# import the necessary packages
from tkinter import *
from PIL import Image
from PIL import ImageTk
from PIL import ImageFilter
from tkinter import filedialog
from matplotlib import pyplot as plt
from scipy import ndimage
#import tkFileDialog
import cv2
import time
import numpy

global gray
global image
global panelA

def select_image():
    # grab a reference to the image panels
    global image
    # open a file chooser dialog and allow the user to select an input
    # image
    #path = tkFileDialog.askopenfilename()
    #root = Tk()
    #root.
    filename =  filedialog.askopenfilename(initialdir = "/",title = "Select file",filetypes = (("jpeg files","*.jpg"),("all files","*.*")))
    print (filename)
    # ensure a file path was selected
    if len(filename) > 0:
        # load the image from disk, convert it to grayscale, and detect
        # edges in it
        image = cv2.imread(filename)

        # check()
        # time.sleep(5)
        hpf()
        return image
        # edged = cv2.Canny(gray, 50, 100)
        # # OpenCV represents images in BGR order; however PIL represents
        # # images in RGB order, so we need to swap the channels
        # image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        # convert the images to PIL format...
        # image = Image.fromarray(image)
        # edged = Image.fromarray(edged)
        # # ...and then to ImageTk format
        # image = ImageTk.PhotoImage(image)
        # edged = ImageTk.PhotoImage(edged)
        # # if the panels are None, initialize them
        # if panelA is None: #or panelB is None:
        #     # the first panel will store our original image
        #     panelA = Label(image=image)
        #     panelA.image = image
        #     panelA.pack(side="left", padx=10, pady=10)
        #     # while the second panel will store the edge map
        #     # panelB = Label(image=edged)
        #     # panelB.image = edged
        #     # panelB.pack(side="right", padx=10, pady=10)
        # # otherwise, update the image panels
        # else:
        #     # update the pannels
        #     panelA.configure(image=image)
        #     #panelB.configure(image=edged)
        #     panelA.image = image
        #     #panelB.image = edged
# initialize the window toolkit along with the two image pane

def check():
    global panelA, gray, image

    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    #image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    image = Image.fromarray(gray)
    image = ImageTk.PhotoImage(image)
    if panelA is None:
        panelA = Label(image=image)
        panelA.image = image
        panelA.pack(side="left", padx=10, pady=10)
    else:
        panelA.configure(image=image)
        panelA.image = image


def hpf():
    global panelA, image, filtered
    gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
    #image2 = Image.fromarray(gray)
    #dane = numpy.array(image, dtype=float)
    #low = ndimage.gaussian_filter(dane, 5)
    #hp = dane - low
    #blur = image2.filter(ImageFilter.GaussianBlur(radius = 20))
    blur = cv2.GaussianBlur(gray,(5,5),0)
    hp = gray - blur
    image2 = Image.fromarray(hp)
    image2 = ImageTk.PhotoImage(image2)
    #laplacian = cv2.Laplacian(gray,cv2.CV_64F)

    #filtered = cv2.subtract(img, blur)
    #filtered = filtered + 127*numpy.ones(neg_frame.shape, numpy.uint8)
    if panelA is None:
        panelA = Label(image=image2)
        panelA.image = image2
        panelA.pack(side="left", padx=10, pady=10)
    else:
        panelA.configure(image=image2)
        panelA.image = image2



root = Tk()
panelA = None
#panelB = None
# create a button, then when pressed, will trigger a file chooser
# dialog and allow the user to select an input image; then add the
# button the GUI
btn = Button(root, text="Select an image", command=select_image)
btn.pack(side="bottom", fill="both", expand="yes", padx="10", pady="10")
# btn = Button(root, text="Check", command=check)
# btn.pack(side="bottom", fill="both", expand="yes", padx="10", pady="30")
# kick off the GUI
root.mainloop()