| # 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). |
|
|
| **Note**: |
| - `image_classification_ppresnet50_2022jan_int8bq.onnx` represents the block-quantized version in int8 precision and is generated using [block_quantize.py](../../tools/quantize/block_quantize.py) with `block_size=64`. |
|
|
| Results of accuracy evaluation with [tools/eval](../../tools/eval). |
|
|
| | Models | Top-1 Accuracy | Top-5 Accuracy | |
| | --------------- | -------------- | -------------- | |
| | PP-ResNet | 82.28 | 96.15 | |
| | PP-ResNet block | 82.27 | 96.15 | |
| | PP-ResNet quant | 0.22 | 0.96 | |
|
|
| \*: 'quant' stands for 'quantized'. |
| \*\*: 'block' stands for 'blockwise quantized'. |
| |
| ## Demo |
| |
| Run the following commands to try the demo: |
| |
| ### Python |
| |
| ```shell |
| python demo.py --input /path/to/image |
| |
| # get help regarding various parameters |
| python demo.py --help |
| ``` |
| ### C++ |
| |
| Install latest OpenCV and CMake >= 3.24.0 to get started with: |
| |
| ```shell |
| # A typical and default installation path of OpenCV is /usr/local |
| cmake -B build -D OPENCV_INSTALLATION_PATH=/path/to/opencv/installation . |
| cmake --build build |
| |
| # detect on an image |
| ./build/opencv_zoo_image_classification_ppresnet -i=/path/to/image |
| |
| # detect on an image and display top N classes |
| ./build/opencv_zoo_image_classification_ppresnet -i=/path/to/image -k=N |
| |
| # get help messages |
| ./build/opencv_zoo_image_classification_ppresnet -h |
| ``` |
| |
| ## 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 |
| |
