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Div99 committed May 20, 2018
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Expand Up @@ -55,11 +55,15 @@ After the requirements have been installed, the process from training to testing
3. `python eval_model.py`

After training, evaluation on an example image can be done by running:
```python eval_model.py -m [model-checkpoint] -i [img-path]```
`python eval_model.py -m [model-checkpoint] -i [img-path]`

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## References
[1] Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan. [Show and Tell: A Neural Image Caption Generator](https://arxiv.org/pdf/1411.4555.pdf)

[2] Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, Yoshua Bengio. [Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](https://arxiv.org/pdf/1502.03044.pdf))
[2] Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, Yoshua Bengio. [Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](https://arxiv.org/pdf/1502.03044.pdf)


## License
MIT License. See LICENSE file for details.

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