mmf | Video transcoding ffmpeg frontend in Python | Video Utils library

There are two processes: one written in C++ and the other written in C#.

Simply, C++ process will create a file name "test.dat", map the file to its memory, and keep on writing on it.

C# process on the other hand will open the file and read whenever there is a change on the memory.

The problem is that on the C# end, it does not let me open the file. (IOException saying the other process is in use"

Here is what I've tested.

Currently I am working on Named Entity Recognition in the medical domain using Camembert, precisely using the model: TFCamembert.

However I have some problems with the fine-tuning of the model for my task as I am using a private dataset not available on Hugging Face.

The data is divided into text files and annotation files. The text file contains for example:

I often have to work with a text file that serves as input to a scientific model for water quality. The files are pretty long and always have the same named title sections, so it is possible to search them and set marks to be able to easily jump between sections in Vim.

Is it possible to automate the process of creating these marks from .vimrc? So far I have managed to create a macros that searches the section headers and creates the marks automatically when opening these files:

I have multiple cameras in my Windows 11 system and I am wondering how to get all avaiable resolutions for them. I am not intending to make a video capture, but I am willing to just get these properties.

Also, I don't care which API to use, be it DirectShow or MMF (Microsoft Media Foundation). I haven't used any of these before either.

I have found multiple resources doing that in C# (as in here), but similar suggested answers for C++ are hard to understand - some code is given, but what libraries and 'includes' used is not given (as in here)

I have also checked DirectShow samples in hope something would be there, but I didn't find anything.

So, I checked MMF as well (1, 2, 3) and docs, but all posts seem pretty outdated and no full code is given showing how to use certain functions alongside proper 'includes', as trying the code gives me unresolved symbols.

So I am kind of stuck at the moment, I can't find a solution to this.

I would appreciate any help.

I have a dictionary for a product I have been scraping on this website: https://www.adamhall.com/shop/gi-en/cables-connectors/pre-assembled-cables/microphone-cables/3323/4-star-mmf-1000 I get the image links as a list into a product dictionary, which I want to import into a DataFrame as a cell value in the column images. However, the output makes the data frame have as many rows as there are image links.

Here is my code so far:

I need to load data of sparse matrix form (MMF) file, then carry out a linear algebra operation on that matrix. The MMF file is in the following form:

I am trying to extract both mass and stiffness sparse matrices from modal analysis using ANSYS 15 software, i used next code :

I have this code below that is able to download multiple parts of a file in parallel and writes them using a memory mapped file. The problem is occurring in the DownloadFile() function. The file is starting downloads properly, but it is getting corrupted along the way. For example, if I try to download a image, sections of it will be corrupted. I'm not sure if this is from some kind of race conduction in the code or if it has something to do with the content range calculations of the parts. Any help on how or were the issue is occurring would be appreciated, thanks!

Minimal, Reproducible Example:

I am using a boost::interprocess::deque with a memory_mapped_file as a file buffer that lets data survive reboots etc.

I am creating the buffer like this: