Pandas might be a bit more popular than MKVToolnix. We know about 197 links to it since March 2021 and only 185 links to MKVToolnix. 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: 5 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: 10 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: 10 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: 10 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: 10 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 1 day ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / about 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 4 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 / 5 months ago
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential. - Source: dev.to / 5 months ago
HandBrake - HandBrake allows users to easily convert video files into a wide variety of different formats.
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...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
tsMuxeR - tsMuxeR update for 3D blu-ray (HD) DVD & Blu-ray authoring
OpenCV - OpenCV is the world's biggest computer vision library