mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 09:07:10 +08:00
75 lines
2.6 KiB
C++
75 lines
2.6 KiB
C++
// 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 YOLOv5Face : public FastDeployModel {
|
|
public:
|
|
YOLOv5Face(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 "yolov5-face"; }
|
|
|
|
virtual bool Predict(cv::Mat* im, FaceDetectionResult* result,
|
|
float conf_threshold = 0.25,
|
|
float nms_iou_threshold = 0.5);
|
|
|
|
// tuple of (width, height)
|
|
std::vector<int> size;
|
|
// padding value, size should be same with Channels
|
|
std::vector<float> padding_value;
|
|
// only pad to the minimum rectange which height and width is times of stride
|
|
bool is_mini_pad;
|
|
// while is_mini_pad = false and is_no_pad = true, will resize the image to
|
|
// the set size
|
|
bool is_no_pad;
|
|
// if is_scale_up is false, the input image only can be zoom out, the maximum
|
|
// resize scale cannot exceed 1.0
|
|
bool is_scale_up;
|
|
// padding stride, for is_mini_pad
|
|
int stride;
|
|
// setup the number of landmarks for per face (if have), default 5 in
|
|
// official yolov5face note that, the outupt tensor's shape must be:
|
|
// (1,n,4+1+2*landmarks_per_face+1=box+obj+landmarks+cls)
|
|
int landmarks_per_face;
|
|
|
|
private:
|
|
bool Initialize();
|
|
|
|
bool Preprocess(Mat* mat, FDTensor* outputs,
|
|
std::map<std::string, std::array<float, 2>>* im_info);
|
|
|
|
bool Postprocess(FDTensor& infer_result, FaceDetectionResult* result,
|
|
const std::map<std::string, std::array<float, 2>>& 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
|