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<div class="title">convert_encoded_to_raw_leveldb.cc</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment">// This script converts an image dataset to leveldb.</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">//</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">// caffe2::FLAGS_input_folder is the root folder that holds all the images, and</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">// caffe2::FLAGS_list_file should be a list of files as well as their labels, in the</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">// format as</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">// subfolder1/file1.JPEG 7</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">// ....</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <opencv2/opencv.hpp></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <fstream></span> <span class="comment">// NOLINT(readability/streams)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <random></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "caffe2/core/init.h"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "caffe2/proto/caffe2.pb.h"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "caffe2/core/logging.h"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "leveldb/db.h"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "leveldb/write_batch.h"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> CAFFE2_DEFINE_string(input_db_name, <span class="stringliteral">""</span>, <span class="stringliteral">"The input image file name."</span>);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> CAFFE2_DEFINE_string(output_db_name, <span class="stringliteral">""</span>, <span class="stringliteral">"The output training leveldb name."</span>);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> CAFFE2_DEFINE_bool(color, <span class="keyword">true</span>, <span class="stringliteral">"If set, load images in color."</span>);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> CAFFE2_DEFINE_int(scale, 256,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="stringliteral">"If caffe2::FLAGS_raw is set, scale all the images' shorter edge to the given "</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="stringliteral">"value."</span>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> CAFFE2_DEFINE_bool(warp, <span class="keyword">false</span>, <span class="stringliteral">"If warp is set, warp the images to square."</span>);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="namespacecaffe2.html"> 47</a></span> <span class="keyword">namespace </span><a class="code" href="namespacecaffe2.html">caffe2</a> {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">using</span> std::string;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">using</span> std::unique_ptr;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keywordtype">void</span> ConvertToRawDataset(</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">const</span> <span class="keywordtype">string</span>& input_db_name, <span class="keyword">const</span> <span class="keywordtype">string</span>& output_db_name) {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// input leveldb</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::unique_ptr<leveldb::DB> input_db;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  LOG(INFO) << <span class="stringliteral">"Opening input leveldb "</span> << input_db_name;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  leveldb::Options options;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  options.create_if_missing = <span class="keyword">false</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  leveldb::DB* db_temp;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  leveldb::Status status = leveldb::DB::Open(</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  options, input_db_name, &db_temp);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  CAFFE_ENFORCE(status.ok(), <span class="stringliteral">"Failed to open leveldb "</span>, input_db_name, <span class="stringliteral">"."</span>);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  input_db.reset(db_temp);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// output leveldb</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  std::unique_ptr<leveldb::DB> output_db;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::unique_ptr<leveldb::WriteBatch> batch;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  LOG(INFO) << <span class="stringliteral">"Opening leveldb "</span> << output_db_name;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  leveldb::Options options;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  options.error_if_exists = <span class="keyword">true</span>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  options.create_if_missing = <span class="keyword">true</span>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  options.write_buffer_size = 268435456;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  leveldb::DB* db_temp;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  leveldb::Status status = leveldb::DB::Open(</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  options, output_db_name, &db_temp);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  CAFFE_ENFORCE(</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  status.ok(),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="stringliteral">"Failed to open leveldb "</span>,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  output_db_name,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="stringliteral">". Is it already existing?"</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  output_db.reset(db_temp);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  batch.reset(<span class="keyword">new</span> leveldb::WriteBatch());</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  TensorProtos input_protos;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  TensorProtos output_protos;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  TensorProto* data = output_protos.add_protos();</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  TensorProto* label = output_protos.add_protos();</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  data->set_data_type(TensorProto::BYTE);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  data->add_dims(0);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  data->add_dims(0);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_color) {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  data->add_dims(3);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">string</span> value;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  unique_ptr<leveldb::Iterator> iter;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  iter.reset(input_db->NewIterator(leveldb::ReadOptions()));</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  iter->SeekToFirst();</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">int</span> count = 0;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">for</span> (; iter->Valid(); iter->Next()) {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  CAFFE_ENFORCE(input_protos.ParseFromString(iter->value().ToString()));</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  label->CopyFrom(input_protos.protos(1));</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">const</span> <span class="keywordtype">string</span>& encoded_image = input_protos.protos(0).string_data(0);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">int</span> encoded_size = encoded_image.size();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  cv::Mat img = cv::imdecode(</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  cv::Mat(1, &encoded_size, CV_8UC1,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  const_cast<char*>(encoded_image.data())),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  caffe2::FLAGS_color ? CV_LOAD_IMAGE_COLOR : CV_LOAD_IMAGE_GRAYSCALE);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  cv::Mat resized_img;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">int</span> scaled_width, scaled_height;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_warp) {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  scaled_width = caffe2::FLAGS_scale;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  scaled_height = caffe2::FLAGS_scale;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (img.rows > img.cols) {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  scaled_width = caffe2::FLAGS_scale;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  scaled_height = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(img.rows) * caffe2::FLAGS_scale / img.cols;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  scaled_height = caffe2::FLAGS_scale;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  scaled_width = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(img.cols) * caffe2::FLAGS_scale / img.rows;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  cv::resize(img, resized_img, cv::Size(scaled_width, scaled_height), 0, 0,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  cv::INTER_LINEAR);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  data->set_dims(0, scaled_height);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  data->set_dims(1, scaled_width);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  DCHECK(resized_img.isContinuous());</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  data->set_byte_data(resized_img.ptr(),</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  scaled_height * scaled_width * (caffe2::FLAGS_color ? 3 : 1));</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  output_protos.SerializeToString(&value);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// Put in db</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  batch->Put(iter->key(), value);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">if</span> (++count % 1000 == 0) {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  output_db->Write(leveldb::WriteOptions(), batch.get());</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  batch.reset(<span class="keyword">new</span> leveldb::WriteBatch());</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  LOG(INFO) << <span class="stringliteral">"Processed "</span> << count << <span class="stringliteral">" files."</span>;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// write the last batch</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">if</span> (count % 1000 != 0) {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  output_db->Write(leveldb::WriteOptions(), batch.get());</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  LOG(INFO) << <span class="stringliteral">"Processed a total of "</span> << count << <span class="stringliteral">" files."</span>;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> } <span class="comment">// namespace caffe2</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="keywordtype">int</span> main(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>** argv) {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespacecaffe2.html#af70b04a01a1779ddd61f9ef1e0a141b7">caffe2::GlobalInit</a>(&argc, &argv);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  caffe2::ConvertToRawDataset(</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  caffe2::FLAGS_input_db_name, caffe2::FLAGS_output_db_name);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> }</div><div class="ttc" id="namespacecaffe2_html_af70b04a01a1779ddd61f9ef1e0a141b7"><div class="ttname"><a href="namespacecaffe2.html#af70b04a01a1779ddd61f9ef1e0a141b7">caffe2::GlobalInit</a></div><div class="ttdeci">bool GlobalInit(int *pargc, char ***pargv)</div><div class="ttdoc">Initialize the global environment of caffe2. </div><div class="ttdef"><b>Definition:</b> <a href="init_8cc_source.html#l00018">init.cc:18</a></div></div>
<div class="ttc" id="namespacecaffe2_html"><div class="ttname"><a href="namespacecaffe2.html">caffe2</a></div><div class="ttdoc">A global dictionary that holds information about what Caffe2 modules have been loaded in the current ...</div><div class="ttdef"><b>Definition:</b> <a href="convert__encoded__to__raw__leveldb_8cc_source.html#l00047">convert_encoded_to_raw_leveldb.cc:47</a></div></div>
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