Search Results for "work tracking"

Excalidraw, the virtual whiteboard app for sketching hand-drawn like diagrams, has come a long way. With the remote work becoming the status quo, Excalidraw was able to show its true potential and we’ve come to a point where over 100K people have used it just the last month! While it has been extremely successful as a free open source project, the biggest source of complaints nowadays is around adoption within companies: How do you share diagrams with your co-workers easily? Can your company...

frame.js is a tiny utility for orchestrating frame-based animations with requestAnimationFrame while keeping code clean and predictable. It abstracts the boilerplate of setting up a render loop, tracking elapsed time, and updating callbacks at the right cadence. By providing a simple lifecycle—start, stop, tick—it encourages separation between state updates and rendering, which is essential for smooth visuals. The library aims to be unobtrusive: you can drop it into demos or prototypes without adopting a large framework. Because it centralizes timing, it becomes easier to coordinate multiple animated elements or throttle work on low-power devices. ...

...But thanks to the featured helpers, examples and boilerplates, you can quickly deal with a higher level context (for motion head tracking, for face filter or face replacement). We continuously add new demonstrations, so stay tuned!

This work extends 3DDFA, named 3DDFA_V2, titled Towards Fast, Accurate and Stable 3D Dense Face Alignment, accepted by ECCV 2020. The supplementary material is here. The gif above shows a webcam demo of the tracking result, in the scenario of my lab. This repo is the official implementation of 3DDFA_V2. Compared to 3DDFA, 3DDFA_V2 achieves better performance and stability.

GEDI (Groundtruthing Environment for Document Images) is a highly configurable document image annotation tool. Its basic structure involves two types of files, an Image file, and a corresponding .XML file in GEDI format. LAMP Univ of MD, College Park, MD

...The Wiener filter problem is to reduce the amount of noise present in a signal by comparison with an estimation of the desired noiseless signal. The discrete-time equivalent of Wiener's work was derived independently by Kolmogorov and published in 1941. Hence the theory is often called the Wiener-Kolmogorov filtering theory. In these examples the signal processes is the movement of the mouse and random data. While a simple application the algorithm can have numerous applications including image smoothing, edge tracking and optical flow to name a few.