beatmup.nnets.Classifier

class beatmup.nnets.Classifier

Image classifier base class. Makes a runnable AbstractTask from a Model. Adds an image input and a vector of probabilities for output.

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
add_connection(self, source_op, dest_op[, ...])	Adds a connection between two given ops.
add_operation(self, op_name, new_op)	Adds a new operation to the model before another operation in the execution order.
add_output(*args, **kwargs)	Overloaded function.
append(self, new_op[, connect])	Adds a new operation to the model.
connect(*args, **kwargs)	Overloaded function.
count_multiply_adds(self)	Provides an estimation of the number of multiply-adds characterizing the model complexity.
count_texel_fetches(self)	Provides an estimation of the total number of texels fetched by all the operations in the model per image.
get_first_operation(self)	Returns the first operation in the model
get_last_operation(self)	Returns the last operation in the model
get_output_data(*args, **kwargs)	Overloaded function.
get_probabilities(self)	Returns the last classification results (vector of probabilities per class).
serialize(self)	Returns serialized representation of the model as a string.
start(self, arg0)	Initiates the classification of a given image.