未验证 提交 019226bf 编写于 作者: W Wenyu 提交者: GitHub

update ppyole plus name, test=document_fix (#6754)

上级 73ef70f0
......@@ -35,14 +35,14 @@
- mAP的指标均在COCO val2017数据集中评测得到,IoU=0.5:0.95。
### PP-YOLOE-plus
### PP-YOLOE+
| 模型 | Base mAP | 离线量化mAP | ACT量化mAP | TRT-FP32 | TRT-FP16 | TRT-INT8 | 配置文件 | 量化模型 |
| :-------- |:-------- |:--------: | :---------------------: | :----------------: | :----------------: | :---------------: | :----------------------: | :---------------------: |
| PP-YOLOE-plus-s | 43.7 | - | 42.9 | - | - | - | [config](./configs/ppyoloe_plus_s_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/ppyoloe_plus_s_qat_dis.tar) |
| PP-YOLOE-plus-m | 49.8 | - | 49.3 | - | - | - | [config](./configs/ppyoloe_plus_m_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/ppyoloe_plus_m_qat_dis.tar) |
| PP-YOLOE-plus-l | 52.9 | - | 52.6 | - | - | - | [config](./configs/ppyoloe_plus_l_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/ppyoloe_plus_l_qat_dis.tar) |
| PP-YOLOE-plus-x | 54.7 | - | 54.4 | - | - | - | [config](./configs/ppyoloe_plus_x_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/ppyoloe_plus_x_qat_dis.tar) |
| PP-YOLOE+_s | 43.7 | - | 42.9 | - | - | - | [config](./configs/ppyoloe_plus_s_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/ppyoloe_plus_s_qat_dis.tar) |
| PP-YOLOE+_m | 49.8 | - | 49.3 | - | - | - | [config](./configs/ppyoloe_plus_m_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/ppyoloe_plus_m_qat_dis.tar) |
| PP-YOLOE+_l | 52.9 | - | 52.6 | - | - | - | [config](./configs/ppyoloe_plus_l_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/ppyoloe_plus_l_qat_dis.tar) |
| PP-YOLOE+_x | 54.7 | - | 54.4 | - | - | - | [config](./configs/ppyoloe_plus_x_qat_dis.yaml) | [Quant Model](https://bj.bcebos.com/v1/paddledet/deploy/Inference/ppyoloe_plus_x_qat_dis.tar) |
- mAP的指标均在COCO val2017数据集中评测得到,IoU=0.5:0.95。
......
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