Based on our record, OpenCV seems to be a lot more popular than tsMuxeR. While we know about 50 links to OpenCV, we've tracked only 3 mentions of tsMuxeR. 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.
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 / 5 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: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 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: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 12 months ago
Dolby Vision supplements the HDR data already present in a video. For example, when you buy a Blu-ray disc that supports Dolby Vision, the disc contains several m2ts files containing HEVC encoded videos. Present within the HEVC stream is also the metadata, which supplies metadata for each frame. To see what this data is, I used[1], and then got the info for frame 1000 and saved it as a json in this [2] pastebin.... - Source: Hacker News / over 1 year ago
Clsid has continued to maintain MPC-HC after the original development team stopped due to a lack of interest back in 2017 (v1.7.13 being the last release). See: https://forum.doom9.org/showthread.php?t=175209. - Source: Hacker News / almost 2 years ago
Anecdote: I'm typing this on a 2013 Xeon (Haswell E3v3), and it's acceptable for web/productivity, but the x265 encode performance is absolutely abysmal compared to newer CPUs, especially AMD's. GPU encoding is good for ephemeral streams, but good archival encoding is all CPU-bound: https://forum.doom9.org/showthread.php?p=1908148#post1908148 """Luckily""" for me I do mostly standard-definition encodes and can get... - Source: Hacker News / almost 3 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
MKVToolnix - MKVToolnix is a set of tools to create, alter and inspect Matroska files under Linux, other Unices...
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
MKVCleaver - MKVcleaver is a GUI (Graphical User Interface) for mkvtoolnix, designed to extract data from MKV...
NumPy - NumPy is the fundamental package for scientific computing with Python
Mkv2vob - Converts mkv files and srt subtitles into a format readable by the Playstation 3.