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- import numpy as np
- import cv2
- palette = (2 ** 11 - 1, 2 ** 15 - 1, 2 ** 20 - 1)
- def compute_color_for_labels(label):
- """
- Simple function that adds fixed color depending on the class
- """
- color = [int((p * (label ** 2 - label + 1)) % 255) for p in palette]
- return tuple(color)
- def draw_boxes(img, bbox, identities=None, offset=(0,0)):
- for i,box in enumerate(bbox):
- x1,y1,x2,y2 = [int(i) for i in box]
- x1 += offset[0]
- x2 += offset[0]
- y1 += offset[1]
- y2 += offset[1]
- # box text and bar
- id = int(identities[i]) if identities is not None else 0
- color = compute_color_for_labels(id)
- label = '{}{:d}'.format("", id)
- t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 2 , 2)[0]
- cv2.rectangle(img,(x1, y1),(x2,y2),color,3)
- cv2.rectangle(img,(x1, y1),(x1+t_size[0]+3,y1+t_size[1]+4), color,-1)
- cv2.putText(img,label,(x1,y1+t_size[1]+4), cv2.FONT_HERSHEY_PLAIN, 2, [255,255,255], 2)
- return img
- if __name__ == '__main__':
- for i in range(82):
- print(compute_color_for_labels(i))
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