__ __ __ __ _____ _ _ _____ _ _ _ | \/ | \ \ / / | __ \ (_) | | / ____| | | | | | \ / |_ __\ V / | |__) | __ ___ ____ _| |_ ___ | (___ | |__ ___| | | | |\/| | '__|> < | ___/ '__| \ \ / / _` | __/ _ \ \___ \| '_ \ / _ \ | | | | | | |_ / . \ | | | | | |\ V / (_| | || __/ ____) | | | | __/ | | |_| |_|_(_)_/ \_\ |_| |_| |_| \_/ \__,_|\__\___| |_____/|_| |_|\___V 2.1 if you need WebShell for Seo everyday contact me on Telegram Telegram Address : @jackleetFor_More_Tools:
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Calculate statistics for the given image. If a mask is included,
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statistics. You can also pass in a previously calculated histogram.
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.. note::
For a PIL image, calculations rely on the
:py:meth:`~PIL.Image.Image.histogram` method. The pixel counts are
grouped into 256 bins, even if the image has more than 8 bits per
channel. So ``I`` and ``F`` mode images have a maximum ``mean``,
``median`` and ``rms`` of 255, and cannot have an ``extrema`` maximum
of more than 255.
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Min/max values for each band in the image.
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images with 8 bits per channel, but fails for other modes such as
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