:index:`MP3`: Adaboost face detector
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In this MP, you will train and test a face detector using Adaboost.

* mp3.zip will contain the code.  You should download the code,
  unzip it into some directory, and then type ``jupyter-lab`` to get started.
* mp3_notebook.html will be an example of what the Jupyter notebook will
  look like, once you've finished everything.
  
* ``python grade.py`` is how you will grade your code on your local machine.  The
  solutions are available to you in ``solutions.hdf5``.
  
* When it works on your machine, then you can try uploading **only**
  the file ``submitted.py`` to the MP3 assignment on Gradescope.
  
Extra Credit
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* mp3_extra.zip will be the extra credit assignment.
  This adds one more file for you to work on (``extra.py``), and one more
  visible test file (``tests/test_extra.py``) with its accompanying
  solutions file (``extra_solutions.hdf5``).
* When you've finished revising ``extra.py``, you can test it on your
  machine by running ``python grade.py``.
* When it works on your machine, upload **only** the file ``extra.py``
  to the ``MP3 Extra`` assignment on Gradescope.