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| author | Manu Mathew | 2020-08-05 11:13:17 -0500 |
|---|---|---|
| committer | Manu Mathew | 2020-08-05 11:13:17 -0500 |
| commit | 011140db1629999fe1df5e651dbd585bad347d94 (patch) | |
| tree | 723acdd6de80681edfe375abf00def33b1b57aaa | |
| parent | 5abc987796a3d4b1139a7602d486b813a29f37c5 (diff) | |
| download | pytorch-mmdetection-011140db1629999fe1df5e651dbd585bad347d94.tar.gz pytorch-mmdetection-011140db1629999fe1df5e651dbd585bad347d94.tar.xz pytorch-mmdetection-011140db1629999fe1df5e651dbd585bad347d94.zip | |
minor documentation update
| -rw-r--r-- | docs/det_quantization.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/det_quantization.md b/docs/det_quantization.md index 49b6a7a0..98096ec3 100644 --- a/docs/det_quantization.md +++ b/docs/det_quantization.md | |||
| @@ -69,9 +69,9 @@ Please see the reference [3] for algorithmic details of the detector. | |||
| 69 | |RetinaNetLite+FPN|RegNetX800MF |512x512 |**11.08** |**31.6** |**30.3** | | | 69 | |RetinaNetLite+FPN|RegNetX800MF |512x512 |**11.08** |**31.6** |**30.3** | | |
| 70 | |RetinaNetLite+FPN|RegNetX1.6GF |768x768 | | | | | | 70 | |RetinaNetLite+FPN|RegNetX1.6GF |768x768 | | | | | |
| 71 | |. | 71 | |. |
| 72 | |RetinaNet+FPN* |ResNet50 |512x512 |**68.88** |**29.7** | |[link](https://github.com/open-mmlab/mmdetection/tree/master/configs/retinanet) | | 72 | |RetinaNet+FPN* |ResNet50 |512x512 |**68.88** |**29.0* | |[external](https://github.com/open-mmlab/mmdetection/tree/master/configs/retinanet) | |
| 73 | |RetinaNet+FPN* |ResNet50 |768x768 |**137.75**|**34.0** | |[link](https://github.com/open-mmlab/mmdetection/tree/master/configs/retinanet) | | 73 | |RetinaNet+FPN* |ResNet50 |768x768 |**137.75**|**34.0** | |[external](https://github.com/open-mmlab/mmdetection/tree/master/configs/retinanet) | |
| 74 | |RetinaNet+FPN* |ResNet50 |(1536,768) |**275.5** |**37.0** | |[link](https://github.com/open-mmlab/mmdetection/tree/master/configs/retinanet) | | 74 | |RetinaNet+FPN* |ResNet50 |(1536,768) |**275.5** |**37.0** | |[external](https://github.com/open-mmlab/mmdetection/tree/master/configs/retinanet) | |
| 75 | <br> | 75 | <br> |
| 76 | 76 | ||
| 77 | - Float AP [0.5:0.95]% : COCO Mean Average Precision metric in percentage for IoU range [0.5:0.95], with the floating point model. | 77 | - Float AP [0.5:0.95]% : COCO Mean Average Precision metric in percentage for IoU range [0.5:0.95], with the floating point model. |