Analytics-ML-API

A collection of machine learning model API for Smart Parking Analytics Website

How to Run

1. Run pip install -r requirements.txt
2. Run python preparation.py
3. Download trained yolov4 configuration here.
   You'll find config, label (obj.names) and weight file there. Download the three file and put them in directory saved_models/yolov4/.
4. Download trained efficientnet_d1 configuration here.
   You'll find config and checkpoint file. Download both of them and put them in directory saved_models/tfod/workspace/models/efficientnet_d1_coco17.
5. Download label file for efficientnet_d1 model here. Download label_map.pbtxt file and put it inside directory saved_models/tfod/workspace/annotations/.
6. Please update the database configuration in core/db_config.py.
7. Please update the host and port to run the apllication in app.py (last line of code).
8. Last, run python app.py to run application.