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Faster R-CNN R-101-FPN model was implemented with TensorFlow2.0 eager execution.

License: MIT License

Python 0.91% Jupyter Notebook 99.09%

tf-eager-fasterrcnn's Introduction

tf-eager-fasterrcnn

Faster R-CNN R-101-FPN model was implemented with TensorFlow2.0 Eager Execution.

Requirements

  • Cuda 10.0
  • Python 3.5
  • TensorFlow 2.0.0
  • cv2

Usage

see train_model.ipynb, inspect_model.ipynb and eval_model.ipynb

Download trained Faster R-CNN

Updating

  • online hard examples mining
  • soft-nms
  • TTA (multi-scale testing, flip and box voting)
  • multi-scale training

Acknowledgement

This work builds on many excellent works, which include:

tf-eager-fasterrcnn's People

Contributors

viredery avatar

Watchers

James Cloos avatar

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