Shan Palaniappan shannietron

## 2 class Classifier_1 variable.ipynb

      
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                shurru
                / 2 class Classifier_1 variable.ipynb
            
            
              Created
              February 2, 2021 19:53
            
              
                Simple classifier using just 1 feature
              
          
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## stringart.py
import collections
import math
import os
import cv2
import numpy as np
import time

MAX_LINES = 4000
N_PINS = 36*8
MIN_LOOP = 20               # To avoid getting stuck in a loop

## peakdet.m
function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
%        [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
%        maxima and minima ("peaks") in the vector V.
%        MAXTAB and MINTAB consists of two columns. Column 1
%        contains indices in V, and column 2 the found values.
%
%        With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
%        in MAXTAB and MINTAB are replaced with the corresponding
%        X-values.
	import collections
	import math
	import os
	import cv2
	import numpy as np
	import time

	MAX_LINES = 4000
	N_PINS = 36*8
	MIN_LOOP = 20 # To avoid getting stuck in a loop
	function [maxtab, mintab]=peakdet(v, delta, x)
	%PEAKDET Detect peaks in a vector
	% [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
	% maxima and minima ("peaks") in the vector V.
	% MAXTAB and MINTAB consists of two columns. Column 1
	% contains indices in V, and column 2 the found values.
	%
	% With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
	% in MAXTAB and MINTAB are replaced with the corresponding
	% X-values.