jedypod

set cut_paste_input [stack 0]
push $cut_paste_input
Group {
 name CornerPinMatrix
 help "<b>PlanarProjection</b>\n\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. You 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.\n\nIf you are using matrix in GridWarp, points have to be in clockwise order, pick them one by one! Command set points doesn't respect selection order!\n\nCheck out the demo video on my website!\n\nKudos to Ivan Busquets for help with matrix math.\n\n--\ndeveloped by Vit Sedlacek (c)2012\nwww.vitsedlacek.com\n\n-- \nModified by Jed Smith to make calculation time nearly ins

jedypod

set cut_paste_input [stack 0]
version 5.2 v1
Group {
 inputs 0
 name HexGenerator
 selected true
 xpos -50
 ypos -482
 addUserKnob {20 HexGenerator}
 addUserKnob {41 format T HexGenCalc.format}

jedypod

Group {
 name AutoExposure
 addUserKnob {20 User}
 addUserKnob {41 wb T ColorMatch.wb}
 addUserKnob {41 dst_color l dst T ColorMatch.dst_color}
 addUserKnob {22 calc T "n = nuke.thisNode()\nnuke.root().begin()\nn.begin()\nct = nuke.toNode('CURVETOOL')\nct\['intensitydata'].clearAnimated()\nt = nuke.frame()\nnuke.execute(ct, t, t)" +STARTLINE}
 addUserKnob {26 ""}
 addUserKnob {41 intensitydata T CURVETOOL.intensitydata}
 addUserKnob {41 sample T ColorSampler.sample}
 addUserKnob {26 ""}

jedypod

import OpenImageIO as oiio
from OpenImageIO import ImageInput, ImageOutput
from OpenImageIO import ImageBuf, ImageSpec, ImageBufAlgo


import os, sys
import shlex, subprocess
import glob

#--------------------------------------------

jedypod

globals:
  # Path to the ocio config to use
  ocioconfig: /path/to/config.ocio
  # Default ocio profile to use if not specified on the commandline
  ocio_default_transform: grade

  ###############################################
  ## Reformatting and Cropping
  ###############################################
  # If debug is true, no encoding will be done and there will be debug prints

jedypod

import nuke, math
def get_closest_node(node):
    # Return the closest node to node
    distances = {}
    for n in nuke.allNodes():
        if n.name() == node.name():
            continue
        distance = math.sqrt( 
            math.pow( (node.xpos() - n.xpos()), 2 ) + math.pow( (node.ypos() - n.ypos()), 2 )
        )

jedypod

import OpenImageIO as oiio
from OpenImageIO import ImageInput, ImageOutput
from OpenImageIO import ImageBuf, ImageSpec, ImageBufAlgo


import os, sys
import shlex, subprocess
import glob

#--------------------------------------------

jedypod

set cut_paste_input [stack 0]
push $cut_paste_input
Group {
 name FLog2Lin
 label "\[value operation]"
 selected true
 xpos -40
 ypos -952
 addUserKnob {20 FLog2Lin}
 addUserKnob {4 operation M {log2lin lin2log}}

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

jedypod

set cut_paste_input [stack 0]
push $cut_paste_input
Group {
 name ExposureBlend
 label "\[value brackets] Brackets"
 addUserKnob {20 ExposureBlend_tab l ExposureBlend}
 addUserKnob {7 time_th l "time threshold" t "threshold duration in seconds between exposure bracket sets" R 1 10}
 time_th 2
 addUserKnob {1 capture_time l "capture time" t "Enter the metadata key for the exposure capture time metadata key in your source images"}
 capture_time exr/Exif:DateTimeOriginal