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Fixed weird spacing
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SaketKulkarni121 committed Jun 22, 2024
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10 changes: 9 additions & 1 deletion documentation/html/build/html/_sources/scripts/scripts.rst.txt
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ To run a script:
2. Activate the python virtual environment by typing
.. code:: bash
source venv/bin/activate
source venv/bin/activate
3. Run the script by typing
.. code:: bash
Expand Down Expand Up @@ -69,35 +69,43 @@ This is a list of all the scripts available in the PerceptionsLibrary22a directo
entire perceptions suite and display the results.

10. **run_svm.py**

This script runs the SVM predictor on the data in the data folder, and displays the results.
This is largely a test script, and is not used in the final product. SVM was a method of getting the
midline of the road. This was used in the final product, and was implemented in the complete predictor.

11. **sim_cones.py**

This script simulates the placement of cones in the data folder, and displays the results.
This is largely a test script, and is not used in the final product. This was used to test the
complete predictor.

12. **test_logreg_idea.py**

This script tests the idea of using logistic regression for merging the LiDAR and Stereo predictors.
This is largely a test script, and is not used in the final product. Merging is done in the complete predictor.

13. **test_setup.py**

This script tests the setup of the library. It makes sure the library is set up properly.

14. **test_vis2d.py**

This script tests the 2D visualization of the data in the data folder.
This is largely a test script, and is not used in the final product. This was a method of
creating a 2D visualization of the data. This was not used in the final product.

15. **test_vis3d.py**

This script tests the 3D visualization of the data in the data folder.
This is largely a test script, and is not used in the final product. This was used to test the
complete predictor.

16. **visualize_cones.py**

This script visualizes the cones in a 2d plot. This is largely a test script, and provided a
view of the cones from the perception stack during the complete predictor testing.

17. **load_data.py**

This script loads the data from the data folder.
54 changes: 31 additions & 23 deletions documentation/html/build/html/scripts/scripts.html
Original file line number Diff line number Diff line change
Expand Up @@ -118,7 +118,7 @@ <h3>To run a script:<a class="headerlink" href="#to-run-a-script" title="Permali
<section id="what-scripts-are-available">
<h2>What scripts are available?<a class="headerlink" href="#what-scripts-are-available" title="Permalink to this heading"></a></h2>
<p>This is a list of all the scripts available in the PerceptionsLibrary22a directory:</p>
<ol class="arabic simple">
<ol class="arabic">
<li><dl class="simple">
<dt><strong>load_ecg_data.py</strong></dt><dd><p>This script loads the data from the data folder, and runs our LiDAR and Stereo Predictors
on the data, then displays it to see.</p>
Expand Down Expand Up @@ -171,32 +171,40 @@ <h2>What scripts are available?<a class="headerlink" href="#what-scripts-are-ava
</dd>
</dl>
</li>
<li><p><strong>run_svm.py</strong>
This script runs the SVM predictor on the data in the data folder, and displays the results.
<li><p><strong>run_svm.py</strong></p>
<p>This script runs the SVM predictor on the data in the data folder, and displays the results.
This is largely a test script, and is not used in the final product. SVM was a method of getting the
midline of the road. This was used in the final product, and was implemented in the complete predictor.</p></li>
<li><p><strong>sim_cones.py</strong>
This script simulates the placement of cones in the data folder, and displays the results.
midline of the road. This was used in the final product, and was implemented in the complete predictor.</p>
</li>
<li><p><strong>sim_cones.py</strong></p>
<p>This script simulates the placement of cones in the data folder, and displays the results.
This is largely a test script, and is not used in the final product. This was used to test the
complete predictor.</p></li>
<li><p><strong>test_logreg_idea.py</strong>
This script tests the idea of using logistic regression for merging the LiDAR and Stereo predictors.
This is largely a test script, and is not used in the final product. Merging is done in the complete predictor.</p></li>
<li><p><strong>test_setup.py</strong>
This script tests the setup of the library. It makes sure the library is set up properly.</p></li>
<li><p><strong>test_vis2d.py</strong>
This script tests the 2D visualization of the data in the data folder.
complete predictor.</p>
</li>
<li><p><strong>test_logreg_idea.py</strong></p>
<p>This script tests the idea of using logistic regression for merging the LiDAR and Stereo predictors.
This is largely a test script, and is not used in the final product. Merging is done in the complete predictor.</p>
</li>
<li><p><strong>test_setup.py</strong></p>
<p>This script tests the setup of the library. It makes sure the library is set up properly.</p>
</li>
<li><p><strong>test_vis2d.py</strong></p>
<p>This script tests the 2D visualization of the data in the data folder.
This is largely a test script, and is not used in the final product. This was a method of
creating a 2D visualization of the data. This was not used in the final product.</p></li>
<li><p><strong>test_vis3d.py</strong>
This script tests the 3D visualization of the data in the data folder.
creating a 2D visualization of the data. This was not used in the final product.</p>
</li>
<li><p><strong>test_vis3d.py</strong></p>
<p>This script tests the 3D visualization of the data in the data folder.
This is largely a test script, and is not used in the final product. This was used to test the
complete predictor.</p></li>
<li><p><strong>visualize_cones.py</strong>
This script visualizes the cones in a 2d plot. This is largely a test script, and provided a
view of the cones from the perception stack during the complete predictor testing.</p></li>
<li><p><strong>load_data.py</strong>
This script loads the data from the data folder.</p></li>
complete predictor.</p>
</li>
<li><p><strong>visualize_cones.py</strong></p>
<p>This script visualizes the cones in a 2d plot. This is largely a test script, and provided a
view of the cones from the perception stack during the complete predictor testing.</p>
</li>
<li><p><strong>load_data.py</strong></p>
<p>This script loads the data from the data folder.</p>
</li>
</ol>
</section>
</section>
Expand Down
2 changes: 1 addition & 1 deletion documentation/html/build/html/searchindex.js

Large diffs are not rendered by default.

10 changes: 9 additions & 1 deletion documentation/html/source/scripts/scripts.rst
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ To run a script:
2. Activate the python virtual environment by typing
.. code:: bash
source venv/bin/activate
source venv/bin/activate
3. Run the script by typing
.. code:: bash
Expand Down Expand Up @@ -69,35 +69,43 @@ This is a list of all the scripts available in the PerceptionsLibrary22a directo
entire perceptions suite and display the results.

10. **run_svm.py**

This script runs the SVM predictor on the data in the data folder, and displays the results.
This is largely a test script, and is not used in the final product. SVM was a method of getting the
midline of the road. This was used in the final product, and was implemented in the complete predictor.

11. **sim_cones.py**

This script simulates the placement of cones in the data folder, and displays the results.
This is largely a test script, and is not used in the final product. This was used to test the
complete predictor.

12. **test_logreg_idea.py**

This script tests the idea of using logistic regression for merging the LiDAR and Stereo predictors.
This is largely a test script, and is not used in the final product. Merging is done in the complete predictor.

13. **test_setup.py**

This script tests the setup of the library. It makes sure the library is set up properly.

14. **test_vis2d.py**

This script tests the 2D visualization of the data in the data folder.
This is largely a test script, and is not used in the final product. This was a method of
creating a 2D visualization of the data. This was not used in the final product.

15. **test_vis3d.py**

This script tests the 3D visualization of the data in the data folder.
This is largely a test script, and is not used in the final product. This was used to test the
complete predictor.

16. **visualize_cones.py**

This script visualizes the cones in a 2d plot. This is largely a test script, and provided a
view of the cones from the perception stack during the complete predictor testing.

17. **load_data.py**

This script loads the data from the data folder.

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