Search Results for "nvidia"

...This modular design ensures that the encoder remains adaptable and expandable, allowing for the addition of new and future encoding technologies. Internet Friendly Media Encoder also supports hardware acceleration from Intel, AMD, and NVidia for encoding in H264, H265, and AV1 formats.

...The GUI was designed to provide a stunning experience powered by state-of-the-art technologies without feeling clunky and outdated like other alternatives. It features blazing-fast TensorRT inference by NVIDIA, which can speed up AI processes significantly. Pre-packaged, without the need to install Docker or WSL (Windows Subsystem for Linux) - and NCNN inference by Tencent which is lightweight and runs on NVIDIA, AMD and even Apple Silicon - in contrast to the mammoth of an inference PyTorch is, which only runs on NVIDIA GPUs.

Replacing DLSS 2.x with FSR 2.1.2 for various games such as Cyberpunk 2077, Red Dead Redemption 2, etc. It includes a DLL wrapper/injector (winmm.dll) to disable Nvidia GeForce RTX GPU checking, so AMD Radeon / Nvidia GTX users can enjoy the mod. Download the latest relase from Release Page. Extract the contents of the archive next to the game EXE file in your games folder. Make sure the game is running in DX12 mode. Download the latest relase from Release Page. Extract the contents of the archive next to the game EXE file in your games folder.

We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX 1080Ti GPU. Unlike most existing methods that perform video matting frame-by-frame as independent images, our method uses a recurrent architecture to exploit temporal information in videos and achieves significant improvements in temporal coherence and matting quality. Furthermore, we propose a novel training strategy that enforces our network on both matting and segmentation objectives. ...

Super-resolution using a CNN, based on the work of the DGtal team. First of all, an Nvidia graphics card (neither AMD nor Intel integrated) is highly recommended to parallelize the CNN. You will then need to install CUDA. No CUDA = dozens of times slower. This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test batch and lrto the learning rate. ...

GLMixer performs real time graphical blending of several movie clips and of computer generated graphics. Drop video files in the mixing workspace and place them in a circular area to change their opacity ; if you selects two videos, moving them together performs a fading transition. This principle generalizes to a large number of videos. Direct interaction with the video allows to be fast and reactive, and to move and deform them on screen. The output of your operations is shown in the...

Parallel implementation of Video Magnification aiming Nvidia CUDA platform. Based on http://people.csail.mit.edu/mrub/vidmag/

ENDUCE - nVidia Driver Updater and Configuration Endline. ENDUCE will attempt to install/update your nVidia drivers (or any other proprietary driver) and then configure it. It will also fix any errors in the xorg.conf file on your computer.

A set of simple command-line userspace utilities to read and change settings of videocard and monitor (such as brightness, contrast) using official closed nVidia X11 drivers for Linux.

This is a tool to enable TV-Out on Linux for NVidia cards. It does not need the kernel, supports multiple TV encoder chips. You may use all the features of the chip, down to direct register access, and all resolutions and sizes the chip supports.

The aim of the project is to make possible to use video-in functionality of nVidia cards for Linux users.