File size: 5,458 Bytes
8207382
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
// Copyright (c) 2025 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.

#include "result.h"

#include <fstream>
#include <string>

#include "src/utils/utility.h"
#include "third_party/nlohmann/json.hpp"

using json = nlohmann::json;
void TopkResult::SaveToImg(const std::string &save_path) {
  cv::Mat img = predictor_result_.input_image.clone();

  std::ostringstream oss;
  oss << predictor_result_.label_names[0] << " " << std::fixed
      << std::setprecision(2) << predictor_result_.scores[0];
  std::string label_str = oss.str();

  int imgWidth = img.cols;
  int minFont = std::max(12, imgWidth * 2 / 100);
  int maxFont = std::max(18, imgWidth * 5 / 100);
  int baseline = 0;
  int fontFace = 0;
  double fontScale = getAdaptiveFontScale(
      label_str, imgWidth, imgWidth, minFont, maxFont, 2, baseline, fontFace);

  cv::Size textSize =
      cv::getTextSize(label_str, fontFace, fontScale, 2, &baseline);

  int rect_left = 3, rect_top = 3;
  int rect_right = rect_left + textSize.width + 6;
  int rect_bottom = rect_top + textSize.height + 6;
  cv::Scalar bgColor(0, 0, 255);
  cv::rectangle(img, cv::Point(rect_left, rect_top),
                cv::Point(rect_right, rect_bottom), bgColor, cv::FILLED);

  int text_x = rect_left + 3;
  int text_y = rect_top + textSize.height + 2;
  cv::Scalar fontColor(255, 255, 255);
  cv::putText(img, label_str, cv::Point(text_x, text_y), fontFace, fontScale,
              fontColor, 2, cv::LINE_AA);
  absl::StatusOr<std::string> full_path;
  if (predictor_result_.input_path.empty()) {
    auto now = std::chrono::system_clock::now();
    auto now_time = std::chrono::system_clock::to_time_t(now);
    std::stringstream ss;
    ss << "output_" << std::put_time(std::localtime(&now_time), "%Y%m%d_%H%M%S")
       << ".jpg";
    std::string timestamp_filename = ss.str();
    INFOW("Input path is empty, will use %s instead!",
          timestamp_filename.c_str());
    predictor_result_.input_path = timestamp_filename;
    full_path =
        Utility::SmartCreateDirectoryForImage(save_path, timestamp_filename);
  } else {
    full_path = Utility::SmartCreateDirectoryForImage(
        save_path, predictor_result_.input_path);
  }
  if (!full_path.ok()) {
    INFOE(full_path.status().ToString().c_str());
    exit(-1);
  }
  bool success = cv::imwrite(full_path.value(), img);
  if (!success) {
    INFOE("Failed to write the image %s ", full_path.value().c_str());
    exit(-1);
  }
}

void TopkResult::Print() const {
  std::cout << "{\n  \"res\": {" << std::endl;

  std::cout << "    \"input_path\": {" << predictor_result_.input_path << "},"
            << std::endl;
  std::cout << "    \"class_ids\": {" << predictor_result_.class_ids[0] << "},"
            << std::endl;
  std::cout << "    \"scores\": {" << predictor_result_.scores[0] << "},"
            << std::endl;
  std::cout << "    \"label_names\": {" << predictor_result_.label_names[0]
            << "}," << std::endl;
  std::cout << "}" << std::endl;
}

void TopkResult::SaveToJson(const std::string &save_path) const {
  nlohmann::ordered_json j;

  j["input_path"] = predictor_result_.input_path;
  j["page_index"] = nullptr; //********

  json class_ids = json::array();
  for (const auto &item : predictor_result_.class_ids) {
    class_ids.push_back(item);
  }
  json scores = json::array();
  for (const auto &item : predictor_result_.scores) {
    scores.push_back(item);
  }
  json label_names = json::array();
  for (const auto &item : predictor_result_.label_names) {
    label_names.push_back(item);
  }

  j["class_ids"] = class_ids;
  j["scores"] = scores;
  j["label_names"] = label_names;

  auto full_path = Utility::SmartCreateDirectoryForJson(
      save_path, predictor_result_.input_path);
  if (!full_path.ok()) {
    INFOE(full_path.status().ToString().c_str());
    exit(-1);
  }
  std::ofstream file(full_path.value());
  if (file.is_open()) {
    file << j.dump(4);
    file.close();
  } else {
    INFOE("Could not open file for writing: %s", save_path.c_str());
    exit(-1);
  }
}

int TopkResult::getAdaptiveFontScale(const std::string &text, int imgWidth,
                                     int maxWidth, int minFont, int maxFont,
                                     int thickness, int &outBaseline,
                                     int &outFontFace) {
  int fontFace = cv::FONT_HERSHEY_SIMPLEX;
  double fontScale = 1.0;
  int baseline = 0;
  int bestFontSize = minFont;

  for (int fontSize = maxFont; fontSize >= minFont; --fontSize) {
    fontScale = fontSize / 20.0; // 20为基准比例,可调
    int base;
    cv::Size textSize =
        cv::getTextSize(text, fontFace, fontScale, thickness, &base);
    if (textSize.width <= maxWidth) {
      bestFontSize = fontSize;
      outBaseline = base;
      outFontFace = fontFace;
      return fontScale;
    }
  }
  outBaseline = 0;
  outFontFace = fontFace;
  return minFont / 20.0;
}