Search Results for "gpu-z"

...Hundreds of built-in sprites, sounds, and fonts. Program in PyxlScript, a friendly Python-like language. Order-independent, 4-bit alpha transparency. Native 2.5D graphics with z-order.

...Main site: https://nebios.org 📌 This mirror page is updated less frequently than the main site. For the latest information, visit https://nebios.org ⚠️ Don't download from unknown sources. ⚠️ Virtual machines: NebiOS X requires GPU acceleration. Most hypervisors (VirtualBox, VMware, GNOME Boxes) will show degraded performance. QEMU with 3D acceleration enabled gives the best VM experience. See FAQ for details. System requirements and pre-installation info: https://nebios.org/download (select your version) Full FAQ: https://nebios.org/support/faq

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. ...

...By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a...

An Open Community in the Home Automation and Domotics space. We believe an Open Source approach can revolutionize the way people create, install, and maintain software in the industry. Our panel technology integrates with your favorite protocol and runtime hardware through Open Source software. We open up the front-end and support a unified panel and visual programming model. An installer can pick and choose hardware products from different vendors and still present one panel UI to the...

Early version of Manjaro-Arm (experimental) with a Mate desktop for Raspberry Pi 2/3 is ready for testing. Just like Lxqt, this edition is based on Manjaro-Arm 16.08 Minimal. Except for standard GPU and sound drivers it contains a set of basic applications: DE - Mate 1.16 (Gtk2) Display Manager - Lxdm Internet - Firefox, x11vnc Multimedia - Kodi (works on click ;) ) Apps - Mate basic applications (Atril, Engrampa, Eol, Mate-terminal...) (Pamac and xscreensaver are not added intentionally - waste of system resources) Others: - GPU change from 64 MB to 192 MB - Auto-login to the system - Automatic installation of external devices - Optimization of themes, icons, widgets and fonts - Remote communication: SSH: sudo ssh manjaro@ip_adress VNC: sudo x11vnc --display :0 -auth guess