def build_evaluator(cfg, **kwargs):
avai_evaluators = EVALUATOR_REGISTRY.registered_names()
check_availability(cfg.TEST.EVALUATOR, avai_evaluators)
if cfg.VERBOSE:
print('Loading evaluator: {}'.format(cfg.TEST.EVALUATOR))
return EVALUATOR_REGISTRY.get(cfg.TEST.EVALUATOR)(cfg, **kwargs)
def build_backbone(name, verbose=True, **kwargs):
avai_backbones = BACKBONE_REGISTRY.registered_names()
check_availability(name, avai_backbones)
if verbose:
print('Backbone: {}'.format(name))
return BACKBONE_REGISTRY.get(name)(**kwargs)
def build_model(name, verbose=True, **kwargs):
avai_models = MODEL_REGISTRY.registered_names()
check_availability(name, avai_models)
if verbose:
print('Model: {}'.format(name))
return MODEL_REGISTRY.get(name)(**kwargs)
def build_network(name, verbose=True, **kwargs):
avai_models = NETWORK_REGISTRY.registered_names()
check_availability(name, avai_models)
if verbose:
print('Network: {}'.format(name))
return NETWORK_REGISTRY.get(name)(**kwargs)
def build_dataset(cfg):
avai_datasets = DATASET_REGISTRY.registered_names()
check_availability(cfg.DATASET.NAME, avai_datasets)
if cfg.VERBOSE:
print('Loading dataset: {}'.format(cfg.DATASET.NAME))
return DATASET_REGISTRY.get(cfg.DATASET.NAME)(cfg)
def build_trainer(cfg):
avai_trainers = TRAINER_REGISTRY.registered_names()
check_availability(cfg.TRAINER.NAME, avai_trainers)
if cfg.VERBOSE:
print('Loading trainer: {}'.format(cfg.TRAINER.NAME))
return TRAINER_REGISTRY.get(cfg.TRAINER.NAME)(cfg)
def build_head(name, verbose=True, **kwargs):
avai_heads = HEAD_REGISTRY.registered_names()
check_availability(name, avai_heads)
if verbose:
print('Head: {}'.format(name))
return HEAD_REGISTRY.get(name)(**kwargs)