BagOfVisualWordsTPoint, TFeature, TClustering, TExtractor Methods

Computes the Bag of Words model.

Computes the Bag of Words model.

Computes the Bag of Words model.

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Executes a parallel for using the feature detector in a thread-safe way.

Gets the codeword representation of a given image.

Gets the codeword representation of a given image.

Gets the codeword representation of a given image.

Gets the codeword representation of a given image.

Serves as the default hash function.

Gets the Type of the current instance.

Initializes this instance.

Generic learn method implementation that should work for any input type. This method is useful for re-using code between methods that accept Bitmap, BitmapData, UnmanagedImage, filenames as strings, etc.

Learns a model that can map the given inputs to the desired outputs.

Learns a model that can map the given inputs to the desired outputs.

Learns a model that can map the given inputs to the desired outputs.

Learns a model that can map the given inputs to the desired outputs.

Creates a shallow copy of the current Object.

Saves the bag of words to a stream.

Saves the bag of words to a file.

Returns a string that represents the current object.

Applies the transformation to an input, producing an associated output.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to an input, producing an associated output.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to an input, producing an associated output.

Applies the transformation to an input, producing an associated output.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.