sokuhatiku

#
# This is the default config file. It allows all users to do anything,
# so don't use it on production systems.
#
# Look here for more config file examples:
# https://github.com/verdaccio/verdaccio/tree/master/conf
#

# path to a directory with all packages
storage: ./storage

frankbi

curl -L http://bit.ly/10hA8iC | bash

travisbrown

Elon Musk's suspension reversals

The tables below show notable Twitter suspension reversals for each day since Elon Musk took over as owner and CEO.

All dates indicate when the suspension or reversal was detected, and the actual suspension or reversal may have been earlier. For most English-language accounts with large followings, this lag will generally not be longer than a few hours, but for accounts that have a small number of followers or that are outside the networks we are tracking, the difference can be larger, and in some cases an account on the list may have had its suspension reversed before 27 October 2022. These dates will get more precise as we refine the report.

Because of these limitations, this report should be considered a starting point for investigation, not a definitive list of suspension reversals.

dbr

"""Test of finding Nuke's viewer widget, and intercepting the hardwired "c" shortcut and rewiring it to view the RGB channel
"""

from PySide import QtGui, QtCore


def findviewer():
    stack = QtGui.QApplication.topLevelWidgets()
    viewers = []
    while stack:

fredrikaverpil

"""Store function on node

Usage example:

    .. code-block::

        # Control node
        ctrl_node_name = 'MY_SCRIPT_NODE'  # if None, store on nuke.root()

        # Define your functions and add them to the dictionary

younesbelkada

import torch
import os
import json
import argparse

parser = argparse.ArgumentParser(description='Sharding Hugging Face models')
parser.add_argument('--sharding_factor', default=4, type=int, help='Sharding factor - aka how many shards to create')
parser.add_argument('--source_model_path', default="t5-v1_1-xl", type=str, help='Relative path to the source model folder')
parser.add_argument('--sharded_model_path', default="t5-v1_1-xl-sharded", type=str, help='Relative path to the target sharded model folder')
args = parser.parse_args()

jedypod

set cut_paste_input [stack 0]
push $cut_paste_input
Group {
 name PlanarProjection
 help "<b>Planar Projection</b>\nGenerates 2D coordinates for points in 3D space. Type in 3D point coordinates, or use vertex selection in 3D viewer and click set to pick average of selected points, or set points to set all four points at once. \n\nYou can connect node output to scene together with your pointcloud or geometry and see where your points are located in 3d space. Double click any of them to move it in 3d space like any traditional nuke transform control. \n\nA matrix transform is also generated to be used with RotoPaint, SplineWarp and GridWarp nodes. If you are using matrix in GridWarp, points have to be in clockwise order, pick them one by one! \n\nCommand set points doesn't respect selection order! \n\nCheck out the demo video on my website! Kudos to Ivan Busquets for help with matrix math. \n\n-- developed by Vit Sedlacek 2012 www.vitsedlacek.com \n\n-- Modified by Jed Smith to make calculation time nearly inst

jonathanelbailey

# this function grabs the iso image from the user supplied http location.
function get-isoimage{
    [CmdletBinding()]
    param(
        $uri,
        $workingfolder
    )
    begin{
        $file_name = $uri -replace "http://[\s\S]+\/([\s\S]+\.iso)$",'$1'
        $out_file = Join-Path $workingfolder -ChildPath $file_name

jaydenseric

Video conversion with FFmpeg

Install

On mac:

1. Download the latest release.
2. Extract the binary and place it in /usr/local/bin.

Command basics

jedypod

Nuke ffmpeg Render

Writeffmpeg is a python script and a node that allows you to render from Nuke directly into ffmpeg. Instead of a 2 step process where you render from Nuke to a temporary image sequence that you then transcode using ffmpeg, this solution writes to a single uint16 cache tiff file and this data gets piped into ffmpeg.

I've included a little to help demo how it works.

Files

ffmpeg_render.py Writeffmpeg.nk

Dependencies