Comments (2)
I agree. I updated to avoid this.
Primary usage is to try to grab the most recent frame for asynchronous work. Unfortunately, opencv-python doesn't seem to support buffer management (that answer is incorrect, you can't set the buffer size). As a workaround, and to avoid adding additional threads or inline trying to empty the buffer before every read, I closed the connection instead.
Let me know if you have an idea to limit that CV buffer
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if you read slower than data is generated, that's a problem that should be addressed properly.
proper solution is to either run a thread that continuously receives and keeps the most recent frame around, or to use a library that's made for this (ffmpeg, gstreamer, directshow...). OpenCV is a library for computer vision, not a media API.
OpenCV seems open to having its videoio module improved. they (Intel) won't spend time on that themselves because they focus their efforts on the actual purpose of OpenCV.
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Related Issues (20)
- Authentication HOT 1
- Version 2 release date ? HOT 1
- Can't Set CV_CAP_PROP_BUFFERSIZE HOT 3
- Bad URI Parsing
- Can't Read Stream Properties
- No Easy Direct Stream Access
- Lack of Logging Support
- Assertion fctx->async_lock failed at libavcodec/pthread_frame.c:155 HOT 3
- Clean up README and main Docstring HOT 1
- module "rtsp" has no attribute "Client" HOT 2
- How can I get NTP time HOT 2
- Timeout and try catch HOT 2
- object has no attribute 'save' HOT 7
- add support for hikvision HOT 2
- Better Test for Buffer Drainage HOT 1
- Keep RTSP connection alive HOT 6
- [Question] Would an asyncio rtsp stream reader make sense? HOT 1
- Get the byteArray HOT 1
- None frames are not caught HOT 1
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