yong old code in separate file; writing bitmap program to extend towards the framework of kinecam
onebigear
2 years ago
parent
286c39168e
commit
65a0e12dc1
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import numpy as np
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import seaborn as sns; sns.set()
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# todo
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# https://auth0.com/blog/image-processing-in-python-with-pillow/
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# https://stackoverflow.com/questions/46385999/transform-an-image-to-a-bitmap
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# text to image
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# image to bitmap
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# bitmap to random
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# export bitmaps to a gallery
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# bitmap to hardware display (no time)
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# clear randomization; reassign var yong_grid hold values of original text input matrix
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# add annotation to specify level of randomization
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# run 100 times and save pictures
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# a representation of "永" in matrix notation
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yong_grid = [[0,0,0,0,1,1,0,0,0,0],
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[0,0,1,1,1,1,0,0,1,0],
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[0,0,0,0,0,1,0,1,0,0],
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[0,0,0,0,0,1,1,0,0,0],
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[0,1,1,1,1,1,1,0,0,0],
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[0,0,0,1,0,1,1,0,0,0],
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[0,0,1,0,0,1,0,1,0,0],
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[0,1,0,0,0,1,0,0,1,0],
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[0,0,0,1,0,1,0,0,0,0],
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[0,0,0,0,1,1,0,0,0,0]]
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print(np.matrix(yong_grid))
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ax = sns.heatmap(yong_grid, annot=True, fmt="d")
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plt.show()
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from matplotlib import pyplot as plt
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im = plt.imshow(yong_grid, cmap="copper_r")
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plt.show()
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# access item in matrix
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# notation is [column][row]
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print(yong_grid[0][4])
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print(yong_grid[0][5])
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twenty_p_one = [1,1,0,0,0,0,0,0,0,0]
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twenty_p_zero = [0,0,1,1,1,1,1,1,1,1]
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import random
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import math
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z_count = 0
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one_count = 0
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import math
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for i in range(10):
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for j in range(10):
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if yong_grid[i][j] == 0:
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# reassign
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yong_grid[i][j] = random.choice(twenty_p_one)
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else:
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yong_grid[i][j] = random.choice(twenty_p_zero)
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ax = sns.heatmap(yong_grid, annot=True, fmt="d")
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# lists for 5%, 10% and 15% randomization
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five_p_one = [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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five_p_zero = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
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ten_p_one = [1,0,0,0,0,0,0,0,0,0]
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ten_p_zero = [0,1,1,1,1,1,1,1,1,1]
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fifteen_p_one = [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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fifteen_p_zero = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
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# random image generator
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# generate heatmap and save in folder
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def randImg(list_zero, list_one):
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z_count = 0
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one_count = 0
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for i in range(10):
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for j in range(10):
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if yong_grid[i][j] == 0:
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yong_grid[i][j] = random.choice(list_zero)
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else:
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yong_grid[i][j] = random.choice(list_one)
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ax = sns.heatmap(yong_grid, annot=True, fmt="d")
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# clear randomization; reassign var yong_grid hold values of original text input matrix
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# call function with 5%
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# clear randomization; reassign var yong_grid hold values of original text input matrix
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yong_grid = [[0,0,0,0,1,1,0,0,0,0],
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[0,0,1,1,1,1,0,0,1,0],
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[0,0,0,0,0,1,0,1,0,0],
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[0,0,0,0,0,1,1,0,0,0],
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[0,1,1,1,1,1,1,0,0,0],
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[0,0,0,1,0,1,1,0,0,0],
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[0,0,1,0,0,1,0,1,0,0],
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[0,1,0,0,0,1,0,0,1,0],
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[0,0,0,1,0,1,0,0,0,0],
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[0,0,0,0,1,1,0,0,0,0]]
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randImg(five_p_zero, five_p_one)
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# call function with 10%
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yong_grid = [[0,0,0,0,1,1,0,0,0,0],
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[0,0,1,1,1,1,0,0,1,0],
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[0,0,0,0,0,1,0,1,0,0],
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[0,0,0,0,0,1,1,0,0,0],
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[0,1,1,1,1,1,1,0,0,0],
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[0,0,0,1,0,1,1,0,0,0],
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[0,0,1,0,0,1,0,1,0,0],
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[0,1,0,0,0,1,0,0,1,0],
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[0,0,0,1,0,1,0,0,0,0],
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[0,0,0,0,1,1,0,0,0,0]]
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randImg(ten_p_zero, ten_p_one)
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# fifteen percent
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yong_grid = [[0,0,0,0,1,1,0,0,0,0],
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[0,0,1,1,1,1,0,0,1,0],
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[0,0,0,0,0,1,0,1,0,0],
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[0,0,0,0,0,1,1,0,0,0],
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[0,1,1,1,1,1,1,0,0,0],
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[0,0,0,1,0,1,1,0,0,0],
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[0,0,1,0,0,1,0,1,0,0],
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[0,1,0,0,0,1,0,0,1,0],
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[0,0,0,1,0,1,0,0,0,0],
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[0,0,0,0,1,1,0,0,0,0]]
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randImg(fifteen_p_zero, fifteen_p_one)
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