图像的本质(图像可以用数组来表示)
import numpy as np import cv2 img = 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 np import cv2 videoCapture = 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()