ksugar

# code picked up from https://github.com/keras-team/keras/blob/master/keras/backend/tensorflow_backend.py
# Just used tf.nn.weighted_cross_entropy_with_logits instead of tf.nn.sigmoid_cross_entropy_with_logits with input pos_weight in calculation
import tensorflow as tf
from keras import backend as K


""" Weighted binary crossentropy between an output tensor and a target tensor.
# Arguments
    pos_weight: A coefficient to use on the positive examples.
# Returns

ksugar

#!/usr/bin/env python
import argparse
from pathlib import Path

from timagetk.io import imread
from timagetk.io import imsave


def main(args):
    pin = Path(args.input)

ksugar

#! /usr/bin/env python
# ==============================================================================
# Copyright (c) 2023, Ko Sugawara
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1.  Redistributions of source code must retain the above copyright notice,
#     this list of conditions and the following disclaimer.