tlancon

# 1. Copy/paste this into Avizo/Amira console
# 2. Select one or more Ortho Slices to auto-adjust and press F3
# Note: Can change 'onKeyFX' to the desired keybinding
proc onKeyF3 {} {
    foreach slice [all -selected HxOrthoSlice] {
        $slice colormap adjustRange; $slice fire
    }
}

tlancon

# 1. Copy/paste this into Avizo/Amira console
# 2. Select two datasets to compare and press Shift+F3
# Note: Can change 'onKeyFX' to the desired keybinding
# Note: Requires Avizo (not Avizo Lite) or the XImagePAQ extension for Amira
proc onKeyShiftF3 {} {
	if {[llength [all -selected]] != 2} {
		echo "Please select two data objects."
	} else {
		set before [lindex [all -selected] 0]
		set after [lindex [all -selected] 1]

tlancon

# Copy/paste into the Avizo/Amira Python console.
# Alternatively, save to a file, add that file to your path, and import.
# See docstring for usage.
def labelanalysis_to_dataframe(tablelike_object):
    """
    Converts a tablelike object (HxSpreadSheet, HxLabelAnalysis, or anything with
    .all_interfaces.HxSpreadSheetInterface) to a Pandas data frame with the column names intact.
    
    You must use the object handle, not just the name of the object! For example,
    to convert a HxLabelAnalysis data object named "chocolate-bar.Label-Analysis":

tlancon

def parse_response(multiple_choice, prompt=None):
    """
    Splits a user's input into individual words and searches a list
    of allowable responses for a unique match, then returns the word
    that matches one of the options.

    List comprehension syntax explained for my own reference:
    1. for i in response.split() - breaks every word of response
        into individual strings
    2. if i in multiple_choice - searches for ALL recognized words

tlancon

# Copy/paste into the Avizo/Amira Python console.
# Alternatively, save to a file, add that file to your path, and import.
# See docstring for usage.
def get_cell_contents(tablelike_object,row,column,table=0):
    """
    Retrieves contents of cell i,j in a table through
    HxSpreadSheetInterface.
    
    You must use the object handle, not just the name of the object! For example,
    to get the contents of row 4 from column 5 of a HxLabelAnalysis data object

tlancon

def sarcastify(my_string):
    """
    Returns a sarcastic version of the provided string.
    
    Example:
    >>> sarcastify('Do you really think that\'s a good idea?')
    "dO YoU ReAlLy tHiNk tHaT'S A GoOd iDeA?"
    
    Useful for arguing online or replying all to that email that accidentally
    went to the whole company.

tlancon

import numpy as np

x = np.array([0, 1, 2, 3, 4, 5])
y = np.array([4, 5, 6, 7, 8, 9])

displacement = np.sqrt(np.diff(x, prepend=x[0])**2 + np.diff(y, prepend=y[0])**2)

tlancon

import os
import numpy as np
import matplotlib.pyplot as plt
from skimage import io
from skimage.measure import regionprops

# ----------------------------------------------------------
# Input
wdir = os.path.dirname('<DIRECTORY_CONTAINING_IMAGES>')
fname = '<LABELED_IMAGE_NAME>.tif'

tlancon

def reject_outliers(arr, window_size, threshold):
    """
    Given a 1D signal, replace outliers with the average of the surrounding points.

    Does the following for every point:
        1. Computes the median of the sliding window
        2. Computes the percentage difference between the current point and the
           sliding window median
        3. If that deviation exceeds the given threshold, replaces that point with
           the average of the surrounding two points.

tlancon

for /r %%f in (*MP4) do (

ffmpeg -i %%f -q:a 0 -map a "%%~nf.wav"

)