Instead of playing video and trying to display timing information next to it, how about we build a simulation based on timing data and become able to determine the state of the race at any given point in time based on the few 'radar blips' of sector loop passes we have?
This is that. It takes the video and timing material of a 24h race (The IMSA Weathertech Sportscar Championship ROLEX24 at Daytona 2024) - 4 videos hosted on YouTube and a big CSV of laptimes and reimagines how a race replay might look like.
It comes with a few non-standard visualizations, and a lot of possibilities for navigation, including navigation based on race events such as flag states, overtakes, pit stops etc.
It's a zig program based on raylib running in the browser thanks to emscripten, with a bit of js glue code to control the YouTube player. Ultimately, controlling replays is just one of the goal features of the tech stack. Live-Timing, Live-broadcast, and broadcast of sim-racing are other application areas where I see this being beneficial.
Race fans, Enjoy, I know I certainly do!
Comments URL: https://news.ycombinator.com/item?id=42765560
Points: 7
# Comments: 0
Chcete-li přidat komentář, přihlaste se
Ostatní příspěvky v této skupině
Hi HN, I’m Phil, one of the co-founders building emdash. Previously, I was an early engineer at Facebook and led Customer Products at Square.
We’ve focused on making chat and video work together


Article URL: https://arxiv.org/abs/1601.01229
Comments URL: https://news.ycombinator.c

Article URL: https://github.com/deepseek-ai/profile-data
Comments URL: http

Article URL: https://github.com/deepseek-ai/DualPipe
Comments URL: https://news