OrgLion-ML
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dlib
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repair old interface

This commit is contained in:
Jack Culpepper 2015-03-12 08:10:56 +00:00
parent f2f4e9d0bf
commit a12e1e71fa
2 changed files with 24 additions and 9 deletions
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2
tools/python/src/object_detection.cpp
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@ -342,7 +342,7 @@ ensures \n\
"Loads an object detector from a file that contains the output of the \n\
train_simple_object_detector() routine or a serialized C++ object of type\n\
object_detector<scan_fhog_pyramid<pyramid_down<6>>>.")
.def("__call__", run_detector_with_upscale, (arg("image"), arg("upsample_num_times")=0),
.def("__call__", run_detector_with_upscale2, (arg("image"), arg("upsample_num_times")=0),
"requires \n\
- image is a numpy ndarray containing either an 8bit grayscale or RGB \n\
image. \n\

31
tools/python/src/simple_object_detector_py.h
View File

@ -32,7 +32,8 @@ namespace dlib
}
}
inline std::vector<dlib::rectangle> run_detector_with_upscale (
inline std::vector<dlib::rectangle> run_detector_with_upscale1 (
dlib::simple_object_detector& detector,
boost::python::object img,
const unsigned int upsampling_amount,
@ -111,10 +112,23 @@ namespace dlib
}
}
inline std::vector<dlib::rectangle> run_detector_with_upscale2 (
dlib::simple_object_detector& detector,
boost::python::object img,
const unsigned int upsampling_amount
)
{
std::vector<double> detection_confidences;
std::vector<double> weight_indices;
return run_detector_with_upscale1(detector, img, upsampling_amount,
detection_confidences, weight_indices);
}
inline boost::python::tuple run_rect_detector (
dlib::simple_object_detector& detector,
boost::python::object img,
const unsigned int upsampling_amount)
dlib::simple_object_detector& detector,
boost::python::object img,
const unsigned int upsampling_amount)
{
boost::python::tuple t;
@ -122,8 +136,8 @@ namespace dlib
std::vector<double> weight_indices;
std::vector<rectangle> rectangles;
rectangles = run_detector_with_upscale(detector, img, upsampling_amount,
detection_confidences, weight_indices);
rectangles = run_detector_with_upscale1(detector, img, upsampling_amount,
detection_confidences, weight_indices);
return boost::python::make_tuple(rectangles,
detection_confidences, weight_indices);
@ -144,7 +158,7 @@ namespace dlib
std::vector<double> detection_confidences;
std::vector<double> weight_indices;
return run_detector_with_upscale(detector, img, upsampling_amount_,
return run_detector_with_upscale1(detector, img, upsampling_amount_,
detection_confidences, weight_indices);
}
@ -152,7 +166,8 @@ namespace dlib
{
std::vector<double> detection_confidences;
std::vector<double> weight_indices;
return run_detector_with_upscale(detector, img, upsampling_amount,
return run_detector_with_upscale1(detector, img, upsampling_amount,
detection_confidences, weight_indices);
}