novo
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from PIL import Image
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def remove_background(input_path, output_path):
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"""Remove background and make it transparent"""
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img = Image.open(input_path).convert("RGBA")
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datas = img.getdata()
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# Get background color from corner pixel
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bg_color = datas[0][:3] # RGB from top-left
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# Create new data with transparent background
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new_data = []
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tolerance = 50 # Color similarity tolerance
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for item in datas:
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# Check if pixel is similar to background
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r_diff = abs(item[0] - bg_color[0])
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g_diff = abs(item[1] - bg_color[1])
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b_diff = abs(item[2] - bg_color[2])
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if r_diff < tolerance and g_diff < tolerance and b_diff < tolerance:
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# Make background transparent
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new_data.append((item[0], item[1], item[2], 0))
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else:
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# Keep original pixel
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new_data.append(item)
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img.putdata(new_data)
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img.save(output_path)
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print(f"✅ Transparent: {output_path}")
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# Process tiles
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remove_background('c:/novafarma/assets/grass_tile.png', 'c:/novafarma/assets/grass_tile.png')
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remove_background('c:/novafarma/assets/water_tile.png', 'c:/novafarma/assets/water_tile.png')
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print("🎉 Tile backgrounds removed!")
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