This article mainly introduces the python implementation of multiple image superposition output in detail, the article sample code introduction is very detailed, has a certain reference value, interested partners can refer to it. The example of this article is to share the python implementation of multiple image overlay output for your reference. The details are as follows

code

from PIL import Image def add_alpha_channel(img): Img = image.open (img) img = img.convert('RGBA') # change Image transparency # factor = 0.7 # img_blender = image.new ('RGBA', img.size, (0, 0, 0, 0)) # img = Image.blend(img_blender, img, factor) return img def image_together(image, layer1, layer2, save_path, save_name): layer1 = layer1 layer2 = layer2 base = image bands = list(layer1.split()) heigh, width = layer1.size for i in range(heigh): for j in range(width): r, g, b, a = layer1.getpixel((i, j)) if r == 0: Layer1.putpixel ((I, j), (0, 0, 0, 0)) # else: Putpixel ((I, j), (0, 0, 256, 200)) # Paste (layer1, (0, 0), Base = image bands = list(layer2.split()) heigh, width = layer2.size for I in range(heigh): for j in range(width): r, g, b, a = layer2.getpixel((i, j)) if r == 0: layer2.putpixel((i, j), (0, 0, 0, 0)) elif r == 128 and g == 128 and b == 128: layer2.putpixel((i, j), (128, 128, 128, 200)) else: layer2.putpixel((i, j), (255, 0, 0, 200)) base.paste(layer2, (0, 0), Layer2) # map operating base. The save (save_name save_path + "/" + + ". PNG ") # image save if __name__ = = "__main__" : image = add_alpha_channel(r"") layer1 = add_alpha_channel(r"") layer2 = add_alpha_channel(r"") image_together(image, layer1, layer2, r"", "")Copy the code

The results

Before running

After the operation

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