1 00:00:02,310 --> 00:00:06,980 OK so let's talk about blubbed detection so blood production songs but where. 2 00:00:07,200 --> 00:00:11,100 However if you've been into Computer Vision world for some time you would have bound to come across 3 00:00:11,100 --> 00:00:12,250 it by now. 4 00:00:12,300 --> 00:00:14,110 So what exactly is a blob. 5 00:00:14,400 --> 00:00:17,200 Well a blob just like a real life blob. 6 00:00:17,220 --> 00:00:22,350 I guess it's just a group of connected pixels that share similar property. 7 00:00:22,350 --> 00:00:27,210 So in this example of the sunflowers here you can see the sense of flowers some flowers all have similar 8 00:00:27,270 --> 00:00:28,860 green tinge here. 9 00:00:29,220 --> 00:00:34,590 That's basically what blubbed ejection has picked up now no properties can be size it can be shape and 10 00:00:34,590 --> 00:00:36,970 we actually get to that shortly. 11 00:00:36,990 --> 00:00:40,310 So in general how do we use open of his simple blood test. 12 00:00:40,470 --> 00:00:43,630 That's demitted what we call in Bigham. 13 00:00:43,710 --> 00:00:50,070 So what do we do first we create or initialize the detector object we input an image into detector. 14 00:00:50,070 --> 00:00:54,170 We then optin the key points and then we draw those key points like we do here. 15 00:00:54,180 --> 00:00:56,870 So let's actually get into the code and do this. 16 00:00:57,340 --> 00:00:57,680 OK. 17 00:00:57,720 --> 00:01:02,520 So let's open a simple blob detector file here selects you for point it. 18 00:01:03,000 --> 00:01:04,720 So here's a code for it here. 19 00:01:04,750 --> 00:01:05,760 Doesn't look too scary. 20 00:01:05,760 --> 00:01:07,850 It's pretty basic actually. 21 00:01:07,860 --> 00:01:10,680 So let's run this could see what's happening here. 22 00:01:10,710 --> 00:01:15,810 So we've loaded up a great skill image of sunflowers that you saw previously and we've identified blobs 23 00:01:15,810 --> 00:01:17,360 in the center of the fellows here. 24 00:01:18,210 --> 00:01:19,510 Quite nice. 25 00:01:19,530 --> 00:01:20,970 So let's see how we do this. 26 00:01:20,970 --> 00:01:23,530 So first if we RIDO imagen and previously. 27 00:01:23,520 --> 00:01:28,540 So if I just putting a zero here we can actually call grayscale image. 28 00:01:28,590 --> 00:01:30,500 I mean at a critical image in here. 29 00:01:30,640 --> 00:01:36,000 However this is zero actually signifies you're writing in this line of function here so you may have 30 00:01:36,000 --> 00:01:40,950 seen some open Sivy functions where we have numbers instead of the actual words here. 31 00:01:40,950 --> 00:01:42,180 That's just shorthand 32 00:01:44,910 --> 00:01:45,970 so I'm moving on. 33 00:01:46,240 --> 00:01:50,060 So the first part of this here is that we need to initialize the doctor. 34 00:01:50,290 --> 00:01:52,040 So we call this function here. 35 00:01:52,130 --> 00:01:58,850 Well this class actually and we create to detect the object and using this object now we actually pass. 36 00:01:58,870 --> 00:02:01,980 We run the detect method within this object here. 37 00:02:02,350 --> 00:02:08,380 We pass the image the input image into it here and this gives us several key points key points being 38 00:02:08,380 --> 00:02:09,950 all blubs detected. 39 00:02:10,060 --> 00:02:12,140 So it is no tuning of parameters here. 40 00:02:12,520 --> 00:02:17,460 What is some tuning up from now is basically here where we draw the key points and image. 41 00:02:17,480 --> 00:02:24,190 Now however these parameters don't affect the number of blobs that were identified they just affect 42 00:02:24,220 --> 00:02:27,250 how would a ball blubbers looked like on the image itself. 43 00:02:29,170 --> 00:02:32,100 So this is pretty self-explanatory here. 44 00:02:32,120 --> 00:02:39,330 In that image the key points we identified so blank actually here as well as open Zeevi type Quick's. 45 00:02:39,400 --> 00:02:41,950 It's just a one by one matrix of zeroes here. 46 00:02:41,950 --> 00:02:44,840 So pretty much ignore it and just use this going forward. 47 00:02:44,920 --> 00:02:51,430 This here's a color which we use yellow is green and red here and this is how we draw the points here. 48 00:02:51,430 --> 00:02:54,600 So it actually just changed this just now to reach key points. 49 00:02:54,650 --> 00:02:56,760 We can see it's actually yellow now. 50 00:02:56,860 --> 00:03:01,710 However Initially we used the default one which I believe was this dude. 51 00:03:02,290 --> 00:03:04,510 The fold there just looks a bit smaller. 52 00:03:04,520 --> 00:03:06,190 So it is no big difference. 53 00:03:06,940 --> 00:03:07,310 OK. 54 00:03:07,360 --> 00:03:08,380 So let's move on to it. 55 00:03:08,390 --> 00:03:14,590 Too many projects where we actually filter different types of blobs because as you saw here in simple 56 00:03:14,590 --> 00:03:17,660 blood detect and detect there's no problem to here. 57 00:03:17,830 --> 00:03:18,990 Well actually there is. 58 00:03:19,060 --> 00:03:20,220 We'll get to it shortly.