def incremental_model_builder(self, pipeline_params, args):
json_model_params = pipeline_params.get("json_model_params", False)
if not feature_params:
raise RuntimeError("You must supply feature_descriptor parameters for MMOD.")
#grab visualize if works.
visualize = getattr(args, 'visualize', False)
return MmodModelBuilder(json_model_params=dict_to_cpp_json_str(json_model_params), visualize=visualize)
def incremental_model_builder(self, pipeline_params, args):
json_model_params = pipeline_params.get("json_model_params", False)
if not feature_params:
raise RuntimeError(
"You must supply feature_descriptor parameters for MMOD.")
#grab visualize if works.
visualize = getattr(args, 'visualize', False)
return MmodModelBuilder(
json_model_params=dict_to_cpp_json_str(json_model_params),
visualize=visualize)
def incremental_model_builder(self, submethod, pipeline_params, args):
feature_params = pipeline_params.get("feature", False)
if not feature_params:
raise RuntimeError("You must supply feature_descriptor parameters for TOD.")
# merge it with the subtype
feature_descriptor_params = {"feature": feature_params, "descriptor": pipeline_params.get("descriptor", {})}
from object_recognition.tod import merge_dict
feature_descriptor_params = merge_dict(feature_descriptor_params, submethod)
# grab visualize if works.
visualize = getattr(args, "visualize", False)
return TODModelBuilder(
json_feature_descriptor_params=dict_to_cpp_json_str(feature_descriptor_params), visualize=visualize
)
def incremental_model_builder(self, submethod, pipeline_params, args):
feature_params = pipeline_params.get("feature", False)
if not feature_params:
raise RuntimeError(
"You must supply feature_descriptor parameters for TOD.")
# merge it with the subtype
feature_descriptor_params = {
'feature': feature_params,
'descriptor': pipeline_params.get('descriptor', {})
}
from object_recognition.tod import merge_dict
feature_descriptor_params = merge_dict(feature_descriptor_params,
submethod)
#grab visualize if works.
visualize = getattr(args, 'visualize', False)
return TODModelBuilder(
json_feature_descriptor_params=dict_to_cpp_json_str(
feature_descriptor_params),
visualize=visualize)
def post_processor(self, submethod, pipeline_params, _args):
search_params = pipeline_params.get("search", False)
if not search_params:
raise RuntimeError("You must supply search parameters for TOD.")
return TODPostProcessor(
json_search_params=dict_to_cpp_json_str(search_params))
def post_processor(self, submethod, pipeline_params, _args):
search_params = pipeline_params.get("search", False)
if not search_params:
raise RuntimeError("You must supply search parameters for TOD.")
return TODPostProcessor(json_search_params=dict_to_cpp_json_str(search_params))
