1图片视频文件操作基础

视频/摄像头处理

#1打开视屏文件

#打开视屏文件
def extrace_object_demo():
    capture = cv.VideoCapture("D:/vcprojects/images/video_006.mp4")
    while(True):
        ret, frame = capture.read()
        if ret == False:#读到视频结尾返回false
            break;
        hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
        lower_hsv = np.array([37, 43, 46])
        upper_hsv = np.array([77, 255, 255])
        mask = cv.inRange(hsv, lowerb=lower_hsv, upperb=upper_hsv)
        dst = cv.bitwise_and(frame, frame, mask=mask)
        cv.imshow("video", frame)
        cv.imshow("mask", dst)
        c = cv.waitKey(40)
        if c == 27:
            break

2#调用摄像头获得像素数据

import cv2 as cv
import numpy as np

#视频

def video_demo():
    capture = cv.VideoCapture(0)#0是代表摄像头，也可以改成视频文件路径
    while(True):
        ret, frame = capture.read()#ret是返回值，frame代表视频每一帧
        frame = cv.flip(frame, 1)#镜像变化
        cv.imshow("video", frame)#显示视频的每一帧
        c = cv.waitKey(50)
        if c == 27:
            break

#获取像素等数据
def get_image_info(image):
    print(type(image))#类型
    print(image.shape)#高，宽，通道数
    print(image.size)
    print(image.dtype)
    pixel_data = np.array(image)#获取像素
    print(pixel_data)


print("--------- Hello Python ---------")
src = cv.imread("C:/Users/wml/Desktop/wml/ym.jpg")
cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)
cv.imshow("input image", src)
video_demo()
# get_image_info(src)
gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)#获取灰度图
cv.imwrite("C:/Users/wml/Desktop/wml/ym_gray.jpg", gray)#保存图片
cv.waitKey(0)

cv.destroyAllWindows()