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| <div class="title">caffe_data_extractor.py</div> </div> |
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| <div class="contents"> |
| <a href="caffe__data__extractor_8py.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml"> 1</a></span> <span class="comment">#!/usr/bin/env python</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="stringliteral">"""Extracts trainable parameters from Caffe models and stores them in numpy arrays.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="stringliteral">Usage</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="stringliteral"> python caffe_data_extractor -m path_to_caffe_model_file -n path_to_caffe_netlist</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="stringliteral"></span></div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="stringliteral">Saves each variable to a {variable_name}.npy binary file.</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="stringliteral"></span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="stringliteral">Tested with Caffe 1.0 on Python 2.7</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="stringliteral">"""</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="keyword">import</span> argparse</div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="keyword">import</span> caffe</div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">import</span> os</div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">import</span> numpy <span class="keyword">as</span> np</div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keywordflow">if</span> __name__ == <span class="stringliteral">"__main__"</span>:</div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="comment"># Parse arguments</span></div> |
| <div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml#a8842070e9da559035fb0c7cd5f8b3c6e"> 18</a></span>  parser = argparse.ArgumentParser(<span class="stringliteral">'Extract Caffe net parameters'</span>)</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  parser.add_argument(<span class="stringliteral">'-m'</span>, dest=<span class="stringliteral">'modelFile'</span>, type=str, required=<span class="keyword">True</span>, help=<span class="stringliteral">'Path to Caffe model file'</span>)</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  parser.add_argument(<span class="stringliteral">'-n'</span>, dest=<span class="stringliteral">'netFile'</span>, type=str, required=<span class="keyword">True</span>, help=<span class="stringliteral">'Path to Caffe netlist'</span>)</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml#aad3cdfd6574de97bf37448087aaff11d"> 21</a></span>  args = parser.parse_args()</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment"># Create Caffe Net</span></div> |
| <div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml#a78d303386ae67003d4c33788ecf26b2f"> 24</a></span>  net = caffe.Net(args.netFile, 1, weights=args.modelFile)</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="comment"># Read and dump blobs</span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">for</span> name, blobs <span class="keywordflow">in</span> net.params.iteritems():</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  print(<span class="stringliteral">'Name: {0}, Blobs: {1}'</span>.format(name, len(blobs)))</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">for</span> i <span class="keywordflow">in</span> range(len(blobs)):</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="comment"># Weights</span></div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">if</span> i == 0:</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml#a9e3448e9350a8c3d5e421ecb1e64ba50"> 32</a></span>  outname = name + <span class="stringliteral">"_w"</span></div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="comment"># Bias</span></div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">elif</span> i == 1:</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  outname = name + <span class="stringliteral">"_b"</span></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">else</span>:</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">pass</span></div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div> |
| <div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml#a79c289b28417b230be74544d8f3fb291"> 39</a></span>  varname = outname</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">if</span> os.path.sep <span class="keywordflow">in</span> varname:</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  varname = varname.replace(os.path.sep, <span class="stringliteral">'_'</span>)</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  print(<span class="stringliteral">"Renaming variable {0} to {1}"</span>.format(outname, varname))</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  print(<span class="stringliteral">"Saving variable {0} with shape {1} ..."</span>.format(varname, blobs[i].data.shape))</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment"># Dump as binary</span></div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  np.save(varname, blobs[i].data)</div> |
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