deleted many files and testing code

Encoding_decoding.ipynb

@@ -595,7 +595,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.8.10 64-bit",
    "language": "python",
    "name": "python3"
   },
@@ -610,6 +610,11 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.8.10"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
+   }
   }
  },
  "nbformat": 4,

Remove_Noise.py

@@ -172,10 +172,12 @@ def create_testable_images(images, selected_channel, quantity_of_images):
         # average_image = Image.fromarray(average_image)
 
     sftp_client.close()
+
 def save_new_gauss():
     """\
     creates gaussian kernel with side length `l` and a sigma of `sig`
     """
+    
     # x,y = np.mgrid[-1:1:.003125, -1:1:.003125]
     x,y = np.mgrid[-1:1:.44, -1:1:.44]
     print(x.shape)

WorkingPyDemo.py

@@ -515,7 +515,7 @@ def text_to_tiff(filename, list_dic, bins):
 
 if __name__ == "__main__":
     
-    scenes = file_extractor("averaged_images(11)")
+    scenes = file_extractor("images")
     images = image_extractor(scenes)
     newnamesforlater = []
     list_dic, bins = make_dictionary(images, 4, False)
@@ -534,16 +534,13 @@ if __name__ == "__main__":
             newname = images[i][:-5]
         else:
             newname = images[i][:-4]
-        # print(newname)
+
         newnamesforlater.append(newname + "_Compressed.txt")
         with open(newname + "_Compressed.txt", 'wb') as f:
             f.write(inletters)
         file_sizes_new.append((os.path.getsize(newname + "_Compressed.txt")))
         file_sizes_old.append((os.path.getsize(images[i])))
-        # sleep(5)
-        # if i % 50 == 0:
-        #     print(i)
-        #     sleep(20)
+
     print(file_sizes_new)
     print(file_sizes_old)
     print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
@@ -551,7 +548,7 @@ if __name__ == "__main__":
     print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
     # list_dic = np.load("first_dic.npy", allow_pickle="TRUE")
     bins = [21,32,48]
-    # os.system("ls")
+
     # for i,item in enumerate(newnamesforlater):
     #     print(item)
     #     image, new_error, diff = huffman(images[i], 4, False)