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iCub-DeepLabSegmentation

A Yarp module for istantiating the Deeplab V3+ on the humanoid robot iCub

Installation

Dependencies

DeepLab depends on the following libraries:

For detailed steps to install Tensorflow, follow the Tensorflow installation instructions. A typical user can install Tensorflow using one of the following commands:


## Add Libraries to PYTHONPATH

When running locally, the tensorflow/models/research/ and slim directories
should be appended to PYTHONPATH. This can be done by running the following from
tensorflow/models/research/:

```bash
# From tensorflow/models/research/
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim

Note: This command needs to run from every new terminal you start. If you wish to avoid running this manually, you can add it as a new line to the end of your ~/.bashrc file.

Testing the Installation

You can test if you have successfully installed the Tensorflow DeepLab by running the following commands:

Quick test by running model_test.py:

# From tensorflow/models/research/
python deeplab/model_test.py

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A Yarp module for istantiating the Deeplab V3+ on the humanoid robot iCub

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