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))