Files
FastDeploy/fastdeploy/vision/vision_pybind.cc
yeliang2258 a509dd8ec1 [Model] Add Paddle3D smoke model (#1766)
* add smoke model

* add 3d vis

* update code

* update doc

* mv paddle3d from detection to perception

* update result for velocity

* update code for CI

* add set input data for TRT backend

* add serving support for smoke model

* update code

* update code

* update code

---------

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2023-04-14 16:30:56 +08:00

265 lines
11 KiB
C++
Executable File

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