Kevin Mader kmader

How to display output

How to display reasonable output from a RCNN in JS

Change Configuration / Environment

Often it is important to change a core configuration setting in pyspark before running (like a serializer, PYTHONHASHSEED for python3 users, or

from pyspark import SparkContext
from pyspark.serializers import PickleSerializer
new_conf = sc._conf.setExecutorEnv('PYTHONHASHSEED', '1234')
sc.stop()
sc = pyspark.SparkContext(conf = new_conf, serializer = PickleSerializer())

	from glob import glob
	import os
	cur_glob = '/Volumes/NO NAME/*seg.nii'
	files_to_process = glob(cur_glob)
	print('Processing', len(files_to_process), 'files')
	def process_file(in_path):
	slicer.mrmlScene.Clear(0)
	[success, loadedVolumeNode] = slicer.util.loadVolume(in_path, returnNode=True)
	outputLabelMap = slicer.mrmlScene.AddNewNodeByClass('vtkMRMLLabelMapVolumeNode')
	vol_logic = slicer.modules.volumes.logic()

	<html>
	<head>
	<meta HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=UTF-8">
	<title>Thebe Lab examples</title>
	<link rel="stylesheet" type="text/css" href="index.css" />

	<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js">
	</script>

	<!-- Configure and load Thebe !-->

	library(tidyverse)
	library(oro.dicom)
	knime.in$Location %>%
	plyr::ldply(function(in_path) {
	readDICOMFile(as.character(in_path), pixelData = F)$hdr %>%
	group_by(name) %>% summarize_all(funs(first)) %>% # remove duplicate names
	select(name, value) %>% spread(name, value) %>% # reformat as a table
	head(1)
	}
	) -> all_header

	.material-switch > input[type="checkbox"] {
	display: none;
	}

	.material-switch > label {
	cursor: pointer;
	height: 0px;
	position: relative;
	width: 40px;
	}