// 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. #pragma once #include "fastdeploy/fastdeploy_model.h" #include "fastdeploy/vision/common/processors/transform.h" #include "fastdeploy/vision/common/result.h" namespace fastdeploy { namespace vision { namespace facedet { class FASTDEPLOY_DECL UltraFace : public FastDeployModel { public: UltraFace(const std::string& model_file, const std::string& params_file = "", const RuntimeOption& custom_option = RuntimeOption(), const ModelFormat& model_format = ModelFormat::ONNX); std::string ModelName() const { return "Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB"; } virtual bool Predict(cv::Mat* im, FaceDetectionResult* result, float conf_threshold = 0.7f, float nms_iou_threshold = 0.3f); // tuple of (width, height), default (320, 240) std::vector size; private: bool Initialize(); bool Preprocess(Mat* mat, FDTensor* outputs, std::map>* im_info); bool Postprocess(std::vector& infer_result, FaceDetectionResult* result, const std::map>& im_info, float conf_threshold, float nms_iou_threshold); bool IsDynamicInput() const { return is_dynamic_input_; } bool is_dynamic_input_; }; } // namespace facedet } // namespace vision } // namespace fastdeploy