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opencv-python视频处理之白闪效果

程序员文章站 2022-03-07 20:19:25
主要原理就是使用Gamma变换就是指数变换,对图像原来的灰度值进行Gamma次方后得到另一个灰度值,当Gamma小于1大于0时候,灰度值就会趋向低灰度值,这就是曝光...

import cv2
import numpy
def gamma_t(image,gamma):
    gamma_ta=[numpy.power(x/255,gamma)*255 for x in range(256)]
    gamma_ta=np.round(np.array(gamma_ta)).astype(np.uint8)
    return cv2.LUT(image,gamma_ta)
def main_g():
    vc = cv2.VideoCapture('sample.mp4')
    c = 1
    cout = 5  # 帧数
    fps = vc.get(cv2.CAP_PROP_FPS)
    fourcc = cv2.VideoWriter_fourcc(*'MJPG')
    video_writer = cv2.VideoWriter("img_shake.mp4", fourcc, fps, (640, 480))
    while vc.isOpened():
        rval, frame = vc.read()
        # 每5帧抖动一次
        if (c % 5 == 0 or 0 < cout < 5):
            dst = gamma_t(frame,0.3)
            video_writer.write(dst)
        else:
            # 这里可以控制帧数
            cout = 5
            cv2.imshow("dst", frame)
            video_writer.write(frame)
            c = c + 1
        cv2.waitKey(1)
    vc.release()
    

利用特效图片

import cv2
import numpy as np
def main_ts() :
    img=cv2.imread('sss.jpg')
    height,width, n=img. shape
    mask=cv2.imread('sss.jpg')#特效图片,
    mask=cv2.resize (mask, (width, height) ,interpolation=cv2.INTER_CUBIC)
    dst=cv2.addWeighted(img,0.6,mask,0.4,0)
    cv2. imshow ("demo", dst)
    cv2.waitKey(0)

本文地址:https://blog.csdn.net/weixin_32759777/article/details/107305673