由于毕业设计涉及到对视频的帧处理,所以需要学习一个python的库来实现对视频的处理
一、安装
pip3 install opencv-python
二、读取图片
import cv2
img=cv2.imread("/Users/zixiluo/Documents/test.png")#读取图片
cv2.imshow("image",img)#打开一个名为“image”的窗口并展示图片
cv2.waitKey(0)#不加这句窗口会一闪就关闭
cv2.destroyAllWindows()#使用后释放窗口是好习惯
三、读取视频
import cv2
cap=cv2.VideoCapture("/Users/zixiluo/Documents/test.avi")
while(1):
# get a frame
ret, frame = cap.read()
# show a frame
cv2.imshow("capture", frame)
if cv2.waitKey(100) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
四、获取视频属性
print ("W:{}".format(cap.get(3)))#输出视频的宽度
print ("H:{}".format(cap.get(4)))#输出视频的高度
print ("frames:{}".format(cap.get(7)))#输出视频的总帧数
运行结果:
W:1920.0
H:1080.0
frames:912.0
get方法参数按顺序对应下表(从0开始编号
propId –
Property identifier. It can be one of the following:
- CV_CAP_PROP_POS_MSEC Current position of the video file in milliseconds or video capture timestamp.
- CV_CAP_PROP_POS_FRAMES 0-based index of the frame to be decoded/captured next.
- CV_CAP_PROP_POS_AVI_RATIO Relative position of the video file: 0 - start of the film, 1 - end of the film.
- CV_CAP_PROP_FRAME_WIDTH Width of the frames in the video stream.
- CV_CAP_PROP_FRAME_HEIGHT Height of the frames in the video stream.
- CV_CAP_PROP_FPS Frame rate.
- CV_CAP_PROP_FOURCC 4-character code of codec.
- CV_CAP_PROP_FRAME_COUNT Number of frames in the video file.
- CV_CAP_PROP_FORMAT Format of the Mat objects returned by
retrieve()
. - CV_CAP_PROP_MODE Backend-specific value indicating the current capture mode.
- CV_CAP_PROP_BRIGHTNESS Brightness of the image (only for cameras).
- CV_CAP_PROP_CONTRAST Contrast of the image (only for cameras).
- CV_CAP_PROP_SATURATION Saturation of the image (only for cameras).
- CV_CAP_PROP_HUE Hue of the image (only for cameras).
- CV_CAP_PROP_GAIN Gain of the image (only for cameras).
- CV_CAP_PROP_EXPOSURE Exposure (only for cameras).
- CV_CAP_PROP_CONVERT_RGB Boolean flags indicating whether images should be converted to RGB.
- CV_CAP_PROP_WHITE_BALANCE_U The U value of the whitebalance setting (note: only supported by DC1394 v 2.x backend currently)
- CV_CAP_PROP_WHITE_BALANCE_V The V value of the whitebalance setting (note: only supported by DC1394 v 2.x backend currently)
- CV_CAP_PROP_RECTIFICATION Rectification flag for stereo cameras (note: only supported by DC1394 v 2.x backend currently)
- CV_CAP_PROP_ISO_SPEED The ISO speed of the camera (note: only supported by DC1394 v 2.x backend currently)
- CV_CAP_PROP_BUFFERSIZE Amount of frames stored in internal buffer memory (note: only supported by DC1394 v 2.x backend currently)
五、抽帧显示
import cv2
cap=cv2.VideoCapture("/Users/zixiluo/Documents/test.avi")
print ("W:{}".format(cap.get(3)))
print ("H:{}".format(cap.get(4)))
count=cap.get(7)
while(count>0):
ret, frame = cap.read()
if count%5==0:
print(count)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imshow("capture", gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
count+=-1
cap.release()
cv2.destroyAllWindows()
此程序实现每读取五帧显示一帧