NextCloud/dlib
1
0
Fork 0
mirror of https://github.com/davisking/dlib.git synced 2024-11-01 10:14:53 +08:00
Code Issues Packages Projects Releases Wiki Activity

improved python docs

Browse Source
This commit is contained in:
Davis King 2014-02-23 16:18:04 -05:00
parent 2293c91e00
commit 4a9be7bba5
1 changed files with 44 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

50
tools/python/src/object_detection.cpp
View File

@ -225,17 +225,55 @@ void bind_object_detection()
{
using boost::python::arg;
class_<simple_object_detector_training_options>("simple_object_detector_training_options")
class_<simple_object_detector_training_options>("simple_object_detector_training_options",
"This object is a container for the options to the train_simple_object_detector() routine.")
.add_property("be_verbose", &simple_object_detector_training_options::be_verbose,
&simple_object_detector_training_options::be_verbose)
&simple_object_detector_training_options::be_verbose,
"If true, train_simple_object_detector() will print out a lot of information to the screen while training."
)
.add_property("add_left_right_image_flips", &simple_object_detector_training_options::add_left_right_image_flips,
&simple_object_detector_training_options::add_left_right_image_flips)
&simple_object_detector_training_options::add_left_right_image_flips,
"if true, train_simple_object_detector() will assume the objects are \n\
left/right symmetric and add in left right flips of the training \n\
images. This doubles the size of the training dataset."
/*!
if true, train_simple_object_detector() will assume the objects are
left/right symmetric and add in left right flips of the training
images. This doubles the size of the training dataset.
!*/
)
.add_property("detection_window_size", &simple_object_detector_training_options::detection_window_size,
&simple_object_detector_training_options::detection_window_size)
&simple_object_detector_training_options::detection_window_size,
"The sliding window used will have about this many pixels inside it.")
.add_property("C", &simple_object_detector_training_options::C,
&simple_object_detector_training_options::C)
&simple_object_detector_training_options::C,
"C is the usual SVM C regularization parameter. So it is passed to \n\
structural_object_detection_trainer::set_c(). Larger values of C \n\
will encourage the trainer to fit the data better but might lead to \n\
overfitting. Therefore, you must determine the proper setting of \n\
this parameter experimentally."
/*!
C is the usual SVM C regularization parameter. So it is passed to
structural_object_detection_trainer::set_c(). Larger values of C
will encourage the trainer to fit the data better but might lead to
overfitting. Therefore, you must determine the proper setting of
this parameter experimentally.
!*/
)
.add_property("num_threads", &simple_object_detector_training_options::num_threads,
&simple_object_detector_training_options::num_threads);
&simple_object_detector_training_options::num_threads,
"train_simple_object_detector() will use this many threads of \n\
execution. Set this to the number of CPU cores on your machine to \n\
obtain the fastest training speed."
/*!
train_simple_object_detector() will use this many threads of
execution. Set this to the number of CPU cores on your machine to
obtain the fastest training speed.
!*/
);
class_<simple_test_results>("simple_test_results")
.add_property("precision", &simple_test_results::precision)