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() config.update({'dtype': 'uint8', 'compression': 'gzip', 'chunks': None, 'gpu_type': '2080Ti', 'device_mapping': None, 'use_best': True, 'prep_model': None, 'channel_accumulation': None}) return config
def default_task_config(): config = LocalTask.default_task_config() # different modes for adding lifted edges: # "all": add lifted edges between all nodes that have a label # "same": add lifted edges only between nodes with the same label # "different": add lifted edges only between nodes with different labels config.update({'mode': 'all'}) return config
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({ 'chunks': None, 'compression': 'gzip', 'reduce_channels': 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(): 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({ '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({ '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({ '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({ '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() # 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({ '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(): # 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(): config = LocalTask.default_task_config() config.update({'erode_by': 6, 'zero_objects_list': None, 'chunks': None, 'dilate_by': 2, '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({'apply_in_2d': False}) 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() 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(): # 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({'ignore_label_gt': False}) 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({'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({'filter_shape': (10, 100, 100)}) return config