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https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-09 02:20:17 +08:00
[Model] Support YOLOv8 (#1137)
* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
This commit is contained in:
WJJ1995
140
fastdeploy/vision/detection/contrib/yolov5/yolov5_pybind.cc
Executable file → Normal file
140
fastdeploy/vision/detection/contrib/yolov5/yolov5_pybind.cc
Executable file → Normal file
@@ -16,54 +16,82 @@
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namespace fastdeploy {
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void BindYOLOv5(pybind11::module& m) {
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pybind11::class_<vision::detection::YOLOv5Preprocessor>(
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m, "YOLOv5Preprocessor")
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pybind11::class_<vision::detection::YOLOv5Preprocessor>(m,
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"YOLOv5Preprocessor")
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.def(pybind11::init<>())
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.def("run", [](vision::detection::YOLOv5Preprocessor& self, std::vector<pybind11::array>& im_list) {
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std::vector<vision::FDMat> images;
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for (size_t i = 0; i < im_list.size(); ++i) {
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images.push_back(vision::WrapMat(PyArrayToCvMat(im_list[i])));
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}
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std::vector<FDTensor> outputs;
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std::vector<std::map<std::string, std::array<float, 2>>> ims_info;
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if (!self.Run(&images, &outputs, &ims_info)) {
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throw std::runtime_error("Failed to preprocess the input data in PaddleClasPreprocessor.");
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}
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for (size_t i = 0; i < outputs.size(); ++i) {
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outputs[i].StopSharing();
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}
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return make_pair(outputs, ims_info);
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})
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.def_property("size", &vision::detection::YOLOv5Preprocessor::GetSize, &vision::detection::YOLOv5Preprocessor::SetSize)
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.def_property("padding_value", &vision::detection::YOLOv5Preprocessor::GetPaddingValue, &vision::detection::YOLOv5Preprocessor::SetPaddingValue)
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.def_property("is_scale_up", &vision::detection::YOLOv5Preprocessor::GetScaleUp, &vision::detection::YOLOv5Preprocessor::SetScaleUp)
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.def_property("is_mini_pad", &vision::detection::YOLOv5Preprocessor::GetMiniPad, &vision::detection::YOLOv5Preprocessor::SetMiniPad)
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.def_property("stride", &vision::detection::YOLOv5Preprocessor::GetStride, &vision::detection::YOLOv5Preprocessor::SetStride);
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.def(
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"run",
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[](vision::detection::YOLOv5Preprocessor& self,
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std::vector<pybind11::array>& im_list) {
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std::vector<vision::FDMat> images;
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for (size_t i = 0; i < im_list.size(); ++i) {
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images.push_back(vision::WrapMat(PyArrayToCvMat(im_list[i])));
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}
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std::vector<FDTensor> outputs;
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std::vector<std::map<std::string, std::array<float, 2>>> ims_info;
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if (!self.Run(&images, &outputs, &ims_info)) {
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throw std::runtime_error(
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"Failed to preprocess the input data in YOLOv5Preprocessor.");
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}
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for (size_t i = 0; i < outputs.size(); ++i) {
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outputs[i].StopSharing();
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}
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return make_pair(outputs, ims_info);
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})
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.def_property("size", &vision::detection::YOLOv5Preprocessor::GetSize,
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&vision::detection::YOLOv5Preprocessor::SetSize)
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.def_property("padding_value",
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&vision::detection::YOLOv5Preprocessor::GetPaddingValue,
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&vision::detection::YOLOv5Preprocessor::SetPaddingValue)
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.def_property("is_scale_up",
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&vision::detection::YOLOv5Preprocessor::GetScaleUp,
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&vision::detection::YOLOv5Preprocessor::SetScaleUp)
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.def_property("is_mini_pad",
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&vision::detection::YOLOv5Preprocessor::GetMiniPad,
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&vision::detection::YOLOv5Preprocessor::SetMiniPad)
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.def_property("stride", &vision::detection::YOLOv5Preprocessor::GetStride,
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&vision::detection::YOLOv5Preprocessor::SetStride);
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pybind11::class_<vision::detection::YOLOv5Postprocessor>(
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m, "YOLOv5Postprocessor")
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.def(pybind11::init<>())
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.def("run", [](vision::detection::YOLOv5Postprocessor& self, std::vector<FDTensor>& inputs,
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const std::vector<std::map<std::string, std::array<float, 2>>>& ims_info) {
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std::vector<vision::DetectionResult> results;
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if (!self.Run(inputs, &results, ims_info)) {
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throw std::runtime_error("Failed to postprocess the runtime result in YOLOv5Postprocessor.");
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}
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return results;
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})
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.def("run", [](vision::detection::YOLOv5Postprocessor& self, std::vector<pybind11::array>& input_array,
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const std::vector<std::map<std::string, std::array<float, 2>>>& ims_info) {
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std::vector<vision::DetectionResult> results;
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std::vector<FDTensor> inputs;
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PyArrayToTensorList(input_array, &inputs, /*share_buffer=*/true);
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if (!self.Run(inputs, &results, ims_info)) {
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throw std::runtime_error("Failed to postprocess the runtime result in YOLOv5Postprocessor.");
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}
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return results;
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})
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.def_property("conf_threshold", &vision::detection::YOLOv5Postprocessor::GetConfThreshold, &vision::detection::YOLOv5Postprocessor::SetConfThreshold)
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.def_property("nms_threshold", &vision::detection::YOLOv5Postprocessor::GetNMSThreshold, &vision::detection::YOLOv5Postprocessor::SetNMSThreshold)
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.def_property("multi_label", &vision::detection::YOLOv5Postprocessor::GetMultiLabel, &vision::detection::YOLOv5Postprocessor::SetMultiLabel);
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.def("run",
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[](vision::detection::YOLOv5Postprocessor& self,
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std::vector<FDTensor>& inputs,
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const std::vector<std::map<std::string, std::array<float, 2>>>&
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ims_info) {
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std::vector<vision::DetectionResult> results;
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if (!self.Run(inputs, &results, ims_info)) {
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throw std::runtime_error(
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"Failed to postprocess the runtime result in "
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"YOLOv5Postprocessor.");
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}
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return results;
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})
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.def("run",
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[](vision::detection::YOLOv5Postprocessor& self,
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std::vector<pybind11::array>& input_array,
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const std::vector<std::map<std::string, std::array<float, 2>>>&
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ims_info) {
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std::vector<vision::DetectionResult> results;
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std::vector<FDTensor> inputs;
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PyArrayToTensorList(input_array, &inputs, /*share_buffer=*/true);
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if (!self.Run(inputs, &results, ims_info)) {
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throw std::runtime_error(
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"Failed to postprocess the runtime result in "
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"YOLOv5Postprocessor.");
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}
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return results;
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})
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.def_property("conf_threshold",
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&vision::detection::YOLOv5Postprocessor::GetConfThreshold,
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&vision::detection::YOLOv5Postprocessor::SetConfThreshold)
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.def_property("nms_threshold",
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&vision::detection::YOLOv5Postprocessor::GetNMSThreshold,
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&vision::detection::YOLOv5Postprocessor::SetNMSThreshold)
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.def_property("multi_label",
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&vision::detection::YOLOv5Postprocessor::GetMultiLabel,
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&vision::detection::YOLOv5Postprocessor::SetMultiLabel);
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pybind11::class_<vision::detection::YOLOv5, FastDeployModel>(m, "YOLOv5")
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.def(pybind11::init<std::string, std::string, RuntimeOption,
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@@ -75,16 +103,20 @@ void BindYOLOv5(pybind11::module& m) {
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self.Predict(mat, &res);
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return res;
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})
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.def("batch_predict", [](vision::detection::YOLOv5& self, std::vector<pybind11::array>& data) {
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std::vector<cv::Mat> images;
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for (size_t i = 0; i < data.size(); ++i) {
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images.push_back(PyArrayToCvMat(data[i]));
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}
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std::vector<vision::DetectionResult> results;
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self.BatchPredict(images, &results);
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return results;
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})
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.def_property_readonly("preprocessor", &vision::detection::YOLOv5::GetPreprocessor)
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.def_property_readonly("postprocessor", &vision::detection::YOLOv5::GetPostprocessor);
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.def("batch_predict",
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[](vision::detection::YOLOv5& self,
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std::vector<pybind11::array>& data) {
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std::vector<cv::Mat> images;
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for (size_t i = 0; i < data.size(); ++i) {
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images.push_back(PyArrayToCvMat(data[i]));
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}
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std::vector<vision::DetectionResult> results;
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self.BatchPredict(images, &results);
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return results;
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})
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.def_property_readonly("preprocessor",
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&vision::detection::YOLOv5::GetPreprocessor)
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.def_property_readonly("postprocessor",
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&vision::detection::YOLOv5::GetPostprocessor);
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}
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} // namespace fastdeploy
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