sneakers-the-rat

# --------------------------------------------------------------------
# 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,

d4rkeagle65

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

mihaidusmanu

Compiling COLMAP on Leonhard

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.

Modules and Paths

Create a file called colmap_startup.sh in your home directory containing the following:

export DATA=/cluster/project/infk/cvg/$USER

ylegall

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

ylegall

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

FilippoGraziano98

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

xmodar

# 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()

rjhansen

SKS Keyserver Network Under Attack

This work is released under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Terminological Note

"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.

Who am I?

serycjon

# -*- coding: utf-8 -*-
from __future__ import print_function

import os
import sys
import argparse
import tqdm

import tensorflow as tf

mvsde

Android Volume Steps

Warning

This is a rather old guide and may or may not work with modern versions of Android.

Connect through ADB

1. Boot into TWRP
2. Connect device to computer
3. Terminal: List devices with adb devices