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# ResNet
Deep Residual Learning for Image Recognition
This model is ported from [PaddleHub](https://github.com/PaddlePaddle/PaddleHub) using [this script from OpenCV](https://github.com/opencv/opencv/blob/master/samples/dnn/dnn_model_runner/dnn_conversion/paddlepaddle/paddle_resnet50.py).
Results of accuracy evaluation with [tools/eval](../../tools/eval).
| Models | Top-1 Accuracy | Top-5 Accuracy |
| ------ | -------------- | -------------- |
| PP-ResNet | 82.28 | 96.15 |
| PP-ResNet quant | 0.22 | 0.96 |
\*: 'quant' stands for 'quantized'.
## Demo
Run the following command to try the demo:
```shell
python demo.py --input /path/to/image
```
## License
All files in this directory are licensed under [Apache 2.0 License](./LICENSE).
## Reference
- https://arxiv.org/abs/1512.03385
- https://github.com/opencv/opencv/tree/master/samples/dnn/dnn_model_runner/dnn_conversion/paddlepaddle
- https://github.com/PaddlePaddle/PaddleHub
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