图像的本质（图像可以用数组来表示）

import numpy as npimport cv2img = np.zeros((3, 3), dtype=np.uint8)print(img, img.dtype)img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)print(img, img.dtype, img.shape)

图片格式转换（jpg->png）

image = cv2.imread("img/1.jpg")cv2.imwrite("img/1.png",image)

使用numpy.array访问图像数据

image = cv2.imread("img/1.jpg")image[0:100,0:100] = [255,255,255]cv2.imshow("Demo",image)cv2.waitKey(0)

图像的属性

image = cv2.imread("img/1.jpg")print(image.shape)print(image.size)print(image.dtype)

shape：图像的宽度、高度和通道数

size：图像的大小=宽*高*通道数

dtype：图像像素值的数据类型

视频类型转换

import numpy as npimport cv2videoCapture = cv2.VideoCapture("img/小杰克的攻击.mp4")fps = videoCapture.get(cv2.CAP_PROP_FPS)  # 获取每秒多少帧size = (    int(videoCapture.get(cv2.CAP_PROP_FRAME_WIDTH)),  # 获取视频帧宽度    int(videoCapture.get(cv2.CAP_PROP_FRAME_HEIGHT))  # 获取视频帧高度)videoWriter = cv2.VideoWriter("output.avi", cv2.VideoWriter_fourcc('I', '4', '2', '0'), fps, size)success ,frame = videoCapture.read()while success:    videoWriter.write(frame)    success,frame = videoCapture.read()