from tkinter import *

from dipy.viz import fvtk

from dipy.tracking.distances import bundles_distances_mam

from nibabel import trackvis

from dipy.tracking.utils import length

import numpy as np

import nibabel

import os

import vtk.util.colors as colors

import _tkinter

import matplotlib.pyplot as plt

def loadtrkfile(T_filename, threshold_short_streamlines=10.0):

return T, hdr

def show_tract(segmented_tract, color):

fvtk.clear(ren)

def countstreamlines():

print("total %s streamlines" % ( len(T_A)))

def showhistogram():

plt.show()

def load():

T_A, hdr = loadtrkfile(T_A_filename, threshold_short_streamlines=threshold_short_streamlines)

if __name__ == '__main__':

print(__doc__)

np.random.seed(0)

T_A_filename = 'F:\Thesis\Resources\CST_L.trk'

threshold_short_streamlines = 0.0

color=colors.red

T_A, hdr = loadtrkfile(T_A_filename, threshold_short_streamlines=threshold_short_streamlines)

root = Tk()

Frame= Frame(root)

Frame.pack(fill=X)

button1=Button(Frame,text="Load Tract",fg="blue",command=load)

button2=Button(Frame,text="Show Tract",fg="blue",command=show_tract(T_A,color))

button3=Button(Frame,text="Streamlines Count",fg="blue",command=countstreamlines)

button4=Button(Frame,text="Show histogram",fg="blue",command=showhistogram)

button1.pack(fill=X)

button2.pack(fill=X)

button3.pack(fill=X)

button4.pack(fill=X)

root.mainloop()