An online annotation toolkit with web-based UI for Image Retrieval/ReID/Face Recognition tasks. It is freely accessible to both research and industrial fields.
Note: training and testing codes can be found from XCloud.
| Architecture | Supervision | Status |
|---|---|---|
| DenseNet121 | Softmax | [YES] |
| DenseNet121 | CenterLoss | [YES] |
| DenseNet121 | A-Softmax | [YES] |
| ResNeXt50 | A-Softmax | [TODO] |
| SEResNeXt50 | A-Softmax | [TODO] |
- Train your embedding model with the code provided in XCloud cbir branch.
- Extract deep features with the code provided in preprocess, CbirAnnoTool support SoftmaxLoss, CenterLoss and ASoftmaxLoss.
- Start Django service by
python3 manage.py runserver 0.0.0.0:8001 - Open your browser and visit http://YOUR_MACHINE_IP:8001/cv/annoview
This tool is supplementary of XCloud, If you use this tool in your research, please cite our technical report about XCloud as:
@article{xu2019xcloud,
title={XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service},
author={Xu, Lu and Wang, Yating},
journal={arXiv preprint arXiv:1912.10344},
year={2019}
}