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It is designed to lower the barrier of entry\nand facilitates the end-to-end authoring workflow of custom object detection\nusing state-of-art deep learning methods.\n\nIt provides the following features via an easy-to-use web interface.\n\n* Training data management.\n* Data annotation through seamless integration with [OpenCV CVAT Labeling Tool](https://github.com/opencv/cvat).\n* One-click training/fine-tuning of object detection deep neural networks,\n  including SSD MobileNet, Faster RCNN Inception, and Faster RCNN ResNet, using\n  Tensorflow (with and without GPU).\n* One-click model export for inference with Tensorflow Serving.\n* Extensible architecture for easy addition of new deep neural network architectures.\n\n## Demo Video\n\n[![OpenTPOD Demo Video](http://img.youtube.com/vi/UHnNLrD6jTo/0.jpg)](https://youtu.be/UHnNLrD6jTo)\n\n\n## Documentation\n\n* [Motivation](docs/motivation.md)\n* [User Guide](docs/user-guide.md)\n* [Installation and Administration Guide](docs/server-guide.md)\n* [Developer Guide](docs/notes.md)\n* [Thorough Description and Context in PhD Thesis *Scaling Wearable Cognitive Assistance* (Section 6.3)](https://junjuew.github.io/assets/thesis.pdf)\n\n## Citations\n\nPlease cite the following thesis if you find OpenTPOD helps your research.\n\n```\n@phdthesis{wang2020scaling,\n  title={Scaling Wearable Cognitive Assistance},\n  author={Wang, Junjue},\n  year={2020},\n  school={CMU-CS-20-107, CMU School of Computer Science}\n}\n```\n\n## Acknowledgement\n\nThis research was supported by the National Science Foundation (NSF) under grant\nnumber CNS-1518865. Additional support was provided by Intel, Vodafone, Deutsche\nTelekom, Verizon, Crown Castle, Seagate, VMware, MobiledgeX, InterDigital, and\nthe Conklin Kistler family fund.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmusatyalab%2Fopentpod","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcmusatyalab%2Fopentpod","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmusatyalab%2Fopentpod/lists"}