Commit 596da333 authored by Bryce Hepner's avatar Bryce Hepner
Browse files

deleted many files and testing code

parent fe1a66d3

1626032610_393963_0.xcf

deleted100644 → 0
−364 KiB

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Encoding_decoding.ipynb

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Remove_Noise.py

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@@ -172,10 +172,12 @@ def create_testable_images(images, selected_channel, quantity_of_images): 
        # average_image = Image.fromarray(average_image)

        # average_image = Image.fromarray(average_image)





    sftp_client.close()

    sftp_client.close()



def save_new_gauss():

def save_new_gauss():

    """\

    """\

    creates gaussian kernel with side length `l` and a sigma of `sig`

    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:.003125, -1:1:.003125]

    x,y = np.mgrid[-1:1:.44, -1:1:.44]

    x,y = np.mgrid[-1:1:.44, -1:1:.44]

    print(x.shape)

    print(x.shape)

SameTableEncoder.ipynb

deleted100644 → 0
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WorkingPyDemo.py

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@@ -515,7 +515,7 @@ def text_to_tiff(filename, list_dic, bins): 




if __name__ == "__main__":

if __name__ == "__main__":

    

    

    scenes = file_extractor("averaged_images(11)")

    scenes = file_extractor("images")

    images = image_extractor(scenes)

    images = image_extractor(scenes)

    newnamesforlater = []

    newnamesforlater = []

    list_dic, bins = make_dictionary(images, 4, False)

    list_dic, bins = make_dictionary(images, 4, False)
@@ -534,16 +534,13 @@ if __name__ == "__main__": 
            newname = images[i][:-5]

            newname = images[i][:-5]

        else:

        else:

            newname = images[i][:-4]

            newname = images[i][:-4]

        # print(newname)



        newnamesforlater.append(newname + "_Compressed.txt")

        newnamesforlater.append(newname + "_Compressed.txt")

        with open(newname + "_Compressed.txt", 'wb') as f:

        with open(newname + "_Compressed.txt", 'wb') as f:

            f.write(inletters)

            f.write(inletters)

        file_sizes_new.append((os.path.getsize(newname + "_Compressed.txt")))

        file_sizes_new.append((os.path.getsize(newname + "_Compressed.txt")))

        file_sizes_old.append((os.path.getsize(images[i])))

        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_new)

    print(file_sizes_old)

    print(file_sizes_old)

    print(np.sum(file_sizes_new)/np.sum(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))

    print(np.sum(file_sizes_new)/np.sum(file_sizes_old))

    # list_dic = np.load("first_dic.npy", allow_pickle="TRUE")

    # list_dic = np.load("first_dic.npy", allow_pickle="TRUE")

    bins = [21,32,48]

    bins = [21,32,48]

    # os.system("ls")



    # for i,item in enumerate(newnamesforlater):

    # for i,item in enumerate(newnamesforlater):

    #     print(item)

    #     print(item)

    #     image, new_error, diff = huffman(images[i], 4, False)

    #     image, new_error, diff = huffman(images[i], 4, False)