But I can judge from the display that the result is the same. Logitech camera settings Logitech webcam settings. Using chrono-STL-functions to measure the time unforntunately lead to an internal compiler error. Make sure you adjust while seated in the position you intend to stream from. Std::cerr << "Frame is empty." << std::endl
Setting the DEBUG environment variable does not produce any additional logging info.
#LOGITECH CAMERA SETTINGS PYTHON HOW TO#
Hardware acceleration might be an option, but I don't know how to get that into my opencv-python package :( The relevant portion of getBuildInformation() looks like this: Video I/O:ĭoes anyone have any pointers on how to improve video performance? I am at a loss as to what to do. I also tried the same loop in C++, it was just as slow. When disabling the RGB conversion with t(cv2.CAP_PROP_CONVERT_RGB, 0), the FPS also do not improve.
#LOGITECH CAMERA SETTINGS PYTHON CODE#
I've been looking around the capture backend code for quite a while, but I can't seem to figure out where the problem lies. Using CAP_MSMF as backend will deliver 30 FPS, but the video is just an upscaled version of a lower resolution stream, and sadly useless. Print(" per second".format(frames/time_sum))ĭisabling the imshow does not have a significant impact on performance. Here is my code: import cv2įourcc = cv2.VideoWriter_fourcc('M', 'J', 'P', 'G')Ĭt(cv2.CAP_PROP_FRAME_WIDTH, 3840)Ĭt(cv2.CAP_PROP_FRAME_HEIGHT, 2160)Īfter_timer = time.perf_counter() - before_timer The stream is very slow at the same exposure level.
Using OpenCV 4.1.0 in Python, this seems impossible. I have gotten a Logitech BRIO Webcam, which delivers nice smooth 30 fps of 4k images in the native Windows Camera App.
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