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ResNet

Deep Residual Learning for Image Recognition

This model is ported from PaddleHub using this script from OpenCV.

Results of accuracy evaluation with 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:

python demo.py --input /path/to/image

License

All files in this directory are licensed under Apache 2.0 License.

Reference