Commit 9d5cbb08 authored by Bryce Hepner's avatar Bryce Hepner
Browse files

changed while making graphs

parent e8a6c815

GraphMaker.ipynb

+229 −65

File changed.

Preview size limit exceeded, changes collapsed.

WorkingPyDemo.py

+16 −16
Original line number Diff line number Diff line
@@ -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)
@@ -578,15 +578,15 @@ 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]

    bins = [21,32,48]



    # for i,item in enumerate(newnamesforlater):

    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))

        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")