import cv2
import numpy as np

#cap = cv2.VideoCapture('C:/Users/Kate/PycharmProjects/pythonProject/NVR_ch1_main_20210124075900_20210124080000.asf')
image = cv2.imread("2.jpg")
#image2 = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

low_red = np.array([161, 155, 84])
high_red = np.array([179, 255, 255])

image2 = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

filtermask = cv2.inRange(image, low_red, high_red)
find_lights = cv2.bitwise_and(image, image, mask=filtermask)

cv2.imshow("Red", find_lights)
cv2.imshow("filters", filtermask)

import numpy as np


import cv2

image1 = cv2.imread("2.jpg")
image2 = cv2.imread("3.jpg")

font = cv2.FONT_HERSHEY_COMPLEX
while True:
    image = image1, image2

    hav = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)


blue1 = np.array([141,155,84])
blue2 = np.array([179,255,255])

mask = (hav, blue1, blue2)
bluecnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]

if len(bluecnts)>0:
    blue_area = max(bluecnts, key=cv2.contourArea)
    (xg,yg,wg,hg)=cv2.boundingRect(blue_area)
    cv2.rectangle(image, (xg,yg), (xg+wg,yg+hg), (0,255,2),2)
    cv2.putText(image, "LIGHTS",(xg,yg-15),font,1, (220,0,0), 2, cv2.LINE_AA)

cv2.imshow('image', image)
cv2.imshow('mask', mask)

#k=cv2.waitKey(5)

#if k == 1:
#    break

import numpy as np
import argparse
import cv2
import imutils
from imutils import contours
import skimage
from skimage import measure
import argparse

image = cv2.imread("2.jpg")

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray, (11, 11), 0)
thresh = cv2.threshold(blurred, 200, 255, cv2.THRESH_BINARY)[1]
thresh = cv2.erode(thresh, None, iterations=2)
thresh = cv2.dilate(thresh, None, iterations=4)

labels = measure.label(thresh, connectivity=1, background=0)
mask = np.zeros(thresh.shape, dtype="uint8")

for label in np.unique(labels):

	if label == 0:
		continue

	labelMask = np.zeros(thresh.shape, dtype="uint8")
	labelMask[labels == label] = 255
	numPixels = cv2.countNonZero(labelMask)

	if numPixels > 300:
		mask = cv2.add(mask, labelMask)

cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL,
	cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)
cnts = contours.sort_contours(cnts)[0]

for (i, c) in enumerate(cnts):

	(x, y, w, h) = cv2.boundingRect(c)
	((cX, cY), radius) = cv2.minEnclosingCircle(c)
	cv2.circle(image, (int(cX), int(cY)), int(radius),
		(0, 0, 255), 3)
	cv2.putText(image, "#{}".format(i + 1), (x, y - 15),
		cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)

cv2.imshow("Image", image)
cv2.waitKey(0)

import numpy as np
import argparse
import cv2
import imutils
from imutils import contours
import skimage
from skimage import measure
import argparse

ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", help = "path to the image file")
ap.add_argument("-r", "--radius", type = int,
	help = "radius of Gaussian blur; must be odd")
args = vars(ap.parse_args())
# load the image and convert it to grayscale
#image = cv2.imread(args["image"])
image = cv2.imread("2.jpg")

#image = cv2.imread(args["image"])
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray, (11, 11), 0)
thresh = cv2.threshold(blurred, 200, 255, cv2.THRESH_BINARY)[1]
thresh = cv2.erode(thresh, None, iterations=2)
thresh = cv2.dilate(thresh, None, iterations=4)
#print(image)

labels = measure.label(thresh, neighbors=8, background=0)
mask = np.zeros(thresh.shape, dtype="uint8")
# loop over the unique components
for label in np.unique(labels):
	#if this is the background label, ignore it
	if label == 0:
		continue
	# otherwise, construct the label mask and count the
	# number of pixels 
	labelMask = np.zeros(thresh.shape, dtype="uint8")
	labelMask[labels == label] = 255
	numPixels = cv2.countNonZero(labelMask)
	# if the number of pixels in the component is sufficiently
	# large, then add it to our mask of "large blobs"
	if numPixels > 300:
		mask = cv2.add(mask, labelMask)
		cv2.imshow("Image", image)
		cv2.waitKey(0)

        Priv = 2020
        Now = 2021
        Next = 2022
     
        Rok = (
        (None, "Nie wybran"),
        (Priv, '2020'),
        (Now, '2021'),
        (Next, '2022')
        )
     
        Rok = models.IntegerField(choices=Rok, default=Now)
     
        def checkRok(self):
     
            strrok = str(self.Rok)
     
            return strrok

     
     
     
        Tydzien = models.DateField(datetime.date(year=checkRok, month=11, week=1))

const storeLocation = [22.568, 51.246];

function getLocation() {
  if (navigator.geolocation) {
    navigator.geolocation.watchPosition(showPosition);
  } else {
    x.innerHTML = "Geolocation is not supported by this browser.";
  }
}
function showPosition(position) {
  const storeLocation = [position.coords.latitude, position.coords.longitude];

const storeLocation = [22.568, 51.246];

function getLocation() {
  if (navigator.geolocation) {
    navigator.geolocation.watchPosition(showPosition);
  } else {
    x.innerHTML = "Geolocation is not supported by this browser.";
  }
}
function showPosition(position) {
  const storeLocation = [position.coords.latitude, position.coords.longitude];

}

 def makelist(self):
        for n in range(0, len(self.max_list_from_all_plates)-1): 

            self.lenx = len(self.max_list_from_all_plates[n])
            self.leny = len(self.max_list_from_all_plates[n+1])
            
            if self.leny == self.lenx:
                
                print(self.leny, self.lenx)
                print(self.max_list_from_all_plates[n], '         ', self.max_list_from_all_plates[n+1])

else: # (What to do if lists not equal?? do not take the current/or next list to compare with the next  list? I just want to get only equal length lists. But how? 0_o)


output
7 7

7 7

7 7

7 7

7 7

7 7

CATEGORIES = ["0","1","2","3","4","5","6","7","8","9","A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","R","S","T","U","V","W","X","Y","Z"]

                textPlate.append(znakMax)
                sumplate += valMax

                print(textPlate)
output:
['J', 'J'] 
['J', 'J', '7'] 
['J', 'J', '7', '8'] 
['J', 'J', '7', '8', '8'] 
['J', 'J', '7', '8', '8', 'R'] 
['J', 'J', '7', '8', '8', 'R', 'K'] 

                print(CATEGORIES)
                for t in CATEGORIES:
                    for s in textPlate:
                        if t == s:
                            print(CATEGORIES.index(t))

class PlateString:

    def __init__(self, threshold=0.05):
        self.threshold = threshold
        self.max_list_from_all_plates = []
        for single_lp in seq:
            max_list = []
            plateresults = []
            for sign in single_lp:
                high_indexes = []
                for prob_id in range(0,len(sign)):
                    if self.threshold<sign[prob_id]:
                        high_indexes.append([sign[prob_id], prob_id, CATEGORIES[prob_id]])
                max_list.append(high_indexes)
            self.max_list_from_all_plates.append(max_list)
            self.listaMain = []

    def makelist(self):
        list1 = []
        list2 = []
        for plate in self.max_list_from_all_plates:
            #maxlen = 0
            #if len(plate) > maxlen:
            #    maxlen = len(plate)
            #if len(plate) == maxlen:
            #    pass
            textPlate : str= ""
            sumplate = 0 
            for probabilities in plate:
                znakMax : str = ""
                probabilityMax : float = 0
                for probability in probabilities:
                    if(probabilityMax<probability[0]):
                        probabilityMax = probability[0]
                        znakMax = probability[2]
                        valMax = probability[0]
                textPlate += znakMax
                sumplate += valMax
            list1.append(textPlate)
            list2.append(sumplate)

        for i in range(len(list1)):
            info = [list1[i], list2[i]]
            self.listaMain.append(info)
        print(self.listaMain)
        self.findtotal()


    def findtotal(self):
        for i in self.listaMain:
            print(i)
            itemmax = (max(i[-1] for i in self.listaMain))
            return (itemmax)

    

if __name__ == '__main__':
    PlateString(threshold=0.05).makelist()
    #PlateString(threshold=0.05).findtotal()

[['JJ788RK', 2.709], ['JJ788RK', 2.601], ['JJ788RK', 2.155], ['JJ788RK', 2.4050000000000002], ['J7J88RK', 2.5060000000000002], ['JJ788RK', 2.5589999999999997], ['JJ788RK', 2.098]]
['JJ788RK', 2.709]

CATEGORIES = ["0","1","2","3","4","5","6","7","8","9","A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","R","S","T","U","V","W","X","Y","Z"]
KR8877J = [[0.002,0.006,0.004,0.045,0.002,0.017,0.006,0.077,0.001,0.035,0.042,0.005,0.004,0.039,0.001,0.002,0.001,0.008,0.058,0.352,0.002,0.007,0.017,0.004,0.007,0.007,0.007,0.004,0.005,0.009,0.089,0.036,0.053,0.041,0.004], [0.003,0.007,0.005,0.075,0.001,0.020,0.006,0.044,0.002,0.035,0.026,0.004,0.004,0.033,0.001,0.001,0.003,0.008,0.049,0.360,0.002,0.007,0.021,0.005,0.009,0.003,0.008,0.007,0.003,0.014,0.092,0.048,0.058,0.031,0.004], [0.002,0.000,0.025,0.012,0.006,0.002,0.001,0.627,0.006,0.021,0.022,0.008,0.004,0.006,0.004,0.033,0.000,0.006,0.011,0.009,0.002,0.002,0.009,0.000,0.002,0.040,0.007,0.005,0.015,0.000,0.035,0.001,0.008,0.015,0.053], [0.056,0.008,0.023,0.038,0.015,0.007,0.050,0.006,0.412,0.004,0.005,0.027,0.011,0.005,0.021,0.007,0.073,0.024,0.012,0.005,0.013,0.005,0.027,0.003,0.015,0.001,0.005,0.074,0.002,0.022,0.005,0.011,0.002,0.001,0.006], [0.025,0.011,0.025,0.034,0.018,0.027,0.090,0.008,0.258,0.006,0.007,0.026,0.016,0.008,0.026,0.011,0.079,0.030,0.026,0.008,0.018,0.011,0.033,0.003,0.016,0.001,0.003,0.106,0.004,0.021,0.012,0.013,0.003,0.005,0.014], [0.048,0.027,0.019,0.002,0.028,0.002,0.008,0.017,0.041,0.014,0.012,0.022,0.031,0.005,0.045,0.100,0.004,0.031,0.033,0.002,0.029,0.006,0.021,0.032,0.008,0.038,0.317,0.007,0.017,0.004,0.018,0.005,0.003,0.004,0.002], [0.013,0.002,0.002,0.000,0.164,0.001,0.060,0.004,0.006,0.002,0.018,0.003,0.035,0.002,0.008,0.008,0.001,0.008,0.028,0.005,0.383,0.013,0.063,0.010,0.004,0.002,0.014,0.016,0.002,0.005,0.048,0.011,0.028,0.017,0.012]]
KR8877J_1 = [[0.004,0.007,0.005,0.042,0.002,0.014,0.011,0.054,0.002,0.032,0.051,0.005,0.005,0.044,0.001,0.002,0.002,0.008,0.056,0.389,0.003,0.008,0.023,0.005,0.009,0.005,0.009,0.006,0.004,0.010,0.070,0.029,0.049,0.031,0.005], [0.005,0.005,0.005,0.034,0.002,0.006,0.005,0.083,0.002,0.062,0.053,0.004,0.006,0.039,0.001,0.002,0.001,0.008,0.055,0.348,0.002,0.005,0.020,0.005,0.011,0.011,0.018,0.004,0.005,0.008,0.086,0.018,0.055,0.020,0.004], [0.001,0.001,0.024,0.009,0.013,0.003,0.002,0.499,0.006,0.011,0.022,0.011,0.007,0.006,0.006,0.048,0.000,0.008,0.013,0.009,0.004,0.002,0.007,0.000,0.002,0.053,0.009,0.007,0.030,0.000,0.030,0.001,0.009,0.021,0.123], [0.039,0.008,0.029,0.041,0.013,0.008,0.054,0.005,0.369,0.004,0.005,0.023,0.011,0.005,0.020,0.005,0.100,0.022,0.012,0.005,0.012,0.007,0.028,0.002,0.015,0.000,0.003,0.102,0.001,0.021,0.006,0.012,0.002,0.002,0.007], [0.031,0.007,0.018,0.032,0.015,0.017,0.075,0.008,0.365,0.005,0.005,0.028,0.015,0.005,0.022,0.011,0.075,0.027,0.014,0.005,0.020,0.006,0.025,0.002,0.014,0.001,0.004,0.099,0.003,0.016,0.008,0.009,0.002,0.002,0.010], [0.046,0.022,0.022,0.002,0.031,0.003,0.008,0.022,0.047,0.011,0.010,0.039,0.035,0.005,0.048,0.110,0.002,0.028,0.031,0.003,0.029,0.006,0.016,0.022,0.007,0.059,0.289,0.005,0.016,0.003,0.013,0.004,0.002,0.004,0.003], [0.019,0.004,0.002,0.000,0.134,0.004,0.088,0.006,0.004,0.003,0.016,0.007,0.037,0.004,0.016,0.014,0.002,0.014,0.026,0.005,0.342,0.019,0.049,0.024,0.004,0.003,0.021,0.009,0.005,0.009,0.049,0.012,0.017,0.026,0.006]]
KR8877J_2 = [[0.002,0.005,0.005,0.046,0.002,0.014,0.008,0.073,0.002,0.023,0.042,0.004,0.007,0.027,0.001,0.003,0.001,0.006,0.047,0.384,0.005,0.006,0.015,0.003,0.006,0.004,0.011,0.006,0.006,0.005,0.088,0.027,0.066,0.040,0.010], [0.002,0.005,0.005,0.039,0.002,0.009,0.005,0.089,0.001,0.036,0.043,0.004,0.006,0.026,0.001,0.002,0.001,0.006,0.051,0.387,0.003,0.005,0.014,0.003,0.007,0.007,0.014,0.004,0.007,0.005,0.090,0.022,0.064,0.030,0.006], [0.002,0.001,0.014,0.011,0.020,0.005,0.004,0.282,0.005,0.012,0.022,0.011,0.009,0.010,0.008,0.041,0.000,0.017,0.030,0.019,0.009,0.003,0.009,0.000,0.004,0.053,0.010,0.016,0.049,0.000,0.043,0.002,0.017,0.037,0.224], [0.028,0.015,0.029,0.039,0.023,0.020,0.097,0.008,0.239,0.004,0.009,0.021,0.019,0.008,0.017,0.008,0.082,0.023,0.025,0.012,0.020,0.010,0.037,0.003,0.016,0.001,0.003,0.110,0.003,0.019,0.012,0.014,0.004,0.005,0.015], [0.037,0.013,0.035,0.053,0.025,0.022,0.057,0.017,0.250,0.005,0.009,0.037,0.025,0.008,0.029,0.013,0.057,0.029,0.029,0.009,0.015,0.009,0.027,0.002,0.020,0.002,0.006,0.092,0.006,0.012,0.011,0.011,0.003,0.004,0.021], [0.036,0.022,0.024,0.003,0.022,0.004,0.011,0.019,0.069,0.014,0.011,0.035,0.045,0.006,0.057,0.096,0.004,0.037,0.030,0.004,0.039,0.007,0.021,0.018,0.010,0.031,0.256,0.013,0.018,0.003,0.018,0.005,0.004,0.006,0.004], [0.015,0.003,0.002,0.000,0.174,0.004,0.085,0.008,0.005,0.002,0.015,0.008,0.028,0.003,0.013,0.016,0.001,0.015,0.029,0.004,0.357,0.013,0.043,0.017,0.003,0.003,0.017,0.010,0.004,0.007,0.037,0.013,0.015,0.020,0.010]]
KR8877J_3 = [[0.005,0.006,0.006,0.055,0.002,0.017,0.009,0.076,0.003,0.035,0.032,0.007,0.005,0.050,0.001,0.002,0.002,0.011,0.050,0.391,0.002,0.005,0.018,0.003,0.012,0.009,0.009,0.005,0.005,0.012,0.068,0.032,0.032,0.017,0.006], [0.009,0.005,0.007,0.064,0.002,0.022,0.009,0.040,0.003,0.030,0.026,0.010,0.006,0.069,0.001,0.001,0.004,0.011,0.040,0.379,0.002,0.009,0.021,0.005,0.017,0.007,0.009,0.005,0.003,0.034,0.063,0.035,0.029,0.017,0.006], [0.001,0.001,0.014,0.011,0.011,0.004,0.003,0.458,0.004,0.012,0.023,0.010,0.007,0.009,0.006,0.039,0.000,0.012,0.016,0.014,0.005,0.003,0.007,0.000,0.002,0.052,0.008,0.009,0.039,0.000,0.036,0.001,0.013,0.032,0.139], [0.042,0.012,0.023,0.029,0.043,0.015,0.111,0.010,0.235,0.004,0.009,0.036,0.023,0.010,0.018,0.010,0.039,0.029,0.024,0.012,0.025,0.009,0.041,0.003,0.019,0.002,0.005,0.084,0.004,0.018,0.013,0.012,0.004,0.005,0.023], [0.030,0.008,0.017,0.033,0.011,0.020,0.103,0.009,0.289,0.004,0.006,0.030,0.022,0.007,0.021,0.011,0.108,0.031,0.013,0.008,0.020,0.006,0.023,0.002,0.018,0.001,0.004,0.102,0.005,0.012,0.007,0.007,0.002,0.003,0.009], [0.034,0.024,0.018,0.003,0.025,0.005,0.008,0.025,0.053,0.010,0.008,0.045,0.036,0.006,0.050,0.119,0.002,0.035,0.028,0.003,0.029,0.005,0.014,0.017,0.007,0.060,0.275,0.006,0.019,0.002,0.013,0.004,0.003,0.006,0.005], [0.016,0.004,0.002,0.000,0.130,0.003,0.080,0.005,0.004,0.003,0.017,0.005,0.038,0.002,0.015,0.014,0.002,0.011,0.027,0.004,0.378,0.016,0.051,0.019,0.004,0.002,0.020,0.012,0.004,0.006,0.040,0.013,0.023,0.020,0.008]] 
KR8877J_4 = [[0.006,0.004,0.007,0.052,0.002,0.012,0.005,0.066,0.002,0.043,0.036,0.007,0.007,0.051,0.001,0.001,0.002,0.008,0.037,0.401,0.002,0.008,0.017,0.004,0.013,0.010,0.014,0.004,0.004,0.016,0.077,0.021,0.038,0.018,0.006], [0.001,0.001,0.012,0.008,0.013,0.004,0.002,0.462,0.004,0.011,0.022,0.008,0.006,0.006,0.006,0.052,0.000,0.012,0.018,0.012,0.005,0.002,0.007,0.000,0.002,0.046,0.009,0.009,0.040,0.000,0.039,0.002,0.012,0.031,0.136], [0.004,0.003,0.007,0.042,0.001,0.008,0.005,0.060,0.002,0.062,0.050,0.005,0.004,0.053,0.000,0.001,0.002,0.006,0.033,0.422,0.001,0.008,0.017,0.004,0.011,0.007,0.010,0.003,0.002,0.013,0.065,0.024,0.045,0.017,0.003], [0.029,0.015,0.032,0.058,0.018,0.013,0.067,0.012,0.287,0.006,0.010,0.025,0.016,0.007,0.017,0.009,0.059,0.023,0.026,0.011,0.016,0.006,0.033,0.003,0.017,0.001,0.006,0.118,0.004,0.014,0.009,0.012,0.004,0.003,0.012], [0.056,0.011,0.024,0.034,0.027,0.015,0.065,0.013,0.271,0.006,0.007,0.062,0.028,0.013,0.026,0.014,0.030,0.039,0.027,0.011,0.019,0.006,0.031,0.003,0.027,0.005,0.009,0.061,0.006,0.014,0.011,0.006,0.002,0.004,0.016], [0.041,0.020,0.022,0.002,0.019,0.004,0.007,0.024,0.046,0.016,0.008,0.051,0.036,0.006,0.051,0.109,0.002,0.030,0.027,0.003,0.024,0.005,0.015,0.017,0.008,0.067,0.286,0.005,0.015,0.003,0.014,0.003,0.002,0.005,0.003], [0.014,0.003,0.002,0.000,0.106,0.007,0.079,0.007,0.004,0.003,0.014,0.010,0.041,0.004,0.013,0.011,0.001,0.014,0.031,0.007,0.377,0.022,0.049,0.017,0.004,0.003,0.014,0.009,0.004,0.009,0.050,0.013,0.016,0.034,0.008]] 
KR8877J_5 = [[0.008,0.004,0.008,0.064,0.001,0.018,0.009,0.041,0.003,0.043,0.035,0.008,0.005,0.076,0.001,0.001,0.004,0.009,0.037,0.382,0.001,0.011,0.024,0.005,0.015,0.006,0.007,0.005,0.002,0.030,0.057,0.031,0.029,0.017,0.004], [0.002,0.004,0.004,0.044,0.001,0.012,0.005,0.068,0.001,0.043,0.052,0.003,0.005,0.030,0.001,0.002,0.001,0.007,0.041,0.350,0.003,0.007,0.019,0.005,0.007,0.004,0.011,0.005,0.003,0.007,0.099,0.035,0.076,0.038,0.004], [0.001,0.001,0.015,0.011,0.009,0.004,0.002,0.517,0.004,0.012,0.028,0.007,0.005,0.007,0.005,0.035,0.000,0.011,0.014,0.012,0.005,0.003,0.010,0.000,0.002,0.030,0.006,0.009,0.029,0.000,0.039,0.002,0.016,0.034,0.114], [0.026,0.010,0.036,0.064,0.011,0.009,0.052,0.010,0.360,0.004,0.007,0.022,0.015,0.005,0.017,0.006,0.067,0.019,0.017,0.008,0.013,0.006,0.026,0.002,0.015,0.001,0.004,0.121,0.003,0.011,0.006,0.010,0.003,0.002,0.011], [0.044,0.017,0.027,0.037,0.024,0.016,0.079,0.010,0.259,0.006,0.009,0.032,0.023,0.009,0.022,0.012,0.064,0.031,0.026,0.010,0.019,0.007,0.034,0.004,0.021,0.002,0.007,0.086,0.005,0.018,0.011,0.011,0.003,0.003,0.011], [0.033,0.013,0.021,0.002,0.014,0.003,0.006,0.023,0.033,0.015,0.009,0.048,0.040,0.007,0.056,0.098,0.002,0.032,0.023,0.003,0.023,0.006,0.013,0.015,0.009,0.069,0.331,0.005,0.018,0.002,0.012,0.003,0.002,0.005,0.003], [0.017,0.004,0.002,0.000,0.096,0.008,0.095,0.007,0.004,0.003,0.013,0.012,0.045,0.006,0.017,0.013,0.002,0.016,0.029,0.007,0.360,0.023,0.045,0.023,0.005,0.004,0.018,0.008,0.005,0.010,0.042,0.011,0.013,0.032,0.007]]
KR8877J_6 = [[0.007,0.004,0.007,0.082,0.002,0.023,0.009,0.029,0.003,0.024,0.024,0.008,0.006,0.062,0.001,0.001,0.005,0.009,0.032,0.391,0.002,0.012,0.020,0.005,0.016,0.004,0.006,0.006,0.002,0.037,0.061,0.041,0.033,0.019,0.006], [0.004,0.004,0.008,0.078,0.001,0.013,0.005,0.059,0.002,0.044,0.041,0.006,0.005,0.052,0.001,0.001,0.002,0.008,0.036,0.366,0.001,0.010,0.015,0.003,0.011,0.008,0.008,0.005,0.004,0.015,0.074,0.035,0.045,0.023,0.007], [0.001,0.001,0.013,0.010,0.015,0.006,0.004,0.299,0.004,0.011,0.021,0.011,0.009,0.010,0.009,0.044,0.000,0.021,0.023,0.017,0.008,0.004,0.007,0.000,0.003,0.056,0.008,0.014,0.056,0.000,0.040,0.002,0.016,0.039,0.217], [0.021,0.011,0.022,0.060,0.018,0.026,0.090,0.014,0.234,0.005,0.011,0.025,0.016,0.009,0.015,0.011,0.052,0.030,0.029,0.015,0.019,0.007,0.030,0.003,0.016,0.001,0.003,0.134,0.006,0.013,0.011,0.014,0.004,0.005,0.020], [0.031,0.012,0.027,0.036,0.023,0.020,0.053,0.018,0.269,0.006,0.008,0.029,0.036,0.007,0.029,0.021,0.046,0.030,0.028,0.009,0.023,0.007,0.027,0.003,0.020,0.002,0.010,0.098,0.010,0.009,0.016,0.009,0.004,0.005,0.018], [0.036,0.019,0.017,0.002,0.027,0.004,0.009,0.027,0.063,0.012,0.008,0.045,0.035,0.006,0.050,0.140,0.002,0.036,0.030,0.003,0.031,0.004,0.017,0.016,0.007,0.055,0.239,0.007,0.018,0.002,0.014,0.004,0.003,0.006,0.004], [0.018,0.004,0.002,0.000,0.186,0.004,0.107,0.005,0.005,0.003,0.010,0.008,0.041,0.004,0.017,0.018,0.001,0.012,0.034,0.004,0.300,0.014,0.036,0.018,0.004,0.004,0.020,0.010,0.005,0.008,0.049,0.009,0.011,0.020,0.008]]

seq = (KR8877J, KR8877J_1, KR8877J_2, KR8877J_3, KR8877J_4, KR8877J_5, KR8877J_6)

    for m in range(len(max_list_from_all_plates)-1):    #for max_list in max_list_from_all_plates:
        for n in range(min(len(max_list_from_all_plates[m]), len(max_list_from_all_plates[m+1]))): # for high_indexes in max_list:
            #print(high_indexes)
            for j in max_list_from_all_plates[m][n]:
                a = j[-1]
                c = j[0]
            for j in max_list_from_all_plates[m+1][n]:
                b = j[-1]
                d = j[0]
            #print([a[-1] for a in max_list_from_all_plates[m][n]], [b[-1] for b in max_list_from_all_plates[m+1][n]])

            #if [a[-1] for a in max_list_from_all_plates[m][n]] == [b[-1] for b in max_list_from_all_plates[m+1][n]]:
                #suma = [c[0] + d[0] for c, d in zip(max_list_from_all_plates[m][n] , max_list_from_all_plates[m+1][n])]
            for a in max_list_from_all_plates[m][n]:
                #print(a[-1])
                for g in max_list_from_all_plates[m+1][n]:
                    #print(g[-1])
                    if a[-1] == g[-1]:
                        print('test+', a[-1], g[-1], a[0], g[0])
                        t = a[0] 
                        t += g[0]
                    else:
                        print("test-", a[-1], g[-1])

test+ [0.064, 0.052, 0.36, 0.067, 0.121] [0.06, 0.09, 0.234, 0.052, 0.134] ['3', '6', '8', 'G', 'S'] ['3', '6', '8', 'G', 'S']
['6', '8', 'G', 'S'] ['6', '8', 'S']
test ['6', '8', 'G', 'S'] ['6', '8', 'S']
['E', 'F', 'P', 'R'] ['8', 'F', 'P', 'R']
test ['E', 'F', 'P', 'R'] ['8', 'F', 'P', 'R']
['4', '6', 'K'] ['4', '6', 'K']
test+ [0.096, 0.095, 0.36] [0.186, 0.107, 0.3] ['4', '6', 'K'] ['4', '6', 'K']

                    s = [a[0] + b[0] for a, b in zip(max_list_from_all_plates[k][n] , max_list_from_all_plates[k+1][n])]
                    x = [a[-1] for a in max_list_from_all_plates[k][n]]
                    result = zip(s, x)
                    print(s, x)

        for max_list in max_list_from_all_plates:
            for high_indexes in max_list:
                print([row[2] for row in high_indexes])
   
                i = 0
                i += 1
                for i in range(len(high_indexes)):
                    print("index", i)


                    print("high_indexes", high_indexes[i][2])
                    if high_indexes[i][2] == high_indexes[i+1][2]: # ошибка тут
                        print("equal")
                    else:
                        print("not equal")

['8', 'F', 'P', 'R']
index 0
high_indexes 8
index 1
high_indexes F
index 2
high_indexes P
index 3
high_indexes R
['4', '6', 'K']
index 0
high_indexes 4
index 1
high_indexes 6
index 2
high_indexes K

for max_list_list_from_all_plates:
   
        
        for high_indexes in max_list:
            print("max_list", max_list)
            print("high_indexes", high_indexes)

            r = 0
            r +=r

            print(high_indexes[r][2], high_indexes[r+1][2])

max_list [[[0.082, 3, '3'], [0.062, 13, 'D'], [0.391, 19, 'J'], [0.061, 30, 'V']], [[0.078, 3, '3'], [0.059, 7, '7'], [0. 052, 13, 'D'], [0.366, 19, 'J'], [0.074, 30, 'V']], [[0.299, 7, '7'], [0.056, 25, 'P'], [0.056, 28, 'T'], [0.217, 34, 'Z'], [[0. 06, 3, '3'], [0.09, 6, '6'], [0.234, 8, '8'], [0.052, 16, 'G'], [0.134, 27, 'S'], [[0.053, 6, '6'], [0.269, 8, '8'], [0. 098, 27, 'S']], [[0.063, 8, '8'], [0.14, 15, 'F'], [0.055, 25, 'P'], [0.239, 26, 'R'], [[0.186, 4, '4'], [0.107, 6, '6'], [0.3, 20, 'K']]]]].
high_indexes [[0.186, 4, '4'], [0.107, 6, '6'], [0.3, 20, 'K']].
4 6 

import copy

CATEGORIES = ["0","1","2","3","4","5","6","7","8","9","A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","R","S","T","U","V","W","X","Y","Z"]
KR8877J = [[0.002,0.006,0.004,0.045,0.002,0.017,0.006,0.077,0.001,0.035,0.042,0.005,0.004,0.039,0.001,0.002,0.001,0.008,0.058,0.352,0.002,0.007,0.017,0.004,0.007,0.007,0.007,0.004,0.005,0.009,0.089,0.036,0.053,0.041,0.004],
[0.003,0.007,0.005,0.075,0.001,0.020,0.006,0.044,0.002,0.035,0.026,0.004,0.004,0.033,0.001,0.001,0.003,0.008,0.049,0.360,0.002,0.007,0.021,0.005,0.009,0.003,0.008,0.007,0.003,0.014,0.092,0.048,0.058,0.031,0.004],
[0.002,0.000,0.025,0.012,0.006,0.002,0.001,0.627,0.006,0.021,0.022,0.008,0.004,0.006,0.004,0.033,0.000,0.006,0.011,0.009,0.002,0.002,0.009,0.000,0.002,0.040,0.007,0.005,0.015,0.000,0.035,0.001,0.008,0.015,0.053],
[0.056,0.008,0.023,0.038,0.015,0.007,0.050,0.006,0.412,0.004,0.005,0.027,0.011,0.005,0.021,0.007,0.073,0.024,0.012,0.005,0.013,0.005,0.027,0.003,0.015,0.001,0.005,0.074,0.002,0.022,0.005,0.011,0.002,0.001,0.006],
[0.025,0.011,0.025,0.034,0.018,0.027,0.090,0.008,0.258,0.006,0.007,0.026,0.016,0.008,0.026,0.011,0.079,0.030,0.026,0.008,0.018,0.011,0.033,0.003,0.016,0.001,0.003,0.106,0.004,0.021,0.012,0.013,0.003,0.005,0.014],
[0.048,0.027,0.019,0.002,0.028,0.002,0.008,0.017,0.041,0.014,0.012,0.022,0.031,0.005,0.045,0.100,0.004,0.031,0.033,0.002,0.029,0.006,0.021,0.032,0.008,0.038,0.317,0.007,0.017,0.004,0.018,0.005,0.003,0.004,0.002],
[0.013,0.002,0.002,0.000,0.164,0.001,0.060,0.004,0.006,0.002,0.018,0.003,0.035,0.002,0.008,0.008,0.001,0.008,0.028,0.005,0.383,0.013,0.063,0.010,0.004,0.002,0.014,0.016,0.002,0.005,0.048,0.011,0.028,0.017,0.012]]
KR8877J_1 = [[0.004,0.007,0.005,0.042,0.002,0.014,0.011,0.054,0.002,0.032,0.051,0.005,0.005,0.044,0.001,0.002,0.002,0.008,0.056,0.389,0.003,0.008,0.023,0.005,0.009,0.005,0.009,0.006,0.004,0.010,0.070,0.029,0.049,0.031,0.005],
[0.005,0.005,0.005,0.034,0.002,0.006,0.005,0.083,0.002,0.062,0.053,0.004,0.006,0.039,0.001,0.002,0.001,0.008,0.055,0.348,0.002,0.005,0.020,0.005,0.011,0.011,0.018,0.004,0.005,0.008,0.086,0.018,0.055,0.020,0.004],
[0.001,0.001,0.024,0.009,0.013,0.003,0.002,0.499,0.006,0.011,0.022,0.011,0.007,0.006,0.006,0.048,0.000,0.008,0.013,0.009,0.004,0.002,0.007,0.000,0.002,0.053,0.009,0.007,0.030,0.000,0.030,0.001,0.009,0.021,0.123],
[0.039,0.008,0.029,0.041,0.013,0.008,0.054,0.005,0.369,0.004,0.005,0.023,0.011,0.005,0.020,0.005,0.100,0.022,0.012,0.005,0.012,0.007,0.028,0.002,0.015,0.000,0.003,0.102,0.001,0.021,0.006,0.012,0.002,0.002,0.007],
[0.031,0.007,0.018,0.032,0.015,0.017,0.075,0.008,0.365,0.005,0.005,0.028,0.015,0.005,0.022,0.011,0.075,0.027,0.014,0.005,0.020,0.006,0.025,0.002,0.014,0.001,0.004,0.099,0.003,0.016,0.008,0.009,0.002,0.002,0.010],
[0.046,0.022,0.022,0.002,0.031,0.003,0.008,0.022,0.047,0.011,0.010,0.039,0.035,0.005,0.048,0.110,0.002,0.028,0.031,0.003,0.029,0.006,0.016,0.022,0.007,0.059,0.289,0.005,0.016,0.003,0.013,0.004,0.002,0.004,0.003],
[0.019,0.004,0.002,0.000,0.134,0.004,0.088,0.006,0.004,0.003,0.016,0.007,0.037,0.004,0.016,0.014,0.002,0.014,0.026,0.005,0.342,0.019,0.049,0.024,0.004,0.003,0.021,0.009,0.005,0.009,0.049,0.012,0.017,0.026,0.006]]
KR8877J_2 = [[0.002,0.005,0.005,0.046,0.002,0.014,0.008,0.073,0.002,0.023,0.042,0.004,0.007,0.027,0.001,0.003,0.001,0.006,0.047,0.384,0.005,0.006,0.015,0.003,0.006,0.004,0.011,0.006,0.006,0.005,0.088,0.027,0.066,0.040,0.010],
[0.002,0.005,0.005,0.039,0.002,0.009,0.005,0.089,0.001,0.036,0.043,0.004,0.006,0.026,0.001,0.002,0.001,0.006,0.051,0.387,0.003,0.005,0.014,0.003,0.007,0.007,0.014,0.004,0.007,0.005,0.090,0.022,0.064,0.030,0.006],
[0.002,0.001,0.014,0.011,0.020,0.005,0.004,0.282,0.005,0.012,0.022,0.011,0.009,0.010,0.008,0.041,0.000,0.017,0.030,0.019,0.009,0.003,0.009,0.000,0.004,0.053,0.010,0.016,0.049,0.000,0.043,0.002,0.017,0.037,0.224],
[0.028,0.015,0.029,0.039,0.023,0.020,0.097,0.008,0.239,0.004,0.009,0.021,0.019,0.008,0.017,0.008,0.082,0.023,0.025,0.012,0.020,0.010,0.037,0.003,0.016,0.001,0.003,0.110,0.003,0.019,0.012,0.014,0.004,0.005,0.015],
[0.037,0.013,0.035,0.053,0.025,0.022,0.057,0.017,0.250,0.005,0.009,0.037,0.025,0.008,0.029,0.013,0.057,0.029,0.029,0.009,0.015,0.009,0.027,0.002,0.020,0.002,0.006,0.092,0.006,0.012,0.011,0.011,0.003,0.004,0.021],
[0.036,0.022,0.024,0.003,0.022,0.004,0.011,0.019,0.069,0.014,0.011,0.035,0.045,0.006,0.057,0.096,0.004,0.037,0.030,0.004,0.039,0.007,0.021,0.018,0.010,0.031,0.256,0.013,0.018,0.003,0.018,0.005,0.004,0.006,0.004],
[0.015,0.003,0.002,0.000,0.174,0.004,0.085,0.008,0.005,0.002,0.015,0.008,0.028,0.003,0.013,0.016,0.001,0.015,0.029,0.004,0.357,0.013,0.043,0.017,0.003,0.003,0.017,0.010,0.004,0.007,0.037,0.013,0.015,0.020,0.010]]
KR8877J_3 = [[0.005,0.006,0.006,0.055,0.002,0.017,0.009,0.076,0.003,0.035,0.032,0.007,0.005,0.050,0.001,0.002,0.002,0.011,0.050,0.391,0.002,0.005,0.018,0.003,0.012,0.009,0.009,0.005,0.005,0.012,0.068,0.032,0.032,0.017,0.006],
[0.009,0.005,0.007,0.064,0.002,0.022,0.009,0.040,0.003,0.030,0.026,0.010,0.006,0.069,0.001,0.001,0.004,0.011,0.040,0.379,0.002,0.009,0.021,0.005,0.017,0.007,0.009,0.005,0.003,0.034,0.063,0.035,0.029,0.017,0.006],
[0.001,0.001,0.014,0.011,0.011,0.004,0.003,0.458,0.004,0.012,0.023,0.010,0.007,0.009,0.006,0.039,0.000,0.012,0.016,0.014,0.005,0.003,0.007,0.000,0.002,0.052,0.008,0.009,0.039,0.000,0.036,0.001,0.013,0.032,0.139],
[0.042,0.012,0.023,0.029,0.043,0.015,0.111,0.010,0.235,0.004,0.009,0.036,0.023,0.010,0.018,0.010,0.039,0.029,0.024,0.012,0.025,0.009,0.041,0.003,0.019,0.002,0.005,0.084,0.004,0.018,0.013,0.012,0.004,0.005,0.023],
[0.030,0.008,0.017,0.033,0.011,0.020,0.103,0.009,0.289,0.004,0.006,0.030,0.022,0.007,0.021,0.011,0.108,0.031,0.013,0.008,0.020,0.006,0.023,0.002,0.018,0.001,0.004,0.102,0.005,0.012,0.007,0.007,0.002,0.003,0.009],
[0.034,0.024,0.018,0.003,0.025,0.005,0.008,0.025,0.053,0.010,0.008,0.045,0.036,0.006,0.050,0.119,0.002,0.035,0.028,0.003,0.029,0.005,0.014,0.017,0.007,0.060,0.275,0.006,0.019,0.002,0.013,0.004,0.003,0.006,0.005],
[0.016,0.004,0.002,0.000,0.130,0.003,0.080,0.005,0.004,0.003,0.017,0.005,0.038,0.002,0.015,0.014,0.002,0.011,0.027,0.004,0.378,0.016,0.051,0.019,0.004,0.002,0.020,0.012,0.004,0.006,0.040,0.013,0.023,0.020,0.008]]
KR8877J_4 = [[0.006,0.004,0.007,0.052,0.002,0.012,0.005,0.066,0.002,0.043,0.036,0.007,0.007,0.051,0.001,0.001,0.002,0.008,0.037,0.401,0.002,0.008,0.017,0.004,0.013,0.010,0.014,0.004,0.004,0.016,0.077,0.021,0.038,0.018,0.006],
[0.001,0.001,0.012,0.008,0.013,0.004,0.002,0.462,0.004,0.011,0.022,0.008,0.006,0.006,0.006,0.052,0.000,0.012,0.018,0.012,0.005,0.002,0.007,0.000,0.002,0.046,0.009,0.009,0.040,0.000,0.039,0.002,0.012,0.031,0.136],
[0.004,0.003,0.007,0.042,0.001,0.008,0.005,0.060,0.002,0.062,0.050,0.005,0.004,0.053,0.000,0.001,0.002,0.006,0.033,0.422,0.001,0.008,0.017,0.004,0.011,0.007,0.010,0.003,0.002,0.013,0.065,0.024,0.045,0.017,0.003],
[0.029,0.015,0.032,0.058,0.018,0.013,0.067,0.012,0.287,0.006,0.010,0.025,0.016,0.007,0.017,0.009,0.059,0.023,0.026,0.011,0.016,0.006,0.033,0.003,0.017,0.001,0.006,0.118,0.004,0.014,0.009,0.012,0.004,0.003,0.012],
[0.056,0.011,0.024,0.034,0.027,0.015,0.065,0.013,0.271,0.006,0.007,0.062,0.028,0.013,0.026,0.014,0.030,0.039,0.027,0.011,0.019,0.006,0.031,0.003,0.027,0.005,0.009,0.061,0.006,0.014,0.011,0.006,0.002,0.004,0.016],
[0.041,0.020,0.022,0.002,0.019,0.004,0.007,0.024,0.046,0.016,0.008,0.051,0.036,0.006,0.051,0.109,0.002,0.030,0.027,0.003,0.024,0.005,0.015,0.017,0.008,0.067,0.286,0.005,0.015,0.003,0.014,0.003,0.002,0.005,0.003],
[0.014,0.003,0.002,0.000,0.106,0.007,0.079,0.007,0.004,0.003,0.014,0.010,0.041,0.004,0.013,0.011,0.001,0.014,0.031,0.007,0.377,0.022,0.049,0.017,0.004,0.003,0.014,0.009,0.004,0.009,0.050,0.013,0.016,0.034,0.008]]
KR8877J_5 = [[0.008,0.004,0.008,0.064,0.001,0.018,0.009,0.041,0.003,0.043,0.035,0.008,0.005,0.076,0.001,0.001,0.004,0.009,0.037,0.382,0.001,0.011,0.024,0.005,0.015,0.006,0.007,0.005,0.002,0.030,0.057,0.031,0.029,0.017,0.004],
[0.002,0.004,0.004,0.044,0.001,0.012,0.005,0.068,0.001,0.043,0.052,0.003,0.005,0.030,0.001,0.002,0.001,0.007,0.041,0.350,0.003,0.007,0.019,0.005,0.007,0.004,0.011,0.005,0.003,0.007,0.099,0.035,0.076,0.038,0.004],
[0.001,0.001,0.015,0.011,0.009,0.004,0.002,0.517,0.004,0.012,0.028,0.007,0.005,0.007,0.005,0.035,0.000,0.011,0.014,0.012,0.005,0.003,0.010,0.000,0.002,0.030,0.006,0.009,0.029,0.000,0.039,0.002,0.016,0.034,0.114],
[0.026,0.010,0.036,0.064,0.011,0.009,0.052,0.010,0.360,0.004,0.007,0.022,0.015,0.005,0.017,0.006,0.067,0.019,0.017,0.008,0.013,0.006,0.026,0.002,0.015,0.001,0.004,0.121,0.003,0.011,0.006,0.010,0.003,0.002,0.011],
[0.044,0.017,0.027,0.037,0.024,0.016,0.079,0.010,0.259,0.006,0.009,0.032,0.023,0.009,0.022,0.012,0.064,0.031,0.026,0.010,0.019,0.007,0.034,0.004,0.021,0.002,0.007,0.086,0.005,0.018,0.011,0.011,0.003,0.003,0.011],
[0.033,0.013,0.021,0.002,0.014,0.003,0.006,0.023,0.033,0.015,0.009,0.048,0.040,0.007,0.056,0.098,0.002,0.032,0.023,0.003,0.023,0.006,0.013,0.015,0.009,0.069,0.331,0.005,0.018,0.002,0.012,0.003,0.002,0.005,0.003],
[0.017,0.004,0.002,0.000,0.096,0.008,0.095,0.007,0.004,0.003,0.013,0.012,0.045,0.006,0.017,0.013,0.002,0.016,0.029,0.007,0.360,0.023,0.045,0.023,0.005,0.004,0.018,0.008,0.005,0.010,0.042,0.011,0.013,0.032,0.007]]
KR8877J_6 = [[0.007,0.004,0.007,0.082,0.002,0.023,0.009,0.029,0.003,0.024,0.024,0.008,0.006,0.062,0.001,0.001,0.005,0.009,0.032,0.391,0.002,0.012,0.020,0.005,0.016,0.004,0.006,0.006,0.002,0.037,0.061,0.041,0.033,0.019,0.006],
[0.004,0.004,0.008,0.078,0.001,0.013,0.005,0.059,0.002,0.044,0.041,0.006,0.005,0.052,0.001,0.001,0.002,0.008,0.036,0.366,0.001,0.010,0.015,0.003,0.011,0.008,0.008,0.005,0.004,0.015,0.074,0.035,0.045,0.023,0.007],
[0.001,0.001,0.013,0.010,0.015,0.006,0.004,0.299,0.004,0.011,0.021,0.011,0.009,0.010,0.009,0.044,0.000,0.021,0.023,0.017,0.008,0.004,0.007,0.000,0.003,0.056,0.008,0.014,0.056,0.000,0.040,0.002,0.016,0.039,0.217],
[0.021,0.011,0.022,0.060,0.018,0.026,0.090,0.014,0.234,0.005,0.011,0.025,0.016,0.009,0.015,0.011,0.052,0.030,0.029,0.015,0.019,0.007,0.030,0.003,0.016,0.001,0.003,0.134,0.006,0.013,0.011,0.014,0.004,0.005,0.020],
[0.031,0.012,0.027,0.036,0.023,0.020,0.053,0.018,0.269,0.006,0.008,0.029,0.036,0.007,0.029,0.021,0.046,0.030,0.028,0.009,0.023,0.007,0.027,0.003,0.020,0.002,0.010,0.098,0.010,0.009,0.016,0.009,0.004,0.005,0.018],
[0.036,0.019,0.017,0.002,0.027,0.004,0.009,0.027,0.063,0.012,0.008,0.045,0.035,0.006,0.050,0.140,0.002,0.036,0.030,0.003,0.031,0.004,0.017,0.016,0.007,0.055,0.239,0.007,0.018,0.002,0.014,0.004,0.003,0.006,0.004],
[0.018,0.004,0.002,0.000,0.186,0.004,0.107,0.005,0.005,0.003,0.010,0.008,0.041,0.004,0.017,0.018,0.001,0.012,0.034,0.004,0.300,0.014,0.036,0.018,0.004,0.004,0.020,0.010,0.005,0.008,0.049,0.009,0.011,0.020,0.008]]
 

 
seq = (KR8877J, KR8877J_1, KR8877J_2, KR8877J_3, KR8877J_4, KR8877J_5, KR8877J_6)
if __name__ == "__main__":
 
    max_index = 0
    max_list_from_all_plates = []
    Secondplate =None
    threshold = 0.05
    listy  = []

    for single_lp in seq:
        maximum_plate_prob = []
        possible_plate_prob = []
        max_list = []
    
        for sign in single_lp:
            high_indexes = []
            for prob_id in range(0,len(sign)):
                if threshold<sign[prob_id]:
                    high_indexes.append([sign[prob_id], prob_id, CATEGORIES[prob_id]])
            max_list.append(high_indexes)
            
        max_list_from_all_plates.append(max_list)
        h = high_indexes[0]
        newlist = copy.deepcopy(max_list)

        maximum = [max(h) for h in max_list]
        listy.append(maximum)

        m = [max(h) for h in newlist]
            

        n = 0 
        for i in newlist:
            i.remove(m[n])
            n += 1

        maximum2 = [max(h) for h in newlist]
        
        print(maximum, maximum2)
    print(max_list_from_all_plates)

My output: [[0.352, 19, 'J'], [0.36, 19, 'J'], [0.627, 7, '7'], [0.412, 8, '8'], [0.258, 8, '8'], [0.317, 26, 'R'], [0.383, 20, 'K']] [[0.089, 30, 'V'], [0.092, 30, 'V'], [0.053, 34, 'Z'], [0.074, 27, 'S'], [0.106, 27, 'S'], [0.1, 15, 'F'], [0.164, 4, '4']]

I want to compare letters more or less like K || K, R || R or KR8877J || KR8877J to see if they are the same.

if __name__ == "__main__":
 
    max_index = 0
    max_list_from_all_plates = []
 
    threshold = 0.05
 
    for single_lp in seq:
        maximum_plate_prob = []
        possible_plate_prob = []
        max_list = []
       
        for sign in single_lp:
            high_indexes = []
            for prob_id in range(0,len(sign)):
                if threshold<sign[prob_id]:
                    high_indexes.append([sign[prob_id], prob_id, CATEGORIES[prob_id]])
            max_list.append(high_indexes)
        max_list_from_all_plates.append(max_list)
        h = high_indexes[0]

        newlist = max_list
        ma = [max(h) for h in max_list]
        print("max_list", ma)

        #m = [max() for h in newlist]
    #print(max_list_from_all_plates)

        for i in newlist:
            x = i[0] 
            m = [max(x) for x in newlist]
            #print(m)
        print(m)
        newlist.remove(m)

  


if __name__ == "__main__":

    max_index = 0
    max_list_from_all_plates = []
    accuracy = 0
    threshold = 0.05
 
    for single_lp in seq:
        maximum_plate_prob = []
        possible_plate_prob = []
        max_list = []
       
        for sign in single_lp:
            high_indexes = []
            for prob_id in range(0,len(sign)):
                if threshold<sign[prob_id]:
                    high_indexes.append([sign[prob_id], prob_id, CATEGORIES[prob_id]])
            max_list.append(high_indexes)
        max_list_from_all_plates.append(max_list)
        listy = []
        lista = []
        #print(max_list_from_all_plates)
        print(high_indexes)



        maxProbIds = []
        currentMaxIDs = []
        for letterProbability in max_list:
            ids = []
            maxValID = 0
            for probabilityId in range(0, len(letterProbability)):
                if(letterProbability[probabilityId]>letterProbability[maxValID]):
                    maxValID = probabilityId

                print("letterProbability", letterProbability[probabilityId])
                if(letterProbability[probabilityId][0]>threshold):
                    ids.append(probabilityId)
            if(len(ids)==0):
                ids.append(maxValID)
            accuracy += letterProbability[maxValID][0]
            maxProbIds.append(ids)
            currentMaxIDs.append(maxValID)
 
        accuracy /= float(len(high_indexes))
        
        currentText = ""
        predictionShow = ""
        for i in range(len(currentMaxIDs)):
            print("i", i)
            print("currentMaxIDs", currentMaxIDs)

            predictionShow += CATEGORIES[currentMaxIDs[0][i]]+ ": " + str(high_indexes[0][i][currentMaxIDs[i]]) + "  "

#for index in listy:
    l = len(max_list_from_all_plates)
    for i in range(0, l):
        print(l)
        #for j in range(0, l):
        for j in range(0, l-i-1):
            print(j)
            if (max_list_from_all_plates[j][0] > max_list_from_all_plates[j+ 1][0]):
                temp = max_list_from_all_plates[j]
                max_list_from_all_plates[j]= max_list_from_all_plates[j + 1]
                max_list_from_all_plates[j + 1]= temp
    return max_list_from_all_plates
print("max_list_from_all_plates", Sorting(max_list_from_all_plates))
output:
max_list_from_all_plates [[[[0.052, 3, '3'], [0.066, 7, '7'], [0.051, 13, 'D'], [0.401, 19, 'J'], [0.077, 30, 'V']], [[0.462, 7, '7'], [0.052, 15, 'F'], [0.136, 34, 'Z']], [[0.06, 7, '7'], [0.062, 9, '9'], [0.053, 13, 'D'], [0.422, 19, 'J'], [0.065, 30, 'V']], [[0.058, 3, '3'], [0.067, 6, '6'], [0.287, 8, '8'], [0.059, 16, 'G'], [0.118, 27, 'S']], [[0.056, 0, '0'], [0.065, 6, '6'], [0.271, 8, '8'], [0.062, 11, 'B'], [0.061, 27, 'S']], [[0.051, 11, 'B'], [0.051, 14, 'E'], [0.109, 15, 'F'], [0.067, 25, 'P'], [0.286, 26, 'R']], [[0.106, 4, '4'], [0.079, 6, '6'], [0.377, 20, 'K']]], [[[0.054, 7, '7'], [0.051, 10, 'A'], [0.056, 18, 'I'], [0.389, 19, 'J'], [0.07, 30, 'V']], [[0.083, 7, '7'], [0.062, 9, '9'], [0.053, 10, 'A'], [0.055, 18, 'I'], [0.348, 19, 'J'], [0.086, 30, 'V'], [0.055, 32, 'X']], [[0.499, 7, '7'], [0.053, 25, 'P'], [0.123, 34, 'Z']], [[0.054, 6, '6'], [0.369, 8, '8'], [0.1, 16, 'G'], [0.102, 27, 'S']], [[0.075, 6, '6'], [0.365, 8, '8'], [0.075, 16, 'G'], [0.099, 27, 'S']], [[0.11, 15, 'F'], [0.059, 25, 'P'], [0.289, 26, 'R']], [[0.134, 4, '4'], [0.088, 6, '6'], [0.342, 20, 'K']]], [[[0.055, 3, '3'], [0.076, 7, '7'], [0.391, 19, 'J'], [0.068, 30, 'V']], [[0.064, 3, '3'], [0.069, 13, 'D'], [0.379, 19, 'J'], [0.063, 30, 'V']], [[0.458, 7, '7'], [0.052, 25, 'P'], [0.139, 34, 'Z']], [[0.111, 6, '6'], [0.235, 8, '8'], [0.084, 27, 'S']], [[0.103, 6, '6'], [0.289, 8, '8'], [0.108, 16, 'G'], [0.102, 27, 'S']], [[0.053, 8, '8'], [0.119, 15, 'F'], [0.06, 25, 'P'], [0.275, 26, 'R']], [[0.13, 4, '4'], [0.08, 6, '6'], [0.378, 20, 'K'], [0.051, 22, 'M']]], [[[0.064, 3, '3'], [0.076, 13, 'D'], [0.382, 19, 'J'], [0.057, 30, 'V']], [[0.068, 7, '7'], [0.052, 10, 'A'], [0.35, 19, 'J'], [0.099, 30, 'V'], [0.076, 32, 'X']], [[0.517, 7, '7'], [0.114, 34, 'Z']], [[0.064, 3, '3'], [0.052, 6, '6'], [0.36, 8, '8'], [0.067, 16, 'G'], [0.121, 27, 'S']], [[0.079, 6, '6'], [0.259, 8, '8'], 
[0.064, 16, 'G'], [0.086, 27, 'S']], [[0.056, 14, 'E'], [0.098, 15, 'F'], [0.069, 25, 'P'], [0.331, 26, 'R']], [[0.096, 4, '4'], [0.095, 6, '6'], [0.36, 20, 'K']]], [[[0.073, 7, '7'], [0.384, 19, 'J'], [0.088, 30, 'V'], [0.066, 32, 'X']], [[0.089, 7, '7'], [0.051, 18, 'I'], [0.387, 19, 'J'], [0.09, 30, 'V'], [0.064, 32, 'X']], [[0.282, 7, '7'], [0.053, 25, 'P'], [0.224, 34, 'Z']], [[0.097, 6, '6'], [0.239, 8, '8'], [0.082, 16, 'G'], [0.11, 27, 'S']], [[0.053, 3, '3'], [0.057, 6, '6'], [0.25, 8, '8'], [0.057, 16, 'G'], [0.092, 27, 'S']], [[0.069, 8, '8'], [0.057, 14, 'E'], [0.096, 15, 'F'], [0.256, 26, 'R']], [[0.174, 4, '4'], [0.085, 6, '6'], [0.357, 20, 'K']]], [[[0.077, 7, '7'], [0.058, 18, 'I'], [0.352, 19, 'J'], [0.089, 30, 'V'], [0.053, 32, 'X']], [[0.075, 3, '3'], [0.36, 19, 'J'], [0.092, 30, 'V'], 
[0.058, 32, 'X']], [[0.627, 7, '7'], [0.053, 34, 'Z']], [[0.056, 0, '0'], [0.412, 8, '8'], [0.073, 16, 'G'], [0.074, 27, 'S']], [[0.09, 6, '6'], [0.258, 8, '8'], [0.079, 16, 'G'], [0.106, 27, 'S']], [[0.1, 15, 'F'], [0.317, 26, 'R']], [[0.164, 4, '4'], [0.06, 6, '6'], [0.383, 20, 'K'], [0.063, 22, 'M']]], [[[0.082, 3, '3'], [0.062, 13, 'D'], [0.391, 19, 'J'], [0.061, 30, 'V']], [[0.078, 3, '3'], [0.059, 7, '7'], [0.052, 13, 'D'], [0.366, 19, 'J'], [0.074, 30, 'V']], [[0.299, 7, '7'], [0.056, 25, 'P'], [0.056, 28, 'T'], [0.217, 34, 'Z']], 
[[0.06, 3, '3'], [0.09, 6, '6'], [0.234, 8, '8'], [0.052, 16, 'G'], [0.134, 27, 'S']], [[0.053, 6, '6'], [0.269, 8, '8'], [0.098, 27, 'S']], [[0.063, 8, '8'], [0.14, 15, 'F'], [0.055, 25, 'P'], [0.239, 26, 'R']], [[0.186, 4, '4'], [0.107, 6, '6'], [0.3, 20, 'K']]]]      

suma += Highest_score
                lists.append([Highest_score, i])
            lists.extend([suma])
            listy.append(lists)


for index in listy:

    for i in range(0, len(index)): 
  
        if i == (len(index)-1): 
 
            print(listy, i)  

for n in listy: 
    def Sort(n): 

        l = len(n)

        #print(i)
        #for i in range(0, len(n)):
        for i in range(0, l):
            #if i == l-1:
            for j in range(0, l-i-1): 
                float(j)
                if (n[j][1] > n[j + 1][1]): 
                    tempo = n[j] 
                    n[j]= n[j + 1] 
                    n[j + 1]= tempo 
            print("Sorted", n)

def Sort(sub_li): 
    l = len(sub_li) 
    for i in range(0, l): 
        for j in range(0, l-i-1): 
            if (sub_li[j][1] > sub_li[j + 1][1]): 
                tempo = sub_li[j] 
                sub_li[j]= sub_li[j + 1] 
                sub_li[j + 1]= tempo 
    return sub_li 
  
# Driver Code 
sub_li =[['rishav', 10], ['akash', 5], ['ram', 20], ['gaurav', 15]] 
print(Sort(sub_li))