更换文档检测模型

2024-08-27 14:42:45 +08:00
parent aea6f19951
commit 1514e09c40
2072 changed files with 254336 additions and 4967 deletions
--- a/paddle_detection/deploy/cpp/include/keypoint_postprocess.h
+++ b/paddle_detection/deploy/cpp/include/keypoint_postprocess.h
@@ -0,0 +1,134 @@
+//   Copyright (c) 2021 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 <math.h>
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+#include <vector>
+
+namespace PaddleDetection {
+
+std::vector<float> get_3rd_point(std::vector<float>& a, std::vector<float>& b);
+
+std::vector<float> get_dir(float src_point_x, float src_point_y, float rot_rad);
+
+void affine_tranform(
+    float pt_x, float pt_y, cv::Mat& trans, std::vector<float>& preds, int p);
+
+cv::Mat get_affine_transform(std::vector<float>& center,
+                             std::vector<float>& scale,
+                             float rot,
+                             std::vector<int>& output_size,
+                             int inv);
+
+void transform_preds(std::vector<float>& coords,
+                     std::vector<float>& center,
+                     std::vector<float>& scale,
+                     std::vector<int>& output_size,
+                     std::vector<int>& dim,
+                     std::vector<float>& target_coords,
+                     bool affine = false);
+
+void box_to_center_scale(std::vector<int>& box,
+                         int width,
+                         int height,
+                         std::vector<float>& center,
+                         std::vector<float>& scale);
+
+void get_max_preds(float* heatmap,
+                   std::vector<int>& dim,
+                   std::vector<float>& preds,
+                   float* maxvals,
+                   int batchid,
+                   int joint_idx);
+
+void get_final_preds(std::vector<float>& heatmap,
+                     std::vector<int>& dim,
+                     std::vector<int64_t>& idxout,
+                     std::vector<int>& idxdim,
+                     std::vector<float>& center,
+                     std::vector<float> scale,
+                     std::vector<float>& preds,
+                     int batchid,
+                     bool DARK = true);
+
+// Object KeyPoint Result
+struct KeyPointResult {
+  // Keypoints: shape(N x 3); N: number of Joints; 3: x,y,conf
+  std::vector<float> keypoints;
+  int num_joints = -1;
+};
+
+class PoseSmooth {
+ public:
+  explicit PoseSmooth(const int width,
+                      const int height,
+                      std::string filter_type = "OneEuro",
+                      float alpha = 0.5,
+                      float fc_d = 0.1,
+                      float fc_min = 0.1,
+                      float beta = 0.1,
+                      float thres_mult = 0.3)
+      : width(width),
+        height(height),
+        alpha(alpha),
+        fc_d(fc_d),
+        fc_min(fc_min),
+        beta(beta),
+        filter_type(filter_type),
+        thres_mult(thres_mult){};
+
+  // Run predictor
+  KeyPointResult smooth_process(KeyPointResult* result);
+  void PointSmooth(KeyPointResult* result,
+                   KeyPointResult* keypoint_smoothed,
+                   std::vector<float> thresholds,
+                   int index);
+  float OneEuroFilter(float x_cur, float x_pre, int loc);
+  float smoothing_factor(float te, float fc);
+  float ExpSmoothing(float x_cur, float x_pre, int loc = 0);
+
+ private:
+  int width = 0;
+  int height = 0;
+  float alpha = 0.;
+  float fc_d = 1.;
+  float fc_min = 0.;
+  float beta = 1.;
+  float thres_mult = 1.;
+  std::string filter_type = "OneEuro";
+  std::vector<float> thresholds = {0.005,
+                                   0.005,
+                                   0.005,
+                                   0.005,
+                                   0.005,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01,
+                                   0.01};
+  KeyPointResult x_prev_hat;
+  KeyPointResult dx_prev_hat;
+};
+}  // namespace PaddleDetection