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- import cv2
- import time
- import argparse
- parser = argparse.ArgumentParser(description='Test yolo data.')
- parser.add_argument('-i', help='Image', dest='img', required=True)
- parser.add_argument('-t', help='Yolo text file', dest='txt',required=True)
-
- args = parser.parse_args()
- frame = cv2.imread(args.img)
- cv2.namedWindow("f", cv2.WINDOW_NORMAL);
-
- coordinates = []
- with open(args.txt, "r") as lines:
- for line in lines:
- hT, wT, cT = frame.shape
- coordinates = line.rstrip('\n').split(' ')
- idx = coordinates[0]
- x1, y1,w2,h2 = float(coordinates[1]), float(coordinates[2]), float(coordinates[3]), float(coordinates[4])
- print(x1,y1,w2,h2)
- w, h = int(w2 * wT), int(h2 * hT)
- x, y = int((x1 * wT) - w / 2), int((y1 * hT) - h / 2)
- # # 0 1 2 3 x1 - центр по x в процентах y1- центр по y в процентах w2- центр по w в процентах h2- центр по h в процентах
- cv2.rectangle(frame, (x,y), (x+w, y+h), (0,255,255), 2)
- cv2.putText(frame,str(idx), (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (128, 0, 255), 2)
- cv2.imshow("f", frame)
- cv2.waitKey(0)
-
-
- # import cv2
- # import time
- # import argparse
- # import numpy as np
- # import matplotlib.pyplot as plt
- # parser = argparse.ArgumentParser(description='Test yolo data.')
- # parser.add_argument('-i', help='Image', dest='img', required=True)
- # parser.add_argument('-t', help='Yolo text file', dest='txt',required=True)
- # parser.add_argument('-l', help='labels txt file', dest='label',required=True)
- # args = parser.parse_args()
- # frame = cv2.imread(args.img)
- # cv2.namedWindow("f", cv2.WINDOW_NORMAL);
-
- # coordinates = []
-
- # with open(args.txt, "r") as lines:
- # for line in lines:
- # hT, wT, cT = frame.shape
- # coordinates = line.rstrip('\n').split(' ')
- # idx = coordinates[0]
- # x1, y1,w2,h2 = float(coordinates[1]), float(coordinates[2]), float(coordinates[3]), float(coordinates[4])
- # print(x1,y1,w2,h2)
- # cmap = plt.get_cmap('tab20b')
- # colors = [cmap(i)[:3] for i in np.linspace(0, 1, 20)]
- # color = colors[int(idx) % len(colors)]
- # color = [i * 255 for i in color]
- # w, h = int(w2 * wT), int(h2 * hT)
- # x, y = int((x1 * wT) - w / 2), int((y1 * hT) - h / 2)
- # with open(args.label, "r") as labels:
- # classNames = labels.read().rstrip('\n').split('\n')
- # # # 0 1 2 3 x1 - центр по x в процентах y1- центр по y в процентах w2- центр по w в процентах h2- центр по h в процентах
- # cv2.rectangle(frame, (x,y), (x+w, y+h), color,3)
- # print(len(classNames[1]))
- # cv2.rectangle(frame, (x,y-30), (x+len(classNames[int(idx)]*15), y), color,-1)
- # cv2.putText(frame,str(classNames[int(idx)]), (x+4, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 2)
- # cv2.imshow("f", frame)
- # cv2.waitKey(0)
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