Commit 0f3da6d0 authored by Bryce Hepner's avatar Bryce Hepner
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medium update

parent 2022b169

GraphMaker.ipynb

+584 −156

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Remove_Noise.py

+8 −7
Original line number Diff line number Diff line
@@ -215,8 +215,8 @@ def save_testable_images(images, selected_channel, quantity_of_images): 


    selected_images = np.array(images)[image_locations]



    average_image = np.array(Image.open("Average_On_Channel(" + selected_channel + ").tiff"))

    images_in_each_direction = 80

    # average_image = np.array(Image.open("Average_On_Channel(" + selected_channel + ").tiff"))

    # images_in_each_direction = 80

    for i, item in enumerate(selected_images):

        # if image_locations[i] < images_in_each_direction:

        #     average_image = remote_create_average(images[image_locations[i] - image_locations[i]: image_locations[i] + images_in_each_direction + image_locations[i]], selected_channel)
@@ -226,13 +226,14 @@ def save_testable_images(images, selected_channel, quantity_of_images): 
        #     average_image = remote_create_average(images[image_locations[i] - images_in_each_direction: image_locations[i] + images_in_each_direction], selected_channel)

        image = Image.open(sftp_client.open(item))

        wherelastslash = item.rfind("/")

        image = np.array(image)[1:]

        # image = np.array(image)[1:]

        image = np.array(image)

        savable_original = Image.fromarray(image)

        savable_original.save("original_images(" + selected_channel + ")/innerfolder/original" + item[wherelastslash + 1:])

        altered_image = adjust_to_original(image, average_image)

        altered_image = Image.fromarray(altered_image)

        # altered_image = adjust_to_original(image, average_image)

        # altered_image = Image.fromarray(altered_image)

        

        altered_image.save("averaged_images(" + selected_channel + ")/innerfolder" + item[wherelastslash:])

        # altered_image.save("averaged_images(" + selected_channel + ")/innerfolder" + item[wherelastslash:])

        # average_image = Image.fromarray(average_image)



    sftp_client.close()
@@ -270,7 +271,7 @@ if __name__ == "__main__": 
    images = remote_image_extractor(scenes)

    images = find_only_in_channel(images, "11")

    # average_image = np.array(Image.open("Average_On_Channel(" + "11" + ").tiff"))

    # save_testable_images(images,"11",5)

    save_testable_images(images,"11",500)

    # plt.imshow(color_adjust(average_image),cmap='gray',vmin = 0, vmax=1)

    # plt.show()

WorkingPyDemo.py

+2 −2
Original line number Diff line number Diff line
@@ -113,7 +113,7 @@ def predict_pix(tiff_image_path, difference = True): 
        #The res is the residuals of the four points used to fit the hyperplane (summed distance of each of the 

        #points to the hyperplane), it is a measure of gradient

        f, diff, rank, s = la.lstsq(points, neighbor.T, rcond=None)

        diff = diff.astype(int)

        # diff = diff.astype(int)

        # Pinv = np.linalg.pinv(points)

        # b = [z0,z1,z2,z3]

        # x = Pinv@np.array(b)
@@ -461,7 +461,7 @@ def decoder(encoded_string, list_dic, bins, use_diff): 
                    # x = Pinv@np.array(b)

                    # difference = np.linalg.norm(b - points@x,ord=2)

                    f, difference, rank, s = la.lstsq(points, [z0,z1,z2,z3], rcond=None) 

                    difference = difference.astype(int)

                    # difference = difference.astype(int)

                    

                # predict = np.round(np.round(np.linalg.solve(A,y)[-1][0],1))

                predict = np.round(np.round((Ainv[-1]@y)[0],1))

first_dict.npy

−1.11 KiB (225 KiB)

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