| import random | |
| import numpy | |
| LOW_BOUND = -10.0 | |
| HIGH_BOUND = 10.0 | |
| POPULATION_SIZE = 100 | |
| MAX_GENERATIONS = 1000 | |
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.
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.css" /> | |
| <script src="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.js"></script> | |
| <style> | |
| body { padding: 0; margin: 0; } | |
| html, body, #map { height: 100%; } | |
| </style> | |
| </head> |
| ####### | |
| #Help with building Facial Rig User interface secondary movers | |
| #By | |
| #Nathaniel O. Anozie (ogbonnawork at gmail dot com) | |
| # | |
| #Inspired by Andy Van Straten -- learning about joints riding on curves | |
| #Inspired by Fabio Bonvicini -- i was inspiredy by his curve based online tutorials on facial rigs | |
| # | |
| # | |
| #see also naNurbsSurfaceControl, naFaceBuffer (more phoneme based) na_faceIt.py (more ui based) |
| import time | |
| import numpy as NP | |
| from redis import StrictRedis as redis | |
| # a 2D array to serialize | |
| A = 10 * NP.random.randn(10000).reshape(1000, 10) | |
| # flatten the 2D NumPy array and save it as a binary string | |
| array_dtype = str(A.dtype) |
Tested requirements:
Add postgresql repository (check distro version). Create /etc/apt/sources.list.d/pgdg.list. Add there deb http://apt.postgresql.org/pub/repos/apt/ trusty-pgdg main
| ============================== | |
| Expression: (id=\d)(.+?)(") | |
| ============================== | |
| Python script to download: | |
| import os.path |
| #!/usr/bin/python | |
| # https://timwise.co.uk/2014/02/03/converting-kml-to-gpx-with-python/ | |
| # https://gist.github.com/timabell/8791116 | |
| import argparse | |
| import xml.sax | |
| parser = argparse.ArgumentParser(description='Convert annoying google android my tracks kml data to sensible gpx files') | |
| parser.add_argument('input_file') |
| #!/usr/bin/env python | |
| # ndvi.py red.tif nir.tif output-ndvi.tif | |
| # Calculate NDVI (see Wikipedia). Assumes atmospheric correction. | |
| # (Although I use it without all the time for quick experiments.) | |
| import numpy as np | |
| from sys import argv | |
| from osgeo import gdal, gdalconst |
| """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: |
