def get_default_config(self):
config = BasicModel.get_default_config(self)
model_config = {
'stride':
1,
'inception_v4_checkpoint_file':
os.path.join(script_dir, '..', 'data', 'inception_v4.ckpt'),
'batch_norm_decay':
0.99,
'batch_norm_epsilon':
0.001,
'output_size':
29,
'pad':
32,
'receptive_field_size':
66,
'projective_field_size':
7,
'contextual_pad':
32,
'normalize_inputs':
False,
'batch_size':
64,
}
config.update(model_config)
return config
def get_default_config(self):
config = BasicModel.get_default_config(self)
model_config = {
'stride': 1,
'img_rows_target': 289,
'img_cols_target': 289,
'normalize_inputs': True,
}
config.update(model_config)
return config
def get_default_config(self):
config = BasicModel.get_default_config(self)
model_config = {
'stride':
1,
'inception_v4_checkpoint_file':
os.path.join(script_dir, '..', 'data', 'inception_v4.ckpt'),
'batch_norm_decay':
0.9,
'batch_norm_epsilon':
0.001,
'output_size':
29, # Projective field size at Mixed_5b
'pad':
32,
'receptive_field_size':
2 * 33,
'projective_field_size':
7,
'target_context_pad':
23, # ~(7./2.) / (128./33.)
'target_embedding_pad':
16,
# The contextual pad should be less than 48, which is half of the
# difference of the receptive fields of Mixed_5a and Mixed_5d, i.e. the
# number of pixels that the additional receptive field can look ahead. It
# should also not include so much black borders from data augmentation.
'contextual_pad':
32,
# Excluding the additional pad needed in order to get the full receptive
# field into view.
'large_contextual_pad_unpadded':
128,
'large_contextual_pad':
128 + 66,
'normalize_inputs':
False,
'batch_size':
4,
'hidden_state_size':
96,
'draw_border':
True,
'loss_function':
'l17',
}
config.update(model_config)
return config