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Modify torchvision_tutorial doc for windows #1060

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5 changes: 5 additions & 0 deletions intermediate_source/torchvision_tutorial.rst
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Expand Up @@ -56,6 +56,11 @@ If your model returns the above methods, they will make it work for both
training and evaluation, and will use the evaluation scripts from
``pycocotools``.

.. note ::
For Windows, please install ``pycocotools`` from `gautamchitnis <https://github.com/gautamchitnis/cocoapi>`__ with command

``pip install git+https://github.com/gautamchitnis/cocoapi.git@cocodataset-master#subdirectory=PythonAPI``

One note on the ``labels``. The model considers class ``0`` as background. If your dataset does not contain the background class, you should not have ``0`` in your ``labels``. For example, assuming you have just two classes, *cat* and *dog*, you can define ``1`` (not ``0``) to represent *cats* and ``2`` to represent *dogs*. So, for instance, if one of the images has booth classes, your ``labels`` tensor should look like ``[1,2]``.

Additionally, if you want to use aspect ratio grouping during training
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