#!/usr/bin/python
# -*- coding: utf-8 -*-
# \file dfc_base.py
# \brief TODO
# \author Florent Guiotte <florent.guiotte@gmail.com>
# \version 0.1
# \date 27 août 2018
#
# TODO details

import numpy as np
import ld2dap

def run(rasters, treshold=1e4):
    """DFC base, aka no local description before learning.

    Simply stack layers as description vectors.

    """
    # Parse parameters type
    treshold = float(treshold)

    # Pipelines
    loader = ld2dap.LoadTIFF(rasters)
    dfc_filter = ld2dap.Treshold(treshold)
    normalize = ld2dap.Normalize(dtype=np.uint8)
    raw_out = ld2dap.RawOutput()

    raw_out.input = normalize
    normalize.input = dfc_filter
    dfc_filter.input = loader

    # Compute vectors
    raw_out.run()

    return raw_out.data

def version():
    return 'v0.0'