Files
crnn_plate_recognition/Text-Image-Augmentation-python-master/demo.py
2022-11-15 21:05:11 +08:00

42 lines
1.3 KiB
Python

# -*- coding:utf-8 -*-
# Author: RubanSeven
import cv2
import imageio
import numpy as np
from augment import distort, stretch, perspective
def create_gif(image_list, gif_name, duration=0.1):
frames = []
for image in image_list:
frames.append(image)
imageio.mimsave(gif_name, frames, 'GIF', duration=duration)
return
if __name__ == '__main__':
im = cv2.imdecode(np.fromfile(r"H:\@chepai\Text-Image-Augmentation-python-master\imgs\demo.png",dtype=np.uint8),-1)
# im = cv2.resize(im, (200, 64))
cv2.imshow("im_CV", im)
distort_img_list = list()
stretch_img_list = list()
perspective_img_list = list()
for i in range(1):
distort_img = distort(im, 4)
distort_img_list.append(distort_img)
# cv2.imshow("distort_img", distort_img)
stretch_img = stretch(distort_img, 4)
# cv2.imshow("stretch_img", stretch_img)
stretch_img_list.append(stretch_img)
perspective_img = perspective(stretch_img)
cv2.imshow("perspective_img", perspective_img)
perspective_img_list.append(perspective_img)
cv2.waitKey(1)
create_gif(distort_img_list, r'imgs/distort.gif')
create_gif(stretch_img_list, r'imgs/stretch.gif')
create_gif(perspective_img_list, r'imgs/perspective.gif')