/MaaMS

The module will contain the following features: 1 - Object Detection in Virtual LiDAR Data Stream 2 - Deployment of Trained DL Model for Object Detection in LiDAR Data as a Micro-Service (MaaMS) 3 - Implementation of Publish/Subscribe Messaging Protocol 4 - Dummy implementation of Virtual LiDAR using KITTI Dataset

Primary LanguagePython

MaaMS (Model as a Micro Service)

The module will contain the following features:

1 - Object Detection in Virtual LiDAR Data Stream.
2 - Deployment of Trained DL Model for Object Detection in LiDAR Data as a Micro-Service (MaaMS)
3 - Implementation of Publish/Subscribe Messaging Protocol 4 - Dummy implementation of Virtual LiDAR using KITTI Dataset
To Run the code
 1. $ cd src/
 2. $ python service.py

Note

You have to first download the Yolo weights, which can be done by running checkpoints/downloads_weight.py .
Task Pending.
  1. Conversion of coordinates from point cloud to unity image format.
  2. Update service.py to check for weights, if not available first download it using checkpoints/downloads_weight.py