project_bypass

Parking interaction system

INFERENCE:

train_... notebooks produce trained tflite models

compilation and co-compilation files compile the model for Edge TPU compatability

inference.py provides a basic workflow of the device inference process

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
arduino		arduino
labels		labels
models_tflite		models_tflite
streamlit		streamlit
BypassBot.ipynb		BypassBot.ipynb
Cloud_Database_Interaction.ipynb		Cloud_Database_Interaction.ipynb
Data_Transition_Device.ipynb		Data_Transition_Device.ipynb
Data_Transition_Server.ipynb		Data_Transition_Server.ipynb
LICENSE		LICENSE
README.md		README.md
cocompilation.sh		cocompilation.sh
compilation.sh		compilation.sh
inference.py		inference.py
train_EfficientDet_EfficientDet_same_model.ipynb		train_EfficientDet_EfficientDet_same_model.ipynb
train_EfficientDet_model1_plates.ipynb		train_EfficientDet_model1_plates.ipynb
train_EfficientDet_model2_symbols.ipynb		train_EfficientDet_model2_symbols.ipynb