# -*- coding: utf-8 -*-

import numpy as np

# Convolutional Neural Network
MODEL_PATH = './trained_models/'
IMAGE_PATH = './data/'
# IMAGE_PATH = './data/original_images/'
IMAGE_SHAPE = (32, 32, 3)
BATCH_SIZE = 64
MAX_STEPS = 5000
ALPHA = 1e-4
BETA = 1e-2

TAGS = np.array(
       ['agriculture', 'artisinal_mine', 'bare_ground', 'blooming',
        'blow_down', 'clear', 'cloudy', 'conventional_mine', 'cultivation',
        'habitation', 'haze', 'partly_cloudy', 'primary', 'road',
        'selective_logging', 'slash_burn', 'water'])

# TAGS_WEIGHTINGS = [0.8941, 0.9971, 0.9926, 0.9971, 0.9991, 0.7579, 0.98,
#                    0.9991, 0.961, 0.9686, 0.9769, 0.9378, 0.6751, 0.9307,
#                    0.9971, 0.9982, 0.9377]
TAGS_WEIGHTINGS = [0.8941, 0.9971, 0.9926, 0.9971, 0.9991, 0.10, 0.98,
                   0.9991, 0.961, 0.9686, 0.9769, 0.9378, 0.05, 0.9307,
                   0.9971, 0.9982, 0.9377]

# TAGS_WEIGHTINGS = [3.0669, 111.6224, 44.0512, 113.9759, 374.6535, 1.3417,
#                    16.2403, 378.4, 8.322, 10.3332, 14.0408, 5.2186, 1.0,
#                    4.6855, 111.2941, 181.0526, 5.2107]

# -*- coding: utf-8 -*-

import numpy as np

# Convolutional Neural Network
MODEL_PATH = './trained_models/'
IMAGE_PATH = './data/'
# IMAGE_PATH = './data/original_images/'
IMAGE_SHAPE = (32, 32, 3)
BATCH_SIZE = 64
MAX_STEPS = 5000
ALPHA = 1e-4
BETA = 1e-2

TAGS = np.array(
       ['agriculture', 'artisinal_mine', 'bare_ground', 'blooming',
        'blow_down', 'clear', 'cloudy', 'conventional_mine', 'cultivation',
        'habitation', 'haze', 'partly_cloudy', 'primary', 'road',
        'selective_logging', 'slash_burn', 'water'])

TAGS_WEIGHTINGS = [0.8941, 0.9971, 0.9926, 0.9971, 0.9991, 0.7579, 0.98,
                   0.9991, 0.961, 0.9686, 0.9769, 0.9378, 0.6751, 0.9307,
                   0.9971, 0.9982, 0.9377]

# TAGS_WEIGHTINGS = [0.8941, 0.9971, 0.9926, 0.9971, 0.9991, 0.10, 0.98,
#                    0.9991, 0.961, 0.9686, 0.9769, 0.9378, 0.05, 0.9307,
#                    0.9971, 0.9982, 0.9377]

# TAGS_WEIGHTINGS = [3.0669, 111.6224, 44.0512, 113.9759, 374.6535, 1.3417,
#                    16.2403, 378.4, 8.322, 10.3332, 14.0408, 5.2186, 1.0,
#                    4.6855, 111.2941, 181.0526, 5.2107]

update params