Cpt.Captain/connecting_the_dots
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Reformat $EVERYTHING

Browse Source
This commit is contained in:
CptCaptain
2021-11-15 16:53:30 +01:00
parent 56f2aa7d5d
commit 43df77fb9b
32 changed files with 4171 additions and 3749 deletions
Download Patch File Download Diff File Expand all files Collapse all files
data/lcn/lcn.html
+292 -103
View File
@@ -2,7 +2,7 @@
<!-- Generated by Cython 0.29 -->
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<title>Cython: lcn.pyx</title>
<style type="text/css">
@@ -355,17 +355,23 @@ body.cython { font-family: courier; font-size: 12; }
.cython .vi { color: #19177C } /* Name.Variable.Instance */
.cython .vm { color: #19177C } /* Name.Variable.Magic */
.cython .il { color: #666666 } /* Literal.Number.Integer.Long */
</style>
</head>
<body class="cython">
<p><span style="border-bottom: solid 1px grey;">Generated by Cython 0.29</span></p>
<p>
<span style="background-color: #FFFF00">Yellow lines</span> hint at Python interaction.<br />
<span style="background-color: #FFFF00">Yellow lines</span> hint at Python interaction.<br/>
Click on a line that starts with a "<code>+</code>" to see the C code that Cython generated for it.
</p>
<p>Raw output: <a href="lcn.c">lcn.c</a></p>
<div class="cython"><pre class="cython line score-16" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">01</span>: <span class="k">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span></pre>
<pre class='cython code score-16 '> __pyx_t_1 = <span class='pyx_c_api'>__Pyx_Import</span>(__pyx_n_s_numpy, 0, -1);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1, __pyx_L1_error)</span>
<div class="cython">
<pre class="cython line score-16"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">01</span>: <span class="k">import</span> <span class="nn">numpy</span> <span
class="k">as</span> <span class="nn">np</span></pre>
<pre class='cython code score-16 '> __pyx_t_1 = <span class='pyx_c_api'>__Pyx_Import</span>(__pyx_n_s_numpy, 0, -1);<span
class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);
if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_np, __pyx_t_1) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L1_error)</span>
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;
@@ -374,22 +380,39 @@ body.cython { font-family: courier; font-size: 12; }
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);
if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_test, __pyx_t_1) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L1_error)</span>
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;
</pre><pre class="cython line score-0">&#xA0;<span class="">02</span>: <span class="k">cimport</span> <span class="nn">cython</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">03</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">04</span>: <span class="c"># use c square root function</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">05</span>: <span class="k">cdef</span> <span class="kr">extern</span> <span class="k">from</span> <span class="s">&quot;math.h&quot;</span><span class="p">:</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">06</span>: <span class="nb">float</span> <span class="n">sqrt</span><span class="p">(</span><span class="nb">float</span> <span class="n">x</span><span class="p">)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">07</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">08</span>: <span class="nd">@cython</span><span class="o">.</span><span class="n">boundscheck</span><span class="p">(</span><span class="bp">False</span><span class="p">)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">09</span>: <span class="nd">@cython</span><span class="o">.</span><span class="n">wraparound</span><span class="p">(</span><span class="bp">False</span><span class="p">)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">10</span>: <span class="nd">@cython</span><span class="o">.</span><span class="n">cdivision</span><span class="p">(</span><span class="bp">True</span><span class="p">)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">11</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">12</span>: <span class="c"># 3 parameters:</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">13</span>: <span class="c"># - float image</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">14</span>: <span class="c"># - kernel size (actually this is the radius, kernel is 2*k+1)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">15</span>: <span class="c"># - small constant epsilon that is used to avoid division by zero</span></pre>
<pre class="cython line score-67" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">16</span>: <span class="k">def</span> <span class="nf">normalize</span><span class="p">(</span><span class="nb">float</span><span class="p">[:,</span> <span class="p">:]</span> <span class="n">img</span><span class="p">,</span> <span class="nb">int</span> <span class="n">kernel_size</span> <span class="o">=</span> <span class="mf">4</span><span class="p">,</span> <span class="nb">float</span> <span class="n">epsilon</span> <span class="o">=</span> <span class="mf">0.01</span><span class="p">):</span></pre>
<pre class='cython code score-67 '>/* Python wrapper */
</pre>
<pre class="cython line score-0">&#xA0;<span class="">02</span>: <span class="k">cimport</span> <span class="nn">cython</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">03</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">04</span>: <span class="c"># use c square root function</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">05</span>: <span class="k">cdef</span> <span
class="kr">extern</span> <span class="k">from</span> <span class="s">&quot;math.h&quot;</span><span
class="p">:</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">06</span>: <span class="nb">float</span> <span class="n">sqrt</span><span
class="p">(</span><span class="nb">float</span> <span class="n">x</span><span class="p">)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">07</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">08</span>: <span class="nd">@cython</span><span
class="o">.</span><span class="n">boundscheck</span><span class="p">(</span><span
class="bp">False</span><span class="p">)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">09</span>: <span class="nd">@cython</span><span
class="o">.</span><span class="n">wraparound</span><span class="p">(</span><span
class="bp">False</span><span class="p">)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">10</span>: <span class="nd">@cython</span><span
class="o">.</span><span class="n">cdivision</span><span class="p">(</span><span class="bp">True</span><span
class="p">)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">11</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">12</span>: <span class="c"># 3 parameters:</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">13</span>: <span class="c"># - float image</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">14</span>: <span class="c"># - kernel size (actually this is the radius, kernel is 2*k+1)</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">15</span>: <span class="c"># - small constant epsilon that is used to avoid division by zero</span></pre>
<pre class="cython line score-67"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">16</span>: <span class="k">def</span> <span class="nf">normalize</span><span
class="p">(</span><span class="nb">float</span><span class="p">[:,</span> <span class="p">:]</span> <span
class="n">img</span><span class="p">,</span> <span class="nb">int</span> <span class="n">kernel_size</span> <span
class="o">=</span> <span class="mf">4</span><span class="p">,</span> <span class="nb">float</span> <span
class="n">epsilon</span> <span class="o">=</span> <span class="mf">0.01</span><span
class="p">):</span></pre>
<pre class='cython code score-67 '>/* Python wrapper */
static PyObject *__pyx_pw_3lcn_1normalize(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_3lcn_1normalize = {"normalize", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_3lcn_1normalize, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_3lcn_1normalize(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
@@ -434,7 +457,8 @@ static PyObject *__pyx_pw_3lcn_1normalize(PyObject *__pyx_self, PyObject *__pyx_
}
}
if (unlikely(kw_args &gt; 0)) {
if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "normalize") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 16, __pyx_L3_error)</span>
if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "normalize") &lt; 0)) <span
class='error_goto'>__PYX_ERR(0, 16, __pyx_L3_error)</span>
}
} else {
switch (<span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args)) {
@@ -447,21 +471,27 @@ static PyObject *__pyx_pw_3lcn_1normalize(PyObject *__pyx_self, PyObject *__pyx_
default: goto __pyx_L5_argtuple_error;
}
}
__pyx_v_img = <span class='pyx_c_api'>__Pyx_PyObject_to_MemoryviewSlice_dsds_float</span>(values[0], PyBUF_WRITABLE);<span class='error_goto'> if (unlikely(!__pyx_v_img.memview)) __PYX_ERR(0, 16, __pyx_L3_error)</span>
__pyx_v_img = <span class='pyx_c_api'>__Pyx_PyObject_to_MemoryviewSlice_dsds_float</span>(values[0], PyBUF_WRITABLE);<span
class='error_goto'> if (unlikely(!__pyx_v_img.memview)) __PYX_ERR(0, 16, __pyx_L3_error)</span>
if (values[1]) {
__pyx_v_kernel_size = <span class='pyx_c_api'>__Pyx_PyInt_As_int</span>(values[1]); if (unlikely((__pyx_v_kernel_size == (int)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 16, __pyx_L3_error)</span>
__pyx_v_kernel_size = <span class='pyx_c_api'>__Pyx_PyInt_As_int</span>(values[1]); if (unlikely((__pyx_v_kernel_size == (int)-1) &amp;&amp; <span
class='py_c_api'>PyErr_Occurred</span>())) <span
class='error_goto'>__PYX_ERR(0, 16, __pyx_L3_error)</span>
} else {
__pyx_v_kernel_size = ((int)4);
}
if (values[2]) {
__pyx_v_epsilon = __pyx_<span class='py_c_api'>PyFloat_AsFloat</span>(values[2]); if (unlikely((__pyx_v_epsilon == (float)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 16, __pyx_L3_error)</span>
__pyx_v_epsilon = __pyx_<span class='py_c_api'>PyFloat_AsFloat</span>(values[2]); if (unlikely((__pyx_v_epsilon == (float)-1) &amp;&amp; <span
class='py_c_api'>PyErr_Occurred</span>())) <span
class='error_goto'>__PYX_ERR(0, 16, __pyx_L3_error)</span>
} else {
__pyx_v_epsilon = ((float)0.01);
}
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
<span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>("normalize", 0, 1, 3, <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args)); <span class='error_goto'>__PYX_ERR(0, 16, __pyx_L3_error)</span>
<span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>("normalize", 0, 1, 3, <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args)); <span
class='error_goto'>__PYX_ERR(0, 16, __pyx_L3_error)</span>
__pyx_L3_error:;
<span class='pyx_c_api'>__Pyx_AddTraceback</span>("lcn.normalize", __pyx_clineno, __pyx_lineno, __pyx_filename);
<span class='refnanny'>__Pyx_RefNannyFinishContext</span>();
@@ -515,27 +545,49 @@ static PyObject *__pyx_pf_3lcn_normalize(CYTHON_UNUSED PyObject *__pyx_self, __P
return __pyx_r;
}
/* … */
__pyx_tuple__19 = <span class='py_c_api'>PyTuple_Pack</span>(19, __pyx_n_s_img, __pyx_n_s_kernel_size, __pyx_n_s_epsilon, __pyx_n_s_M, __pyx_n_s_N, __pyx_n_s_img_lcn, __pyx_n_s_img_std, __pyx_n_s_img_lcn_view, __pyx_n_s_img_std_view, __pyx_n_s_tmp, __pyx_n_s_mean, __pyx_n_s_stddev, __pyx_n_s_m, __pyx_n_s_n, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_ks, __pyx_n_s_eps, __pyx_n_s_num);<span class='error_goto'> if (unlikely(!__pyx_tuple__19)) __PYX_ERR(0, 16, __pyx_L1_error)</span>
__pyx_tuple__19 = <span class='py_c_api'>PyTuple_Pack</span>(19, __pyx_n_s_img, __pyx_n_s_kernel_size, __pyx_n_s_epsilon, __pyx_n_s_M, __pyx_n_s_N, __pyx_n_s_img_lcn, __pyx_n_s_img_std, __pyx_n_s_img_lcn_view, __pyx_n_s_img_std_view, __pyx_n_s_tmp, __pyx_n_s_mean, __pyx_n_s_stddev, __pyx_n_s_m, __pyx_n_s_n, __pyx_n_s_i, __pyx_n_s_j, __pyx_n_s_ks, __pyx_n_s_eps, __pyx_n_s_num);<span
class='error_goto'> if (unlikely(!__pyx_tuple__19)) __PYX_ERR(0, 16, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple__19);
<span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple__19);
/* … */
__pyx_t_1 = PyCFunction_NewEx(&amp;__pyx_mdef_3lcn_1normalize, NULL, __pyx_n_s_lcn);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 16, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);
if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_normalize, __pyx_t_1) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 16, __pyx_L1_error)</span>
if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_normalize, __pyx_t_1) &lt; 0) <span
class='error_goto'>__PYX_ERR(0, 16, __pyx_L1_error)</span>
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;
__pyx_codeobj__20 = (PyObject*)<span class='pyx_c_api'>__Pyx_PyCode_New</span>(3, 0, 19, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__19, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_lcn_pyx, __pyx_n_s_normalize, 16, __pyx_empty_bytes);<span class='error_goto'> if (unlikely(!__pyx_codeobj__20)) __PYX_ERR(0, 16, __pyx_L1_error)</span>
</pre><pre class="cython line score-0">&#xA0;<span class="">17</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">18</span>: <span class="c"># image dimensions</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">19</span>: <span class="k">cdef</span> <span class="kt">Py_ssize_t</span> <span class="nf">M</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mf">0</span><span class="p">]</span></pre>
<pre class='cython code score-0 '> __pyx_v_M = (__pyx_v_img.shape[0]);
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">20</span>: <span class="k">cdef</span> <span class="kt">Py_ssize_t</span> <span class="nf">N</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mf">1</span><span class="p">]</span></pre>
<pre class='cython code score-0 '> __pyx_v_N = (__pyx_v_img.shape[1]);
</pre><pre class="cython line score-0">&#xA0;<span class="">21</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">22</span>: <span class="c"># create outputs and output views</span></pre>
<pre class="cython line score-46" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">23</span>: <span class="n">img_lcn</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">M</span><span class="p">,</span> <span class="n">N</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></pre>
<pre class='cython code score-46 '> <span class='pyx_c_api'>__Pyx_GetModuleGlobalName</span>(__pyx_t_1, __pyx_n_s_np);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
__pyx_codeobj__20 = (PyObject*)<span class='pyx_c_api'>__Pyx_PyCode_New</span>(3, 0, 19, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__19, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_lcn_pyx, __pyx_n_s_normalize, 16, __pyx_empty_bytes);<span
class='error_goto'> if (unlikely(!__pyx_codeobj__20)) __PYX_ERR(0, 16, __pyx_L1_error)</span>
</pre>
<pre class="cython line score-0">&#xA0;<span class="">17</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">18</span>: <span class="c"># image dimensions</span></pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">19</span>: <span class="k">cdef</span> <span class="kt">Py_ssize_t</span> <span
class="nf">M</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span
class="n">shape</span><span class="p">[</span><span class="mf">0</span><span class="p">]</span></pre>
<pre class='cython code score-0 '> __pyx_v_M = (__pyx_v_img.shape[0]);
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">20</span>: <span class="k">cdef</span> <span class="kt">Py_ssize_t</span> <span
class="nf">N</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span
class="n">shape</span><span class="p">[</span><span class="mf">1</span><span class="p">]</span></pre>
<pre class='cython code score-0 '> __pyx_v_N = (__pyx_v_img.shape[1]);
</pre>
<pre class="cython line score-0">&#xA0;<span class="">21</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">22</span>: <span class="c"># create outputs and output views</span></pre>
<pre class="cython line score-46"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">23</span>: <span class="n">img_lcn</span> <span class="o">=</span> <span
class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span
class="n">M</span><span class="p">,</span> <span class="n">N</span><span class="p">),</span> <span
class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span
class="n">float32</span><span class="p">)</span></pre>
<pre class='cython code score-46 '> <span class='pyx_c_api'>__Pyx_GetModuleGlobalName</span>(__pyx_t_1, __pyx_n_s_np);<span
class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);
__pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_1, __pyx_n_s_zeros);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
__pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_1, __pyx_n_s_zeros);<span
class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = <span class='py_c_api'>PyInt_FromSsize_t</span>(__pyx_v_M);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
@@ -559,22 +611,34 @@ static PyObject *__pyx_pf_3lcn_normalize(CYTHON_UNUSED PyObject *__pyx_self, __P
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);
<span class='pyx_c_api'>__Pyx_GetModuleGlobalName</span>(__pyx_t_1, __pyx_n_s_np);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);
__pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_1, __pyx_n_s_float32);<span class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
__pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_1, __pyx_n_s_float32);<span
class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_5);
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;
if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_t_4, __pyx_n_s_dtype, __pyx_t_5) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 23, __pyx_L1_error)</span>
if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_t_4, __pyx_n_s_dtype, __pyx_t_5) &lt; 0) <span
class='error_goto'>__PYX_ERR(0, 23, __pyx_L1_error)</span>
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyObject_Call</span>(__pyx_t_2, __pyx_t_3, __pyx_t_4);<span class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
__pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyObject_Call</span>(__pyx_t_2, __pyx_t_3, __pyx_t_4);<span
class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 23, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_5);
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_3); __pyx_t_3 = 0;
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_4); __pyx_t_4 = 0;
__pyx_v_img_lcn = __pyx_t_5;
__pyx_t_5 = 0;
</pre><pre class="cython line score-46" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">24</span>: <span class="n">img_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">M</span><span class="p">,</span> <span class="n">N</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></pre>
<pre class='cython code score-46 '> <span class='pyx_c_api'>__Pyx_GetModuleGlobalName</span>(__pyx_t_5, __pyx_n_s_np);<span class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
</pre>
<pre class="cython line score-46"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">24</span>: <span class="n">img_std</span> <span class="o">=</span> <span
class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span
class="n">M</span><span class="p">,</span> <span class="n">N</span><span class="p">),</span> <span
class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span
class="n">float32</span><span class="p">)</span></pre>
<pre class='cython code score-46 '> <span class='pyx_c_api'>__Pyx_GetModuleGlobalName</span>(__pyx_t_5, __pyx_n_s_np);<span
class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_5);
__pyx_t_4 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_5, __pyx_n_s_zeros);<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
__pyx_t_4 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_5, __pyx_n_s_zeros);<span
class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_5 = <span class='py_c_api'>PyInt_FromSsize_t</span>(__pyx_v_M);<span class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
@@ -598,114 +662,236 @@ static PyObject *__pyx_pf_3lcn_normalize(CYTHON_UNUSED PyObject *__pyx_self, __P
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);
<span class='pyx_c_api'>__Pyx_GetModuleGlobalName</span>(__pyx_t_5, __pyx_n_s_np);<span class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_5);
__pyx_t_1 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_5, __pyx_n_s_float32);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
__pyx_t_1 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_5, __pyx_n_s_float32);<span
class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_5); __pyx_t_5 = 0;
if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_t_2, __pyx_n_s_dtype, __pyx_t_1) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 24, __pyx_L1_error)</span>
if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_t_2, __pyx_n_s_dtype, __pyx_t_1) &lt; 0) <span
class='error_goto'>__PYX_ERR(0, 24, __pyx_L1_error)</span>
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = <span class='pyx_c_api'>__Pyx_PyObject_Call</span>(__pyx_t_4, __pyx_t_3, __pyx_t_2);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
__pyx_t_1 = <span class='pyx_c_api'>__Pyx_PyObject_Call</span>(__pyx_t_4, __pyx_t_3, __pyx_t_2);<span
class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 24, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_4); __pyx_t_4 = 0;
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_3); __pyx_t_3 = 0;
<span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;
__pyx_v_img_std = __pyx_t_1;
__pyx_t_1 = 0;
</pre><pre class="cython line score-2" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">25</span>: <span class="k">cdef</span> <span class="kt">float</span>[<span class="p">:,</span> <span class="p">:]</span> <span class="n">img_lcn_view</span> <span class="o">=</span> <span class="n">img_lcn</span></pre>
<pre class='cython code score-2 '> __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_to_MemoryviewSlice_dsds_float</span>(__pyx_v_img_lcn, PyBUF_WRITABLE);<span class='error_goto'> if (unlikely(!__pyx_t_6.memview)) __PYX_ERR(0, 25, __pyx_L1_error)</span>
</pre>
<pre class="cython line score-2"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">25</span>: <span class="k">cdef</span> <span class="kt">float</span>[<span class="p">:,</span> <span
class="p">:]</span> <span class="n">img_lcn_view</span> <span class="o">=</span> <span
class="n">img_lcn</span></pre>
<pre class='cython code score-2 '> __pyx_t_6 = <span
class='pyx_c_api'>__Pyx_PyObject_to_MemoryviewSlice_dsds_float</span>(__pyx_v_img_lcn, PyBUF_WRITABLE);<span
class='error_goto'> if (unlikely(!__pyx_t_6.memview)) __PYX_ERR(0, 25, __pyx_L1_error)</span>
__pyx_v_img_lcn_view = __pyx_t_6;
__pyx_t_6.memview = NULL;
__pyx_t_6.data = NULL;
</pre><pre class="cython line score-2" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">26</span>: <span class="k">cdef</span> <span class="kt">float</span>[<span class="p">:,</span> <span class="p">:]</span> <span class="n">img_std_view</span> <span class="o">=</span> <span class="n">img_std</span></pre>
<pre class='cython code score-2 '> __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_to_MemoryviewSlice_dsds_float</span>(__pyx_v_img_std, PyBUF_WRITABLE);<span class='error_goto'> if (unlikely(!__pyx_t_6.memview)) __PYX_ERR(0, 26, __pyx_L1_error)</span>
</pre>
<pre class="cython line score-2"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">26</span>: <span class="k">cdef</span> <span class="kt">float</span>[<span class="p">:,</span> <span
class="p">:]</span> <span class="n">img_std_view</span> <span class="o">=</span> <span
class="n">img_std</span></pre>
<pre class='cython code score-2 '> __pyx_t_6 = <span
class='pyx_c_api'>__Pyx_PyObject_to_MemoryviewSlice_dsds_float</span>(__pyx_v_img_std, PyBUF_WRITABLE);<span
class='error_goto'> if (unlikely(!__pyx_t_6.memview)) __PYX_ERR(0, 26, __pyx_L1_error)</span>
__pyx_v_img_std_view = __pyx_t_6;
__pyx_t_6.memview = NULL;
__pyx_t_6.data = NULL;
</pre><pre class="cython line score-0">&#xA0;<span class="">27</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">28</span>: <span class="c"># temporary c variables</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">29</span>: <span class="k">cdef</span> <span class="kt">float</span> <span class="nf">tmp</span><span class="p">,</span> <span class="nf">mean</span><span class="p">,</span> <span class="nf">stddev</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">30</span>: <span class="k">cdef</span> <span class="kt">Py_ssize_t</span> <span class="nf">m</span><span class="p">,</span> <span class="nf">n</span><span class="p">,</span> <span class="nf">i</span><span class="p">,</span> <span class="nf">j</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">31</span>: <span class="k">cdef</span> <span class="kt">Py_ssize_t</span> <span class="nf">ks</span> <span class="o">=</span> <span class="n">kernel_size</span></pre>
<pre class='cython code score-0 '> __pyx_v_ks = __pyx_v_kernel_size;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">32</span>: <span class="k">cdef</span> <span class="kt">float</span> <span class="nf">eps</span> <span class="o">=</span> <span class="n">epsilon</span></pre>
<pre class='cython code score-0 '> __pyx_v_eps = __pyx_v_epsilon;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">33</span>: <span class="k">cdef</span> <span class="kt">float</span> <span class="nf">num</span> <span class="o">=</span> <span class="p">(</span><span class="n">ks</span><span class="o">*</span><span class="mf">2</span><span class="o">+</span><span class="mf">1</span><span class="p">)</span><span class="o">**</span><span class="mf">2</span></pre>
<pre class='cython code score-0 '> __pyx_v_num = __Pyx_pow_Py_ssize_t(((__pyx_v_ks * 2) + 1), 2);
</pre><pre class="cython line score-0">&#xA0;<span class="">34</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">35</span>: <span class="c"># for all pixels do</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">36</span>: <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span class="n">M</span><span class="o">-</span><span class="n">ks</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_7 = (__pyx_v_M - __pyx_v_ks);
</pre>
<pre class="cython line score-0">&#xA0;<span class="">27</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">28</span>: <span class="c"># temporary c variables</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">29</span>: <span class="k">cdef</span> <span class="kt">float</span> <span
class="nf">tmp</span><span class="p">,</span> <span class="nf">mean</span><span class="p">,</span> <span
class="nf">stddev</span></pre>
<pre class="cython line score-0">&#xA0;<span class="">30</span>: <span class="k">cdef</span> <span class="kt">Py_ssize_t</span> <span
class="nf">m</span><span class="p">,</span> <span class="nf">n</span><span class="p">,</span> <span
class="nf">i</span><span class="p">,</span> <span class="nf">j</span></pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">31</span>: <span class="k">cdef</span> <span class="kt">Py_ssize_t</span> <span
class="nf">ks</span> <span class="o">=</span> <span class="n">kernel_size</span></pre>
<pre class='cython code score-0 '> __pyx_v_ks = __pyx_v_kernel_size;
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">32</span>: <span class="k">cdef</span> <span class="kt">float</span> <span
class="nf">eps</span> <span class="o">=</span> <span class="n">epsilon</span></pre>
<pre class='cython code score-0 '> __pyx_v_eps = __pyx_v_epsilon;
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">33</span>: <span class="k">cdef</span> <span class="kt">float</span> <span
class="nf">num</span> <span class="o">=</span> <span class="p">(</span><span class="n">ks</span><span
class="o">*</span><span class="mf">2</span><span class="o">+</span><span class="mf">1</span><span class="p">)</span><span
class="o">**</span><span class="mf">2</span></pre>
<pre class='cython code score-0 '> __pyx_v_num = __Pyx_pow_Py_ssize_t(((__pyx_v_ks * 2) + 1), 2);
</pre>
<pre class="cython line score-0">&#xA0;<span class="">34</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">35</span>: <span
class="c"># for all pixels do</span></pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">36</span>: <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span
class="nb">range</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span
class="n">M</span><span class="o">-</span><span class="n">ks</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_7 = (__pyx_v_M - __pyx_v_ks);
__pyx_t_8 = __pyx_t_7;
for (__pyx_t_9 = __pyx_v_ks; __pyx_t_9 &lt; __pyx_t_8; __pyx_t_9+=1) {
__pyx_v_m = __pyx_t_9;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">37</span>: <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">ks</span><span class="p">,</span><span class="n">N</span><span class="o">-</span><span class="n">ks</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_10 = (__pyx_v_N - __pyx_v_ks);
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">37</span>: <span class="k">for</span> <span class="n">n</span> <span
class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">ks</span><span
class="p">,</span><span class="n">N</span><span class="o">-</span><span class="n">ks</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_10 = (__pyx_v_N - __pyx_v_ks);
__pyx_t_11 = __pyx_t_10;
for (__pyx_t_12 = __pyx_v_ks; __pyx_t_12 &lt; __pyx_t_11; __pyx_t_12+=1) {
__pyx_v_n = __pyx_t_12;
</pre><pre class="cython line score-0">&#xA0;<span class="">38</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">39</span>: <span class="c"># calculate mean</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">40</span>: <span class="n">mean</span> <span class="o">=</span> <span class="mf">0</span><span class="p">;</span></pre>
<pre class='cython code score-0 '> __pyx_v_mean = 0.0;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">41</span>: <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="n">ks</span><span class="p">,</span><span class="n">ks</span><span class="o">+</span><span class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_13 = (__pyx_v_ks + 1);
</pre>
<pre class="cython line score-0">&#xA0;<span class="">38</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">39</span>: <span class="c"># calculate mean</span></pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">40</span>: <span class="n">mean</span> <span class="o">=</span> <span
class="mf">0</span><span class="p">;</span></pre>
<pre class='cython code score-0 '> __pyx_v_mean = 0.0;
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">41</span>: <span class="k">for</span> <span class="n">i</span> <span
class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span
class="n">ks</span><span class="p">,</span><span class="n">ks</span><span class="o">+</span><span
class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_13 = (__pyx_v_ks + 1);
__pyx_t_14 = __pyx_t_13;
for (__pyx_t_15 = (-__pyx_v_ks); __pyx_t_15 &lt; __pyx_t_14; __pyx_t_15+=1) {
__pyx_v_i = __pyx_t_15;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">42</span>: <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="n">ks</span><span class="p">,</span><span class="n">ks</span><span class="o">+</span><span class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_16 = (__pyx_v_ks + 1);
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">42</span>: <span class="k">for</span> <span class="n">j</span> <span
class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span
class="n">ks</span><span class="p">,</span><span class="n">ks</span><span class="o">+</span><span
class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_16 = (__pyx_v_ks + 1);
__pyx_t_17 = __pyx_t_16;
for (__pyx_t_18 = (-__pyx_v_ks); __pyx_t_18 &lt; __pyx_t_17; __pyx_t_18+=1) {
__pyx_v_j = __pyx_t_18;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">43</span>: <span class="n">mean</span> <span class="o">+=</span> <span class="n">img</span><span class="p">[</span><span class="n">m</span><span class="o">+</span><span class="n">i</span><span class="p">,</span> <span class="n">n</span><span class="o">+</span><span class="n">j</span><span class="p">]</span></pre>
<pre class='cython code score-0 '> __pyx_t_19 = (__pyx_v_m + __pyx_v_i);
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">43</span>: <span class="n">mean</span> <span class="o">+=</span> <span
class="n">img</span><span class="p">[</span><span class="n">m</span><span class="o">+</span><span class="n">i</span><span
class="p">,</span> <span class="n">n</span><span class="o">+</span><span class="n">j</span><span
class="p">]</span></pre>
<pre class='cython code score-0 '> __pyx_t_19 = (__pyx_v_m + __pyx_v_i);
__pyx_t_20 = (__pyx_v_n + __pyx_v_j);
__pyx_v_mean = (__pyx_v_mean + (*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_img.data + __pyx_t_19 * __pyx_v_img.strides[0]) ) + __pyx_t_20 * __pyx_v_img.strides[1]) ))));
}
}
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">44</span>: <span class="n">mean</span> <span class="o">=</span> <span class="n">mean</span><span class="o">/</span><span class="n">num</span></pre>
<pre class='cython code score-0 '> __pyx_v_mean = (__pyx_v_mean / __pyx_v_num);
</pre><pre class="cython line score-0">&#xA0;<span class="">45</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">46</span>: <span class="c"># calculate std dev</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">47</span>: <span class="n">stddev</span> <span class="o">=</span> <span class="mf">0</span><span class="p">;</span></pre>
<pre class='cython code score-0 '> __pyx_v_stddev = 0.0;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">48</span>: <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="n">ks</span><span class="p">,</span><span class="n">ks</span><span class="o">+</span><span class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_13 = (__pyx_v_ks + 1);
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">44</span>: <span class="n">mean</span> <span class="o">=</span> <span
class="n">mean</span><span class="o">/</span><span class="n">num</span></pre>
<pre class='cython code score-0 '> __pyx_v_mean = (__pyx_v_mean / __pyx_v_num);
</pre>
<pre class="cython line score-0">&#xA0;<span class="">45</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">46</span>: <span
class="c"># calculate std dev</span></pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">47</span>: <span class="n">stddev</span> <span class="o">=</span> <span
class="mf">0</span><span class="p">;</span></pre>
<pre class='cython code score-0 '> __pyx_v_stddev = 0.0;
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">48</span>: <span class="k">for</span> <span class="n">i</span> <span
class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span
class="n">ks</span><span class="p">,</span><span class="n">ks</span><span class="o">+</span><span
class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_13 = (__pyx_v_ks + 1);
__pyx_t_14 = __pyx_t_13;
for (__pyx_t_15 = (-__pyx_v_ks); __pyx_t_15 &lt; __pyx_t_14; __pyx_t_15+=1) {
__pyx_v_i = __pyx_t_15;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">49</span>: <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="n">ks</span><span class="p">,</span><span class="n">ks</span><span class="o">+</span><span class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_16 = (__pyx_v_ks + 1);
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">49</span>: <span class="k">for</span> <span class="n">j</span> <span
class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span
class="n">ks</span><span class="p">,</span><span class="n">ks</span><span class="o">+</span><span
class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_16 = (__pyx_v_ks + 1);
__pyx_t_17 = __pyx_t_16;
for (__pyx_t_18 = (-__pyx_v_ks); __pyx_t_18 &lt; __pyx_t_17; __pyx_t_18+=1) {
__pyx_v_j = __pyx_t_18;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">50</span>: <span class="n">stddev</span> <span class="o">=</span> <span class="n">stddev</span> <span class="o">+</span> <span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="n">m</span><span class="o">+</span><span class="n">i</span><span class="p">,</span> <span class="n">n</span><span class="o">+</span><span class="n">j</span><span class="p">]</span><span class="o">-</span><span class="n">mean</span><span class="p">)</span><span class="o">*</span><span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="n">m</span><span class="o">+</span><span class="n">i</span><span class="p">,</span> <span class="n">n</span><span class="o">+</span><span class="n">j</span><span class="p">]</span><span class="o">-</span><span class="n">mean</span><span class="p">)</span></pre>
<pre class='cython code score-0 '> __pyx_t_21 = (__pyx_v_m + __pyx_v_i);
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">50</span>: <span class="n">stddev</span> <span class="o">=</span> <span
class="n">stddev</span> <span class="o">+</span> <span class="p">(</span><span class="n">img</span><span
class="p">[</span><span class="n">m</span><span class="o">+</span><span class="n">i</span><span
class="p">,</span> <span class="n">n</span><span class="o">+</span><span class="n">j</span><span
class="p">]</span><span class="o">-</span><span class="n">mean</span><span class="p">)</span><span
class="o">*</span><span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="n">m</span><span
class="o">+</span><span class="n">i</span><span class="p">,</span> <span class="n">n</span><span
class="o">+</span><span class="n">j</span><span class="p">]</span><span class="o">-</span><span class="n">mean</span><span
class="p">)</span></pre>
<pre class='cython code score-0 '> __pyx_t_21 = (__pyx_v_m + __pyx_v_i);
__pyx_t_22 = (__pyx_v_n + __pyx_v_j);
__pyx_t_23 = (__pyx_v_m + __pyx_v_i);
__pyx_t_24 = (__pyx_v_n + __pyx_v_j);
__pyx_v_stddev = (__pyx_v_stddev + (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_img.data + __pyx_t_21 * __pyx_v_img.strides[0]) ) + __pyx_t_22 * __pyx_v_img.strides[1]) ))) - __pyx_v_mean) * ((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_img.data + __pyx_t_23 * __pyx_v_img.strides[0]) ) + __pyx_t_24 * __pyx_v_img.strides[1]) ))) - __pyx_v_mean)));
}
}
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">51</span>: <span class="n">stddev</span> <span class="o">=</span> <span class="n">sqrt</span><span class="p">(</span><span class="n">stddev</span><span class="o">/</span><span class="n">num</span><span class="p">)</span></pre>
<pre class='cython code score-0 '> __pyx_v_stddev = sqrt((__pyx_v_stddev / __pyx_v_num));
</pre><pre class="cython line score-0">&#xA0;<span class="">52</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">53</span>: <span class="c"># compute normalized image (add epsilon) and std dev image</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">54</span>: <span class="n">img_lcn_view</span><span class="p">[</span><span class="n">m</span><span class="p">,</span> <span class="n">n</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">img</span><span class="p">[</span><span class="n">m</span><span class="p">,</span> <span class="n">n</span><span class="p">]</span><span class="o">-</span><span class="n">mean</span><span class="p">)</span><span class="o">/</span><span class="p">(</span><span class="n">stddev</span><span class="o">+</span><span class="n">eps</span><span class="p">)</span></pre>
<pre class='cython code score-0 '> __pyx_t_25 = __pyx_v_m;
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">51</span>: <span class="n">stddev</span> <span class="o">=</span> <span
class="n">sqrt</span><span class="p">(</span><span class="n">stddev</span><span class="o">/</span><span
class="n">num</span><span class="p">)</span></pre>
<pre class='cython code score-0 '> __pyx_v_stddev = sqrt((__pyx_v_stddev / __pyx_v_num));
</pre>
<pre class="cython line score-0">&#xA0;<span class="">52</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">53</span>: <span class="c"># compute normalized image (add epsilon) and std dev image</span></pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">54</span>: <span class="n">img_lcn_view</span><span class="p">[</span><span
class="n">m</span><span class="p">,</span> <span class="n">n</span><span class="p">]</span> <span class="o">=</span> <span
class="p">(</span><span class="n">img</span><span class="p">[</span><span class="n">m</span><span class="p">,</span> <span
class="n">n</span><span class="p">]</span><span class="o">-</span><span class="n">mean</span><span
class="p">)</span><span class="o">/</span><span class="p">(</span><span class="n">stddev</span><span
class="o">+</span><span class="n">eps</span><span class="p">)</span></pre>
<pre class='cython code score-0 '> __pyx_t_25 = __pyx_v_m;
__pyx_t_26 = __pyx_v_n;
__pyx_t_27 = __pyx_v_m;
__pyx_t_28 = __pyx_v_n;
*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_img_lcn_view.data + __pyx_t_27 * __pyx_v_img_lcn_view.strides[0]) ) + __pyx_t_28 * __pyx_v_img_lcn_view.strides[1]) )) = (((*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_img.data + __pyx_t_25 * __pyx_v_img.strides[0]) ) + __pyx_t_26 * __pyx_v_img.strides[1]) ))) - __pyx_v_mean) / (__pyx_v_stddev + __pyx_v_eps));
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">55</span>: <span class="n">img_std_view</span><span class="p">[</span><span class="n">m</span><span class="p">,</span> <span class="n">n</span><span class="p">]</span> <span class="o">=</span> <span class="n">stddev</span></pre>
<pre class='cython code score-0 '> __pyx_t_29 = __pyx_v_m;
</pre>
<pre class="cython line score-0"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">55</span>: <span class="n">img_std_view</span><span class="p">[</span><span
class="n">m</span><span class="p">,</span> <span class="n">n</span><span class="p">]</span> <span class="o">=</span> <span
class="n">stddev</span></pre>
<pre class='cython code score-0 '> __pyx_t_29 = __pyx_v_m;
__pyx_t_30 = __pyx_v_n;
*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_img_std_view.data + __pyx_t_29 * __pyx_v_img_std_view.strides[0]) ) + __pyx_t_30 * __pyx_v_img_std_view.strides[1]) )) = __pyx_v_stddev;
}
}
</pre><pre class="cython line score-0">&#xA0;<span class="">56</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">57</span>: <span class="c"># return both</span></pre>
<pre class="cython line score-10" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">58</span>: <span class="k">return</span> <span class="n">img_lcn</span><span class="p">,</span> <span class="n">img_std</span></pre>
<pre class='cython code score-10 '> <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);
</pre>
<pre class="cython line score-0">&#xA0;<span class="">56</span>: </pre>
<pre class="cython line score-0">&#xA0;<span class="">57</span>: <span class="c"># return both</span></pre>
<pre class="cython line score-10"
onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span
class="">58</span>: <span class="k">return</span> <span class="n">img_lcn</span><span class="p">,</span> <span
class="n">img_std</span></pre>
<pre class='cython code score-10 '> <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);
__pyx_t_1 = <span class='py_c_api'>PyTuple_New</span>(2);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 58, __pyx_L1_error)</span>
<span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);
<span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v_img_lcn);
@@ -717,4 +903,7 @@ static PyObject *__pyx_pf_3lcn_normalize(CYTHON_UNUSED PyObject *__pyx_self, __P
__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
</pre></div></body></html>
</pre>
</div>
</body>
</html>
data/lcn/setup.py
+1 -1
View File
@@ -2,5 +2,5 @@ from distutils.core import setup
from Cython.Build import cythonize
setup(
ext_modules = cythonize("lcn.pyx",annotate=True)
ext_modules=cythonize("lcn.pyx", annotate=True)
)
data/lcn/test_lcn.py
+13 -13
View File
@@ -5,43 +5,43 @@ from scipy import misc
# load and convert to float
img = misc.imread('img.png')
img = img.astype(np.float32)/255.0
img = img.astype(np.float32) / 255.0
# normalize
img_lcn, img_std = lcn.normalize(img,5,0.05)
img_lcn, img_std = lcn.normalize(img, 5, 0.05)
# normalize to reasonable range between 0 and 1
#img_lcn = img_lcn/3.0
#img_lcn = np.maximum(img_lcn,0.0)
#img_lcn = np.minimum(img_lcn,1.0)
# img_lcn = img_lcn/3.0
# img_lcn = np.maximum(img_lcn,0.0)
# img_lcn = np.minimum(img_lcn,1.0)
# save to file
#misc.imsave('lcn2.png',img_lcn)
# misc.imsave('lcn2.png',img_lcn)
print ("Orig Image: %d x %d (%s), Min: %f, Max: %f" % \
(img.shape[0], img.shape[1], img.dtype, img.min(), img.max()))
print ("Norm Image: %d x %d (%s), Min: %f, Max: %f" % \
(img_lcn.shape[0], img_lcn.shape[1], img_lcn.dtype, img_lcn.min(), img_lcn.max()))
print("Orig Image: %d x %d (%s), Min: %f, Max: %f" % \
(img.shape[0], img.shape[1], img.dtype, img.min(), img.max()))
print("Norm Image: %d x %d (%s), Min: %f, Max: %f" % \
(img_lcn.shape[0], img_lcn.shape[1], img_lcn.dtype, img_lcn.min(), img_lcn.max()))
# plot original image
plt.figure(1)
img_plot = plt.imshow(img)
img_plot.set_cmap('gray')
plt.clim(0, 1) # fix range
plt.clim(0, 1) # fix range
plt.tight_layout()
# plot normalized image
plt.figure(2)
img_lcn_plot = plt.imshow(img_lcn)
img_lcn_plot.set_cmap('gray')
#plt.clim(0, 1) # fix range
# plt.clim(0, 1) # fix range
plt.tight_layout()
# plot stddev image
plt.figure(3)
img_std_plot = plt.imshow(img_std)
img_std_plot.set_cmap('gray')
#plt.clim(0, 0.1) # fix range
# plt.clim(0, 0.1) # fix range
plt.tight_layout()
plt.show()