FastDeploy/fastdeploy/vision/faceid/contrib/insightface/model.h

// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.  //NOLINT
//
// 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/vision/faceid/contrib/insightface/base.h"

namespace fastdeploy {
namespace vision {
namespace faceid {
class FASTDEPLOY_DECL ArcFace : public InsightFaceRecognitionBase {
 public:
  /** \brief Set path of model file and configuration file, and the configuration of runtime
   *
   * \param[in] model_file Path of model file, e.g ArcFace/model.pdmodel
   * \param[in] params_file Path of parameter file, e.g ArcFace/model.pdiparams, if the model format is ONNX, this parameter will be ignored
   * \param[in] custom_option RuntimeOption for inference, the default will use cpu, and choose the backend defined in `valid_cpu_backends`
   * \param[in] model_format Model format of the loaded model, default is Paddle format
   */
  ArcFace(const std::string& model_file, const std::string& params_file = "",
          const RuntimeOption& custom_option = RuntimeOption(),
          const ModelFormat& model_format = ModelFormat::ONNX)
      : InsightFaceRecognitionBase(model_file, params_file, custom_option,
                                   model_format) {
    if (model_format == ModelFormat::ONNX) {
      valid_cpu_backends = {Backend::ORT};
      valid_gpu_backends = {Backend::ORT, Backend::TRT};
    } else if (model_format == ModelFormat::RKNN) {
      valid_rknpu_backends = {Backend::RKNPU2};
    } else {
      valid_cpu_backends = {Backend::PDINFER, Backend::ORT, Backend::LITE};
      valid_gpu_backends = {Backend::PDINFER, Backend::ORT, Backend::TRT};
      valid_kunlunxin_backends = {Backend::LITE};
    }
    initialized = Initialize();
  }

  virtual std::string ModelName() const { return "ArcFace"; }
};

class FASTDEPLOY_DECL CosFace : public InsightFaceRecognitionBase {
 public:
  /** \brief Set path of model file and configuration file, and the configuration of runtime
   *
   * \param[in] model_file Path of model file, e.g CosFace/model.pdmodel
   * \param[in] params_file Path of parameter file, e.g CosFace/model.pdiparams, if the model format is ONNX, this parameter will be ignored
   * \param[in] custom_option RuntimeOption for inference, the default will use cpu, and choose the backend defined in `valid_cpu_backends`
   * \param[in] model_format Model format of the loaded model, default is Paddle format
   */
  CosFace(const std::string& model_file, const std::string& params_file = "",
          const RuntimeOption& custom_option = RuntimeOption(),
          const ModelFormat& model_format = ModelFormat::ONNX)
      : InsightFaceRecognitionBase(model_file, params_file, custom_option,
                                   model_format) {
    if (model_format == ModelFormat::ONNX) {
      valid_cpu_backends = {Backend::ORT};
      valid_gpu_backends = {Backend::ORT, Backend::TRT};
    } else if (model_format == ModelFormat::RKNN) {
      valid_rknpu_backends = {Backend::RKNPU2};
    } else {
      valid_cpu_backends = {Backend::PDINFER, Backend::ORT, Backend::LITE};
      valid_gpu_backends = {Backend::PDINFER, Backend::ORT, Backend::TRT};
      valid_kunlunxin_backends = {Backend::LITE};
    }
    initialized = Initialize();
  }

  virtual std::string ModelName() const { return "CosFace"; }
};
class FASTDEPLOY_DECL PartialFC : public InsightFaceRecognitionBase {
 public:
  /** \brief Set path of model file and configuration file, and the configuration of runtime
   *
   * \param[in] model_file Path of model file, e.g PartialFC/model.pdmodel
   * \param[in] params_file Path of parameter file, e.g PartialFC/model.pdiparams, if the model format is ONNX, this parameter will be ignored
   * \param[in] custom_option RuntimeOption for inference, the default will use cpu, and choose the backend defined in `valid_cpu_backends`
   * \param[in] model_format Model format of the loaded model, default is Paddle format
   */
  PartialFC(const std::string& model_file, const std::string& params_file = "",
            const RuntimeOption& custom_option = RuntimeOption(),
            const ModelFormat& model_format = ModelFormat::ONNX)
      : InsightFaceRecognitionBase(model_file, params_file, custom_option,
                                   model_format) {
    if (model_format == ModelFormat::ONNX) {
      valid_cpu_backends = {Backend::ORT};
      valid_gpu_backends = {Backend::ORT, Backend::TRT};
    } else if (model_format == ModelFormat::RKNN) {
      valid_rknpu_backends = {Backend::RKNPU2};
    } else {
      valid_cpu_backends = {Backend::PDINFER, Backend::ORT, Backend::LITE};
      valid_gpu_backends = {Backend::PDINFER, Backend::ORT, Backend::TRT};
      valid_kunlunxin_backends = {Backend::LITE};
    }
    initialized = Initialize();
  }

  virtual std::string ModelName() const { return "PartialFC"; }
};
class FASTDEPLOY_DECL VPL : public InsightFaceRecognitionBase {
 public:
  /** \brief Set path of model file and configuration file, and the configuration of runtime
   *
   * \param[in] model_file Path of model file, e.g VPL/model.pdmodel
   * \param[in] params_file Path of parameter file, e.g VPL/model.pdiparams, if the model format is ONNX, this parameter will be ignored
   * \param[in] custom_option RuntimeOption for inference, the default will use cpu, and choose the backend defined in `valid_cpu_backends`
   * \param[in] model_format Model format of the loaded model, default is Paddle format
   */
  VPL(const std::string& model_file, const std::string& params_file = "",
      const RuntimeOption& custom_option = RuntimeOption(),
      const ModelFormat& model_format = ModelFormat::ONNX)
      : InsightFaceRecognitionBase(model_file, params_file, custom_option,
                                   model_format) {
    if (model_format == ModelFormat::ONNX) {
      valid_cpu_backends = {Backend::ORT};
      valid_gpu_backends = {Backend::ORT, Backend::TRT};
    } else if (model_format == ModelFormat::RKNN) {
      valid_rknpu_backends = {Backend::RKNPU2};
    } else {
      valid_cpu_backends = {Backend::PDINFER, Backend::ORT, Backend::LITE};
      valid_gpu_backends = {Backend::PDINFER, Backend::ORT, Backend::TRT};
      valid_kunlunxin_backends = {Backend::LITE};
    }
    initialized = Initialize();
  }

  virtual std::string ModelName() const { return "VPL"; }
};

}  // namespace faceid
}  // namespace vision
}  // namespace fastdeploy