- PCLをGitからクローンする。(C:\PCL-1.10.0)
https://github.com/PointCloudLibrary/pcl/tree/pcl-1.10.0
3rdParty
ffprobe -v quiet -print_format json -show_format -show_streams "lolwut.mp4" > "lolwut.mp4.json" |
3rdParty
<?xml version="1.0" encoding="utf-8"?> | |
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003"> | |
<ImportGroup Label="PropertySheets"/> | |
<!-- User Macros --> | |
<PropertyGroup Label="UserMacros"> | |
<PCL_ROOT Condition="'$(Platform)'=='Win32'">$(ProgramFiles)\PCL 1.7.2</PCL_ROOT> | |
<PCL_ROOT Condition="'$(Platform)'=='x64'">$(ProgramW6432)\PCL 1.7.2</PCL_ROOT> | |
</PropertyGroup> |
# -*- coding: utf-8 -*- | |
"""Make Mayavi plots inline to ipython notebooks | |
Imports mayavi and mlab and adds them to interpreter namespace. Loading | |
this extension also sets up inline matplotlib (aka `%matpotlib inline`) | |
and sets offscreen rendering on linux. | |
Note: | |
Offscreen rendering on OS X doesn't seem to work, but on linux, | |
inline plots don't work without offscreen rendering. "Don't work" |
This method avoids merge conflicts if you have periodically pulled master into your branch. It also gives you the opportunity to squash into more than 1 commit, or to re-arrange your code into completely different commits (e.g. if you ended up working on three different features but the commits were not consecutive).
Note: You cannot use this method if you intend to open a pull request to merge your feature branch. This method requires committing directly to master.
Switch to the master branch and make sure you are up to date:
The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.
The correct way of creating a private frok by duplicating the repo is documented here.
For this assignment the commands are:
git clone --bare [email protected]:usi-systems/easytrace.git
Find the proper driver at the NVidia website.
Note: Make sure to select "Linux 64-bit" as your OS
Hit the "Search" button.
Scalable Vector Extensions (SVE) is ARM’s latest SIMD extension to their instruction set, which was announced back in 2016. A follow-up SVE2 extension was announced in 2019, designed to incorporate all functionality from ARM’s current primary SIMD extension, NEON (aka ASIMD).
Despite being announced 5 years ago, there is currently no generally available CPU which supports any form of SVE (which excludes the [Fugaku supercomputer](https://www.fujitsu.com/global/about/innovation/
These instructions are meant for a system with EFI, systemd-boot and deb based packages. Adjust them to your needs.
Reference: https://www.kernel.org/doc/Documentation/acpi/initrd_table_override.txt
See also https://github.com/lbschenkel/acer-sf314_43-acpi-patch