Notes on Installing Microsoft Azure Kinect Sensor and Body Tracking SDKs on Linux PC and NVIDIA Jetson Xavier NX
06.12.2020
Jump to:
Robert Twomey roberttwomey
golanlevin
/ amiga_kickstart.pde
Created
April 2, 2021 05:34
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| // Quick-and-dirty Processing v.3.5.4 program to render the Amiga Kickstart vector art, as described here: | |
| // https://retrocomputing.stackexchange.com/questions/13897/why-was-the-kickstart-1-x-insert-floppy-graphic-so-bad | |
| // Note: this program ignores the flood fills and colors. | |
| // Processing program by Golan Levin, 4/1/2021. | |
| // Amiga artwork by Sheryl Knowles. | |
| void setup() { | |
| /* | |
| * Rendering algorithm: |
madelinegannon
/ setup-azure-kinect-on-jetson-x-nx.md
Last active
June 17, 2024 20:40
Notes on Setting up the Microsoft Azure Kinect on Ubuntu 18.04
Probably the most straight forward way to start generating Point Clouds from a set of pictures.
VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.
For dense reconstruction, this program supports Yasutaka Furukawa's PMVS/CMVS tool chain, and can prepare data for Michal Jancosek's CMP-MVS. In addition, the output of VisualSFM is natively supported by Mathias Rothermel and Konrad Wenzel's [SURE]