benstats 0.0.3

A Python package for calculating Benford's Law statistics on images

benstats

A Python package for calculating Benford's Law statistics on images

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Table of Contents

• Installation
• License

Installation

pip install benstats

Usage

Importing the package

import benstats

Read an image

image = benstats.read("path/to", "image.png")

Supported image formats: bmp, dib, jpeg, jpg, jpe, jp2, png, webp, pbm, pgm, ppm, pxm, pnm, sr, ras, tiff, tif, exr, hdr, pic

Calculate Benford's Law statistics

benstats.benstats(image, channels=['rgb', 'gray'], scale=1, min=0, max=255)

• channels: list of channels to calculate statistics for. Possible values: rgb, hsv, gray, lab, luv, xyz, ycbcr
• scale: scale factor for the image. If scale is less than 1, the image will be downsampled. If scale is greater than 1, the image will be upsampled.
• min: new range min to map pixel values into. Default: 0
• max: new range max to map pixel values into. Default: 255

Returns a dictionary of channelwise statistics.

Plotting Benford's Law statistics

benstats.benplot(image, channels=['rgb'], scale=1, min=0, max=255)

Same parameters as above.

License

benstats is distributed under the terms of the MIT license.

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Built by @gv-sh @bhaumikdebanshu