First upload

.gitignore

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+/.venv/

image-enhancement.py

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+import numpy as np
+from matplotlib import image
+from matplotlib import pyplot as plt
+import tkinter as tk
+
+FOETUS_PATH_ORIGINAL = ".\\images\\foetus.png"
+NZJERS_PATH_ORIGINAL = ".\\images\\NZjers1.png"
+
+def updateImages():
+    #x = slider1.get()
+    #y = slider2.get()
+
+    # # apply filter to images with new parameters - with applyFilter()
+    # # save new images to disk
+    # # load new images into GUI
+    label1.configure(image=window.nzjers)
+    label1.photo = window.nzjers
+    print("image updated")
+
+def applyFilter():
+    raise NotImplementedError
+
+# Instantiate new TKinter instance - Python's GUI builder
+window = tk.Tk()
+
+# Add two sliders to the GUI to interactively experiment with filter parameters
+slider1 = tk.Scale(window, from_=0, to=1)
+slider1.pack()
+slider2 = tk.Scale(window, from_=0, to=1)
+slider2.pack()
+
+# Refresh images with new filters
+button = tk.Button(window, text="Update", command=updateImages)
+button.pack()
+
+window.foetus = tk.PhotoImage(file=FOETUS_PATH_ORIGINAL)
+window.nzjers = tk.PhotoImage(file=NZJERS_PATH_ORIGINAL)
+
+# Create a canvas to load the images into
+label1 = tk.Label(window, image=window.foetus)
+label1.pack()
+
+# Begin GUI loop to enable interaction with GUI window
+window.mainloop()
+
+# Think this is broken now
+figures = {'foetus': FOETUS_PATH_ORIGINAL,
+           'NZjers1': NZJERS_PATH_ORIGINAL}
+
+
+# def plotFigs(figures, nrows=2, ncols=1):
+#     """
+#     Function to
+#
+#     :param figures: dictionary of {title, figure} pairs
+#     :param nrows: number of columns wanted in the display
+#     :param ncols: number of rows wanted in the display
+#     :return:
+#     """
+#
+#     fig, axes = plt.subplots(ncols=ncols, nrows=nrows)
+#
+#     for i, title in enumerate(figures):
+#         axes.ravel()[i].imshow(figures[title], cmap=plt.gray())
+#         axes.ravel()[i].set_title(title)
+#         axes.ravel()[i].set_axis_off()
+#
+#     plt.tight_layout()
+#     #plt.colorbar()
+#     #plt.hist()
+#     plt.show()
+
+# plotFigs(figures, 2, 1)

requirements.txt

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+numpy==1.19.2