def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'agglomerator': 'kernighan-lin',
'time_limit_solver': None
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'resolution': None,
'size_filter': 10,
'chunk_len': 1000
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'chunks': None,
'compression': 'gzip',
'reduce_channels': None
})
return config
def default_task_config():
config = LocalTask.default_task_config()
# intra_label_cost: cost of lifted edge connecting two nodes with the same node label
# by default we set this to be very attractive (6 is close to the usual max val for costs)
# inter_label_cost: cost of lifted edge connecting two nodes with different node labels
# by default we set this to be very repulsive
config.update({'intra_label_cost': 6.,
'inter_label_cost': -6.})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'channel_begin': 0,
'channel_end': None,
'agglomerate_channels': 'mean',
'size_filter': 0
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'threshold': .5,
'apply_dt_2d': True, 'pixel_pitch': None,
'apply_ws_2d': True, 'sigma_seeds': 2., 'size_filter': 25,
'sigma_weights': 2., 'halo': [0, 0, 0],
'two_pass': False, 'channel_begin': 0, 'channel_end': None,
'alpha': 0.8})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'library': 'vigra',
'chunks': None,
'compression': 'gzip',
'library_kwargs': None
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'strides': [1, 1, 1],
'randomize_strides': False,
'size_filter': 25,
'noise_level': 0.
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'chunks': None,
'compression': 'gzip',
'fill_value': 0,
'sigma_anti_aliasing': None
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'dtype': 'uint8',
'compression': 'gzip',
'chunks': None,
'gpu_type': '2080Ti',
'set_visible_device': False
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'invert_inputs': False,
'transform_to_costs': True,
'weight_edges': False,
'weighting_exponent': 1.,
'beta': 0.5
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
# Parameters:
# erode_by - erosion of seeds.
# channel - channel that will be used for multiscale inputs
# dtype - output dtype
# chunks - output chunks
config.update({'erode_by': 12, 'channel': 0, 'dtype': 'uint64', 'chunks': None,
'erode_3d': True})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'threshold': .5,
'apply_dt_2d': True, 'pixel_pitch': None,
'apply_ws_2d': True, 'sigma_seeds': 2., 'size_filter': 25,
'sigma_weights': 2., 'halo': [0, 0, 0],
'channel_begin': 0, 'channel_end': None,
'agglomerate_channels': 'mean', 'alpha': 0.8,
'invert_inputs': False, 'non_maximum_suppression': True})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'n_channels': 1,
'dtype': 'uint8',
'compression': 'compression',
'chunks': (25, 256, 256),
'halo': None
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'offsets': None,
'filters': None,
'sigmas': None,
'halo': [0, 0, 0],
'apply_in_2d': False,
'channel_agglomeration': 'mean'
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'chunks': None,
'compression': 'gzip',
'reduce_channels': None,
'map_uniform_blocks_to_background': False,
'value_list': None,
'offset': None,
'insert_mode': False
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'dtype': 'uint8',
'compression': 'gzip',
'chunks': None,
'gpu_type': '2080Ti',
'device_mapping': None,
'use_best': True,
'tda_config': {},
'prep_model': None
})
return config
def default_task_config():
# parameter:
# use_mala_agglomeration: whether to use thresholding based mala agglomeration
# or element number based agglomerative clustering
# threshold: threshold up to which to agglomerate (mala) or fraction of nodes
# after agglomeration (agglomerative clustering)
# size_regularizer: size regularizer in agglomerative clustering (wardness)
# invert_inputs: do we need to invert the inputs?
# offsets: offsets for affinities, set to None for boundaries
config = LocalTask.default_task_config()
config.update({'use_mala_agglomeration': True, 'threshold': .9,
'size_regularizer': .5, 'invert_inputs': False,
'offsets': None})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({
'dtype': 'uint8',
'compression': 'gzip',
'chunks': None,
'device_mapping': None,
'use_best': True,
'tda_config': {},
'prep_model': None,
"gpu_type": "2080Ti",
'channel_accumulation': None,
'mixed_precision': False,
'preprocess_kwargs': {}
})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'accumulation_method': 'sum'})
return config
def default_task_config():
config = LocalTask.default_task_config()
# TODO do we need task specific stuff ?
# config.update({})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'ignore_label_gt': False})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'halo': None, 'pixel_pitch': None})
return config
def default_task_config():
config = LocalTask.default_task_config()
config.update({'compression': 'gzip'})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'apply_in_2d': False})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'chunks': None, 'allow_empty_assignments': False})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'sigma_prefilter': 0})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
config.update({'filter_shape': (10, 100, 100)})
return config
def default_task_config():
# we use this to get also get the common default config
config = LocalTask.default_task_config()
return config
def default_task_config():
config = LocalTask.default_task_config()
config.update({'erode_by': 6, 'zero_objects_list': None,
'chunks': None, 'dilate_by': 2, 'erode_3d': True})
return config
