basis_universal

GPU memory). Those hardware-compressed texture formats rule out any of the popular image formats like JPEG, PNG etc... that might have a better overall compression, but are hard to decode on the fly to one of the hardware texture formats (but there are now alternatives like https://github.com/BinomialLLC/basis_universal), but even a generic lossless compressor (even good old zip) on top of BCx is already a good start.

l are loaded, the scene runs at 60fps on just about any device. I want it to feel _fast_ and terrain, imagery, or feature data loading and unloading breaks that feeling. - Compressed textures for imagery. In order to successfully load some of the larger scenes and to reduce imagery file sizes, I use basis_universal[4] texture compression. It's perfect for this sort of imagery: the reduced quality isn't too discernable and you get 8:1 reduction in on-GPU memory usage against standard RGBA images. - Hand coded DEM compression. I hand rolled a DEM compression algorithm based on the ideas behind QOI[5]. It turned out to hardly be necessary because the poor quality of DEMs available in the Sierra Nevada make their size immaterial compared to imagery. That said, it was a successful effort insofar as it achieved better than bzip2 compression with O(n) encode/decode times. - 3D-scene rectified photos. For the first third of the project I was manually hand rectifying photos into the 3D activity view[2], but, in the end, this was taking too much time day-to-day. This has been my passion project for the last six months or so and, as someone who has climbed 89 of these peaks over 20+ years, it has been a real joy chronicling these guys' amazing efforts. I hope you enjoy it. Any and all feedback welcome… thanks. [1] - https://www.sps2022.com [2] - https://www.sps2022.com/activity/7016024405, let it load then hit the play button! [3] - https://www.sps2022.com/post/3d [4] - https://github.com/BinomialLLC/basis_universal [5] - https://qoiformat.org/