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<p><span style="border-bottom: solid 1px grey;">Generated by Cython 3.0.7</span></p>
<p>
<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="sobel_cycode.c">sobel_cycode.c</a></p>
<div class="cython"><pre class="cython line score-8" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">01</span>: <span class="c"># 1. Imporping the required libraries</span></pre>
<pre class='cython code score-8 '> __pyx_t_7 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1, __pyx_L1_error)</span>
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</pre><pre class="cython line score-8" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">02</span>: <span class="k">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span></pre>
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</pre><pre class="cython line score-0"> <span class="">03</span>: <span class="k">cimport</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span></pre>
<pre class="cython line score-0"> <span class="">04</span>: <span class="k">cimport</span> <span class="nn">cython</span></pre>
<pre class="cython line score-0"> <span class="">05</span>: <span class="k">from</span> <span class="nn">libc.math</span> <span class="k">cimport</span> <span class="n">sqrt</span></pre>
<pre class="cython line score-0"> <span class="">06</span>: </pre>
<pre class="cython line score-0"> <span class="">07</span>: <span class="c"># 2. Define a typed memory view for 2D double arrays</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">08</span>: <span class="k">ctypedef</span> <span class="n">double</span><span class="p">[:,</span> <span class="p">:]</span> <span class="n">double2D</span></pre>
<pre class='cython code score-0 '>typedef __Pyx_memviewslice __pyx_t_12sobel_cycode_double2D;
</pre><pre class="cython line score-0"> <span class="">09</span>: </pre>
<pre class="cython line score-0"> <span class="">10</span>: <span class="c">##==============================================================================</span></pre>
<pre class="cython line score-0"> <span class="">11</span>: <span class="c"># 3. Define Sobel filter function in Cython</span></pre>
<pre class="cython line score-12" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">12</span>: <span class="k">cdef</span> <span class="kt">double2D</span> <span class="nf">sobel_filter_cy</span><span class="p">(</span><span class="n">double2D</span> <span class="n">image</span><span class="p">):</span></pre>
<pre class='cython code score-12 '>static __pyx_t_12sobel_cycode_double2D __pyx_f_12sobel_cycode_sobel_filter_cy(__pyx_t_12sobel_cycode_double2D __pyx_v_image) {
int __pyx_v_rows;
int __pyx_v_cols;
__pyx_t_12sobel_cycode_double2D __pyx_v_edge_map = { 0, 0, { 0 }, { 0 }, { 0 } };
int __pyx_v_i;
int __pyx_v_j;
int __pyx_v_dx;
int __pyx_v_dy;
double __pyx_v_sx;
double __pyx_v_sy;
double __pyx_v_Gx[3][3];
double __pyx_v_Gy[3][3];
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</pre><pre class="cython line score-0"> <span class="">13</span>: <span class="k">cdef</span><span class="p">:</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">14</span>: <span class="nb">int</span> <span class="n">rows</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mf">0</span><span class="p">]</span> <span class="c"># Number of rows in the image</span></pre>
<pre class='cython code score-0 '> __pyx_v_rows = (__pyx_v_image.shape[0]);
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">15</span>: <span class="nb">int</span> <span class="n">cols</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mf">1</span><span class="p">]</span> <span class="c"># Number of columns in the image</span></pre>
<pre class='cython code score-0 '> __pyx_v_cols = (__pyx_v_image.shape[1]);
</pre><pre class="cython line score-46" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">16</span>: <span class="n">double2D</span> <span class="n">edge_map</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">rows</span><span class="p">,</span> <span class="n">cols</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">float64</span><span class="p">)</span> <span class="c"># Initialize an array to store edge map</span></pre>
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</pre><pre class="cython line score-0"> <span class="">17</span>: <span class="nb">int</span> <span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">,</span> <span class="n">dx</span><span class="p">,</span> <span class="n">dy</span> <span class="c"># Loop variables</span></pre>
<pre class="cython line score-0"> <span class="">18</span>: <span class="n">double</span> <span class="n">sx</span><span class="p">,</span> <span class="n">sy</span> <span class="c"># Variables to store horizontal and vertical gradients</span></pre>
<pre class="cython line score-0"> <span class="">19</span>: <span class="c"># Define Gx and Gy arrays as 3x3 matrices</span></pre>
<pre class="cython line score-0"> <span class="">20</span>: <span class="n">double</span> <span class="n">Gx</span><span class="p">[</span><span class="mf">3</span><span class="p">][</span><span class="mf">3</span><span class="p">]</span></pre>
<pre class="cython line score-0"> <span class="">21</span>: <span class="n">double</span> <span class="n">Gy</span><span class="p">[</span><span class="mf">3</span><span class="p">][</span><span class="mf">3</span><span class="p">]</span></pre>
<pre class="cython line score-0"> <span class="">22</span>: </pre>
<pre class="cython line score-0"> <span class="">23</span>: <span class="c"># Initialize Sobel filter kernels Gx and Gy</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">24</span>: <span class="n">Gx</span><span class="p">[</span><span class="mf">0</span><span class="p">][</span><span class="mf">0</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mf">1</span><span class="p">;</span> <span class="n">Gx</span><span class="p">[</span><span class="mf">0</span><span class="p">][</span><span class="mf">1</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0</span><span class="p">;</span> <span class="n">Gx</span><span class="p">[</span><span class="mf">0</span><span class="p">][</span><span class="mf">2</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1</span></pre>
<pre class='cython code score-0 '> ((__pyx_v_Gx[0])[0]) = -1.0;
((__pyx_v_Gx[0])[1]) = 0.0;
((__pyx_v_Gx[0])[2]) = 1.0;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">25</span>: <span class="n">Gx</span><span class="p">[</span><span class="mf">1</span><span class="p">][</span><span class="mf">0</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mf">2</span><span class="p">;</span> <span class="n">Gx</span><span class="p">[</span><span class="mf">1</span><span class="p">][</span><span class="mf">1</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0</span><span class="p">;</span> <span class="n">Gx</span><span class="p">[</span><span class="mf">1</span><span class="p">][</span><span class="mf">2</span><span class="p">]</span> <span class="o">=</span> <span class="mf">2</span></pre>
<pre class='cython code score-0 '> ((__pyx_v_Gx[1])[0]) = -2.0;
((__pyx_v_Gx[1])[1]) = 0.0;
((__pyx_v_Gx[1])[2]) = 2.0;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">26</span>: <span class="n">Gx</span><span class="p">[</span><span class="mf">2</span><span class="p">][</span><span class="mf">0</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mf">1</span><span class="p">;</span> <span class="n">Gx</span><span class="p">[</span><span class="mf">2</span><span class="p">][</span><span class="mf">1</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0</span><span class="p">;</span> <span class="n">Gx</span><span class="p">[</span><span class="mf">2</span><span class="p">][</span><span class="mf">2</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1</span></pre>
<pre class='cython code score-0 '> ((__pyx_v_Gx[2])[0]) = -1.0;
((__pyx_v_Gx[2])[1]) = 0.0;
((__pyx_v_Gx[2])[2]) = 1.0;
</pre><pre class="cython line score-0"> <span class="">27</span>: </pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">28</span>: <span class="n">Gy</span><span class="p">[</span><span class="mf">0</span><span class="p">][</span><span class="mf">0</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mf">1</span><span class="p">;</span> <span class="n">Gy</span><span class="p">[</span><span class="mf">0</span><span class="p">][</span><span class="mf">1</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mf">2</span><span class="p">;</span> <span class="n">Gy</span><span class="p">[</span><span class="mf">0</span><span class="p">][</span><span class="mf">2</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mf">1</span></pre>
<pre class='cython code score-0 '> ((__pyx_v_Gy[0])[0]) = -1.0;
((__pyx_v_Gy[0])[1]) = -2.0;
((__pyx_v_Gy[0])[2]) = -1.0;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">29</span>: <span class="n">Gy</span><span class="p">[</span><span class="mf">1</span><span class="p">][</span><span class="mf">0</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0</span><span class="p">;</span> <span class="n">Gy</span><span class="p">[</span><span class="mf">1</span><span class="p">][</span><span class="mf">1</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0</span><span class="p">;</span> <span class="n">Gy</span><span class="p">[</span><span class="mf">1</span><span class="p">][</span><span class="mf">2</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0</span></pre>
<pre class='cython code score-0 '> ((__pyx_v_Gy[1])[0]) = 0.0;
((__pyx_v_Gy[1])[1]) = 0.0;
((__pyx_v_Gy[1])[2]) = 0.0;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">30</span>: <span class="n">Gy</span><span class="p">[</span><span class="mf">2</span><span class="p">][</span><span class="mf">0</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1</span><span class="p">;</span> <span class="n">Gy</span><span class="p">[</span><span class="mf">2</span><span class="p">][</span><span class="mf">1</span><span class="p">]</span> <span class="o">=</span> <span class="mf">2</span><span class="p">;</span> <span class="n">Gy</span><span class="p">[</span><span class="mf">2</span><span class="p">][</span><span class="mf">2</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1</span></pre>
<pre class='cython code score-0 '> ((__pyx_v_Gy[2])[0]) = 1.0;
((__pyx_v_Gy[2])[1]) = 2.0;
((__pyx_v_Gy[2])[2]) = 1.0;
</pre><pre class="cython line score-0"> <span class="">31</span>: </pre>
<pre class="cython line score-0"> <span class="">32</span>: <span class="c"># Apply Sobel filter to compute edge map</span></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">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mf">1</span><span class="p">,</span> <span class="n">rows</span> <span class="o">-</span> <span class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_7 = (__pyx_v_rows - 1);
__pyx_t_8 = __pyx_t_7;
for (__pyx_t_9 = 1; __pyx_t_9 < __pyx_t_8; __pyx_t_9+=1) {
__pyx_v_i = __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="">34</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="mf">1</span><span class="p">,</span> <span class="n">cols</span> <span class="o">-</span> <span class="mf">1</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_10 = (__pyx_v_cols - 1);
__pyx_t_11 = __pyx_t_10;
for (__pyx_t_12 = 1; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) {
__pyx_v_j = __pyx_t_12;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">35</span>: <span class="n">sx</span> <span class="o">=</span> <span class="mf">0</span></pre>
<pre class='cython code score-0 '> __pyx_v_sx = 0.0;
</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="n">sy</span> <span class="o">=</span> <span class="mf">0</span></pre>
<pre class='cython code score-0 '> __pyx_v_sy = 0.0;
</pre><pre class="cython line score-0"> <span class="">37</span>: <span class="c"># Convolve image with Sobel filter kernels</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">38</span>: <span class="k">for</span> <span class="n">dx</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="mf">1</span><span class="p">,</span> <span class="mf">2</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> for (__pyx_t_13 = -1; __pyx_t_13 < 2; __pyx_t_13+=1) {
__pyx_v_dx = __pyx_t_13;
</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">39</span>: <span class="k">for</span> <span class="n">dy</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="mf">1</span><span class="p">,</span> <span class="mf">2</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> for (__pyx_t_14 = -1; __pyx_t_14 < 2; __pyx_t_14+=1) {
__pyx_v_dy = __pyx_t_14;
</pre><pre class="cython line score-2" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">40</span>: <span class="n">sx</span> <span class="o">+=</span> <span class="n">Gx</span><span class="p">[</span><span class="n">dx</span> <span class="o">+</span> <span class="mf">1</span><span class="p">][</span><span class="n">dy</span> <span class="o">+</span> <span class="mf">1</span><span class="p">]</span> <span class="o">*</span> <span class="n">image</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="n">dx</span><span class="p">,</span> <span class="n">j</span> <span class="o">+</span> <span class="n">dy</span><span class="p">]</span></pre>
<pre class='cython code score-2 '> __pyx_t_15 = (__pyx_v_i + __pyx_v_dx);
__pyx_t_16 = (__pyx_v_j + __pyx_v_dy);
__pyx_t_17 = -1;
if (__pyx_t_15 < 0) {
__pyx_t_15 += __pyx_v_image.shape[0];
if (unlikely(__pyx_t_15 < 0)) __pyx_t_17 = 0;
} else if (unlikely(__pyx_t_15 >= __pyx_v_image.shape[0])) __pyx_t_17 = 0;
if (__pyx_t_16 < 0) {
__pyx_t_16 += __pyx_v_image.shape[1];
if (unlikely(__pyx_t_16 < 0)) __pyx_t_17 = 1;
} else if (unlikely(__pyx_t_16 >= __pyx_v_image.shape[1])) __pyx_t_17 = 1;
if (unlikely(__pyx_t_17 != -1)) {
<span class='pyx_c_api'>__Pyx_RaiseBufferIndexError</span>(__pyx_t_17);
<span class='error_goto'>__PYX_ERR(0, 40, __pyx_L1_error)</span>
}
__pyx_v_sx = (__pyx_v_sx + (((__pyx_v_Gx[(__pyx_v_dx + 1)])[(__pyx_v_dy + 1)]) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_image.data + __pyx_t_15 * __pyx_v_image.strides[0]) ) + __pyx_t_16 * __pyx_v_image.strides[1]) )))));
</pre><pre class="cython line score-2" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">41</span>: <span class="n">sy</span> <span class="o">+=</span> <span class="n">Gy</span><span class="p">[</span><span class="n">dx</span> <span class="o">+</span> <span class="mf">1</span><span class="p">][</span><span class="n">dy</span> <span class="o">+</span> <span class="mf">1</span><span class="p">]</span> <span class="o">*</span> <span class="n">image</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="n">dx</span><span class="p">,</span> <span class="n">j</span> <span class="o">+</span> <span class="n">dy</span><span class="p">]</span></pre>
<pre class='cython code score-2 '> __pyx_t_16 = (__pyx_v_i + __pyx_v_dx);
__pyx_t_15 = (__pyx_v_j + __pyx_v_dy);
__pyx_t_17 = -1;
if (__pyx_t_16 < 0) {
__pyx_t_16 += __pyx_v_image.shape[0];
if (unlikely(__pyx_t_16 < 0)) __pyx_t_17 = 0;
} else if (unlikely(__pyx_t_16 >= __pyx_v_image.shape[0])) __pyx_t_17 = 0;
if (__pyx_t_15 < 0) {
__pyx_t_15 += __pyx_v_image.shape[1];
if (unlikely(__pyx_t_15 < 0)) __pyx_t_17 = 1;
} else if (unlikely(__pyx_t_15 >= __pyx_v_image.shape[1])) __pyx_t_17 = 1;
if (unlikely(__pyx_t_17 != -1)) {
<span class='pyx_c_api'>__Pyx_RaiseBufferIndexError</span>(__pyx_t_17);
<span class='error_goto'>__PYX_ERR(0, 41, __pyx_L1_error)</span>
}
__pyx_v_sy = (__pyx_v_sy + (((__pyx_v_Gy[(__pyx_v_dx + 1)])[(__pyx_v_dy + 1)]) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_image.data + __pyx_t_16 * __pyx_v_image.strides[0]) ) + __pyx_t_15 * __pyx_v_image.strides[1]) )))));
}
}
</pre><pre class="cython line score-0"> <span class="">42</span>: <span class="c"># Compute gradient magnitude using Euclidean distance formula</span></pre>
<pre class="cython line score-2" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">43</span>: <span class="n">edge_map</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="n">sqrt</span><span class="p">(</span><span class="n">sx</span><span class="o">**</span><span class="mf">2</span> <span class="o">+</span> <span class="n">sy</span><span class="o">**</span><span class="mf">2</span><span class="p">)</span></pre>
<pre class='cython code score-2 '> __pyx_t_15 = __pyx_v_i;
__pyx_t_16 = __pyx_v_j;
__pyx_t_13 = -1;
if (__pyx_t_15 < 0) {
__pyx_t_15 += __pyx_v_edge_map.shape[0];
if (unlikely(__pyx_t_15 < 0)) __pyx_t_13 = 0;
} else if (unlikely(__pyx_t_15 >= __pyx_v_edge_map.shape[0])) __pyx_t_13 = 0;
if (__pyx_t_16 < 0) {
__pyx_t_16 += __pyx_v_edge_map.shape[1];
if (unlikely(__pyx_t_16 < 0)) __pyx_t_13 = 1;
} else if (unlikely(__pyx_t_16 >= __pyx_v_edge_map.shape[1])) __pyx_t_13 = 1;
if (unlikely(__pyx_t_13 != -1)) {
<span class='pyx_c_api'>__Pyx_RaiseBufferIndexError</span>(__pyx_t_13);
<span class='error_goto'>__PYX_ERR(0, 43, __pyx_L1_error)</span>
}
*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_edge_map.data + __pyx_t_15 * __pyx_v_edge_map.strides[0]) ) + __pyx_t_16 * __pyx_v_edge_map.strides[1]) )) = sqrt((pow(__pyx_v_sx, 2.0) + pow(__pyx_v_sy, 2.0)));
}
}
</pre><pre class="cython line score-0"> <span class="">44</span>: </pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">45</span>: <span class="k">return</span> <span class="n">edge_map</span></pre>
<pre class='cython code score-0 '> __PYX_INC_MEMVIEW(&__pyx_v_edge_map, 1);
__pyx_r = __pyx_v_edge_map;
goto __pyx_L0;
</pre><pre class="cython line score-0"> <span class="">46</span>: </pre>
<pre class="cython line score-0"> <span class="">47</span>: <span class="c">##==============================================================================</span></pre>
<pre class="cython line score-0"> <span class="">48</span>: <span class="c"># 4. Define thresholding function in Cython</span></pre>
<pre class="cython line score-0"> <span class="">49</span>: <span class="c"># Cython decorator for array access optimizations</span></pre>
<pre class="cython line score-0"> <span class="">50</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> <span class="c"># Disable bounds checking for array access</span></pre>
<pre class="cython line score-0"> <span class="">51</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> <span class="c"># Disable negative index wrapping for array access</span></pre>
<pre class="cython line score-88" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">52</span>: <span class="k">cpdef</span> <span class="kt">np</span>.<span class="kt">ndarray</span> <span class="nf">apply_threshold_cy</span><span class="p">(</span><span class="n">double2D</span> <span class="n">edge_map</span><span class="p">,</span> <span class="nb">int</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">150</span><span class="p">):</span></pre>
<pre class='cython code score-88 '>static PyObject *__pyx_pw_12sobel_cycode_1apply_threshold_cy(PyObject *__pyx_self,
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
#else
PyObject *__pyx_args, PyObject *__pyx_kwds
#endif
); /*proto*/
static PyArrayObject *__pyx_f_12sobel_cycode_apply_threshold_cy(__pyx_t_12sobel_cycode_double2D __pyx_v_edge_map, CYTHON_UNUSED int __pyx_skip_dispatch, struct __pyx_opt_args_12sobel_cycode_apply_threshold_cy *__pyx_optional_args) {
int __pyx_v_threshold = ((int)0x96);
int __pyx_v_rows;
int __pyx_v_cols;
__Pyx_memviewslice __pyx_v_thresholded = { 0, 0, { 0 }, { 0 }, { 0 } };
int __pyx_v_i;
int __pyx_v_j;
PyArrayObject *__pyx_r = NULL;
if (__pyx_optional_args) {
if (__pyx_optional_args->__pyx_n > 0) {
__pyx_v_threshold = __pyx_optional_args->threshold;
}
}
/* … */
/* function exit code */
__pyx_L1_error:;
<span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_1);
<span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_2);
<span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_3);
<span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_4);
<span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_5);
__PYX_XCLEAR_MEMVIEW(&__pyx_t_6, 1);
<span class='pyx_c_api'>__Pyx_AddTraceback</span>("sobel_cycode.apply_threshold_cy", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__PYX_XCLEAR_MEMVIEW(&__pyx_v_thresholded, 1);
<span class='refnanny'>__Pyx_XGIVEREF</span>((PyObject *)__pyx_r);
<span class='refnanny'>__Pyx_RefNannyFinishContext</span>();
return __pyx_r;
}
/* Python wrapper */
static PyObject *__pyx_pw_12sobel_cycode_1apply_threshold_cy(PyObject *__pyx_self,
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
#else
PyObject *__pyx_args, PyObject *__pyx_kwds
#endif
); /*proto*/
static PyMethodDef __pyx_mdef_12sobel_cycode_1apply_threshold_cy = {"apply_threshold_cy", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_12sobel_cycode_1apply_threshold_cy, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_12sobel_cycode_1apply_threshold_cy(PyObject *__pyx_self,
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
#else
PyObject *__pyx_args, PyObject *__pyx_kwds
#endif
) {
__pyx_t_12sobel_cycode_double2D __pyx_v_edge_map = { 0, 0, { 0 }, { 0 }, { 0 } };
int __pyx_v_threshold;
#if !CYTHON_METH_FASTCALL
CYTHON_UNUSED Py_ssize_t __pyx_nargs;
#endif
CYTHON_UNUSED PyObject *const *__pyx_kwvalues;
PyObject *__pyx_r = 0;
<span class='refnanny'>__Pyx_RefNannyDeclarations</span>
<span class='refnanny'>__Pyx_RefNannySetupContext</span>("apply_threshold_cy (wrapper)", 0);
#if !CYTHON_METH_FASTCALL
#if CYTHON_ASSUME_SAFE_MACROS
__pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);
#else
__pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs < 0)) return NULL;
#endif
#endif
__pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs);
{
PyObject **__pyx_pyargnames[] = {&__pyx_n_s_edge_map,&__pyx_n_s_threshold,0};
PyObject* values[2] = {0,0};
if (__pyx_kwds) {
Py_ssize_t kw_args;
switch (__pyx_nargs) {
case 2: values[1] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 1);
CYTHON_FALLTHROUGH;
case 1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);
CYTHON_FALLTHROUGH;
case 0: break;
default: goto __pyx_L5_argtuple_error;
}
kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_FASTCALL</span>(__pyx_kwds);
switch (__pyx_nargs) {
case 0:
if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_edge_map)) != 0)) {
(void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[0]);
kw_args--;
}
else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 52, __pyx_L3_error)</span>
else goto __pyx_L5_argtuple_error;
CYTHON_FALLTHROUGH;
case 1:
if (kw_args > 0) {
PyObject* value = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_threshold);
if (value) { values[1] = <span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(value); kw_args--; }
else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 52, __pyx_L3_error)</span>
}
}
if (unlikely(kw_args > 0)) {
const Py_ssize_t kwd_pos_args = __pyx_nargs;
if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, "apply_threshold_cy") < 0)) <span class='error_goto'>__PYX_ERR(0, 52, __pyx_L3_error)</span>
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</pre><pre class="cython line score-0"> <span class="">53</span>: <span class="k">cdef</span><span class="p">:</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="nb">int</span> <span class="n">rows</span> <span class="o">=</span> <span class="n">edge_map</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mf">0</span><span class="p">]</span> <span class="c"># Number of rows in the edge map</span></pre>
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</pre><pre class="cython line score-0"> <span class="">57</span>: <span class="nb">int</span> <span class="n">i</span><span class="p">,</span> <span class="n">j</span> <span class="c"># Loop variables</span></pre>
<pre class="cython line score-0"> <span class="">58</span>: </pre>
<pre class="cython line score-0"> <span class="">59</span>: <span class="c"># Apply thresholding to the edge map</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">60</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="n">rows</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_7 = __pyx_v_rows;
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</pre><pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">61</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="n">cols</span><span class="p">):</span></pre>
<pre class='cython code score-0 '> __pyx_t_10 = __pyx_v_cols;
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</pre><pre class="cython line score-0"> <span class="">62</span>: <span class="c"># Set pixel to 255 (white) if gradient magnitude is above threshold, else 0 (black)</span></pre>
<pre class="cython line score-0" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">63</span>: <span class="n">thresholded</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="mf">255</span> <span class="k">if</span> <span class="n">edge_map</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">></span> <span class="n">threshold</span> <span class="k">else</span> <span class="mf">0</span></pre>
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</pre><pre class="cython line score-0"> <span class="">64</span>: </pre>
<pre class="cython line score-23" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">65</span>: <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">thresholded</span><span class="p">)</span> <span class="c"># Convert thresholded image to NumPy array</span></pre>
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</pre><pre class="cython line score-0"> <span class="">66</span>: </pre>
<pre class="cython line score-0"> <span class="">67</span>: <span class="c">##==============================================================================</span></pre>
<pre class="cython line score-0"> <span class="">68</span>: <span class="c"># 5. Define Sobel edge detection function in Cython</span></pre>
<pre class="cython line score-0"> <span class="">69</span>: <span class="c"># Cython decorator for array access optimizations</span></pre>
<pre class="cython line score-0"> <span class="">70</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> <span class="c"># Disable bounds checking for array access</span></pre>
<pre class="cython line score-0"> <span class="">71</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> <span class="c"># Disable negative index wrapping for array access</span></pre>
<pre class="cython line score-56" onclick="(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)">+<span class="">72</span>: <span class="k">cpdef</span> <span class="kt">np</span>.<span class="kt">ndarray</span> <span class="nf">sobel_edge_detection_cy</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span> <span class="n">image</span><span class="p">):</span></pre>
<pre class='cython code score-56 '>static PyObject *__pyx_pw_12sobel_cycode_3sobel_edge_detection_cy(PyObject *__pyx_self,
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
#else
PyObject *__pyx_args, PyObject *__pyx_kwds
#endif
); /*proto*/
static PyArrayObject *__pyx_f_12sobel_cycode_sobel_edge_detection_cy(PyArrayObject *__pyx_v_image, CYTHON_UNUSED int __pyx_skip_dispatch) {
__pyx_t_12sobel_cycode_double2D __pyx_v_img_view = { 0, 0, { 0 }, { 0 }, { 0 } };
__pyx_t_12sobel_cycode_double2D __pyx_v_edges = { 0, 0, { 0 }, { 0 }, { 0 } };
PyArrayObject *__pyx_v_thresholded_edges = 0;
PyArrayObject *__pyx_r = NULL;
/* … */
/* function exit code */
__pyx_L1_error:;
__PYX_XCLEAR_MEMVIEW(&__pyx_t_1, 1);
<span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_2);
<span class='pyx_c_api'>__Pyx_AddTraceback</span>("sobel_cycode.sobel_edge_detection_cy", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__PYX_XCLEAR_MEMVIEW(&__pyx_v_img_view, 1);
__PYX_XCLEAR_MEMVIEW(&__pyx_v_edges, 1);
<span class='pyx_macro_api'>__Pyx_XDECREF</span>((PyObject *)__pyx_v_thresholded_edges);
<span class='refnanny'>__Pyx_XGIVEREF</span>((PyObject *)__pyx_r);
<span class='refnanny'>__Pyx_RefNannyFinishContext</span>();
return __pyx_r;
}
/* Python wrapper */
static PyObject *__pyx_pw_12sobel_cycode_3sobel_edge_detection_cy(PyObject *__pyx_self,
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
#else
PyObject *__pyx_args, PyObject *__pyx_kwds
#endif
); /*proto*/
static PyMethodDef __pyx_mdef_12sobel_cycode_3sobel_edge_detection_cy = {"sobel_edge_detection_cy", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_12sobel_cycode_3sobel_edge_detection_cy, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_12sobel_cycode_3sobel_edge_detection_cy(PyObject *__pyx_self,
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
#else
PyObject *__pyx_args, PyObject *__pyx_kwds
#endif
) {
PyArrayObject *__pyx_v_image = 0;
#if !CYTHON_METH_FASTCALL
CYTHON_UNUSED Py_ssize_t __pyx_nargs;
#endif
CYTHON_UNUSED PyObject *const *__pyx_kwvalues;
PyObject *__pyx_r = 0;
<span class='refnanny'>__Pyx_RefNannyDeclarations</span>
<span class='refnanny'>__Pyx_RefNannySetupContext</span>("sobel_edge_detection_cy (wrapper)", 0);
#if !CYTHON_METH_FASTCALL
#if CYTHON_ASSUME_SAFE_MACROS
__pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);
#else
__pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs < 0)) return NULL;
#endif
#endif
__pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs);
{
PyObject **__pyx_pyargnames[] = {&__pyx_n_s_image,0};
PyObject* values[1] = {0};
if (__pyx_kwds) {
Py_ssize_t kw_args;
switch (__pyx_nargs) {
case 1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);
CYTHON_FALLTHROUGH;
case 0: break;
default: goto __pyx_L5_argtuple_error;
}
kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_FASTCALL</span>(__pyx_kwds);
switch (__pyx_nargs) {
case 0:
if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_image)) != 0)) {
(void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[0]);
kw_args--;
}
else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 72, __pyx_L3_error)</span>
else goto __pyx_L5_argtuple_error;
}
if (unlikely(kw_args > 0)) {
const Py_ssize_t kwd_pos_args = __pyx_nargs;
if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, "sobel_edge_detection_cy") < 0)) <span class='error_goto'>__PYX_ERR(0, 72, __pyx_L3_error)</span>
}
} else if (unlikely(__pyx_nargs != 1)) {
goto __pyx_L5_argtuple_error;
} else {
values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);