快速上手OpenCV实现图像风格化迁移

官微编辑部里看到一期赛博校园组图，但感觉变形扭曲看起来挺粗糙的，就想用OpenCV做一下风格化迁移

首先安装OpenCV

通过pip包管理器安装，非常便捷

python3 -m pip install opencv-python

风格化迁移代码

安装好OpenCV之后，需要一个DNN模块来实现风格化迁移

参考 https://github.com/opencv/opencv/blob/3.4.0/samples/dnn/fast_neural_style.py 中的代码

 1 import cv2 as cv
 2 import numpy as np
 3 import argparse
 4 
 5 parser = argparse.ArgumentParser(
 6         description='This script is used to run style transfer models from '
 7                     'https://github.com/jcjohnson/fast-neural-style using OpenCV')
 8 parser.add_argument('--input', help='Path to image or video. Skip to capture frames from camera')
 9 parser.add_argument('--model', help='Path to .t7 model')
10 parser.add_argument('--width', default=-1, type=int, help='Resize input to specific width.')
11 parser.add_argument('--height', default=-1, type=int, help='Resize input to specific height.')
12 parser.add_argument('--median_filter', default=0, type=int, help='Kernel size of postprocessing blurring.')
13 args = parser.parse_args()
14 
15 net = cv.dnn.readNetFromTorch(args.model)
16 
17 if args.input:
18     cap = cv.VideoCapture(args.input)
19 else:
20     cap = cv.VideoCapture(0)
21 
22 cv.namedWindow('Styled image', cv.WINDOW_NORMAL)
23 while cv.waitKey(1) < 0:
24     hasFrame, frame = cap.read()
25     if not hasFrame:
26         cv.waitKey()
27         break
28 
29     inWidth = args.width if args.width != -1 else frame.shape[1]
30     inHeight = args.height if args.height != -1 else frame.shape[0]
31     inp = cv.dnn.blobFromImage(frame, 1.0, (inWidth, inHeight),
32                               (103.939, 116.779, 123.68), swapRB=False, crop=False)
33 
34     net.setInput(inp)
35     out = net.forward()
36 
37     out = out.reshape(3, out.shape[2], out.shape[3])
38     out[0] += 103.939
39     out[1] += 116.779
40     out[2] += 123.68
41     out /= 255
42     out = out.transpose(1, 2, 0)
43 
44     t, _ = net.getPerfProfile()
45     freq = cv.getTickFrequency() / 1000
46     print t / freq, 'ms'
47 
48     if args.median_filter:
49         out = cv.medianBlur(out, args.median_filter)
50 
51     cv.imshow('Styled image', out)

调用的示例代码belike

python3 fast_neural_style.py --input input_aq.jpg --model xxx.t7

预训练风格化模型

在OpenCV中的参考项目 https://github.com/jcjohnson/fast-neural-style 中可以找到一些预训练好的风格化模型

按照readme的步骤配置Lua然后下载Model就行

 

posted @ 2022-11-04 11:14  AntiQuality  阅读(248)  评论(0)  编辑  收藏  举报