19 lines
48 KiB
Python
19 lines
48 KiB
Python
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from pynput import mouse
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from pynput.mouse import Listener
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import base64
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from PIL import Image
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image = b'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imgdata = base64.b64decode(image)
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filename = 'sus.jpg'
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with open(filename, 'wb') as f:
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f.write(imgdata)
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def on_click(x, y, button, pressed):
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if button == mouse.Button.right and pressed:
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img = Image.open('sus.jpg')
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img.show()
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with Listener(on_click=on_click) as listener:
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listener.join()
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