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TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. This repo contains a basic procedure to train and deploy the DNN model suggested by the paper 'Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention'. It rewrites the original codes from zlzeng/DeepFloorplan into newer versions of Tensorflow and Python.
Features
- Docker for API
- Documentation available
- Examples available
- Google Colab
- It rewrites the original codes from zlzeng/DeepFloorplan into newer versions of Tensorflow and Python
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Categories
Machine LearningLicense
GNU General Public License version 3.0 (GPLv3)Follow TF2DeepFloorplan
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