def __init__(self,
reader,
data_param,
batch_size,
windows_per_image,
queue_length=10):
UniformSampler.__init__(self,
reader=reader,
data_param=data_param,
batch_size=batch_size,
windows_per_image=windows_per_image,
queue_length=queue_length)
tf.logging.info('Initialised balanced sampler window instance')
self.window_centers_sampler = balanced_spatial_coordinates
def __init__(self,
reader,
data_param,
batch_size,
windows_per_image,
queue_length=10):
UniformSampler.__init__(self,
reader=reader,
data_param=data_param,
batch_size=batch_size,
windows_per_image=windows_per_image,
queue_length=queue_length)
tf.logging.info('Initialised weighted sampler window instance')
self.spatial_coordinates_generator = weighted_spatial_coordinates
def __init__(self,
reader,
data_param,
batch_size,
windows_per_image,
queue_length=10,
name='weighted_sampler'):
UniformSampler.__init__(self,
reader=reader,
data_param=data_param,
batch_size=batch_size,
windows_per_image=windows_per_image,
queue_length=queue_length,
name=name)
tf.logging.info('Initialised weighted sampler window instance')
self.window_centers_sampler = weighted_spatial_coordinates
def __init__(self,
reader,
data_param,
batch_size,
windows_per_image,
constraint,
random_windows_per_image=0,
queue_length=10):
UniformSampler.__init__(self,
reader=reader,
data_param=data_param,
batch_size=batch_size,
windows_per_image=windows_per_image,
queue_length=queue_length)
self.constraint = constraint
self.n_samples_rand = random_windows_per_image
self.spatial_coordinates_generator = \
self.selective_spatial_coordinates()
tf.logging.info('initialised selective sampling')
def __init__(self,
reader,
data_param,
batch_size,
windows_per_image,
constraint,
random_windows_per_image=0,
queue_length=10):
UniformSampler.__init__(self,
reader=reader,
data_param=data_param,
batch_size=batch_size,
windows_per_image=windows_per_image,
queue_length=queue_length)
self.constraint = constraint
self.n_samples_rand = random_windows_per_image
self.spatial_coordinates_generator = \
self.selective_spatial_coordinates()
tf.logging.info('initialised selective sampling')
