#!/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, False) # 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, convert_rgb) print('Done') if __name__ == '__main__': print(__doc__) main() cv.destroyAllWindows()