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Commit db6e46d

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# Introduction
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from PIL import Image
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img = Image.open("226.jpg")
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print(img.size)
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print(img.format)
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img.show() #as the console cant open images, so it opens the photos app to show the image
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# Cropping
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from PIL import Image
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img = Image.open("226.jpg")
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area = (100, 100, 400, 400) # The 1st 2 numbers are x,y coordinates of the top left corner and the last 2 are of the bottom right corner
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# area is a 4 value tuple
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cropped_img = img.crop(area) # The only parameter it takes is a 4 value tuple
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img.show()
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cropped_img.show()
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# Combining 2 images together
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from PIL import Image
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img1 = Image.open("226.jpg")
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img2 = Image.open("1234.jpeg")
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area = (100, 100, 625, 450) # We have to give a calculated area of the second image to be pasted on the first, otherwise error occurs
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img1.paste(img2, area) #it takes 2 parameters. Here we are pasting img2 on img1, with the given area where the img2 will be pasted
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img1.show()
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# Giving Filters to images
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# Individual Channels
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from PIL import Image
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img = Image.open("226.jpg")
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print(img.mode) # RGB is the mode
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r, g, b = img.split() # It returns a tuple of 3 images i.e, the amount of red, green and blue in the image
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r.show()
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g.show()
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b.show()
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# Merging effect -> merging the individual channels of R,G,B to create a filter
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img1 = Image.merge("RGB", (r, g, b)) # It takes in the mode and the colours
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# In the above case, it will print the same image
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img2 = Image.merge("RGB", (b, g, r))
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img2.show()
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img3 = Image.merge("RGB", (g, r, b))
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img3.show()
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img4 = Image.merge("RGB", (b, g, b))
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img4.show()
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# It just takes in the amount of R,G,B in the given given format(RGB), but different permutations give different results
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# Likewise we can use any other permutations, to form different filters of the images
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# Double Exposure:
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# to use this, the two images must be of the same size
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new_img1 = Image.open("1_Earth.jpg")
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new_img2 = Image.open("1_mario.jpg")
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r1, b1, g1 = new_img1.split()
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r2, b2, g2 = new_img2.split()
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final_image = Image.merge("RGB", (r1, b2, g1))
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final_image.show()
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#Basic transformations
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from PIL import Image
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img = Image.open("226.jpg")
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# Squarring the image -> just compresses the image size without cropping it
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square_img = img.resize((400, 400)) # Takes in a tuple
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square_img.show()
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# For any kind of rotation or flipping of image, always use "transpose" function
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# Flip
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flip_img1 = img.transpose(Image.FLIP_LEFT_RIGHT)
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flip_img2 = img.transpose(Image.FLIP_TOP_BOTTOM)
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flip_img1.show()
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flip_img2.show()
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# Rotate
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spin_img1 = img.transpose(Image.ROTATE_90)
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spin_img2 = img.transpose(Image.ROTATE_180)
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spin_img3 = img.transpose(Image.ROTATE_270)
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spin_img1.show()
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spin_img2.show()
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spin_img3.show()
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# Modes and Filters
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from PIL import Image
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from PIL import ImageFilter # Contains pretty cool built in filters
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img = Image.open("226.jpg")
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#Converting to black and white
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black_white = img.convert("L") # It takes in the format of the image you want to convert into. Eg: RGB, CMYK, L
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# L -> Luminance, which basically means black and white
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# CMYK -> Cyan, Magenta, Yellow, Key(Black), which is generally used in colour printing, pretty much same as RGB
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black_white.show()
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cmyk_img = img.convert("CMYK")
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cmyk_img.show()
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# Using image filters
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blur_img = img.filter(ImageFilter.BLUR)
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blur_img.show()
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detail_img = img.filter(ImageFilter.DETAIL)
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detail_img.show()
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edges_img = img.filter(ImageFilter.FIND_EDGES)
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edges_img.show()

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