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@@ -120,6 +120,7 @@ Install the other necessary packages by issuing the following commands:
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(tensorflow1) C:\> pip install pillow
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(tensorflow1) C:\> pip install lxml
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(tensorflow1) C:\> pip install Cython
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(tensorflow1) C:\> pip install contextlib2
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(tensorflow1) C:\> pip install jupyter
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(tensorflow1) C:\> pip install matplotlib
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(tensorflow1) C:\> pip install pandas
@@ -132,14 +133,19 @@ A PYTHONPATH variable must be created that points to the \models, \models\resear
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```
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(tensorflow1) C:\> set PYTHONPATH=C:\tensorflow1\models;C:\tensorflow1\models\research;C:\tensorflow1\models\research\slim
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```
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(Note: Every time the "tensorflow1" virtual environment is exited, the PYTHONPATH variable is reset and needs to be set up again.)
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(Note: Every time the "tensorflow1" virtual environment is exited, the PYTHONPATH variable is reset and needs to be set up again. You can use "echo %PYTHONPATH% to see if it has been set or not.)
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#### 2f. Compile Protobufs and run setup.py
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Next, compile the Protobuf files, which are used by TensorFlow to configure model and training parameters. Unfortunately, the short protoc compilation command posted on TensorFlow’s Object Detection API [installation page](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md) does not work on Windows. Every .proto file in the \object_detection\protos directory must be called out individually by the command.
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In the Anaconda Command Prompt, change directories to the \models\research directory and copy and paste the following command into the command line and press Enter:
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In the Anaconda Command Prompt, change directories to the \models\research directory:
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