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https://github.com/azaion/annotations.git
synced 2026-04-23 05:26:30 +00:00
remove cpdef, add constants h
This commit is contained in:
@@ -0,0 +1,55 @@
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/* Generated by Cython 3.1.2 */
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#ifndef __PYX_HAVE__constants_inf
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#define __PYX_HAVE__constants_inf
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#include "Python.h"
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#ifndef __PYX_HAVE_API__constants_inf
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#ifdef CYTHON_EXTERN_C
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#undef __PYX_EXTERN_C
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#define __PYX_EXTERN_C CYTHON_EXTERN_C
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#elif defined(__PYX_EXTERN_C)
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#ifdef _MSC_VER
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#pragma message ("Please do not define the '__PYX_EXTERN_C' macro externally. Use 'CYTHON_EXTERN_C' instead.")
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#else
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#warning Please do not define the '__PYX_EXTERN_C' macro externally. Use 'CYTHON_EXTERN_C' instead.
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#endif
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#else
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#ifdef __cplusplus
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#define __PYX_EXTERN_C extern "C"
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#else
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#define __PYX_EXTERN_C extern
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#endif
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#endif
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#ifndef DL_IMPORT
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#define DL_IMPORT(_T) _T
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#endif
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__PYX_EXTERN_C int TILE_DUPLICATE_CONFIDENCE_THRESHOLD;
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#endif /* !__PYX_HAVE_API__constants_inf */
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/* WARNING: the interface of the module init function changed in CPython 3.5. */
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/* It now returns a PyModuleDef instance instead of a PyModule instance. */
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/* WARNING: Use PyImport_AppendInittab("constants_inf", PyInit_constants_inf) instead of calling PyInit_constants_inf directly from Python 3.5 */
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PyMODINIT_FUNC PyInit_constants_inf(void);
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#if PY_VERSION_HEX >= 0x03050000 && (defined(__GNUC__) || defined(__clang__) || defined(_MSC_VER) || (defined(__cplusplus) && __cplusplus >= 201402L))
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#if defined(__cplusplus) && __cplusplus >= 201402L
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[[deprecated("Use PyImport_AppendInittab(\"constants_inf\", PyInit_constants_inf) instead of calling PyInit_constants_inf directly.")]] inline
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#elif defined(__GNUC__) || defined(__clang__)
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__attribute__ ((__deprecated__("Use PyImport_AppendInittab(\"constants_inf\", PyInit_constants_inf) instead of calling PyInit_constants_inf directly."), __unused__)) __inline__
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#elif defined(_MSC_VER)
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__declspec(deprecated("Use PyImport_AppendInittab(\"constants_inf\", PyInit_constants_inf) instead of calling PyInit_constants_inf directly.")) __inline
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#endif
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static PyObject* __PYX_WARN_IF_PyInit_constants_inf_INIT_CALLED(PyObject* res) {
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return res;
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}
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#define PyInit_constants_inf() __PYX_WARN_IF_PyInit_constants_inf_INIT_CALLED(PyInit_constants_inf())
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#endif
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#endif /* !__PYX_HAVE__constants_inf */
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@@ -20,7 +20,7 @@ cdef class Inference:
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cdef int tile_height
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cdef build_tensor_engine(self, object updater_callback)
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cpdef init_ai(self)
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cdef init_ai(self)
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cdef bint is_building_engine
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cdef bint is_video(self, str filepath)
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@@ -28,7 +28,7 @@ cdef class Inference:
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cdef _process_video(self, RemoteCommand cmd, AIRecognitionConfig ai_config, str video_name)
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cdef _process_images(self, RemoteCommand cmd, AIRecognitionConfig ai_config, list[str] image_paths)
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cdef _process_images_inner(self, RemoteCommand cmd, AIRecognitionConfig ai_config, list frame_data)
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cpdef split_to_tiles(self, frame, path, overlap_percent)
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cdef split_to_tiles(self, frame, path, overlap_percent)
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cdef stop(self)
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cdef preprocess(self, frames)
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@@ -97,7 +97,7 @@ cdef class Inference:
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except Exception as e:
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updater_callback(f'Error. {str(e)}')
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cpdef init_ai(self):
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cdef init_ai(self):
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if self.engine is not None:
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return
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@@ -292,7 +292,7 @@ cdef class Inference:
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self._process_images_inner(cmd, ai_config, chunk)
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cpdef split_to_tiles(self, frame, path, overlap_percent):
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cdef split_to_tiles(self, frame, path, overlap_percent):
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constants_inf.log(<str>f'splitting image {path} to tiles...')
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img_h, img_w, _ = frame.shape
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stride_w = int(self.tile_width * (1 - overlap_percent / 100))
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@@ -15,12 +15,12 @@ cdef class OnnxEngine(InferenceEngine):
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model_meta = self.session.get_modelmeta()
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constants_inf.log(f"Metadata: {model_meta.custom_metadata_map}")
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cpdef tuple get_input_shape(self):
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cdef tuple get_input_shape(self):
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shape = self.input_shape
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return shape[2], shape[3]
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cpdef int get_batch_size(self):
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cdef int get_batch_size(self):
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return self.batch_size
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cpdef run(self, input_data):
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cdef run(self, input_data):
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return self.session.run(None, {self.input_name: input_data})
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@@ -17,8 +17,8 @@ cdef class TensorRTEngine(InferenceEngine):
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cdef object stream
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cpdef tuple get_input_shape(self)
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cdef tuple get_input_shape(self)
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cpdef int get_batch_size(self)
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cdef int get_batch_size(self)
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cpdef run(self, input_data)
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cdef run(self, input_data)
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@@ -112,13 +112,13 @@ cdef class TensorRTEngine(InferenceEngine):
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constants_inf.log('conversion done!')
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return bytes(plan)
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cpdef tuple get_input_shape(self):
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cdef tuple get_input_shape(self):
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return self.input_shape[2], self.input_shape[3]
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cpdef int get_batch_size(self):
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cdef int get_batch_size(self):
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return self.batch_size
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cpdef run(self, input_data):
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cdef run(self, input_data):
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try:
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cuda.memcpy_htod_async(self.d_input, input_data, self.stream)
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self.context.set_tensor_address(self.input_name, int(self.d_input)) # input buffer
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