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- #!/usr/bin/env python
- '''
- VideoCapture sample showcasing some features of the Video4Linux2 backend
- Sample shows how VideoCapture class can be used to control parameters
- of a webcam such as focus or framerate.
- Also the sample provides an example how to access raw images delivered
- by the hardware to get a grayscale image in a very efficient fashion.
- Keys:
- ESC - exit
- g - toggle optimized grayscale conversion
- '''
- # Python 2/3 compatibility
- from __future__ import print_function
- import numpy as np
- import cv2 as cv
- def main():
- def decode_fourcc(v):
- v = int(v)
- return "".join([chr((v >> 8 * i) & 0xFF) for i in range(4)])
- font = cv.FONT_HERSHEY_SIMPLEX
- color = (0, 255, 0)
- cap = cv.VideoCapture(0)
- cap.set(cv.CAP_PROP_AUTOFOCUS, 0) # Known bug: https://github.com/opencv/opencv/pull/5474
- cv.namedWindow("Video")
- convert_rgb = True
- fps = int(cap.get(cv.CAP_PROP_FPS))
- focus = int(min(cap.get(cv.CAP_PROP_FOCUS) * 100, 2**31-1)) # ceil focus to C_LONG as Python3 int can go to +inf
- cv.createTrackbar("FPS", "Video", fps, 30, lambda v: cap.set(cv.CAP_PROP_FPS, v))
- cv.createTrackbar("Focus", "Video", focus, 100, lambda v: cap.set(cv.CAP_PROP_FOCUS, v / 100))
- while True:
- _status, img = cap.read()
- fourcc = decode_fourcc(cap.get(cv.CAP_PROP_FOURCC))
- fps = cap.get(cv.CAP_PROP_FPS)
- if not bool(cap.get(cv.CAP_PROP_CONVERT_RGB)):
- if fourcc == "MJPG":
- img = cv.imdecode(img, cv.IMREAD_GRAYSCALE)
- elif fourcc == "YUYV":
- img = cv.cvtColor(img, cv.COLOR_YUV2GRAY_YUYV)
- else:
- print("unsupported format")
- break
- cv.putText(img, "Mode: {}".format(fourcc), (15, 40), font, 1.0, color)
- cv.putText(img, "FPS: {}".format(fps), (15, 80), font, 1.0, color)
- cv.imshow("Video", img)
- k = cv.waitKey(1)
- if k == 27:
- break
- elif k == ord('g'):
- convert_rgb = not convert_rgb
- cap.set(cv.CAP_PROP_CONVERT_RGB, 1 if convert_rgb else 0)
- print('Done')
- if __name__ == '__main__':
- print(__doc__)
- main()
- cv.destroyAllWindows()
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