minigrida/descriptors/dfc_base.py

40 lines
801 B
Python

#!/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'