未验证 提交 7a2fbe82 编写于 作者: G Guanghua Yu 提交者: GitHub

Update RT-DETR quantization example link (#8353)

上级 73ad25b8
......@@ -149,6 +149,19 @@ trtexec --onnx=./rtdetr_r50vd_6x_coco.onnx \
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## 量化压缩
详细步骤请参考:[RT-DETR自动化量化压缩](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/deploy/auto_compression#rt-detr)
| 模型 | Base mAP | ACT量化mAP | TRT-FP32 | TRT-FP16 | TRT-INT8 | 配置文件 | 量化模型 |
| :---------------- | :------- | :--------: | :------: | :------: | :--------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
| RT-DETR-R50 | 53.1 | 53.0 | 32.05ms | 9.12ms | **6.96ms** | [config](https://github.com/PaddlePaddle/PaddleSlim/blob/develop/example/auto_compression/detection/configs/rtdetr_r50vd_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/rtdetr_r50vd_6x_coco_quant.tar) |
| RT-DETR-R101 | 54.3 | 54.1 | 54.13ms | 12.68ms | **9.20ms** | [config](https://github.com/PaddlePaddle/PaddleSlim/blob/develop/example/auto_compression/detection/configs/rtdetr_r101vd_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/rtdetr_r101vd_6x_coco_quant.tar) |
| RT-DETR-HGNetv2-L | 53.0 | 52.9 | 26.16ms | 8.54ms | **6.65ms** | [config](https://github.com/PaddlePaddle/PaddleSlim/blob/develop/example/auto_compression/detection/configs/rtdetr_hgnetv2_l_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/rtdetr_hgnetv2_l_6x_coco_quant.tar) |
| RT-DETR-HGNetv2-X | 54.8 | 54.6 | 49.22ms | 12.50ms | **9.24ms** | [config](https://github.com/PaddlePaddle/PaddleSlim/blob/develop/example/auto_compression/detection/configs/rtdetr_hgnetv2_x_qat_dis.yaml) | [Model](https://bj.bcebos.com/v1/paddle-slim-models/act/rtdetr_hgnetv2_x_6x_coco_quant.tar) |
- 上表测试环境:Tesla T4,TensorRT 8.6.0,CUDA 11.7,batch_size=1。
- 也可直接参考:[PaddleSlim自动化压缩示例](https://github.com/PaddlePaddle/PaddleSlim/tree/develop/example/auto_compression/detection)
## 其他
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