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
# get help regarding various parameters
python demo.py --help
License
All files in this directory are licensed under Apache 2.0 License.