Search Results for "time track multiple task"

Anime4KCPP provides an optimized bloc97's Anime4K algorithm version 0.9, and it also provides its own CNN algorithm ACNet, it provides a variety of way to use, including preprocessing and real-time playback, it aims to be a high-performance tool to process both image and video. This project is for learning and the exploration task of the algorithm course in SWJTU. Anime4K is a simple high-quality anime upscale algorithm. Version 0.9 does not use any machine learning approaches and can be...

PyTube Downloader lets you quickly download YouTube videos and playlists with one click. Choose from 144p to 8K quality and download multiple videos simultaneously. PyTube Downloader 让你轻松一键下载 YouTube 视频和播放列表。支持选择 144p 到 8K 的质量，并支持同时下载多个视频。

Scanning albums is not an easy task, since the extraction of actual photographs within scans is usually very tedious. This tool allows you to scan as much as you can fit into your scanner and then semi-automatedly extract the contained photographs. The tool also allows to extract scans of multiple single photographs (i.e. without album) Find a full documentation here: http://dominik-ruess.de/scannerExtract/ Note: The scanning itself is the most time consuming part. ...

Unlike other 3D modeling packages, this 3D Model Editor gives you precise control over texture mapping at the time each three-dimensional object is created. Instead of creating a model and then applying a texture to it, you create the model by drawing it directly on the texture. Textures are embedded in saved model files so there is no problem with models getting separated from their textures. You can extract the textures any time and save them to bitmap files, modify and reload them into...

This is an open-source real-time object detection and tracking software for H.264/AVC videos. It applies probabilistic spatiotemporal macroblock filtering (PSMF) and partial decoding processes to effectively detect and track multiple objects with fast computation in H.264|AVC bitstreams with stationary background. The codes were written in Visual C++. For more details, please visit https://www.wonsangyou.com/research/aivision.