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一、直接看效果
源代码图像:
结果图像(转为彩色字符串):
2、上代码
解释:下面的path是视频路径,结果就会显示如上图所示;想要黑白效果自需要将代码下面的(b,g,r)改为(255,255,255)黑白的,具体代码里有注释
import cv2 import numpy as np def readVideo(path): videoCapture = cv2.VideoCapture() videoCapture.open(path) frames = videoCapture.get(cv2.CAP_PROP_FRAME_COUNT) fps = videoCapture.get(cv2.CAP_PROP_FPS) for i in range(int (0),int(fps*10)): ret,frame = videoCapture.read() # ret是bool类型,frame是image ndarray类型 src = cv2.resize(frame,(int (frame.shape[1]*0.6),int (frame.shape[0]*0.6))) src = imageToChar(src) cv2.imshow('frame',src) cv2.waitKey(1) # cv2.destroyAllWindows() def imageToChar(img): string = "&*qwertyuiopasdfghjklzxcvbnmQWERTYUIOPASDFGHJKLZXCVBNM" count = len(string) u, v, _= img.shape c = img*0 + 0 # c = np.zeros((u,v)) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # cv2.imshow('output', c) for i in range(0, u-1,10): for j in range(0, v-1,10): pix = gray[i, j] b, g, r = img[i, j] zifu = string[int(((count - 1) * pix) / 256)] cv2.putText(c, zifu, (j, i), cv2.FONT_HERSHEY_COMPLEX, 0.5,(int(b),int(g),int(r))) # 想要将图像转化为黑白的只需要把(int(b),int(g),int(r))改成(0,255,255) return c readVideo('../image/cai.mp4') cv2.waitKey(0)
3、总结
使用python+openCV,较简单,有兴趣可以玩玩。有问题的伙伴可以在评论区中留言,我会及时回复大家的!!!
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