deep-floor-plan-recognition
The project uses a computer vision model to extract structured features from floor plan images for a fire risk assessment.
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Download Latest Version (.zip)- asgi.py
- compartment_counter.py
- in_mem_floor_plans.py
- model_initializer.py
- model_prediction_post_processing.py
- models.py
- serializer.py
- settings.py
- system_state.py
- urls.py
- views.py
- wsgi.py
- __init__.py
- create_tfrecord.py
- rgb_ind_convertor.py
- tf_record.py
- util.py
- __init__.py
- data.py
- loss.py
- net.py
- scores.py
- train.py
- demo.gif
- main.59a1cc11.chunk.css
- 2.62c39b7c.chunk.js
- 2.62c39b7c.chunk.js.LICENSE.txt
- main.b472a0f7.chunk.js
- runtime-main.28caab1f.js
- analyze_1.08f4b8e3.png
- analyze_2.453dde1e.png
- analyze_3.24fd5b97.png
- analyzing.91fe71b0.png
- exctracted_features.f42f91eb.png
- features.png
- saving.a41a4b95.png
- .DS_Store
- asset-manifest.json
- index.html
- requirements_demo.txt
- requirements_model.txt
- data.csv
- .DS_Store
- .gitattributes
- db.sqlite3
- LICENSE
- manage.py
- README.md
// repository documentation
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