This is the repo for AI City Challenge, Track 2 by HCMUS Team
In this repo:
- Code for triplet embeding networks, use it to embed both vehicle image & landmark parts
- Code for feature/attribute classification networks, use it to classify pose & vehicle type
- Code for extracting landmarks from veri datasets, use it to get dataset to train faster rcnn
- Code for detecting landmark, faster rcnn code
- Code for integrating individual module into pipeline, to produce final result.