Latest experimentations with tiff images

if __name__ == '__main__':

    """For boundary cases: Start by grabbing the shape of the images and saving those

    as variables. Then, if statements for if row == 0 or row == maximum and if

    col == 0 or col == maximum. Then grab corresponding open pixels. Then proceed to do

    an and statement that handles the corners"""

    tiff0 = []

    tiff1 = []

    tiff2 = []

    tiff3 = []

    files = os.listdir("images")

    scenes = []

    for file in files:

        scene = os.path.join("images", file)

        sc = os.listdir(scene)

        for s in sc:

            if s[-6] == '0':

                tiff0.append(os.path.join(scene, s))

            elif s[-6] == '1':

                tiff1.append(os.path.join(scene, s))

            elif s[-6] == '2':

                tiff2.append(os.path.join(scene, s))

            elif s[-6] == '3':

                tiff3.append(os.path.join(scene, s))

    image = Image.open("practice_tiff.tiff")

    image2 = Image.open("practice2.tiff")

    imarray2 = np.array(image2)

    imarray = np.array(image)

    work = imarray2[:,:,0]

    ind1, ind2 = np.random.randint(0,434), np.random.randint(0,650)

    diff = []

    for ii in range(len(tiff1)):

        image = Image.open(tiff1[ii])

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

        ar1, ar2 = image.shape

        ind1, ind2 = np.random.randint(0,ar1), np.random.randint(0,ar2)

        surrounding = []

        for i,j in product(np.arange(-1,2), repeat=2):

            if i == 0 and j == 0:

                continue

            else:

            surrounding.append(work[ind1+i, ind1+j])

    diff = []

                surrounding.append(image[ind1+i, ind1+j])

        diff.append(np.max(surrounding)-np.min(surrounding))

    print(surrounding)

    print(diff)

    """For boundary cases: Start by grabbing the shape of the images and saving those

    as variables. Then, if statements for if row == 0 or row == maximum and if

    col == 0 or col == maximum. Then grab corresponding open pixels. Then proceed to do

    an and statement that handles the corners"""

    """scene_names = file_extractor()

    """scene_names = file_extractor("images")

    images = image_extractor(scene_names)

    im = Image.open(images[0])

    imarray = np.array(im)