000 --> 00:01:03,000 Python flask app.py file. 14 00:01:03,000 --> 00:01:07,000 And now we will be able to run this on the live webcam feed. 15 00:01:07,000 --> 00:01:10,000 So this might take few seconds as well. 16 00:01:10,000 --> 00:01:11,000 So. 17 00:01:12,000 --> 00:01:14,000 Next, we just click out this part. 18 00:01:14,000 --> 00:01:14,000 Okay. 19 00:01:16,000 --> 00:01:20,000 Uh, before I just run this, let me just stop this from here. 20 00:01:20,000 --> 00:01:23,000 And instead of doing this, let me just. 21 00:01:24,000 --> 00:01:26,000 Rent this out and uncomment this. 22 00:01:26,000 --> 00:01:30,000 Let's create a new URL to run this on a live webcam feed. 23 00:01:31,000 --> 00:01:33,000 So just copy this from here. 24 00:01:34,000 --> 00:01:35,000 And. 25 00:01:36,000 --> 00:01:41,000 Just right here where care and just replace this path with zero. 26 00:01:41,000 --> 00:01:46,000 So if we just replace this path with zero, we will be able to run this on live webcam feed. 27 00:01:46,000 --> 00:01:49,000 So I've just replaced the video path with zero. 28 00:01:49,000 --> 00:01:55,000 So instead of just accommodating into the video URL, I have just created another URL by the name webcam. 29 00:01:55,000 --> 00:02:03,000 So here using apt route method, I've just created a webcam, so and just in the path dash x, I have 30 00:02:03,000 --> 00:02:09,000 just removed this video path and added zero so that I will be able to run this on the live webcam feed. 31 00:02:10,000 --> 00:02:11,000 So just run this now. 32 00:02:13,000 --> 00:02:16,000 Well, now, when will this call this webcam? 33 00:02:16,000 --> 00:02:20,000 I will be able to run this on the live webcam feed and do the detections. 34 00:02:21,000 --> 00:02:22,000 Or what is the error? 35 00:02:22,000 --> 00:02:25,000 Okay, so we just need to change this function. 36 00:02:25,000 --> 00:02:28,000 We cannot have two functions by the same name like we do. 37 00:02:28,000 --> 00:02:30,000 So now just run this again. 38 00:02:31,000 --> 00:02:35,000 So now we are just running the class app.py file. 39 00:02:35,000 --> 00:02:40,000 So now we see that we are able to do the detections on the live webcam feed or not. 40 00:02:40,000 --> 00:02:49,000 So just copy this URL from here, copy URL and just go over here and just write this and dash webcam 41 00:02:49,000 --> 00:02:53,000 and see if we are able to detect the detections on the live webcam feed or not. 42 00:02:54,000 --> 00:02:57,000 So let's see, how does it work? 43 00:02:57,000 --> 00:02:59,000 So I'm just also waiting with you. 44 00:03:02,000 --> 00:03:07,000 And now you can see over here we are able to track actions on the live webcam feed. 45 00:03:07,000 --> 00:03:07,000 Okay. 46 00:03:07,000 --> 00:03:15,000 So you can see over here, you can see that a bounding box around me and the label person with the confidence 47 00:03:15,000 --> 00:03:16,000 score of here as well. 48 00:03:20,000 --> 00:03:21,000 We'll wait and see that. 49 00:03:22,000 --> 00:03:26,000 Now, you can see here on the back side have the sofa and it's directing as the sofa. 50 00:03:27,000 --> 00:03:27,000 Okay. 51 00:03:27,000 --> 00:03:30,000 And here I have the tab is able to retract the tab or not. 52 00:03:30,000 --> 00:03:31,000 Let's see. 53 00:03:32,000 --> 00:03:38,000 Well, now you can see over here, it's directing the tablet as the laptop, although it's a tablet. 54 00:03:38,000 --> 00:03:40,000 So that's okay as well. 55 00:03:40,000 --> 00:03:45,000 So now you can see over here, it's working quite fine on the live webcam feed as well. 56 00:03:45,000 --> 00:03:51,000 We can can see that on the bounding box around me and the paper as well. 57 00:03:51,000 --> 00:03:53,000 So the results are good. 58 00:03:53,000 --> 00:03:53,000 Okay. 59 00:03:55,000 --> 00:04:00,000 So now you can see over here we are able to run this on the live webcam feed as well. 60 00:04:00,000 --> 00:04:02,000 And the results are quite impressive. 61 00:04:02,000 --> 00:04:09,000 So if you just want to run on video, so just need to go over here and we'll just refresh this, the 62 00:04:09,000 --> 00:04:15,000 URL we have already added, so we'll just refresh this dash video URL and see if you are able to do 63 00:04:15,000 --> 00:04:17,000 the detections on the video or not. 64 00:04:17,000 --> 00:04:24,000 So now if I just call this dash video, you can see over here we are able to do detections on the video. 65 00:04:24,000 --> 00:04:30,000 So you can see over here we have drawn the bounding box around the person with the label and the confidence 66 00:04:30,000 --> 00:04:30,000 score. 67 00:04:30,000 --> 00:04:36,000 And we have drawn the bounding box around the bicycle with the label bicycle and the confidence score 68 00:04:36,000 --> 00:04:37,000 over here as well. 69 00:04:37,000 --> 00:04:38,000 So that's quite impressive. 70 00:04:38,000 --> 00:04:40,000 We have also detected a traffic light. 71 00:04:40,000 --> 00:04:44,000 We have drawn the bounding box and here we have a label traffic light. 72 00:04:44,000 --> 00:04:50,000 So now you can see over here we are here we are getting that car and we have a label car and we have 73 00:04:50,000 --> 00:04:52,000 the confidence score over here as well. 74 00:04:52,000 --> 00:04:57,000 And here we are just getting the person and we have the confidence score. 75 00:04:57,000 --> 00:04:59,000 And here we are also detecting the motorbike. 76 00:04:59,000 --> 00:05:02,000 We have the label motorbike and the confidence score as well. 77 00:05:02,000 --> 00:05:09,000 So now we have seen that how we can integrate YOLO V8 with Flask and do the detections on the video 78 00:05:09,000 --> 00:05:11,000 or live webcam feed as well. 79 00:05:11,000 --> 00:05:17,000 So we have integrated YOLO V8 with flask and I was able to detections on video and on the live webcam 80 00:05:17,000 --> 00:05:18,000 feed. 81 00:05:18,000 --> 00:05:25,000 So now in the next video we will see that how we can create an HTML page and make this more. 82 00:05:26,000 --> 00:05:33,000 If you like, we can talk again further, polish this and create a complete HTML web page and do the 83 00:05:33,000 --> 00:05:34,000 styling using CSS. 84 00:05:34,000 --> 00:05:36,000 So see you all in the next part.