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<div class="title">make_cifar_db.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">//</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// This script converts the CIFAR dataset to the leveldb format used</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">// by caffe to perform classification.</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">// Usage:</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">// convert_cifar_data input_folder output_db_file</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">// The CIFAR dataset could be downloaded at</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">// http://www.cs.toronto.edu/~kriz/cifar.html</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 <array></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <fstream></span> <span class="comment">// NOLINT(readability/streams)</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <sstream></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "caffe2/core/common.h"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "caffe2/core/db.h"</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> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> CAFFE2_DEFINE_string(input_folder, <span class="stringliteral">""</span>, <span class="stringliteral">"The input folder name."</span>);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> CAFFE2_DEFINE_string(output_train_db_name,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="stringliteral">""</span>, <span class="stringliteral">"The output training db name."</span>);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> CAFFE2_DEFINE_string(output_test_db_name,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="stringliteral">""</span>, <span class="stringliteral">"The output testing db name."</span>);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> CAFFE2_DEFINE_string(db, <span class="stringliteral">"leveldb"</span>, <span class="stringliteral">"The db type."</span>);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> CAFFE2_DEFINE_bool(is_cifar100, <span class="keyword">false</span>,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="stringliteral">"If set, convert cifar100. Otherwise do cifar10."</span>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">namespace </span><a class="code" href="namespacecaffe2.html">caffe2</a> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">using</span> std::stringstream;</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">const</span> <span class="keywordtype">int</span> kCIFARSize = 32;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">const</span> <span class="keywordtype">int</span> kCIFARImageNBytes = kCIFARSize * kCIFARSize * 3;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">const</span> <span class="keywordtype">int</span> kCIFAR10BatchSize = 10000;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keyword">const</span> <span class="keywordtype">int</span> kCIFAR10TestDataSize = 10000;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">const</span> <span class="keywordtype">int</span> kCIFAR10TrainBatches = 5;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">const</span> <span class="keywordtype">int</span> kCIFAR100TrainDataSize = 50000;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword">const</span> <span class="keywordtype">int</span> kCIFAR100TestDataSize = 10000;</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> <span class="keywordtype">void</span> ReadImage(std::ifstream* file, <span class="keywordtype">int</span>* label, <span class="keywordtype">char</span>* buffer) {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">char</span> label_char;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_is_cifar100) {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Skip the coarse label.</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  file->read(&label_char, 1);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  file->read(&label_char, 1);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  *label = label_char;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Yes, there are better ways to do it, like in-place swap... but I am too</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// lazy so let's just write it in a memory-wasteful way.</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  std::array<char, kCIFARImageNBytes> channel_first_storage;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  file->read(channel_first_storage.data(), kCIFARImageNBytes);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c < 3; ++c) {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < kCIFARSize * kCIFARSize; ++i) {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  buffer[i * 3 + c] =</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  channel_first_storage[c * kCIFARSize * kCIFARSize + i];</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keywordtype">void</span> WriteToDB(<span class="keyword">const</span> <span class="keywordtype">string</span>& filename, <span class="keyword">const</span> <span class="keywordtype">int</span> num_items,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> <span class="keywordtype">int</span>& offset, db::DB* db) {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  TensorProtos protos;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  TensorProto* data = protos.add_protos();</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  TensorProto* label = protos.add_protos();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  data->set_data_type(TensorProto::BYTE);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  data->add_dims(kCIFARSize);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  data->add_dims(kCIFARSize);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  data->add_dims(3);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  label->set_data_type(TensorProto::INT32);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  label->add_dims(1);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  label->add_int32_data(0);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  LOG(INFO) << <span class="stringliteral">"Converting file "</span> << filename;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::ifstream data_file(filename.c_str(),</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  std::ios::in | std::ios::binary);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  CAFFE_ENFORCE(data_file, <span class="stringliteral">"Unable to open file "</span>, filename);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">char</span> str_buffer[kCIFARImageNBytes];</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">int</span> label_value;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">string</span> serialized_protos;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::unique_ptr<db::Transaction> transaction(db->NewTransaction());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> itemid = 0; itemid < num_items; ++itemid) {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  ReadImage(&data_file, &label_value, str_buffer);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  data->set_byte_data(str_buffer, kCIFARImageNBytes);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  label->set_int32_data(0, label_value);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  protos.SerializeToString(&serialized_protos);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  snprintf(str_buffer, kCIFARImageNBytes, <span class="stringliteral">"%05d"</span>,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  offset + itemid);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  transaction->Put(<span class="keywordtype">string</span>(str_buffer), serialized_protos);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keywordtype">void</span> ConvertCIFAR() {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  std::unique_ptr<db::DB> train_db(</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  db::CreateDB(caffe2::FLAGS_db, caffe2::FLAGS_output_train_db_name,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  db::NEW));</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::unique_ptr<db::DB> test_db(</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  db::CreateDB(caffe2::FLAGS_db, caffe2::FLAGS_output_test_db_name,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  db::NEW));</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">if</span> (!caffe2::FLAGS_is_cifar100) {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// This is cifar 10.</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> fileid = 0; fileid < kCIFAR10TrainBatches; ++fileid) {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  stringstream train_file;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  train_file << caffe2::FLAGS_input_folder << <span class="stringliteral">"/data_batch_"</span> << fileid + 1</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  << <span class="stringliteral">".bin"</span>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  WriteToDB(train_file.str(), kCIFAR10BatchSize,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  fileid * kCIFAR10BatchSize, train_db.get());</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  stringstream test_file;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  test_file << caffe2::FLAGS_input_folder << <span class="stringliteral">"/test_batch.bin"</span>;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  WriteToDB(test_file.str(), kCIFAR10TestDataSize, 0, test_db.get());</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="comment">// This is cifar 100.</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  stringstream train_file;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  train_file << caffe2::FLAGS_input_folder << <span class="stringliteral">"/train.bin"</span>;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  WriteToDB(train_file.str(), kCIFAR100TrainDataSize, 0, train_db.get());</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  stringstream test_file;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  test_file << caffe2::FLAGS_input_folder << <span class="stringliteral">"/test.bin"</span>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  WriteToDB(test_file.str(), kCIFAR100TestDataSize, 0, test_db.get());</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> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> } <span class="comment">// namespace caffe2</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</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="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="namespacecaffe2.html#af70b04a01a1779ddd61f9ef1e0a141b7">caffe2::GlobalInit</a>(&argc, &argv);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  caffe2::ConvertCIFAR();</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</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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