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03 打开摄像头
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‎.idea/.gitignore

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‎.idea/OpenCV-Python-Tutorial.iml

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‎.idea/inspectionProfiles/profiles_settings.xml

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‎.idea/misc.xml

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‎02-Basic-Element-Image/cv2_getting_start_with_images.py

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import cv2
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# 1.灰度图加载一张彩色图
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# cv2.IMREAD_COLOR：彩色图，默认值(1)
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# cv2.IMREAD_GRAYSCALE：灰度图(0)
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# cv2.IMREAD_UNCHANGED：包含透明通道的彩色图(-1)
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img = cv2.imread('lena.jpg', 0)
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‎02-Basic-Element-Image/lena_gray.jpg

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‎02-Basic-Element-Image/lena_save.bmp

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‎03-Open-Camera/cv2_capture_live_video_from_camera.py

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import cv2
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# 1.打开摄像头
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capture = cv2.VideoCapture(2)
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capture = cv2.VideoCapture(0)
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# 2.获取捕获的分辨率
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width, height = capture.get(3), capture.get(4)
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print(width, height)
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# 以原分辨率的一倍来捕获，
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# 以原分辨率的一倍来捕获
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# 参数1可以直接写数字，或者OpenCV符号表示
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capture.set(cv2.CAP_PROP_FRAME_WIDTH, width * 2)
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capture.set(cv2.CAP_PROP_FRAME_HEIGHT, height * 2)
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while(True):
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# 获取一帧
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# capture.read() 获取一帧
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# ret 是一个布尔值，表示这一帧是否获取正确
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# frame 获取这一帧的数据
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ret, frame = capture.read()
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# 将这帧转换为灰度图
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print(frame)
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# 将这帧转换为灰度图 COLOR_BGR2GRAY
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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cv2.imshow('frame', gray)

‎03-Open-Camera/cv2_exercise1.py

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capture = cv2.VideoCapture('demo_video.mp4')
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# 获取视频总共多少帧
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frames = capture.get(cv2.CAP_PROP_FRAME_COUNT)
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# 创建滑动条
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# 创建滑动条 5个参数
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# 参数1：滑动条的名称
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# 参数2：所在窗口的名称， 所以要先创建窗口
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# 参数3：当前的值
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# 参数4：最大值
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# 参数5：回调函数名称，回调函数默认有一个表示当前值的参数
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cv2.createTrackbar('process', 'window', 1, int(frames), track_back)
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while(capture.isOpened()):

‎03-Open-Camera/cv2_play_video_from_file.py

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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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cv2.imshow('frame', gray)
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# cv2.waitKey(), 它的参数表示暂停时间，值越大，播放速度越慢。反之值越小，播放速度越快，一般定为 30
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if cv2.waitKey(30) == ord('q'):
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break

‎03-Open-Camera/cv2_save_video_to_file.py

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capture = cv2.VideoCapture(0)
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# 定义编码方式并创建VideoWriter对象
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# 定义编码方式并创建 VideoWriter 对象
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fourcc = cv2.VideoWriter_fourcc(*'MJPG')
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# fourcc = cv2.VideoWriter_fourcc('M','J','P','G')
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# VideoWriter 四个参数
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# 输出文件名，如 'output.avi'
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# 编码方式 FourCC 码
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# 帧率 FPS
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# 要保存的分辨率大小
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outfile = cv2.VideoWriter('output.avi', fourcc, 25., (640, 480))
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while(capture.isOpened()):

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