Based on our record, OpenCV seems to be a lot more popular than MistServer. While we know about 51 links to OpenCV, we've tracked only 1 mention of MistServer. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 25 days ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 6 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 11 months ago
We managed to do it using OBS and a program running on my raspberry pi 3 called MistServer, as well as my audio mixer to mute the browser source on my end and a dynamic dns app. This all being said, the friend I was spitballing with was able to get a hold of a private beta build to help it work smoothly on the pi. The fixes in this should be available later this year in the OSS (free) version, though you might be... Source: over 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Ant Media Server - Scalable, Ultra Low Latency & Adaptive WebRTC Streaming Ant Media Server provides Scalable Ultra-low latency (0.5 seconds) Adaptive Live Streaming with WebRTC. It supports RTMP, RTSP, Zixi, WebRTC, Adaptive Bitrate, HLS and MP4 recording.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Kurento - Kurento is an open source software development framework providing a media server written in C/C++...
NumPy - NumPy is the fundamental package for scientific computing with Python
Red5 - Red5 is an open source Flash media server for live streaming solutions of all kinds.