Last updated: 07/10/2019
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- Do right now:
- Download the documentation and get used to doing questions with it
- Do in the meantime:
| E12 = (1.0, 1.2, 1.5, 1.8, 2.2, 2.7, 3.3, 3.9, 4.7, 5.6, 6.8, 8.2) | |
| ROS = tuple((x / y, (x, y)) for x in E12 for y in E12) | |
| def estimator(inv, ouv): | |
| ratio = (inv - ouv) / ouv | |
| for r, v in ROS: | |
| abserr = abs(r - ratio) | |
| relerr = abserr / ratio | |
| yield (relerr, abserr, v) |
| #!/usr/bin/env python2 | |
| import numpy as np | |
| import cv2 as cv | |
| def FCD( src, mask ): | |
| A_THRESH = [ 2, 1 ] | |
| sobel_x = cv.Sobel( src, cv.CV_32F, 1, 0, ksize = 5 ) |
| fulladder = """aS{0}:=ODD(A{0},B{0},C{1}); | |
| C{0}:=OR(AND(A{0},B{0}),AND(C{1},ODD(A{0},B{0})));""" | |
| def koggestone(i, l, maxi): | |
| g = "G{2}{1}:=OR(G{3}{1},AND(P{3}{1},{4}));" | |
| p = "\nP{2}{1}:=AND(P{3}{1},P{3}{0});" | |
| i -= 1 | |
| s = 2 ** l | |
| if i + s >= maxi: | |
| return "" |
Last updated: 07/10/2019
Your feedback will be much appreciated, so either leave a comment below or PM @randName on Telegram.
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