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README.md
Seek_2.0.matlab_export.py
de_gradient.m

README.md

This script documents the process used to correct the gradient error in the Seek Thermal cameras.

This is based on the technique used by Seek but is a non-faithful reproduction to document the method. It is hoped that it will provide a launching point for alternative clients to work around the hardware error.

The script is tested with GNU Octave 3.8.2, it should also work with Matlab.

Useful invocations:

% Load the data files
load('data/floor.mat');
floor = flipud(fliplr(medfilt2(raw-cal)))(:,3:206+2)
load('data/face.mat');
face = flipud(fliplr(medfilt2(raw-cal)))(:,3:206+2)

% Reset the gradient filter
clear de_gradient

% Prime the low-pass-filter
for i=1:20 de_gradient(floor); end

% Generate the corrected face
corrected = de_gradient(face);