def collage(img_spec,
            num_rows=2,
            num_cols=6,
            rescale_method='global',
            cmap='gray',
            annot=None,
            padding=5,
            bkground_thresh=None,
            output_path=None,
            figsize=None,
            **kwargs):
    "Produces a collage of various slices from different orientations in the given 3D image"

    num_rows, num_cols, padding = check_params(num_rows, num_cols, padding)

    img = read_image(img_spec, bkground_thresh=bkground_thresh)
    img = crop_image(img, padding)

    img, (min_value, max_value) = check_rescaling_collage(img, rescale_method,
                                                          return_extrema=True)
    num_slices_per_view = num_rows * num_cols
    slices = pick_slices(img, num_slices_per_view)

    plt.style.use('dark_background')

    num_axes = 3
    if figsize is None:
        figsize = [3 * num_axes * num_rows, 3 * num_cols]
    fig, ax = plt.subplots(num_axes * num_rows, num_cols, figsize=figsize)

    # displaying some annotation text if provided
    if annot is not None:
        fig.suptitle(annot, backgroundcolor='black', color='g')

    display_params = dict(interpolation='none', cmap=cmap,
                          aspect='equal', origin='lower',
                          vmin=min_value, vmax=max_value)

    ax = ax.flatten()
    ax_counter = 0
    for dim_index in range(3):
        for slice_num in slices[dim_index]:
            plt.sca(ax[ax_counter])
            ax_counter = ax_counter + 1
            slice1 = get_axis(img, dim_index, slice_num)
            # slice1 = crop_image(slice1, padding)
            plt.imshow(slice1, **display_params)
            plt.axis('off')

    fig.tight_layout()

    if output_path is not None:
        output_path = output_path.replace(' ', '_')
        fig.savefig(output_path + '.png', bbox_inches='tight')

    # plt.close()

    return fig
Produces a collage of various slices from different orientations in the given 3D image