import cv2


data_file = "Dataset"
file = open("./"+data_file+"/input_seg.txt", 'r')

# Enter your name
out_file = open("./results/almat_kenen_KBTU.txt", 'w')

for line in file:
    if ".jpg" in line:
        imgPath = "./"+data_file+"/" + line[:-1]
        img = cv2.imread(imgPath)
        line1 = line
    else:
        cords = line[:-1].split(" ")
        y1 = int(cords[0])
        x1 = int(cords[1])
        y2 = int(cords[2])
        x2 = int(cords[3])

        lp_img = img[y1:y2, x1:x2]
        cv2.imshow("LP img", lp_img)
        cv2.waitKey(0)


        out_file.write(line1)
        out_file.write(line)
        out_file.write(out)
        #out_file.write("Here import cv2
import tools as tl
import numpy as np

data_file = "Dataset"
file = open("./"+data_file+"/input_seg.txt", 'r')

# Enter your name
out_file = open("./results/Artur_Abdalimov_KBTU.txt", 'w')

for line in file:
    if ".jpg" in line:
        imgPath = "./"+data_file+"/" + line[:-1]
        img = cv2.imread(imgPath)
        line1 = line
    else:
        cords = line[:-1].split(" ")
        y1 = int(cords[0])
        x1 = int(cords[1])
        y2 = int(cords[2])
        x2 = int(cords[3])

        ar = [0, 0.12, 0.23, 0.34, 0.43, 0.55, 0.64, 0.74, 0.77, 0.87, 1.0]
        ans = []
        ln = x2 - x1

        for i in range(len(ar)):
          cur = x1 + ln * ar[i]
          ans.append(cur)

        out = " ".join(str(x) for x in ans)
        out_file.write(line1)
        out_file.write(line)
        out_file.write(out)