changed while making graphs

WorkingPyDemo.py

@@ -205,7 +205,7 @@ def make_dictionary(tiff_image_path_list, num_bins=4, difference = True):
         # plt.title('Histogram of Pixel Values')
         # plt.show()
         
-        bins = [29,44,67]
+        bins = [21,32,48]
         # get the boundary 
         boundary = np.hstack((image_array[0,:],image_array[-1,:],image_array[1:-1,0],image_array[1:-1,-1]))
         
@@ -290,7 +290,7 @@ def huffman(tiff_image_path, num_bins=4, difference = True):
     # get the image_as_array, etc
     image_as_array, diff, error= predict_pix(tiff_image_path, difference)
     
-    bins = [29,44,67]
+    bins = [21,32,48]
     # get the boundary 
     boundary = np.hstack((image_as_array[0,:],image_as_array[-1,:],image_as_array[1:-1,0],image_as_array[1:-1,-1]))
     
@@ -548,16 +548,16 @@ if __name__ == "__main__":
     scenes = file_extractor("images")
     images = image_extractor(scenes)
     newnamesforlater = []
-    list_dic, bins = make_dictionary(images, 4, True)
+    list_dic, bins = make_dictionary(images, 4, False)
     file_sizes_new = []
     file_sizes_old = []
     # list_dic = np.load("first_dict.npy", allow_pickle="True")
-    bins = [29,44,67]
+    bins = [21,32,48]
     #otherbins = [21,32,48]
     np.save("first_dict.npy", list_dic)
-    for i in np.random.choice(len(images), 10):
+    for i in range(3):
 
-        image, new_error, diff = huffman(images[i], 4, True)
+        image, new_error, diff = huffman(images[i], 4, False)
         encoded_string = encoder(new_error, list_dic, diff, bins)
         inletters = bitstring_to_bytes(encoded_string)
 
@@ -578,16 +578,16 @@ if __name__ == "__main__":
     file_sizes_new.append(os.path.getsize("first_dict.npy"))
     print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
     # list_dic = np.load("first_dict.npy", allow_pickle="TRUE")
-    bins = [29,44,67]
-
-    # for i,item in enumerate(newnamesforlater):
-    #     print(item)
-    #     image, new_error, diff = huffman(images[i], 4, False)
-    #     encoded_string2 = bytes_to_bitstring(read_from_file(item))
-    #     starttime = time()
-    #     reconstruct_image = decoder(encoded_string2, list_dic, bins, False)
-    #     print(np.allclose(image, reconstruct_image))
-    #     print(time() - starttime)
+    bins = [21,32,48]
+
+    for i,item in enumerate(newnamesforlater):
+        # print(item)
+        image, new_error, diff = huffman(images[i], 4, False)
+        encoded_string2 = bytes_to_bitstring(read_from_file(item))
+        starttime = time()
+        reconstruct_image = decoder(encoded_string2, list_dic, bins, False)
+        print(np.allclose(image, reconstruct_image))
+        # print(time() - starttime)
     # text_to_tiff("images/1626033496_437803/1626033496_437803_3._Compressed.txt", list_dic, bins)
     # original_image = Image.open("images/1626033496_437803/1626033496_437803_3.tiff")
     # original_image = np.array(original_image)[1:]