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 120 <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>&#160;<span class="comment">#!/usr/bin/env python</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="stringliteral">&quot;&quot;&quot;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>&#160;<span class="stringliteral">Usage</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<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>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<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>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<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>&#160;<span class="stringliteral">&quot;&quot;&quot;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="keyword">import</span> argparse</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="keyword">import</span> caffe</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="keyword">import</span> os</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<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>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keywordflow">if</span> __name__ == <span class="stringliteral">&quot;__main__&quot;</span>:</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;    <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#a90eee7a4677ca8b1ed116364a24367f9">   18</a></span>&#160;    parser = argparse.ArgumentParser(<span class="stringliteral">&#39;Extract Caffe net parameters&#39;</span>)</div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">   19</a></span>&#160;    parser.add_argument(<span class="stringliteral">&#39;-m&#39;</span>, dest=<span class="stringliteral">&#39;modelFile&#39;</span>, type=str, required=<span class="keyword">True</span>, help=<span class="stringliteral">&#39;Path to Caffe model file&#39;</span>)</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;    parser.add_argument(<span class="stringliteral">&#39;-n&#39;</span>, dest=<span class="stringliteral">&#39;netFile&#39;</span>, type=str, required=<span class="keyword">True</span>, help=<span class="stringliteral">&#39;Path to Caffe netlist&#39;</span>)</div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml#a8187411843a6284ffb964ef3fb9fcab3">   21</a></span>&#160;    args = parser.parse_args()</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    <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#a055ae62802a8db7e7f24be1dce08c0b5">   24</a></span>&#160;    net = caffe.Net(args.netFile, 1, weights=args.modelFile)</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <span class="comment"># Read and dump blobs</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <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>&#160;        print(<span class="stringliteral">&#39;Name: {0}, Blobs: {1}&#39;</span>.format(name, len(blobs)))</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;        <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>&#160;            <span class="comment"># Weights</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;            <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>&#160;                outname = name + <span class="stringliteral">&quot;_w&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;            <span class="comment"># Bias</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;            <span class="keywordflow">elif</span> i == 1:</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;                outname = name + <span class="stringliteral">&quot;_b&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;            <span class="keywordflow">else</span>:</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;                <span class="keywordflow">pass</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespacecaffe__data__extractor.xhtml#a49e21719b906edce54a892874d995cac">   39</a></span>&#160;            varname = outname</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;            <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>&#160;                varname = varname.replace(os.path.sep, <span class="stringliteral">&#39;_&#39;</span>)</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                print(<span class="stringliteral">&quot;Renaming variable {0} to {1}&quot;</span>.format(outname, varname))</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;            print(<span class="stringliteral">&quot;Saving variable {0} with shape {1} ...&quot;</span>.format(varname, blobs[i].data.shape))</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;            <span class="comment"># Dump as binary</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;            np.save(varname, blobs[i].data)</div></div><!-- fragment --></div><!-- contents -->
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