brookisme

brookisme

brookisme

brookisme

brookisme

import torch.nn as nn
import pytorch_nns.helpers as h
import pytorch_nns.functional as f

#
# HELPERS
#
def category_weights(
        count_dict,
        total=None,

brookisme

import numpy as np
import tensorflow as tf
import keras.backend as K


def weighted_categorical_crossentropy(weights):
    """ weighted_categorical_crossentropy
        Args:
            * weights<ktensor|nparray|list>: crossentropy weights

brookisme

import itertools
from multiprocessing import Process, cpu_count
from multiprocessing import Pool
from multiprocessing.pool import ThreadPool


#
# CONFIG
#
MAX_POOL_PROCESSES=cpu_count()-1

brookisme

brookisme

from __future__ import print_function
import re
import click
import rasterio


CLR_IDENT='clr'
CMAP={
    1: (48, 124, 38),
    2: (138, 216, 168),

brookisme

import sys
import httplib2
from googleapiclient import discovery
from oauth2client.client import GoogleCredentials
from oauth2client.service_account import ServiceAccountCredentials
from apiclient.http import MediaFileUpload

KEY_FILE='/.config/gclib/sa_key.json'
FT_SCOPE = 'https://www.googleapis.com/auth/fusiontables'
DRIVE_SCOPE = 'https://www.googleapis.com/auth/drive'