Commit 2d3dd3c8 authored by Davis King's avatar Davis King

Exposed the image_dataset_metadata routines for parsing XML datasets to Python.

parent 8fd9c26f
......@@ -79,6 +79,7 @@ set(python_srcs
src/face_recognition.cpp
src/cnn_face_detector.cpp
src/global_optimization.cpp
src/image_dataset_metadata.cpp
)
# Only add the Numpy returning functions if Numpy is present
......
......@@ -26,6 +26,7 @@ void bind_face_recognition(py::module& m);
void bind_cnn_face_detection(py::module& m);
void bind_global_optimization(py::module& m);
void bind_numpy_returns(py::module& m);
void bind_image_dataset_metadata(py::module& m);
#ifndef DLIB_NO_GUI_SUPPORT
void bind_gui(py::module& m);
......@@ -101,4 +102,8 @@ PYBIND11_MODULE(dlib, m)
#ifndef DLIB_NO_GUI_SUPPORT
bind_gui(m);
#endif
bind_image_dataset_metadata(m);
}
// Copyright (C) 2018 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#include <dlib/python.h>
#include <dlib/data_io.h>
#include <pybind11/stl_bind.h>
#include <pybind11/stl.h>
namespace pybind11
{
// a version of bind_map that doesn't force it's own __repr__ on you.
template <typename Map, typename holder_type = std::unique_ptr<Map>, typename... Args>
class_<Map, holder_type> bind_map_no_default_repr(handle scope, const std::string &name, Args&&... args) {
using KeyType = typename Map::key_type;
using MappedType = typename Map::mapped_type;
using Class_ = class_<Map, holder_type>;
// If either type is a non-module-local bound type then make the map binding non-local as well;
// otherwise (e.g. both types are either module-local or converting) the map will be
// module-local.
auto tinfo = detail::get_type_info(typeid(MappedType));
bool local = !tinfo || tinfo->module_local;
if (local) {
tinfo = detail::get_type_info(typeid(KeyType));
local = !tinfo || tinfo->module_local;
}
Class_ cl(scope, name.c_str(), pybind11::module_local(local), std::forward<Args>(args)...);
cl.def(init<>());
cl.def("__bool__",
[](const Map &m) -> bool { return !m.empty(); },
"Check whether the map is nonempty"
);
cl.def("__iter__",
[](Map &m) { return make_key_iterator(m.begin(), m.end()); },
keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
);
cl.def("items",
[](Map &m) { return make_iterator(m.begin(), m.end()); },
keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
);
cl.def("__getitem__",
[](Map &m, const KeyType &k) -> MappedType & {
auto it = m.find(k);
if (it == m.end())
throw key_error();
return it->second;
},
return_value_policy::reference_internal // ref + keepalive
);
// Assignment provided only if the type is copyable
detail::map_assignment<Map, Class_>(cl);
cl.def("__delitem__",
[](Map &m, const KeyType &k) {
auto it = m.find(k);
if (it == m.end())
throw key_error();
return m.erase(it);
}
);
cl.def("__len__", &Map::size);
return cl;
}
}
using namespace dlib;
using namespace std;
using namespace dlib::image_dataset_metadata;
namespace py = pybind11;
typedef std::map<std::string,point> parts_list_type;
PYBIND11_MAKE_OPAQUE(parts_list_type);
dataset py_load_image_dataset_metadata(
const std::string& filename
)
{
dataset temp;
load_image_dataset_metadata(temp, filename);
return temp;
}
std::shared_ptr<std::map<std::string,point>> map_from_object(py::dict obj)
{
auto ret = std::make_shared<std::map<std::string,point>>();
for (auto& v : obj)
{
(*ret)[v.first.cast<std::string>()] = v.second.cast<point>();
}
return ret;
}
void bind_image_dataset_metadata(py::module &m_)
{
auto m = m_.def_submodule("image_dataset_metadata", "Routines and objects for working with dlib's image dataset metadata XML files.");
auto datasetstr = [](const dataset& item) { return "dlib.dataset_dataset_metadata.dataset: images:" + to_string(item.images.size()) + ", " + item.name; };
auto datasetrepr = [datasetstr](const dataset& item) { return "<"+datasetstr(item)+">"; };
py::class_<dataset>(m, "dataset",
"This object represents a labeled set of images. In particular, it contains the filename for each image as well as annotated boxes.")
.def("__str__", datasetstr)
.def("__repr__", datasetrepr)
.def_readwrite("images", &dataset::images)
.def_readwrite("comment", &dataset::comment)
.def_readwrite("name", &dataset::name);
auto imagestr = [](const image& item) { return "dlib.image_dataset_metadata.image: boxes:"+to_string(item.boxes.size())+ ", " + item.filename; };
auto imagerepr = [imagestr](const image& item) { return "<"+imagestr(item)+">"; };
py::class_<image>(m, "image", "This object represents an annotated image.")
.def_readwrite("filename", &image::filename)
.def("__str__", imagestr)
.def("__repr__", imagerepr)
.def_readwrite("boxes", &image::boxes);
auto partsstr = [](const std::map<std::string,point>& item) {
std::ostringstream sout;
sout << "{";
for (auto& v : item)
sout << "'" << v.first << "': " << v.second << ", ";
sout << "}";
return sout.str();
};
auto partsrepr = [](const std::map<std::string,point>& item) {
std::ostringstream sout;
sout << "dlib.image_dataset_metadata.parts({\n";
for (auto& v : item)
sout << "'" << v.first << "': dlib.point" << v.second << ",\n";
sout << "})";
return sout.str();
};
py::bind_map_no_default_repr<std::map<std::string,point>, std::shared_ptr<std::map<std::string,point>> >(m, "parts",
"This object is a dictionary mapping string names to object part locations.")
.def(py::init(&map_from_object))
.def("__str__", partsstr)
.def("__repr__", partsrepr);
auto rectstr = [](const rectangle& r) {
std::ostringstream sout;
sout << "dlib.rectangle(" << r.left() << "," << r.top() << "," << r.right() << "," << r.bottom() << ")";
return sout.str();
};
auto boxstr = [rectstr](const box& item) { return "dlib.image_dataset_metadata.box at " + rectstr(item.rect); };
auto boxrepr = [boxstr](const box& item) { return "<"+boxstr(item)+">"; };
py::class_<box> pybox(m, "box",
"This object represents an annotated rectangular area of an image. \n"
"It is typically used to mark the location of an object such as a \n"
"person, car, etc.\n"
"\n"
"The main variable of interest is rect. It gives the location of \n"
"the box. All the other variables are optional." ); pybox
.def("__str__", boxstr)
.def("__repr__", boxrepr)
.def_readwrite("rect", &box::rect)
.def_readonly("parts", &box::parts)
.def_readwrite("label", &box::label)
.def_readwrite("difficult", &box::difficult)
.def_readwrite("truncated", &box::truncated)
.def_readwrite("occluded", &box::occluded)
.def_readwrite("ignore", &box::ignore)
.def_readwrite("pose", &box::pose)
.def_readwrite("detection_score", &box::detection_score)
.def_readwrite("angle", &box::angle)
.def_readwrite("gender", &box::gender)
.def_readwrite("age", &box::age);
py::enum_<gender_t>(pybox,"gender_type")
.value("MALE", gender_t::MALE)
.value("FEMALE", gender_t::FEMALE)
.value("UNKNOWN", gender_t::UNKNOWN)
.export_values();
m.def("save_image_dataset_metadata", &save_image_dataset_metadata, py::arg("data"), py::arg("filename"),
"Writes the contents of the meta object to a file with the given filename. The file will be in an XML format."
);
m.def("load_image_dataset_metadata", &py_load_image_dataset_metadata, py::arg("filename"),
"Attempts to interpret filename as a file containing XML formatted data as produced "
"by the save_image_dataset_metadata() function. The data is loaded and returned as a dlib.image_dataset_metadata.dataset object."
);
}
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment