Fast Depth Coding Using Deep Learning is the thesis topic. The details of the implementation are documented here for reference.
This documentation is organized into a couple sections:
- :ref:`proposed-algorithm`
- :ref:`data-processing`
- :ref:`model-training`
- :ref:`model-testing`
- :ref:`codec-integration`
- :ref:`simulation-results`
- :ref:`references`
.. toctree:: :maxdepth: 1 :caption: Propose the Algorithm proposed-algorithm
.. toctree:: :maxdepth: 1 :caption: Pre-process the Data data-collection data-statistics data-visu edge-strength-analysis
.. toctree:: :maxdepth: 1 :caption: Train the Model training
.. toctree:: :maxdepth: 1 :caption: Evaluate the Model eval-model-08 eval-model-16
.. toctree:: :maxdepth: 1 :caption: Use the Learned Model tf-speed integration
.. toctree:: :maxdepth: 1 :caption: Simulation Results simu-results.rst
.. toctree:: :maxdepth: 1 :caption: Appendices debug-release GPU thesis-related how-to-write-thesis bd-br-bd-psnr terms
.. toctree:: :maxdepth: 1 :caption: References refs.rst