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A desktop application that monitors folders and automatically encodes video files using HandBrakeCLI. Built with Python and PySide6 (Qt), it supports GPU-accelerated encoding via NVIDIA NVENC as well ...

Abstract: Deep auto-encoders (AEs) are widely employed deep learning methods in the field of anomaly detection across diverse domains (e.g., cybersecurity analysts managing large volumes of alerts, or ...

We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation—like the ...

If you use Python, you cannot avoid saving and transferring data. "How do I save configuration files?" "How should I handle data received from an API?" "Can I save dictionaries and lists as they are?" ...

An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...

With the basic structure and parameters of the model remaining unchanged, this section analyzes and compares two types of network structures with input image sizes of 128 × 128 and 256 × 256. The ...

Modern image and video generation methods rely heavily on tokenization to encode high-dimensional data into compact latent representations. While advancements in scaling generator models have been ...

Artificial neural networks (ANN) have gained significant attention in magnetotelluric (MT) inversions due to their ability to generate rapid inversion results compared to traditional methods. While a ...

ABSTRACT: One exciting area within computer vision is classifying human activities, which has diverse applications like medical informatics, human-computer interaction, surveillance, and task ...