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trajectory_clustering.py
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trajectory_clustering.py
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'''
Created on 4. 5. 2015
@author: janbednarik
'''
from Tkinter import *
from trajectory import Trajectory
from clustering import Clustering
import sys
canvas_width = 600
canvas_height = 600
MAX_CLUSTERS = 3
MAX_CLUSTERS_USER_DEFINED = False
COLORS = ["#FF0000", # red
"#00FF00", # lime
"#0000FF", # blue
"#FFFFFF", # white
"#FFFF00", # yellow
"#00FFFF", # aqua
"#FF00FF", # fuchsia
"#800000", # maroon
"#808000", # olive
"#008000", # green
"#008080", # teal
"#000080", # navy
"#800080", # purple
"#808080", # gray
"#C0C0C0"] # silver
COLOR_BLACK = "#000000"
# line coordinates
xold, yold = None, None
ci = 0 # cluster index (for painting)
newT = True # Flag - a new trajectory being created
# list of the clusters of trajectories
trajectories = []
clust = Clustering()
# While mouse button 1 is pressed, the trajectory is being painted and new points are saved
def buttonMotion(event):
global newT, xold, yold
## save point
# a first point for a new trajectory
if(newT):
trajectories.append(Trajectory(ci))
newT = False
trajectories[len(trajectories) - 1].addPoint((event.x, event.y))
## paint one point
# c = COLORS[ci]
c = COLOR_BLACK
x1, y1 = (event.x - 2), (event.y - 2)
x2, y2 = (event.x + 2), (event.y + 2)
w.create_oval(x1, y1, x2, y2, fill = c)
## paint a line
if xold is not None and yold is not None:
w.create_line(xold, yold, event.x, event.y, smooth=True)
xold = event.x
yold = event.y
# Switch to next cluster
def nextCluster(event):
global ci, ti, COLORS
# switch to next cluster
ci = (ci + 1) % MAX_CLUSTERS
ti = 0
COLOR_IDX = (ci + 1) % MAX_CLUSTERS
# Switch to next trajectory
def buttonUp(event):
global newT, xold, yold
newT = True
xold = None
yold = None
# Check if last trajectory has 0 length
if trajectories[len(trajectories) - 1].length() == 0.0:
trajectories.pop()
Trajectory.decGlobID()
# debug print trajectories
def printTrajectories(event):
for t in trajectories:
print(t)
def clusterTrajectoriesAgglomerative(event):
# perform clustering
clust.clusterAgglomerartive(trajectories, MAX_CLUSTERS)
# clear canvas
w.delete('all')
#redraw background
w.create_image(300, 300, image=bg)
# draw colored trajectories
for t in trajectories:
t.draw(w, COLORS[t.getClusterIdx()])
def clusterTrajectoriesSpectral(event):
# perform clustering
#if MAX_CLUSTERS_USER_DEFINED:
# clust.clusterSpectral(trajectories, MAX_CLUSTERS)
#else:
clust.clusterSpectral(trajectories)
# clear canvas
w.delete('all')
#redraw background
w.create_image(300, 300, image=bg)
# draw colored trajectories
for t in trajectories:
t.draw(w, COLORS[t.getClusterIdx()])
def reset(event):
trajectories[:] = []
Trajectory.resetGlobID()
# clear canvas
w.delete('all')
#redraw background
w.create_image(300, 300, image=bg)
# Command line parsing
if(len(sys.argv) == 2):
MAX_CLUSTERS = int(sys.argv[1])
MAX_CLUSTERS_USER_DEFINED = True
#print("Number of clusters: %d" % MAX_CLUSTERS)
master = Tk()
master.title( "Trajectory clustering" )
w = Canvas(master, width=canvas_width, height=canvas_height)
w.pack(expand = YES, fill = BOTH)
bg = PhotoImage(file='roundabout.gif')
w.create_image(300, 300, image=bg)
w.focus_set()
w.bind('<B1-Motion>', buttonMotion)
w.bind('<ButtonRelease-1>', buttonUp)
w.bind('a', clusterTrajectoriesAgglomerative)
w.bind('s', clusterTrajectoriesSpectral)
w.bind('r', reset)
mainloop()