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Based on our record, MKVToolnix should be more popular than OpenCV. It has been mentiond 185 times since March 2021. 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.
Fourth, try remuxing one of the problem files. Use the Multiplexer section of MKVToolNix. This will copy the contents to a new MKV file. It is like putting a letter in a new envelope when the original is damaged, but the pages inside are OK. Source: 4 months ago
If the audio tracks are displayed as unknown, the language flag needs to be set. Use tools such as MKVToolNix Header Editor to configure the language for audio & subtitle tracks. Source: 9 months ago
As for extracting tracks from MKVs, the low-level way would be to use ffmpeg directly (something like ffmpeg -i video.mkv -map 0:s:0 subtitle.sup would extract the first subtitle stream to a .sup file, the extension used for standalone PGS subtitles), but something like MKVToolNix can probably do it as well. That won't help you too much on its own though, since you now just have an external image-based subtitle... Source: 9 months ago
You could use a tool outside of Plex (like MKVToolNix) to combine the video+audio of one version with the audio+subtitles of the other. It gets trickier, or at least more tedious, if the videos aren't exactly the same, since you'd then have to account for any audio/subtitle shifting. Source: 9 months ago
Option 3: Change to MKV container. Use MKVToolNix or similar tools and remux to a MKV container. Note that this may cause problems with Dolby Vision. LG TVs must have Dolby Vision in a MP4 container, otherwise the video will not play correctly. Probably affects other Plex clients as well. Source: 9 months 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 / 4 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: 4 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 8 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: 8 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: 10 months ago
HandBrake - HandBrake allows users to easily convert video files into a wide variety of different formats.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
FFmpeg - Open source multimedia suite for conversion, playback, profiling, and streaming.
NumPy - NumPy is the fundamental package for scientific computing with Python
MKVCleaver - MKVcleaver is a GUI (Graphical User Interface) for mkvtoolnix, designed to extract data from MKV...
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.