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controller.py
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controller.py
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__author__ = 'arran'
from imageprocessing import *
import time
from tkinter import Tk, RIGHT, LEFT, TOP, BOTTOM, BOTH, RAISED, IntVar, DoubleVar, Checkbutton, Label, filedialog, NW, \
S, SW, W, N, E, Entry, StringVar, Canvas, PhotoImage, CENTER, LEFT, RIGHT, Scale, HORIZONTAL
from tkinter.ttk import Frame, Button, Style
from PIL import Image, ImageTk
# Default variable values
default_kernel_size = 501
default_clipping_value = 30
default_constant_a = 1.13
default_constant_b = -0.4
default_constant_c = 0.108
# Default GUI values
defaultpadding = 5
canvas_size = 350 # Used in import and export frames
class Window(Frame):
def __init__(self, parent):
Frame.__init__(self, parent)
self.parent = parent
self.grid(sticky=N+E+S+W)
self.initui()
def initui(self):
self.parent.title("Light pollution map")
self.style = Style()
self.style.theme_use("alt")
self.grid(row=0, column=0)
padding = {'padx':'5', 'pady':'5'}
big_heading_font = ("Arial", 14, 'bold')
small_heading_font = ("Arial", 10, 'bold')
# Create frames.
# There are three frames for settings - preprocessing, convolve, and contour.
# Each also has an image frame underneath it.
# Layout is as follows:
#
# --------------------------------------------------------------------------
# | | | | |
# | | | | |
# | import_body | process_body | contour_body | export_body |
# | | | | |
# | | | | |
# --------------------------------------------------------------------------
# Settings frames
top = self.winfo_toplevel()
top.rowconfigure(0, weight=1)
top.columnconfigure(0, weight=1)
self.rowconfigure(0, weight=1)
self.columnconfigure(0, weight=1)
self.columnconfigure(1, weight=1)
self.columnconfigure(2, weight=1)
self.columnconfigure(3, weight=1)
import_body = Frame(self, relief=RAISED, borderwidth=1)
import_body.grid(row=0, column=0, sticky=N+S+E+W)
process_body = Frame(self, relief=RAISED, borderwidth=1)
process_body.grid(row=0, column=1, sticky=N+S+E+W)
contour_body = Frame(self, relief=RAISED, borderwidth=1)
contour_body.grid(row=0, column=2, sticky=N+S+E+W)
export_body = Frame(self, relief=RAISED, borderwidth=1)
export_body.grid(row=0, column=3, sticky=N+S+E+W)
# =============================================================================================================
#
# Contents of load_image_frame
#
# =============================================================================================================
# Heading
processing_frame_header = Label(import_body, text="Import", font=big_heading_font)
processing_frame_header.grid(row=0, column=0, sticky=N, **padding)
filename_variable = StringVar()
# Import image
import_canvas = Canvas(import_body, width=canvas_size, height=canvas_size, background='black')
import_canvas.grid(row=1, column=0, sticky=N, **padding)
# Load file method
def choosefile():
filename_variable.set(filedialog.askopenfilename(parent=import_body))
image = Image.open(filename_variable.get())
thumbnail = create_thumbnail(image, canvas_size)
import_canvas.create_image(0, 0, image=thumbnail, anchor=NW)
load_image_button = Button(import_body, text="Import image", command=choosefile)
load_image_button.grid(row=2, column=0, columnspan=2, sticky=E+W+S, **padding)
import_body.rowconfigure(2, weight=1)
# =============================================================================================================
#
# Contents of processing_frame
#
# =============================================================================================================
processing_frame_header = Label(process_body, text="Process", font=big_heading_font)
processing_frame_header.grid(row=0, column=0, columnspan=2, sticky=N, **padding)
clipping_variable = IntVar()
constants_label = Label(process_body, text="Clipping",
font=("Arial", 10, 'bold'))
constants_label.grid(row=1, column=0, sticky=E, **padding)
clipping_label = Label(process_body, text="Remove pixels with \n brightness under")
clipping_label.grid(row=2, column=0, sticky=E, **padding)
clipping_entry = Entry(process_body, textvariable=clipping_variable, width=4)
clipping_entry.grid(row=2, column=1, sticky=W, **padding)
clipping_variable.set(value=default_clipping_value)
convolve_header = Label(process_body, text="Kernel", font=small_heading_font)
convolve_header.grid(row=4, column=0, sticky=E, **padding)
kernel_size_variable = IntVar()
kernel_size_label = Label(process_body, text="Convolve kernel size", justify=RIGHT)
kernel_size_label.grid(row=5, column=0, sticky=E, **padding)
kernel_size_entry = Entry(process_body, textvariable=kernel_size_variable, width=4)
kernel_size_entry.grid(row=5, column=1, sticky=W, **padding)
kernel_size_variable.set(value=default_kernel_size)
# Constants for convolve equation
constants_label = Label(process_body, text="Falloff",
font=("Arial", 10, 'bold'))
constants_label.grid(row=6, column=0, sticky=E, **padding)
constant_a_label = Label(process_body, text="Constant A:")
constant_b_label = Label(process_body, text="Constant B:")
constant_c_label = Label(process_body, text="Constant C:")
constant_a_label.grid(row=7, column=0, sticky=E, **padding)
constant_b_label.grid(row=8, column=0, sticky=E, **padding)
constant_c_label.grid(row=9, column=0, sticky=E, **padding)
constant_a_variable = DoubleVar()
constant_b_variable = DoubleVar()
constant_c_variable = DoubleVar()
constant_a_entry = Entry(process_body, textvariable=constant_a_variable, width=4)
constant_b_entry = Entry(process_body, textvariable=constant_b_variable, width=4)
constant_c_entry = Entry(process_body, textvariable=constant_c_variable, width=4)
constant_a_variable.set(default_constant_a)
constant_b_variable.set(default_constant_b)
constant_c_variable.set(default_constant_c)
constant_a_entry.grid(row=7, column=1, **padding)
constant_b_entry.grid(row=8, column=1, **padding)
constant_c_entry.grid(row=9, column=1, **padding)
constants_note = Label(process_body, text="Falloff equation is (Ax^B)-C", font=("Arial", 9))
constants_note.grid(row=10, column=0, columnspan=2, sticky=E, **padding)
# Start button!
def process():
print("Filename was " + filename_variable.get())
image_data = process_image(filename=filename_variable.get(),
kernel_size=kernel_size_variable.get(),
clipping_value=clipping_variable.get(),
constant_a=constant_a_variable.get(),
constant_b=constant_b_variable.get(),
constant_c=constant_c_variable.get()
)
image_data = Image.open("processed_image.png")
thumbnail = create_thumbnail(image_data, canvas_size)
export_canvas.create_image(0, 0, image=thumbnail, anchor=NW)
start_button = Button(process_body, text="Process image", command=process)
start_button.grid(row=11, column=0, columnspan=3, sticky=E+W+S, **padding)
process_body.rowconfigure(11, weight=1)
# =============================================================================================================
#
# Contents of contour_frame
#
# =============================================================================================================
contour_header = Label(contour_body, text="Contour", font=big_heading_font)
contour_header.grid(row=0, column=0, sticky=S, columnspan=2, **padding)
contour_note = Label(contour_body, text="(optional)")
contour_note.grid(row=1, column=0, sticky=S, columnspan=2)
scale_options = {"width":"5", "length":"150"}
slider_padding = {"padx":"2", "pady":"0"}
scale_list = []
scale_values_list = []
default_scale_values = [5, 7, 10, 20, 30, 40, 60, 100, 200]
for i in range(9):
scale = Scale(contour_body, from_=0, to_=255, orient=HORIZONTAL, **scale_options)
scale.grid(row=i+2, column=0, columnspan=2, sticky=S, **slider_padding)
scale.set(default_scale_values[i])
scale_list.append(scale)
for scale in scale_list:
print(scale)
print(type(scale))
#print(scale.get())
def contour():
scale_values_list.clear()
for scale in scale_list:
scale_values_list.append(scale.get())
contour_image(scale_values_list)
image_data = Image.open("Contoured_image.png")
thumbnail = create_thumbnail(image_data, canvas_size)
export_canvas.create_image(0, 0, image=thumbnail, anchor=NW)
contour_button = Button(contour_body, text="Contour image", command=contour)
contour_button.grid(row=11, column=0, columnspan=2, sticky=E+S+W, **padding)
contour_body.rowconfigure(11, weight=1)
contour_body.columnconfigure(1, weight=1)
# =============================================================================================================
#
# Contents of export_body
#
# =============================================================================================================
filename_export_variable = StringVar()
def export_file():
filename_options = {}
filename_options['filetypes'] = [('PNG', '.png')]
filename_options['initialfile'] = 'output.png'
filename_options['parent'] = self
filename_export_variable.set(filedialog.asksaveasfilename(**filename_options))
image_data = Image.open("Contoured_image.png")
image_data.save(filename_export_variable.get())
export_header = Label(export_body, text="Export", font=big_heading_font)
export_header.grid(row=0, column=0, sticky=N, **padding)
export_canvas = Canvas(export_body, width=canvas_size, height=canvas_size, background='black')
export_canvas.grid(row=1, column=0, **padding)
export_button = Button(export_body, text="Export image", command=export_file)
export_button.grid(row=2, column=0, columnspan=2, sticky=E+W+S, **padding)
export_body.rowconfigure(2, weight=1)
def main():
root = Tk()
root.geometry("1100x450+300+300")
root.resizable(width=False,height=False)
app = Window(root)
root.mainloop()
def create_thumbnail(image, thumbnail_size):
(width, height) = image.size
print(width, height)
resize_ratio = (min(thumbnail_size/width, thumbnail_size/height))
image.thumbnail((width*resize_ratio, height*resize_ratio), Image.ANTIALIAS)
photo = ImageTk.PhotoImage(image)
photo_label = Label(image=photo)
photo_label.image = photo
return photo
def process_image(filename, kernel_size, clipping_value, constant_a, constant_b, constant_c):
start_time = time.time()
image_data = open_image(filename)
image_data = convolve(image_data, kernel_size=kernel_size, a=constant_a, b=constant_b, c=constant_c)
image_data = clip(image_data, lightclipminimum=clipping_value)
# image_data = makeContours(image_data)
image_data = normalise(image_data)
save_image(image_data, filename="processed_image")
# Create thumbnail of image.
return image_data
print("Time taken: %d seconds" % (time.time() - start_time))
def contour_image(contour_levels):
contour_result = make_contours(contour_levels)
save_image(contour_result, filename="Contoured_image")
if __name__ == '__main__':
main()