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If you are on Windows and using version 3.5 or later, the wildcard will not work and you have to run this in the command prompt:
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.. code-block:: python
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# From TensorFlow/models/research/
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for/f %i in ('dir /b object_detection\protos\*.proto') do protoc object_detection\protos\%i --python_out=.
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.. [#] NOTE: You MUST open a new `Anaconda/Command Prompt` for the changes in the environment variables to take effect.
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.. _test_tf_models:
@@ -398,7 +406,7 @@ To deal with the fact that ``labelImg`` (on Windows) requires the use of ``pyqt4
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activate labelImg
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Once you have activated your virtual environment, the name of the environment should be displayed within brackets at the beggining of your cmd path specifier, e.g.:
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Once you have activated your virtual environment, the name of the environment should be displayed within brackets at the beginning of your cmd path specifier, e.g.:
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.. code-block:: ps1con
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@@ -407,7 +415,7 @@ Once you have activated your virtual environment, the name of the environment sh
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Downloading labelImg
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~~~~~~~~~~~~~~~~~~~~
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- Inside you ``TesnorFlow`` folder, create a new directory, name it ``addons`` and then ``cd`` into it.
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- Inside you ``TensorFlow`` folder, create a new directory, name it ``addons`` and then ``cd`` into it.
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- To download the package you can either use `Git <https://git-scm.com/downloads>`_ to clone the `labelImg repo <https://github.com/tzutalin/labelImg>`_ inside the ``TensorFlow\addons`` folder, or you can simply download it as a `ZIP <https://github.com/tzutalin/labelImg/archive/master.zip>`_ and extract it's contents inside the ``TensorFlow\addons`` folder. To keep things consistent, in the latter case you will have to rename the extracted folder ``labelImg-master`` to ``labelImg``. [#]_
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- You should now have a single folder named ``addons\labelImg`` under your ``TensorFlow`` folder, which contains another 4 folders as such:
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