Made decision functions and segmenter objects callable like normal functions.

python_examples/sequence_segmenter.py

@@ -156,15 +156,15 @@ model = dlib.train_sequence_segmenter(training_sequences, segments, params)
 # which are predicted to contain names.  If you run this example program you will see that
 # it gets them all correct. 
 for i in range(len(sentences)):
-    print_segment(sentences[i], model.segment_sequence(training_sequences[i]))
+    print_segment(sentences[i], model(training_sequences[i]))
 
 # Lets also try segmenting a new sentence.  This will print out "Bob Bucket".  Note that we
 # need to remember to use the same vector representation as we used during training.
 test_sentence = "There once was a man from Nantucket whose name rhymed with Bob Bucket"
 if use_sparse_vects:
-    print_segment(test_sentence, model.segment_sequence(sentence_to_sparse_vectors(test_sentence)))
+    print_segment(test_sentence, model(sentence_to_sparse_vectors(test_sentence)))
 else:
-    print_segment(test_sentence, model.segment_sequence(sentence_to_vectors(test_sentence)))
+    print_segment(test_sentence, model(sentence_to_vectors(test_sentence)))
 
 # We can also measure the accuracy of a model relative to some labeled data.  This
 # statement prints the precision, recall, and F1-score of the model relative to the data in

tools/python/src/decision_functions.cpp

@@ -42,7 +42,7 @@ void add_df (
 {
     typedef decision_function<kernel_type> df_type;
     class_<df_type>(name.c_str())
-        .def("predict", &predict<df_type>)
+        .def("__call__", &predict<df_type>)
         .def_pickle(serialize_pickle<df_type>());
 }
 
@@ -94,7 +94,7 @@ void add_linear_df (
 {
     typedef decision_function<kernel_type> df_type;
     class_<df_type>(name.c_str())
-        .def("predict", predict<df_type>)
+        .def("__call__", predict<df_type>)
         .add_property("weights", &get_weights<df_type>)
         .add_property("bias", get_bias<df_type>, set_bias<df_type>)
         .def_pickle(serialize_pickle<df_type>());

tools/python/src/sequence_segmenter.cpp

@@ -795,8 +795,8 @@ train_sequence_segmenter() and cross_validate_sequence_segmenter() routines.   "
         .def_pickle(serialize_pickle<segmenter_params>());
 
     class_<segmenter_type> ("segmenter_type")
-        .def("segment_sequence", &segmenter_type::segment_sequence_dense)
-        .def("segment_sequence", &segmenter_type::segment_sequence_sparse)
+        .def("__call__", &segmenter_type::segment_sequence_dense)
+        .def("__call__", &segmenter_type::segment_sequence_sparse)
         .def_readonly("weights", &segmenter_type::get_weights)
         .def_pickle(serialize_pickle<segmenter_type>());