mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 03:46:40 +08:00
276 lines
12 KiB
C++
276 lines
12 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "fastdeploy/pybind/main.h"
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namespace fastdeploy {
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void BindFDMat(pybind11::module& m);
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void BindFDMatBatch(pybind11::module& m);
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void BindProcessors(pybind11::module& m);
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void BindDetection(pybind11::module& m);
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void BindClassification(pybind11::module& m);
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void BindSegmentation(pybind11::module& m);
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void BindMatting(pybind11::module& m);
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void BindFaceDet(pybind11::module& m);
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void BindFaceAlign(pybind11::module& m);
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void BindFaceId(pybind11::module& m);
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void BindOcr(pybind11::module& m);
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void BindTracking(pybind11::module& m);
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void BindKeyPointDetection(pybind11::module& m);
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void BindHeadPose(pybind11::module& m);
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void BindSR(pybind11::module& m);
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void BindGeneration(pybind11::module& m);
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void BindVisualize(pybind11::module& m);
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void BindPerception(pybind11::module& m);
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void BindVision(pybind11::module& m) {
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pybind11::class_<vision::Mask>(m, "Mask")
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.def(pybind11::init())
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.def_readwrite("data", &vision::Mask::data)
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.def_readwrite("shape", &vision::Mask::shape)
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.def(pybind11::pickle(
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[](const vision::Mask& m) {
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return pybind11::make_tuple(m.data, m.shape);
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},
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[](pybind11::tuple t) {
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if (t.size() != 2)
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throw std::runtime_error(
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"vision::Mask pickle with invalid state!");
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vision::Mask m;
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m.data = t[0].cast<std::vector<uint8_t>>();
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m.shape = t[1].cast<std::vector<int64_t>>();
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return m;
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}))
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.def("__repr__", &vision::Mask::Str)
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.def("__str__", &vision::Mask::Str);
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pybind11::class_<vision::ClassifyResult>(m, "ClassifyResult")
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.def(pybind11::init())
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.def_readwrite("label_ids", &vision::ClassifyResult::label_ids)
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.def_readwrite("scores", &vision::ClassifyResult::scores)
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.def_readwrite("feature", &vision::ClassifyResult::feature)
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.def(pybind11::pickle(
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[](const vision::ClassifyResult& c) {
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if (c.feature.empty()) {
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return pybind11::make_tuple(c.label_ids, c.scores);
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}
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return pybind11::make_tuple(c.label_ids, c.scores, c.feature);
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},
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[](pybind11::tuple t) {
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if ((t.size() != 2) && (t.size() != 3)) {
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throw std::runtime_error(
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"vision::ClassifyResult pickle with invalid state!");
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}
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vision::ClassifyResult c;
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c.label_ids = t[0].cast<std::vector<int32_t>>();
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c.scores = t[1].cast<std::vector<float>>();
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if (t.size() == 3) {
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c.feature = t[2].cast<std::vector<float>>();
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}
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return c;
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}))
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.def("__repr__", &vision::ClassifyResult::Str)
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.def("__str__", &vision::ClassifyResult::Str);
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pybind11::class_<vision::DetectionResult>(m, "DetectionResult")
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.def(pybind11::init())
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.def_readwrite("boxes", &vision::DetectionResult::boxes)
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.def_readwrite("scores", &vision::DetectionResult::scores)
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.def_readwrite("rotated_boxes", &vision::DetectionResult::rotated_boxes)
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.def_readwrite("label_ids", &vision::DetectionResult::label_ids)
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.def_readwrite("masks", &vision::DetectionResult::masks)
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.def_readwrite("contain_masks", &vision::DetectionResult::contain_masks)
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.def(pybind11::pickle(
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[](const vision::DetectionResult& d) {
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return pybind11::make_tuple(d.boxes, d.scores, d.rotated_boxes,
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d.label_ids, d.masks, d.contain_masks);
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},
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[](pybind11::tuple t) {
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if (t.size() != 5)
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throw std::runtime_error(
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"vision::DetectionResult pickle with Invalid state!");
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vision::DetectionResult d;
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d.boxes = t[0].cast<std::vector<std::array<float, 4>>>();
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d.rotated_boxes = t[0].cast<std::vector<std::array<float, 8>>>();
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d.scores = t[1].cast<std::vector<float>>();
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d.label_ids = t[2].cast<std::vector<int32_t>>();
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d.masks = t[3].cast<std::vector<vision::Mask>>();
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d.contain_masks = t[4].cast<bool>();
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return d;
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}))
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.def("__repr__", &vision::DetectionResult::Str)
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.def("__str__", &vision::DetectionResult::Str);
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pybind11::class_<vision::PerceptionResult>(m, "PerceptionResult")
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.def(pybind11::init())
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.def_readwrite("valid", &vision::PerceptionResult::valid)
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.def_readwrite("scores", &vision::PerceptionResult::scores)
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.def_readwrite("label_ids", &vision::PerceptionResult::label_ids)
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.def_readwrite("boxes", &vision::PerceptionResult::boxes)
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.def_readwrite("center", &vision::PerceptionResult::center)
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.def_readwrite("observation_angle",
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&vision::PerceptionResult::observation_angle)
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.def_readwrite("yaw_angle", &vision::PerceptionResult::yaw_angle)
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.def_readwrite("velocity", &vision::PerceptionResult::velocity)
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.def(pybind11::pickle(
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[](const vision::PerceptionResult& d) {
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return pybind11::make_tuple(d.scores, d.label_ids, d.boxes,
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d.center, d.observation_angle,
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d.yaw_angle, d.velocity);
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},
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[](pybind11::tuple t) {
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if (t.size() != 7)
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throw std::runtime_error(
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"vision::PerceptionResult pickle with Invalid state!");
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vision::PerceptionResult d;
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d.scores = t[0].cast<std::vector<float>>();
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d.label_ids = t[1].cast<std::vector<int32_t>>();
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d.boxes = t[2].cast<std::vector<std::array<float, 7>>>();
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d.center = t[3].cast<std::vector<std::array<float, 3>>>();
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d.observation_angle = t[4].cast<std::vector<float>>();
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d.yaw_angle = t[5].cast<std::vector<float>>();
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d.velocity = t[6].cast<std::vector<std::array<float, 3>>>();
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return d;
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}))
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.def("__repr__", &vision::PerceptionResult::Str)
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.def("__str__", &vision::PerceptionResult::Str);
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pybind11::class_<vision::OCRResult>(m, "OCRResult")
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.def(pybind11::init())
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.def_readwrite("boxes", &vision::OCRResult::boxes)
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.def_readwrite("text", &vision::OCRResult::text)
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.def_readwrite("rec_scores", &vision::OCRResult::rec_scores)
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.def_readwrite("cls_scores", &vision::OCRResult::cls_scores)
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.def_readwrite("cls_labels", &vision::OCRResult::cls_labels)
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.def("__repr__", &vision::OCRResult::Str)
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.def("__str__", &vision::OCRResult::Str);
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pybind11::class_<vision::MOTResult>(m, "MOTResult")
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.def(pybind11::init())
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.def_readwrite("boxes", &vision::MOTResult::boxes)
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.def_readwrite("ids", &vision::MOTResult::ids)
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.def_readwrite("scores", &vision::MOTResult::scores)
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.def_readwrite("class_ids", &vision::MOTResult::class_ids)
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.def("__repr__", &vision::MOTResult::Str)
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.def("__str__", &vision::MOTResult::Str);
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pybind11::class_<vision::FaceDetectionResult>(m, "FaceDetectionResult")
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.def(pybind11::init())
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.def_readwrite("boxes", &vision::FaceDetectionResult::boxes)
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.def_readwrite("scores", &vision::FaceDetectionResult::scores)
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.def_readwrite("landmarks", &vision::FaceDetectionResult::landmarks)
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.def_readwrite("landmarks_per_face",
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&vision::FaceDetectionResult::landmarks_per_face)
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.def("__repr__", &vision::FaceDetectionResult::Str)
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.def("__str__", &vision::FaceDetectionResult::Str);
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pybind11::class_<vision::FaceAlignmentResult>(m, "FaceAlignmentResult")
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.def(pybind11::init())
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.def_readwrite("landmarks", &vision::FaceAlignmentResult::landmarks)
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.def("__repr__", &vision::FaceAlignmentResult::Str)
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.def("__str__", &vision::FaceAlignmentResult::Str);
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pybind11::class_<vision::FaceRecognitionResult>(m, "FaceRecognitionResult")
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.def(pybind11::init())
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.def_readwrite("embedding", &vision::FaceRecognitionResult::embedding)
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.def("__repr__", &vision::FaceRecognitionResult::Str)
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.def("__str__", &vision::FaceRecognitionResult::Str);
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pybind11::class_<vision::SegmentationResult>(m, "SegmentationResult")
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.def(pybind11::init())
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.def_readwrite("label_map", &vision::SegmentationResult::label_map)
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.def_readwrite("score_map", &vision::SegmentationResult::score_map)
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.def_readwrite("shape", &vision::SegmentationResult::shape)
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.def_readwrite("contain_score_map",
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&vision::SegmentationResult::contain_score_map)
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.def(pybind11::pickle(
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[](const vision::SegmentationResult& s) {
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return pybind11::make_tuple(s.label_map, s.score_map, s.shape,
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s.contain_score_map);
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},
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[](pybind11::tuple t) {
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if (t.size() != 4)
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throw std::runtime_error(
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"vision::SegmentationResult pickle with Invalid state!");
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vision::SegmentationResult s;
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s.label_map = t[0].cast<std::vector<uint8_t>>();
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s.score_map = t[1].cast<std::vector<float>>();
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s.shape = t[2].cast<std::vector<int64_t>>();
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s.contain_score_map = t[3].cast<bool>();
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return s;
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}))
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.def("__repr__", &vision::SegmentationResult::Str)
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.def("__str__", &vision::SegmentationResult::Str);
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pybind11::class_<vision::MattingResult>(m, "MattingResult")
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.def(pybind11::init())
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.def_readwrite("alpha", &vision::MattingResult::alpha)
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.def_readwrite("foreground", &vision::MattingResult::foreground)
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.def_readwrite("shape", &vision::MattingResult::shape)
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.def_readwrite("contain_foreground",
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&vision::MattingResult::contain_foreground)
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.def("__repr__", &vision::MattingResult::Str)
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.def("__str__", &vision::MattingResult::Str);
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pybind11::class_<vision::KeyPointDetectionResult>(m,
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"KeyPointDetectionResult")
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.def(pybind11::init())
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.def_readwrite("keypoints", &vision::KeyPointDetectionResult::keypoints)
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.def_readwrite("scores", &vision::KeyPointDetectionResult::scores)
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.def_readwrite("num_joints", &vision::KeyPointDetectionResult::num_joints)
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.def("__repr__", &vision::KeyPointDetectionResult::Str)
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.def("__str__", &vision::KeyPointDetectionResult::Str);
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pybind11::class_<vision::HeadPoseResult>(m, "HeadPoseResult")
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.def(pybind11::init())
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.def_readwrite("euler_angles", &vision::HeadPoseResult::euler_angles)
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.def("__repr__", &vision::HeadPoseResult::Str)
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.def("__str__", &vision::HeadPoseResult::Str);
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m.def("enable_flycv", &vision::EnableFlyCV,
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"Enable image preprocessing by FlyCV.");
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m.def("disable_flycv", &vision::DisableFlyCV,
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"Disable image preprocessing by FlyCV, change to use OpenCV.");
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BindFDMat(m);
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BindFDMatBatch(m);
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BindProcessors(m);
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BindDetection(m);
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BindClassification(m);
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BindSegmentation(m);
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BindFaceDet(m);
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BindFaceAlign(m);
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BindFaceId(m);
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BindMatting(m);
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BindOcr(m);
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BindTracking(m);
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BindKeyPointDetection(m);
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BindHeadPose(m);
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BindSR(m);
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BindGeneration(m);
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BindVisualize(m);
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BindPerception(m);
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}
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} // namespace fastdeploy
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