Notes about gsplat / 3DGS: 3D Gaussian Splatting (~WIP)
I'm planning to turn this into an "awesome-gsplat" repository (https://github.com/sindresorhus/awesome) or a wiki on some repository.
Feel free to add comments to this gist for now.
I'm contiuining to update this, and will hopefully get to reformatting it with thumbnails and further information (especially on performance and capabilities of implementations).
| # py kapture-cropper.py -i dataset-kapture\ --border_px 0 --scale_factor 1 -v | |
| import kapture | |
| import kapture.io.csv as csv | |
| from PIL import Image | |
| from kapture.io.csv import kapture_to_dir | |
| import os, logging, argparse | |
| import kapture.utils.logging | |
| logger = logging.getLogger("kapture-cropper") |
| ## Unofficial Dockerfile for 3D Gaussian Splatting for Real-Time Radiance Field Rendering | |
| ## Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George Drettakis | |
| ## https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/ | |
| # Use the base image with PyTorch and CUDA support | |
| FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel | |
| # NOTE: | |
| # Building the libraries for this repository requires cuda *DURING BUILD PHASE*, therefore: |
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|---|
| Sam Altman at Station F - 26 May 2023 - Image source: the author |
I was privileged to attend a Fireside chat with Sam Altman, OpenAI’s CEO, on May 26 at Station F in Paris. This conversation was moderated by Roxanne Varza, the Director of Station F. For those unable to attend, I've compiled a selection of verbatim questions from the session in an easy-to-navigate format.
While Sam Altman’s European tour is covered in the press, I think it can be interesting to present the 'raw' conversations on these topics that can clearly be of public interest. Some headlines may give the impression that Altman's positions are inconsistent. But, actually listening to Altman, whether or not you agree with all his views (I don't), it is clear he’s not just spouting nonsense wherever he goes
| """ | |
| MIT License | |
| Copyright (c) [year] [fullname] | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is |
| """ | |
| BEGIN GPL LICENSE BLOCK | |
| (c) Dealga McArdle 2012 / blenderscripting.blogspot / digitalaphasia.com | |
| This program is free software; you may redistribute it, and/or | |
| modify it, under the terms of the GNU General Public License | |
| as published by the Free Software Foundation - either version 2 | |
| of the License, or (at your option) any later version. |
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
