Merge branch 'master' of https://git.elphel.com/nathaniel/image-compression

                images.append(os.path.join(folder, im))

    return images #returns a list of file paths to .tiff files in the specified directory given in file_extractor

def im_distribution(images):

    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))

    cameras = [tiff0, tiff1, tiff2, tiff3]

    im = Image.open(tiff0[0])

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

    print(im)

def im_distribution(images, num):

    """

    Function that extracts tiff files from specific cameras and returns a list of all

    the tiff files corresponding to that camera. i.e. all pictures labeled "_7.tiff" or otherwise

    specified camera numbers.

    Parameters:

        images (list): list of all tiff files, regardless of classification. This is NOT a list of directories but

        of specific tiff files that can be opened right away. This is the list that we iterate through and 

        divide.

        num (str): a string designation for the camera number that we want to extract i.e. "14" for double digits

        of "_1" for single digits.

    Returns:

        tiff (list): A list of tiff files that have the specified designation from num. They are the files extracted

        from the 'images' list that correspond to the given num.

    """

    tiff = []

    for im in images:

        if im[-7:-6] == num:

            tiff.append(im)

    return tiff

def plot_hist(tiff_list):

    """

    This function is the leftovers from the first attempt to plot histograms.

    As it stands it needs some work in order to function again. We will

    fix this later. 1/25/22

    """

    jj = 0

    fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(15,12))

    for cam, ax in zip(cameras, axs.ravel()):