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Python: Add grayscale overloads to get_face_chip (#2820) 

Closes #2736.
This commit is contained in:
Adrià Arrufat 2023-07-10 21:25:58 +09:00 committed by GitHub
parent 4e22715eb5
commit 8fc180545c
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GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 35 additions and 13 deletions
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48
tools/python/src/numpy_returns.cpp
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@ -82,8 +82,9 @@ py::list get_jitter_images(numpy_image<rgb_pixel> img, size_t num_jitters = 1, b
// ----------------------------------------------------------------------------------------
template <typename T>
py::list get_face_chips (
numpy_image<rgb_pixel> img,
numpy_image<T> img,
const std::vector<full_object_detection>& faces,
size_t size = 150,
float padding = 0.25
@ -99,7 +100,7 @@ py::list get_face_chips (
std::vector<chip_details> dets;
for (const auto& f : faces)
dets.push_back(get_face_chip_details(f, size, padding));
dlib::array<numpy_image<rgb_pixel>> face_chips;
dlib::array<numpy_image<T>> face_chips;
extract_image_chips(img, dets, face_chips);
for (const auto& chip : face_chips)
@ -110,14 +111,15 @@ py::list get_face_chips (
return chips_list;
}
numpy_image<rgb_pixel> get_face_chip (
numpy_image<rgb_pixel> img,
template <typename T>
numpy_image<T> get_face_chip (
numpy_image<T> img,
const full_object_detection& face,
size_t size = 150,
float padding = 0.25
)
{
numpy_image<rgb_pixel> chip;
numpy_image<T> chip;
extract_image_chip(img, get_face_chip_details(face, size, padding), chip);
return chip;
}
@ -152,13 +154,33 @@ void bind_numpy_returns(py::module &m)
py::arg("img"), py::arg("num_jitters")=1, py::arg("disturb_colors")=false
);
m.def("get_face_chip", &get_face_chip,
"Takes an image and a full_object_detection that references a face in that image and returns the face as a Numpy array representing the image. The face will be rotated upright and scaled to 150x150 pixels or with the optional specified size and padding.",
py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25
);
{
const char* docs = "Takes an image and a full_object_detection that references a face in that image and returns the face as a Numpy array representing the image. The face will be rotated upright and scaled to 150x150 pixels or with the optional specified size and padding.";
m.def("get_face_chip", &get_face_chip<uint8_t>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<uint16_t>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<uint32_t>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<uint64_t>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<int8_t>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<int16_t>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<int32_t>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<int64_t>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<float>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<double>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chip", &get_face_chip<rgb_pixel>, docs, py::arg("img"), py::arg("face"), py::arg("size")=150, py::arg("padding")=0.25);
}
m.def("get_face_chips", &get_face_chips,
"Takes an image and a full_object_detections object that reference faces in that image and returns the faces as a list of Numpy arrays representing the image. The faces will be rotated upright and scaled to 150x150 pixels or with the optional specified size and padding.",
py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25
);
{
const char* docs = "Takes an image and a full_object_detections object that reference faces in that image and returns the faces as a list of Numpy arrays representing the image. The faces will be rotated upright and scaled to 150x150 pixels or with the optional specified size and padding.";
m.def("get_face_chips", &get_face_chips<uint8_t>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<uint16_t>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<uint32_t>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<uint64_t>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<int8_t>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<int16_t>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<int32_t>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<int64_t>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<float>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<double>, docs, py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
m.def("get_face_chips", &get_face_chips<rgb_pixel>, docs,py::arg("img"), py::arg("faces"), py::arg("size")=150, py::arg("padding")=0.25);
}
}