Utility AI inspired by 💖 @zkat https://github.com/zkat/big-brain/
Written for Bevy 0.14.
This library was written for my specific needs, it doesn't support all the features of big brain, and I would probably still change things if I needed to use it more in future.
The upside is it's only 300 lines of code! So understanding what's happening & modifying it should be trivial.
| # -------------------------------------------------------------------- | |
| # Recursively find pdfs from the directory given as the first argument, | |
| # otherwise search the current directory. | |
| # Use exiftool and qpdf (both must be installed and locatable on $PATH) | |
| # to strip all top-level metadata from PDFs. | |
| # | |
| # Note - This only removes file-level metadata, not any metadata | |
| # in embedded images, etc. | |
| # | |
| # Code is provided as-is, I take no responsibility for its use, |
| Set-ItemProperty HKLM:\SOFTWARE\Policies\Microsoft\Windows\System -Name 'AllowDomainPINLogon' -Value 0 | |
| Set-ItemProperty HKLM:\SOFTWARE\Microsoft\PolicyManager\default\Settings\AllowSignInOptions -Name 'value' -Value 0 | |
| New-Item -Path 'HKLM:\SOFTWARE\Policies\Microsoft\' -Name 'Biometrics' -Force | |
| New-ItemProperty -Path 'HKLM:\SOFTWARE\Policies\Microsoft\Biometrics' -Name 'Enabled' -Value 0 -PropertyType Dword -Force | |
| New-Item -Path 'HKLM:\SOFTWARE\Policies\Microsoft\' -Name 'PassportforWork' -Force | |
| New-ItemProperty -Path 'HKLM:\SOFTWARE\Policies\Microsoft\PassportforWork' -Name 'Enabled' -Value 0 -PropertyType Dword -Force | |
| Start-Process cmd -ArgumentList '/s,/c,takeown /f C:\Windows\ServiceProfiles\LocalService\AppData\Local\Microsoft\NGC /r /d y & icacls C:\Windows\ServiceProfiles\LocalService\AppData\Local\Microsoft\NGC /grant administrators:F /t & RD /S /Q C:\Windows\ServiceProfiles\LocalService\AppData\Local\Microsoft\Ngc & MD C:\Windows\ServiceProfiles\LocalService\AppData\Local\Microsoft\Ngc & icacls C:\Wi |
This is a short tutorial for compiling COLMAP on Leonhard with GCC 6.3.0. Qt installation is quite large so COLMAP cannot be compiled in the home directories.
Create a file called colmap_startup.sh in your home directory containing the following:
export DATA=/cluster/project/infk/cvg/$USER
| package org.ygl.openrndr.demos | |
| import org.openrndr.application | |
| import org.openrndr.color.ColorRGBa | |
| import org.openrndr.draw.DrawPrimitive | |
| import org.openrndr.draw.VertexElementType | |
| import org.openrndr.draw.renderTarget | |
| import org.openrndr.draw.shadeStyle | |
| import org.openrndr.draw.vertexBuffer | |
| import org.openrndr.draw.vertexFormat |
| package org.ygl.openrndr.demos | |
| import org.openrndr.application | |
| import org.openrndr.color.ColorRGBa | |
| import org.openrndr.color.mix | |
| import org.openrndr.color.rgb | |
| import org.openrndr.draw.LineCap | |
| import org.openrndr.draw.LineJoin | |
| import org.openrndr.extra.compositor.compose | |
| import org.openrndr.extra.compositor.draw |
| def xxxx(x): | |
| if x < 0 : | |
| return 1 | |
| xx = 0 | |
| for xxx in range(10): | |
| xx += xxxx(x-1-xxx) | |
| return xx | |
| xxxxxx = [0x370, 0x3aa, 0x1d3, 0x1f8, 0xaa, 0x244, 0x324, 0x2ad, 0x226, 0x224, 0x3dc, 0x2a9, 0x96, 0x13b, 0x9b, 0x251, 0x1e1, 0x7b, 0x317, 0x14f, 0x239, 0x29d, 0x18e, 0xac, 0x18e, 0x33a, 0x35, 0x45, 0x8b, 0xc0, 0x38e, 0x9e, 0x10d, 0x38c, 0x3cd, 0x193, 0x190, 0x16e, 0x35a, 0x5f, 0x66, 0x18d, 0x38, 0x3ce, 0x3c8, 0x239, 0xb4, 0x3b6, 0x3fb, 0x18d, 0xa9, 0x3fe, 0x32, 0x3a2, 0x25c, 0x90, 0x213, 0x3fb, 0x18b, 0x84, 0x2ba, 0x3e7, 0x32f, 0x327, 0x28f, 0x89, 0x20f, 0x10, 0x29, 0x35f, 0xbd, 0x32a, 0x2af, 0x1d5, 0x2d5, 0xd2, 0x88, 0x106, 0x3b9, 0x180, 0x240, 0x10d, 0x2c7, 0x5d, 0x1a1, 0x269, 0x185, 0x111, 0x327, 0x3c9, 0x21b, 0x4f, 0x37a, 0x233, 0x66, 0x148, 0xf5, 0x29e, 0x289, 0x284, 0x3a9, 0x122, 0x211, 0x33a, 0x17, 0xae, 0x33b, 0x1f1, 0x12f, 0x97, 0x23e, 0x11b, 0x140, 0x185, 0x2c1, 0x219, 0x1a, 0x23d, 0x35c, 0x20a, 0x309, 0x1a5, 0x189, 0x143, 0x142, 0x2dd, 0x14, 0x258, 0x2f9, 0x9b, 0x2e7, 0x396, 0x25b, 0x1ab, 0x297, 0x |
| # https://github.com/pytorch/pytorch/issues/19037 | |
| # https://discuss.pytorch.org/t/covariance-and-gradient-support/16217 | |
| def cov(tensor, rowvar=True, bias=False): | |
| """Estimate a covariance matrix (np.cov)""" | |
| tensor = tensor if rowvar else tensor.transpose(-1, -2) | |
| tensor = tensor - tensor.mean(dim=-1, keepdim=True) | |
| factor = 1 / (tensor.shape[-1] - int(not bool(bias))) | |
| return factor * tensor @ tensor.transpose(-1, -2).conj() |
This work is released under a Creative Commons Attribution-NoDerivatives 4.0 International License.
"OpenPGP" refers to the OpenPGP protocol, in much the same way that HTML refers to the protocol that specifies how to write a web page. "GnuPG", "SequoiaPGP", "OpenPGP.js", and others are implementations of the OpenPGP protocol in the same way that Mozilla Firefox, Google Chromium, and Microsoft Edge refer to software packages that process HTML data.
| # -*- coding: utf-8 -*- | |
| from __future__ import print_function | |
| import os | |
| import sys | |
| import argparse | |
| import tqdm | |
| import tensorflow as tf |