1 00:00:00,150 --> 00:00:07,180 In this video, I'll create a script which converts color images, multiple color images into grayscale. 2 00:00:07,200 --> 00:00:12,330 So this is a solution to the exercise that you just got in the previous article. 3 00:00:12,720 --> 00:00:14,190 So this is my rifle. 4 00:00:14,190 --> 00:00:15,600 I have this empty main. 5 00:00:15,600 --> 00:00:16,740 That's why file here. 6 00:00:17,010 --> 00:00:27,720 And then I have prepared two folders, great images here and images images contains these three files. 7 00:00:28,170 --> 00:00:31,470 So three JPEG color images. 8 00:00:32,189 --> 00:00:40,730 So the purpose now is to convert these into grayscale and place them inside great images with Python, 9 00:00:40,740 --> 00:00:41,160 of course. 10 00:00:41,520 --> 00:00:42,390 Let's do that. 11 00:00:42,930 --> 00:00:44,250 What can we do first? 12 00:00:44,730 --> 00:00:47,130 How do you approach this problem? 13 00:00:47,490 --> 00:00:51,720 So when we perform multiple operations, we think about four loops. 14 00:00:51,900 --> 00:00:56,430 Therefore, it makes sense to create some sort of four. 15 00:00:57,180 --> 00:00:59,500 But what do we iterate through? 16 00:00:59,850 --> 00:01:06,000 We should iterate these file paths right away and do something with each of those file paths. 17 00:01:06,570 --> 00:01:09,420 Therefore, we need a list of those for pass. 18 00:01:09,870 --> 00:01:18,570 So I'm going to create a list using the OSU library, even though you could also use the Globe Library. 19 00:01:18,750 --> 00:01:19,860 I prefer OS 20 00:01:22,470 --> 00:01:32,250 and the list of methods of OS, which expects a path to a folder that contains the files for which you 21 00:01:32,250 --> 00:01:34,520 want to create a list for. 22 00:01:34,530 --> 00:01:38,550 So images that one is the path. 23 00:01:39,360 --> 00:01:45,990 And if a print images now and run, we get a list. 24 00:01:46,380 --> 00:01:55,320 It's a Python list and its image has its file name actually is the file path relative to the images 25 00:01:55,320 --> 00:01:55,950 folder. 26 00:01:56,220 --> 00:02:02,430 So the file path for Bear is there, the JPEG galaxy, the JPEG and so on. 27 00:02:02,850 --> 00:02:07,710 Now we can iterate for image in images. 28 00:02:09,030 --> 00:02:11,280 What should we do to each image? 29 00:02:11,490 --> 00:02:16,160 Well, first we want to open needs an open CV. 30 00:02:16,800 --> 00:02:19,590 For that, we need to import CV to. 31 00:02:20,590 --> 00:02:26,380 And then we say here, Kavita, to Dutt, I am reads. 32 00:02:27,520 --> 00:02:31,000 So we should provide the file name, right? 33 00:02:31,750 --> 00:02:36,350 Therefore, we see image, but this is not enough. 34 00:02:36,370 --> 00:02:37,270 You'll see why. 35 00:02:37,810 --> 00:02:40,420 Anyway, let's leave it for now and flag. 36 00:02:40,690 --> 00:02:43,540 We said, that's who we warned Grayscale Images. 37 00:02:43,540 --> 00:02:47,980 So let's give this as a grayscale and store it in a gray variable. 38 00:02:48,220 --> 00:02:52,300 So this variable contains the image object in grayscale mode. 39 00:02:53,380 --> 00:03:04,330 So once you create this great image, you want to run, I am right, which gets a file name. 40 00:03:04,660 --> 00:03:07,390 So this is the file name for the new image. 41 00:03:07,990 --> 00:03:17,500 And if you just give it a file name such as F, I saw an f string and you could do something like gray 42 00:03:17,680 --> 00:03:18,220 dash. 43 00:03:19,000 --> 00:03:27,610 And then you put the variable image, which in the current loop contains the bear, the JPEG image in 44 00:03:27,610 --> 00:03:30,400 the next, it will contain galaxy that JPEG and so on. 45 00:03:30,940 --> 00:03:36,460 So the file name will be Gray Dash, etc. That's a JPEG. 46 00:03:36,730 --> 00:03:37,060 Right? 47 00:03:37,390 --> 00:03:40,420 Let's run and see what errors we get. 48 00:03:41,050 --> 00:03:44,110 So first, we need to provide that image, of course. 49 00:03:44,650 --> 00:03:53,560 But even though we provide the object, the image object will gets another error, which is a bit difficult 50 00:03:53,560 --> 00:03:54,580 to understand, actually. 51 00:03:54,760 --> 00:03:58,000 So it sees that image empty in function. 52 00:03:58,000 --> 00:04:03,550 I'm right, which means that this thing here gray is empty. 53 00:04:03,790 --> 00:04:07,540 We could verify that by printing gray out. 54 00:04:08,230 --> 00:04:11,200 So print gray and you'll see it's none. 55 00:04:11,590 --> 00:04:15,130 That is because we have an issue here with paths. 56 00:04:15,400 --> 00:04:24,160 So when we do for image in images, we do get the image correctly as you see so bear. 57 00:04:25,380 --> 00:04:29,590 Was printed out here, and then we got none for Gray. 58 00:04:29,610 --> 00:04:31,110 The gray version of beer. 59 00:04:31,410 --> 00:04:37,440 So something here is not working well and that something is because, you know, if this mean that's 60 00:04:37,620 --> 00:04:41,220 why file is in this project directory here. 61 00:04:41,880 --> 00:04:50,010 And that means that if you give the script a file name such as Bear the J Pack as in this case. 62 00:04:52,200 --> 00:04:57,870 This script will look for Baird, the Jeep back in the main directory. 63 00:04:57,960 --> 00:05:06,120 So in the same directory where the script is, so it will look here, but there is no bare JPEG file 64 00:05:06,120 --> 00:05:07,230 in this directory. 65 00:05:07,710 --> 00:05:11,490 There is a bear, the Jeep, but that is inside. 66 00:05:16,340 --> 00:05:20,150 Images slash Baird, the Jeep back. 67 00:05:20,660 --> 00:05:23,480 So now it should work. 68 00:05:23,870 --> 00:05:32,120 So we get grey printed out the matrix and then we get printed out galaxy the jet pack for the next iteration. 69 00:05:32,390 --> 00:05:41,030 For that, the Galaxy Matrix and then Python, the jetpack and the Python matrix for that image. 70 00:05:41,420 --> 00:05:44,860 You see this to 55 to 55 to 55. 71 00:05:45,370 --> 00:05:48,540 And these are the pixels for the whites. 72 00:05:48,690 --> 00:05:57,920 Once the white pixels, which means you have 255 amount of reds and 255 amount of green and 255 amounts 73 00:05:57,920 --> 00:06:02,810 of blue, which gives a white pixel, that's sort of combination. 74 00:06:03,680 --> 00:06:06,170 Now we still have another issue here. 75 00:06:07,130 --> 00:06:15,830 You see that the grayscale images were not generated inside gallery images, but inside this main directory 76 00:06:16,160 --> 00:06:23,090 because of course, here when we grow them again, we just declare the file name. 77 00:06:23,330 --> 00:06:29,870 So since the script is in these main directory, it will just write a file in that main directory. 78 00:06:30,170 --> 00:06:35,930 Therefore, here we could also do grey images slash that. 79 00:06:36,230 --> 00:06:42,470 So now we give a string, which is a complete file path, including the folder. 80 00:06:42,650 --> 00:06:49,670 So if you see in gray images now, after I ran the script, you see the grayscale versions of those 81 00:06:49,670 --> 00:06:50,090 images. 82 00:06:51,130 --> 00:06:55,240 So I don't want these JPEG images here, so I'm just going to delete them. 83 00:06:55,450 --> 00:07:03,130 You can delete them here one by one, or you can go to the shell and to our EM four, remove all and 84 00:07:03,790 --> 00:07:04,750 everything for it. 85 00:07:04,870 --> 00:07:11,500 So asterisk means everything that JPEG wrong, that those images will disappear. 86 00:07:11,740 --> 00:07:19,030 But no, the was inside the folders because here we are in the main directory in that folder. 87 00:07:19,300 --> 00:07:23,470 So all that JPEG images of that folder were were deleted. 88 00:07:23,840 --> 00:07:27,460 And that is how to convert multiple images to Grayscale. 89 00:07:27,610 --> 00:07:28,220 Thank you for. 90 00:07:28,690 --> 00:07:29,560 I'll talk to you later.