1 00:00:00,920 --> 00:00:06,390 So cropping images in something fairly straightforward I imagine most of you have done this in markets 2 00:00:06,390 --> 00:00:10,420 of wood or using your iPhone or any image editing software. 3 00:00:10,500 --> 00:00:14,580 It basically refers to extracting part of the image that you want. 4 00:00:14,580 --> 00:00:16,240 Hence you're moving the excess. 5 00:00:16,500 --> 00:00:20,120 So in this example here we just wanted to censor the rooftop of love. 6 00:00:20,520 --> 00:00:22,160 And that's what we get here. 7 00:00:22,710 --> 00:00:28,750 So let's take a look at how we do this and up NCB so you can see we actually doesn't have a direct cropping 8 00:00:28,750 --> 00:00:29,530 function. 9 00:00:29,580 --> 00:00:32,010 However it still easily done using them. 10 00:00:32,470 --> 00:00:34,900 And that's done in this line right here. 11 00:00:34,900 --> 00:00:42,190 So what number allows us to do is we can put our image right here and then using the indexing tools 12 00:00:42,520 --> 00:00:50,710 or Shin's in methods we finally started to enroll in a start and them and separated by a comma. 13 00:00:50,800 --> 00:00:58,080 And that basically extracts direct Hangal that we wanted in or well wanted to crop out initially. 14 00:00:58,270 --> 00:01:04,720 So the defined start row and start all we actually Lebow we lower the heights and it went for this and 15 00:01:04,720 --> 00:01:11,620 we actually take 25 percent of the height and 25 percent have to wait and then when 75 is 75 percent 16 00:01:11,620 --> 00:01:12,860 of the height and width. 17 00:01:13,360 --> 00:01:18,240 That gives us the exact center point of the move as you saw in the previous slide. 18 00:01:19,050 --> 00:01:19,660 Yeah. 19 00:01:20,690 --> 00:01:22,800 So as I just approximate it. 20 00:01:22,860 --> 00:01:28,880 What that do is I mentioned should be so basic starter a 25 percent here. 21 00:01:28,920 --> 00:01:34,890 Just sit at this distance from here to here is 25 percent and this distance from here to here is 75 22 00:01:34,890 --> 00:01:36,030 percent of the image. 23 00:01:36,360 --> 00:01:38,510 And similarly for columns here. 24 00:01:38,760 --> 00:01:42,740 So you can play with those values if you want to get into actual bodies. 25 00:01:42,750 --> 00:01:45,790 I just did this to make it easier to modify. 26 00:01:45,810 --> 00:01:48,230 So let's run this code and see how it works. 27 00:01:48,240 --> 00:01:51,260 So original image and this is a cropped image. 28 00:01:51,260 --> 00:01:53,120 It actually works fairly well. 29 00:01:53,460 --> 00:01:55,760 So let's show of strength overly this here. 30 00:01:55,800 --> 00:01:58,560 So you can actually understand a bit more what I did here. 31 00:01:58,950 --> 00:02:06,420 So by saying 75 25 percent rule with here I'm seeing start position of the rows you want to extract. 32 00:02:06,430 --> 00:02:07,400 Starts Here. 33 00:02:07,780 --> 00:02:12,710 That's 25 percent point and 75 percent point starts here. 34 00:02:13,050 --> 00:02:14,650 Actually these are homes or homes. 35 00:02:15,000 --> 00:02:18,270 And similarly with rows 25 percent starts here. 36 00:02:18,580 --> 00:02:24,890 As you can see is 25 percent from here to here and 75 percent value starts from here to here. 37 00:02:24,890 --> 00:02:28,710 So that's exactly how we get this cropped image here. 38 00:02:28,830 --> 00:02:33,760 And if you ever need to use this cropped image for anything else it actually stores it as corrupt. 39 00:02:33,780 --> 00:02:39,000 All these stories are cropped image here from a well known by indexing and that can be used for many 40 00:02:39,000 --> 00:02:40,930 other things going forward. 41 00:02:41,070 --> 00:02:42,110 So that's it for cropping.