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filters.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 9 16:47:03 2017
@author: Mark Dammer
You can add your on convolution kernels to the "self.kernels" list.
Basic structure: ['Name', default_filter_strength, [kernel]]
"""
import numpy as np
class Kernels(object):
__slots__ = ['kernels', 'name', 'kernel', 'strength']
def __init__(self):
self.kernels = [
['entropy1', 1, [[0, 0, 0], [0, 1, -1], [0, 0, 0]]],
['entropy2', 1, [[0, 0, 0], [-0.5, 1, -0.5], [0, 0, 0]]],
['entropy3', 1, [[0, -0.5, 0], [0, 1, 0], [0, -0.5, 0]]],
['entropy4', 1, [[0, -0.25, 0], [-0.25, 1, -0.25], [0, -0.25, 0]]],
['sharpen1', 1, [[-1, -1, -1], [-1, 9, -1], [-1, -1, -1]]],
['sharpen2', 1, [[1, 1, 1], [1, -7, 1], [1, 1, 1]]],
['sharpen3', 0.125, [[-1, -1, -1, -1, -1],
[-1, 2, 2, 2, -1],
[-1, 2, 8, 2, -1],
[-1, 2, 2, 2, -1],
[-1, -1, -1, -1, -1]]],
['blur7', 1, [[0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02],
[0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02],
[0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02],
[0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02],
[0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02],
[0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02],
[0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02]]],
['blur15', 1, [
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044],
[0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044, 0.0044,
0.0044, 0.0044]]],
['blur29', 1, [
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ],
[0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012, 0.0012,
0.0012, 0.0012, 0.0012, ]
]]
]
def get_kernel(self, index):
self.name = self.kernels[index - 1][0]
self.kernel = self.kernels[index - 1][2]
self.strength = self.kernels[index - 1][1]
return self.name, np.array(self.kernel), self.strength
def get_numkernels(self):
return len(self.kernels) + 1