ReadME and melNET_augData.py modified

Author: Sekhar Roy

ReadME_Melanoma_Data.txt

@@ -0,0 +1,13 @@
+01) Install Anaconda
+02) Go to Environments >> Create. Then name it (E.g.: melNET_env) and give Python Version (E.g.: 3.7). Hit �Create� ! 
+03) Install packages: opencv, tensorflow
+04) Download melNET from git:https://github.com/roy-shudipto/melNET.git and unzip 
+05) Digital data download Link: https://drive.google.com/open?id=1UuLg6uqMg0EYbP7fRZwxHg_IxbHQS-xx 
+    Or,
+    Dermoscopic data download Link: https://drive.google.com/open?id=1jzCzDgw2lxkAppQoApOryI4aVTSU9sUs 
+06) Unzip the dataset and put it in the melNET folder
+07) Install PyCharm 
+08) Open "melNET.py" using PyCharm
+09) Set �Python Interpreter� to the new Conda Environment (E.g.:melNET_env)
+10) Go to Run >> Run >> melNET  
+11) Follow the prompt! 

ReadME_Run_melNET.txt

@@ -38,6 +38,7 @@ def quit_button_pressed():
     _mirror = BooleanVar()
     _rotate = BooleanVar()
     _five_fold = BooleanVar()
+    _resize = BooleanVar()
     _rotate_ang = IntVar(0)
     _blur_thresh = IntVar(0)
 
@@ -51,16 +52,17 @@ def quit_button_pressed():
     Checkbutton(root, text="Sharpen", variable=_sharpen).grid(row=6, sticky=W)
     Checkbutton(root, text="Mirror", variable=_mirror).grid(row=7, sticky=W)
     Checkbutton(root, text="Rotate All", variable=_rotate).grid(row=8, sticky=W)
+    Checkbutton(root, text="Resize (400 x 400)", variable=_resize).grid(row=10, sticky=W)
 
     Label(root, text="Angle Span in Degrees: ").grid(row=8, column=2)
     Label(root, text="(Default: 45)").grid(row=9, column=2)
     Entry(root, textvariable=_rotate_ang).grid(row=8, column=3)
     Label(root, text="Blur Threshold (Default=7):").grid(row=0, column=2)
     Entry(root, textvariable=_blur_thresh).grid(row=0, column=3)
 
-    Checkbutton(root, text="Five-Fold   (Default: Single-Fold)", variable=_five_fold).grid(row=10, sticky=W)
-    Button(root, text="Quit", command=quit_button_pressed, width=15).grid(row=11, column=2, sticky=W)
-    Button(root, text="Apply", command=apply_button_pressed, width=15).grid(row=11, column=3, sticky=W)
+    Checkbutton(root, text="Five-Fold   (Default: Single-Fold)", variable=_five_fold).grid(row=11, sticky=W)
+    Button(root, text="Quit", command=quit_button_pressed, width=15).grid(row=12, column=2, sticky=W)
+    Button(root, text="Apply", command=apply_button_pressed, width=15).grid(row=12, column=3, sticky=W)
 
     root.mainloop()
 
@@ -75,6 +77,7 @@ def quit_button_pressed():
         sharpen = _sharpen.get()
         mirror = _mirror.get()
         rotate = _rotate.get()
+        resize = _resize.get()
         global five_fold
         five_fold = _five_fold.get()
         rot_ang = _rotate_ang.get()
@@ -102,7 +105,7 @@ def quit_button_pressed():
     if del_blur:
         if blur_thresh is 0:
             blur_thresh = 7
-        blur_detection.main(blur_thresh)
+        melNET_blur_detection.main(blur_thresh)
 
     # Number of folds
     global fold_num
@@ -140,6 +143,12 @@ def quit_button_pressed():
         for img in image_list:
             set_counter += 1
 
+            # Resizing
+            if resize:
+                width = 400
+                height = 400
+                img = cv2.resize(img, (width, height))
+
             # Original Saving Code
             if original:
                 file_naming(img, "O", folder, set_counter)