normanrz

# APPLY VOLUME MERGE ANNOTATION
#
# This script applies a webKnossos merger mode annotation
# to a given segmentation layer. The script will output a
# TIFF image sequence.
#
# The --set_zero flag will relabel all non-annotated segments
# to 0.
#
# 1. Download the merger mode NML file.

lacan

/*
 * Complex Format EXPORT MACRO
 * By Olivier Burri @ EPFL - SV - PTECH - BIOP
 * Given a folder, extracts all series inside all multi-file files with given extension in new folders 
 * Last edit: 13.02.2017
 */


 ////////////////////// SET PARAMETERS //////////////////////
 ////////////////////////////////////////////////////////////

postspectacular

;; Tetrahedron intersection based on this paper & algorithm:
;; http://vcg.isti.cnr.it/Publications/2003/GPR03/fast_tetrahedron_tetrahedron_overlap_algorithm.pdf
;;
;; Unlike original algorithm this implementation produces correct
;; results regardless of the orientation/ordering of points defining
;; the two tetrahedra. This is achieved via the orient-tetra function,
;; which ensures the correct ordering of vertices for this algorithm
;; to function properly.
;;
;; Implementation extracted from upcoming geometry library

acdha

# encoding: utf-8
"""Experimental Solr Grouping / Field Collapsing backend for Haystack 2.0"""
# NOTE: You must be running the latest Pysolr master - no PyPI release yet!
# See https://gist.github.com/3750774 for the current version of this code
# See http://wiki.apache.org/solr/FieldCollapsing for the Solr feature documentation
from __future__ import absolute_import

import logging

from django.db.models.loading import get_model

sheymann

ExportPlot <- function(gplot, filename, width=2, height=1.5) {
    # Export plot in PDF and EPS.
    # Notice that A4: width=11.69, height=8.27
    ggsave(paste(filename, '.pdf', sep=""), gplot, width = width, height = height)
    postscript(file = paste(filename, '.eps', sep=""), width = width, height = height)
    print(gplot)
    dev.off()
    png(file = paste(filename, '_.png', sep=""), width = width * 100, height = height * 100)
    print(gplot)
    dev.off()