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train_pixtopix.py
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train_pixtopix.py
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import argparse
import tensorflow as tf
from mrtoct import model
INPUTS_MAX = 5200
TARGETS_MAX = 3700
MASKINGS_MAX = 10000
def train(inputs_path, targets_path, maskings_path, checkpoint_path, params):
estimator = tf.estimator.Estimator(
model_fn=model.gan_model_fn,
model_dir=checkpoint_path,
params=params)
def input_fn():
inputs, targets, maskings = model.train_slice_input_fn2(
inputs_div=INPUTS_MAX,
targets_div=TARGETS_MAX,
maskings_div=MASKINGS_MAX,
inputs_path=inputs_path,
targets_path=targets_path,
maskings_path=maskings_path,
slice_shape=params.slice_shape,
batch_size=params.batch_size)
return {'inputs': inputs, 'maskings': maskings}, {'targets': targets}
estimator.train(input_fn)
def main(args):
tf.logging.set_verbosity(tf.logging.INFO)
hparams = tf.contrib.training.HParams(
learn_rate=2e-4,
beta1_rate=5e-1,
batch_size=16,
slice_shape=[384, 384],
weight_factor=1e-2,
data_format='channels_first',
generator_fn=model.pixtopix.generator_fn,
discriminator_fn=model.pixtopix.discriminator_fn,
generator_loss_fn=tf.contrib.gan.losses.least_squares_generator_loss,
discriminator_loss_fn=tf.contrib.gan.losses.least_squares_discriminator_loss)
hparams.parse(args.hparams)
train(inputs_path=args.inputs_path,
targets_path=args.targets_path,
maskings_path=args.maskings_path,
checkpoint_path=args.checkpoint_path,
params=hparams)
if __name__ == '__main__':
parser = argparse.ArgumentParser('train')
parser.add_argument('--inputs-path', required=True)
parser.add_argument('--targets-path', required=True)
parser.add_argument('--maskings-path', required=True)
parser.add_argument('--checkpoint-path', required=True)
parser.add_argument('--hparams', type=str, default='')
main(parser.parse_args())