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Machine Learning with Python Machine Learning with Python @codeprogrammer · 68.6K subscribers
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• Apply a simple blur filter.
from PIL import ImageFilter
blurred_img = img.filter(ImageFilter.BLUR)

• Apply a box blur with a given radius.
box_blur = img.filter(ImageFilter.BoxBlur(5))

• Apply a Gaussian blur.
gaussian_blur = img.filter(ImageFilter.GaussianBlur(radius=2))

• Sharpen the image.
sharpened = img.filter(ImageFilter.SHARPEN)

• Find edges.
edges = img.filter(ImageFilter.FIND_EDGES)

• Enhance edges.
edge_enhanced = img.filter(ImageFilter.EDGE_ENHANCE)

• Emboss the image.
embossed = img.filter(ImageFilter.EMBOSS)

• Find contours.
contours = img.filter(ImageFilter.CONTOUR)


VII. Image Enhancement (ImageEnhance)

• Adjust color saturation.
from PIL import ImageEnhance
enhancer = ImageEnhance.Color(img)
vibrant_img = enhancer.enhance(2.0)

• Adjust brightness.
enhancer = ImageEnhance.Brightness(img)
bright_img = enhancer.enhance(1.5)

• Adjust contrast.
enhancer = ImageEnhance.Contrast(img)
contrast_img = enhancer.enhance(1.5)

• Adjust sharpness.
enhancer = ImageEnhance.Sharpness(img)
sharp_img = enhancer.enhance(2.0)


VIII. Drawing (ImageDraw & ImageFont)

• Draw text on an image.
from PIL import ImageDraw, ImageFont
draw = ImageDraw.Draw(img)
font = ImageFont.truetype("arial.ttf", 36)
draw.text((10, 10), "Hello", font=font, fill="red")

• Draw a line.
draw.line((0, 0, 100, 200), fill="blue", width=3)

• Draw a rectangle (outline).
draw.rectangle([10, 10, 90, 60], outline="green", width=2)

• Draw a filled ellipse.
draw.ellipse([100, 100, 180, 150], fill="yellow")

• Draw a polygon.
draw.polygon([(10,10), (20,50), (60,10)], fill="purple")


#Python #Pillow #ImageProcessing #PIL #CheatSheet

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