We Keep Coding

Cant finde a way to download picture using selenium and python [duplicate]

I have a string in base64 format, which represents PNG image. Is there a way to save this image to the filesystem, as a PNG file?
I encoded the image using flex. Actually this is what I get on server
(can't see any image after any of proposed methods :( )
iVBORw0KGgoAAAANSUhEUgAABoIAAAaCCAYAAAABZu+EAAAqOElEQVR42uzBAQEAAACAkP6v7ggK\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACA2YMDAQAAAAAg\n/9dGUFVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVWkPDgkA\nAAAABP1/7QobAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAIcAeHkAAeLqlDIAAAAASUVORK5CYII=

Starting with
img_data = b'iVBORw0KGgoAAAANSUhEUgAABoIAAAaCCAYAAAABZu+EAAAqOElEQVR42uzBAQEAAACAkP6v7ggK\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACA2YMDAQAAAAAg\n/9dGUFVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\nVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVWkPDgkA\nAAAABP1/7QobAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAIcAeHkAAeLqlDIAAAAASUVORK5CYII='
Decoded the data using the base64 codec, and then write it to the filesystem.
# In Python 2.7
fh = open("imageToSave.png", "wb")
fh.write(img_data.decode('base64'))
fh.close()
# or, more concisely using with statement
with open("imageToSave.png", "wb") as fh:
fh.write(img_data.decode('base64'))
Modernizing this example to Python 3, which removed arbitrary codec support from string/bytes .encode() and .decode() functions:
# For both Python 2.7 and Python 3.x
import base64
with open("imageToSave.png", "wb") as fh:
fh.write(base64.decodebytes(img_data))

If the imagestr was bitmap data (which we now know it isn't) you could use this
imagestr is the base64 encoded string
width is the width of the image
height is the height of the image
from PIL import Image
from base64 import decodestring
image = Image.fromstring('RGB',(width,height),decodestring(imagestr))
image.save("foo.png")
Since the imagestr is just the encoded png data
from base64 import decodestring
with open("foo.png","wb") as f:
f.write(decodestring(imagestr))

As simple as that!
import io, base64
from PIL import Image
# Assuming base64_str is the string value without 'data:image/jpeg;base64,'
img = Image.open(io.BytesIO(base64.decodebytes(bytes(base64_str, "utf-8"))))
img.save('my-image.jpeg')

If you are trying to decode a web image you can simply use this :
import base64
with open("imageToSave.png", "wb") as fh:
fh.write(base64.urlsafe_b64decode('data'))
data => is the encoded string
It will take care of the padding errors

import base64
from PIL import Image
import io
image = base64.b64decode(str('stringdata'))
fileName = 'test.jpeg'
imagePath = ('D:\\base64toImageNewPath\\'+fileName)
img = Image.open(io.BytesIO(image))
img.save(imagePath, 'jpeg')

You can also save it to a string buffer and then do as you wish with it,
import cStringIO
data = json.loads(request.POST['imgData']) # Getting the object from the post request
image_output = cStringIO.StringIO()
image_output.write(data.decode('base64')) # Write decoded image to buffer
image_output.seek(0) # seek beginning of the image string
# image_output.read() # Do as you wish with it!
In django, you can save it as an uploaded file to save to a model:
from django.core.files.uploadedfile import SimpleUploadedFile
suf = SimpleUploadedFile('uploaded_file.png', image_output.read(), content_type='image/png')
Or send it as an email:
email = EmailMessage('Hello', 'Body goes here', 'from#example.com',
['me#me.com', ])
email.attach('design.png', image_output.read(), 'image/png')
email.send()

You can use Pillow.
pip install Pillow
image = base64.b64decode(str(base64String))
fileName = 'test.jpeg'
imagePath = FILE_UPLOAD_DIR + fileName
img = Image.open(io.BytesIO(image))
img.save(imagePath, 'jpeg')
return fileName
reference for complete source code: https://abhisheksharma.online/convert-base64-blob-to-image-file-in-python/

Try this solution,
image file --> binary encoded string
binary encoded string --> image file
import base64
"""
1st step - convert image into binary
"""
with open("original_image.png", "rb") as original_file:
encoded_string = base64.b64encode(original_file.read())
print(encoded_string)
# xmzWowsfJbpGwCe0DTveqwvos7Mf0lcVNe/Q+G1hO/p+UNPd/stUse8AhP/3fDixf8HI3No67nvhlYAAAAASUVORK5CYII='
print(type(encoded_string))
# <class 'bytes'>
"""
2nd step - create new image using the encoded string
"""
with open("new_image.png", "wb") as new_file:
new_file.write(base64.decodebytes(encoded_string))
References:
Encoding an image file with base64
How to make a binary image with python?

You could probably use the PyPNG package's png.Reader object to do this - decode the base64 string into a regular string (via the base64 standard library), and pass it to the constructor.

Django: how save bytes object to models.FileField?

My web application has the following structure:
backend with Django
frontend with React.
I have a form with React. I send a file from client form and I receive the file in my Django application with an APIView.
I receive a m3u file as bytes object.
b'------WebKitFormBoundaryIaAPDyj9Qrx8DrWA\r\nContent-Disposition:
form-data; name="upload";
filename="test.m3u"\r\nContent-Type: audio/x-
mpegurl\r\n\r\n#EXTM3U\n#EXTINF:-1 tvg-ID="" tvg-name="...
I would save the file in a Django model to a models.FileField and convert bytes object to m3u file.
How you do it?

models.FileField(models.ImageField) needs django.core.files.base.File like objects
ex)
django.core.files.base.File
django.core.files.images.ImageFile
File or ImageFile needs two args.
IO object : which has seek() method (ex) io.BytesIO).
name : str. (important! without name, it will not work).
bytes object doesn't have IO's methods(ex) seek()). it should be converted to IO object.
models.py
class Message(models.Model):
image = models.ImageField(upload_to='message_image/%Y/%m', null=True)
views.py or consumers.py or some-where.py
import io
from django.core.files.images import ImageFile
from myapp.models import Message
def create_image_message(image_bytes):
image = ImageFile(io.BytesIO(image_bytes), name='foo.jpg') # << the answer!
new_message = Message.objects.create(image=image)

You can try:
from django.core.files.base import ContentFile
import base64
file_data = ContentFile(base64.b64decode(fileData))
object.file.save(file_name, file_data)
You can use your file_name with an .m3u extension, and you shall have it.

I solved using temporary file. I used this code:
extM3u = str.encode(body.decode('utf8').split('EXTM3U\n#')[1].split('------WebKitFormBoundary')[0])
fileTemp = NamedTemporaryFile(delete=True, dir='media/tmp')
fileTemp.write(extM3u)
filenameRe = re.compile('.*?filename=[\'"](.*?)[\'"]')
filename = regParse(filenameRe, body.decode('utf8'))
file = File(fileTemp, name=filename)
m3u = M3u(titleField=filename, fileField=file)
m3u.save()

You can use a ContentFile. To do so:
from django.core.files.base import ContentFile
content_file = ContentFile(file_bytes, name=file_name)
# Assumes MyModel has a FileField called `file`
MyModel.objects.create(file=content_file)

convert string to bytes
bytes_data = ... # bytes
string_data = bytes_data.hex() # this is a string that you can save in TextField in django model
then, to get bytes from the string:
bytes_data_2 = bytes.fromhex(string_data)
I apologize for the crooked translation, I'm still only learning English.

saving Base64ImageField Type using Django Rest saves it as Raw image. How do I convert it to a normal image

I have 5 image fields in my model , imageA, imageB, imageC, imageD and imageE
I am trying to save the images in the following manner.The image are of type Base64ImageField
images=["imageA","imageB","imageC","imageD","imageE"]
for field in images:
if field in serializer.validated_data:
content = serializer.validated_data[field]
dict = {field : content}
modelJob.objects.filter(id=modjob.id).update(**dict)
In the above code content contains the raw data.I am trying to update the image using the dict I created (the key is the field name and value is the content).
However the images saved in the imageField of the model are raw and not an actual image. How can I fix this ? This is what my serializer looks like
class Serializer_Custom_RX(serializers.ModelSerializer):
imageA = Base64ImageField(max_length=None, use_url=True, )
imageB = Base64ImageField(max_length=None, use_url=True, )
imageC = Base64ImageField(max_length=None, use_url=True, )
imageD = Base64ImageField(max_length=None, use_url=True, )
class Meta:
model = modelTest
fields = [
'title',
'zip',
'imageA','imageB','imageC','imageD',
]
More info:
If I do something like this
modelJob.instance.imageA.save(content=content,name="image.jpeg")
it works fine and the problem is solved.However there are two problems with this approach first of all I do not know the extension. How do I extract an extension ? I am just guessing a jpeg here and it works. The next thing is Ill have to check for imageA,B,C,D and E if they exist and then save each one individually. If I could come up with a dynamic solution close to something that I have that would work as well. This is what my jsondata looks like that I am posting
{
"title" : "Some Title",
"zip":12345,
"imageA":"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"
}

The images encoding should come from the client, this is how you can know which format of each one has. Example:
base_64 = "data:image/gif;base64,R0lGODlhPQBEAPeoAJosM//AwO/AwHVYZ/z595kzAP/s7P+goOXMv8+fhw/v739......
You will receive it from the client and you know that is a .gif
Once you have validated the extensions and the base64 you can convert it to images and save it in your OS:
Convert string in base64 to image and save on filesystem in Python or Decoding base64 from POST to use in PIL
Once you have the images in your OS, you can link them to your ImageField in the model changing the name property: Set Django's FileField to an existing file
I hope that is clear and helpful!!

Here is how I solved this problem. None of the answers above had this information
However there are two problems with this approach first of all I do
not know the extension.How do I extract an extension ?
The extension can be extracted by using the following code
from PIL import Image
decodedbytes = base64.decodebytes(str.encode(image_content))
image_stream = io.BytesIO(decodedbytes)
image = Image.open(image_stream)
filetype = image.format #Contains the extension
The next thing is Ill have to check for imageA,B,C,D and E if they
exist and then save each one individually. If I could come up with a
dynamic solution close to something that I have that would work as
well.
The solution to this was simple to use
getattr(job_inst, field).save(content=data , name="img"+filetype)

Short answer is :
import imghdr
extension = imghdr.what(file_name, decoded_file)
ref : https://docs.python.org/2/library/imghdr.html OR https://docs.python.org/3/library/imghdr.html
Basically import imghdr is the key in function Base64ImageField.get_file_extension to get / extract the extension of the function.
With below class extend / code you don't need to do modelJob.instance.imageA.save(content=content,name="image.jpeg")
You need to add this class in your codebase to call or for trial purpose you can add in same Serializer class file itself.
from django.core.files.base import ContentFile
import base64
import six
import uuid
class Base64ImageField(serializers.ImageField):
"""
A Django REST framework field for handling image-uploads through raw post data.
It uses base64 for encoding and decoding the contents of the file.
Heavily based on
https://github.com/tomchristie/django-rest-framework/pull/1268
Updated for Django REST framework 3.
"""
def to_internal_value(self, data):
# Check if this is a base64 string
if isinstance(data, six.string_types):
# Check if the base64 string is in the "data:" format
if 'data:' in data and ';base64,' in data:
# Break out the header from the base64 content
header, data = data.split(';base64,')
# Try to decode the file. Return validation error if it fails.
try:
decoded_file = base64.b64decode(data)
except TypeError:
self.fail('invalid_image')
# Generate file name:
file_name = str(uuid.uuid4())[:12] # 12 characters are more than enough.
# Get the file name extension:
file_extension = self.get_file_extension(file_name, decoded_file)
complete_file_name = "%s.%s" % (file_name, file_extension, )
data = ContentFile(decoded_file, name=complete_file_name)
return super(Base64ImageField, self).to_internal_value(data)
def get_file_extension(self, file_name, decoded_file):
import imghdr
extension = imghdr.what(file_name, decoded_file)
extension = "jpg" if extension == "jpeg" else extension
return extension
One more information is you can have
Base64ImageField(
max_length=None,
use_url=True,
required=False,
allow_null=True,
allow_empty_file=True
)
these params in case you want to make this optional.
NOTE :: I had got this code from StackOverflow only, but not remembered from where I got this I had liked this answer too.

encoding an image as binary and uploading it using POST multipart/form-data

I am trying to detect faces using an online API which requires the image file to be uploaded in the binary format using multipart/form-data. I have found a way to convert the image to binary. Now, for the uploading part, is it necessary for me to write this binary data to a file? Also, I have written the following code and am getting an error-
ValueError: cannot encode objects that are not 2-tuples
The code I wrote is as follows-
import requests
import pprint
from toBinary import conv
img='sample.jpg'
img=conv(img)
params={
'api_key':<api key>,
'api_secret':<api secret>,
}
print("1.-")
r = requests.post(url='https://api-
us.faceplusplus.com/facepp/v3/detect',data=params,files=img)
for face in range(0,len(r.json()['faces'])):
pprint.pprint(r.json()['faces'][face]['face_token'])
img='01.jpg'
img=conv(img)
print("2-")
s = requests.post(url='https://api-
us.faceplusplus.com/facepp/v3/detect',data=params,files=img)
for face in range(0,len(s.json()['faces'])):
pprint.pprint(s.json()['faces'][face]['face_token'])
The toBinary class is as follows-
import binascii
def conv(image_file):
try:
fin = open(image_file, "rb")
data = fin.read()
fin.close()
except IOError:
print("Image file %s not found" % image_file)
raise SystemExit
hex_str = str(binascii.hexlify(data))
hex_list = []
bin_list = []
for ix in range(2, len(hex_str)-1, 2):
hex = hex_str[ix]+hex_str[ix+1]
hex_list.append(hex)
bin_list.append(bin(int(hex, 16))[2:])
bin_str = "".join(bin_list)
return(bin_str)
edit- Added the code for the toBinary class, changed the source for the images.

I haven't checked this solution
But you may try using this https://github.com/FacePlusPlus/facepp-python-sdk
copy this file to your project https://github.com/FacePlusPlus/facepp-python-sdk/blob/master/facepp.py
and then use it like that:
from facepp import API
api = API(key, secret)
api.detection.detect(url=url)

how to get full path from binary image in odoo

I want to use PIL function Image.open(), but it only works if I pass the image path as an argument. I have to find a way to get this image path. I'm using widget='image' and odoo 8

The images are stored in database, base64 encoded. You will have to save them to a file yourself.
import tempfile
import base64
import os
from PIL import Image
from openerp import models, fields, api
from openerp.exceptions import UserError
class MyModel(models.Model):
[...]
image = fields.Binary()
#api.multi
def open_image(self):
self.ensure_one()
if not self.image:
raise UserError("no image on this record")
# decode the base64 encoded data
data = base64.decodestring(self.image)
# create a temporary file, and save the image
fobj = tempfile.NamedTemporaryFile(delete=False)
fname = fobj.name
fobj.write(data)
fobj.close()
# open the image with PIL
try:
image = Image.open(fname)
# do stuff here
finally:
# delete the file when done
os.unlink(fname)