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Commit 0dec0215 authored by zhe chen's avatar zhe chen
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README.md
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......@@ -174,9 +174,9 @@ Some other projects related to InternImage include the pretraining algorithm "M3
| InternImage-XL | Cascade | 3x | 56.2 | 48.8 | 387M | 1782G | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/cascade_internimage_xl_fpn_3x_coco.pth) \| [cfg](detection/configs/coco/cascade_internimage_xl_fpn_3x_coco.py) |
| backbone | method | box mAP (val/test) | #param | FLOPs | download |
| :-----------: | :--------: | :----------------: | :----: | :---: | :------: |
| InternImage-H | DINO (TTA) | 65.0 / 65.4 | 2.18B | TODO | TODO |
| InternImage-G | DINO (TTA) | 65.3 / 65.5 | 3B | TODO | TODO |
| :--------------: | :--------: | :----------------: | :----: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| CB-InternImage-H | DINO (TTA) | 65.0 / 65.4 | 2.18B | - | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_coco.pth) \| [cfg](https://github.com/OpenGVLab/InternImage/blob/master/detection/configs/coco/dino_4scale_cbinternimage_h_objects365_coco_ss.py) |
| CB-InternImage-G | DINO (TTA) | 65.3 / 65.5 | 3B | - | TODO |
</div>
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README_CN.md
View file @ 0dec0215
......@@ -173,9 +173,9 @@ InternImage 是一个由上海人工智能实验室、清华大学等机构的
| InternImage-XL | Cascade | 3x | 56.2 | 48.8 | 387M | 1782G | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/cascade_internimage_xl_fpn_3x_coco.pth) \| [cfg](detection/configs/coco/cascade_internimage_xl_fpn_3x_coco.py) |
| backbone | method | box mAP (val/test) | #param | FLOPs | download |
| :-----------: | :--------: | :----------------: | :----: | :---: | :------: |
| InternImage-H | DINO (TTA) | 65.0 / 65.4 | 2.18B | TODO | TODO |
| InternImage-G | DINO (TTA) | 65.3 / 65.5 | 3B | TODO | TODO |
| :--------------: | :--------: | :----------------: | :----: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| CB-InternImage-H | DINO (TTA) | 65.0 / 65.4 | 2.18B | - | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_coco.pth) \| [cfg](https://github.com/OpenGVLab/InternImage/blob/master/detection/configs/coco/dino_4scale_cbinternimage_h_objects365_coco_ss.py) |
| CB-InternImage-G | DINO (TTA) | 65.3 / 65.5 | 3B | - | TODO |
</div>
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detection/README.md
View file @ 0dec0215
......@@ -96,7 +96,7 @@ Prepare datasets according to the guidelines in [MMDetection v2.28.1](https://gi
<div>
| method | backbone | schd | box mAP | mask mAP | #param | FLOPs | Config | Download |
| :--------: | :------------: | :--: | :-----: | :------: | :----: | :---: | :----------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| :--------: | :------------: | :--: | :-----: | :------: | :----: | :---: | :-------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| Mask R-CNN | InternImage-T | 1x | 47.2 | 42.5 | 49M | 270G | [config](./configs/coco/mask_rcnn_internimage_t_fpn_1x_coco.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/mask_rcnn_internimage_t_fpn_1x_coco.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/mask_rcnn_internimage_t_fpn_1x_coco.log.json) |
| Mask R-CNN | InternImage-T | 3x | 49.1 | 43.7 | 49M | 270G | [config](./configs/coco/mask_rcnn_internimage_t_fpn_3x_coco.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/mask_rcnn_internimage_t_fpn_3x_coco.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/mask_rcnn_internimage_t_fpn_3x_coco.log.json) |
| Mask R-CNN | InternImage-S | 1x | 47.8 | 43.3 | 69M | 340G | [config](./configs/coco/mask_rcnn_internimage_s_fpn_1x_coco.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/mask_rcnn_internimage_s_fpn_1x_coco.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/mask_rcnn_internimage_s_fpn_1x_coco.log.json) |
......@@ -107,9 +107,13 @@ Prepare datasets according to the guidelines in [MMDetection v2.28.1](https://gi
| Cascade | InternImage-L | 3x | 56.1 | 48.5 | 277M | 1399G | [config](./configs/coco/cascade_internimage_l_fpn_3x_coco.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/cascade_internimage_l_fpn_3x_coco.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/cascade_internimage_l_fpn_3x_coco.log.json) |
| Cascade | InternImage-XL | 1x | 55.3 | 48.1 | 387M | 1782G | [config](./configs/coco/cascade_internimage_xl_fpn_1x_coco.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/cascade_internimage_xl_fpn_1x_coco.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/cascade_internimage_xl_fpn_1x_coco.log.json) |
| Cascade | InternImage-XL | 3x | 56.2 | 48.8 | 387M | 1782G | [config](./configs/coco/cascade_internimage_xl_fpn_3x_coco.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/cascade_internimage_xl_fpn_3x_coco.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/cascade_internimage_xl_fpn_3x_coco.log.json) |
| DINO | InternImage-T | 1x | 53.9 | - | 49M | - | [config](./configs/coco/dino_4scale_internimage_t_1x_coco_layer_wise_lr.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_t_1x_coco.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_t_1x_coco.json) |
| DINO | InternImage-L | 1x | 57.6 | - | 241M | - | [config](./configs/coco/dino_4scale_internimage_l_1x_coco_0.1x_backbone_lr.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_l_1x_coco_0.1x_backbone_lr.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_l_1x_coco_0.1x_backbone_lr.log.json) |
| DINO | InternImage-H | - | 65.0 | - | 2.18B | - | [config](./configs/coco/dino_4scale_cbinternimage_h_objects365_coco_ss.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_coco.pth) |
| method | backbone | schd | box mAP | #param | Config | Download |
| :--------: | :--------------: | :--: | :-----: | :----: | :----------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| DINO | InternImage-T | 1x | 53.9 | 49M | [config](./configs/coco/dino_4scale_internimage_t_1x_coco_layer_wise_lr.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_t_1x_coco.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_t_1x_coco.json) |
| DINO | InternImage-L | 1x | 57.6 | 241M | [config](./configs/coco/dino_4scale_internimage_l_1x_coco_0.1x_backbone_lr.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_l_1x_coco_0.1x_backbone_lr.pth) \| [log](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_l_1x_coco_0.1x_backbone_lr.log.json) |
| DINO | CB-InternImage-H | 1x | 64.5 | 2.18B | [config](./configs/coco/dino_4scale_cbinternimage_h_objects365_coco_ss.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_coco.pth) |
| DINO (TTA) | CB-InternImage-H | 1x | 65.0 | 2.18B | - | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_coco.pth) |
</div>
......@@ -121,8 +125,8 @@ Prepare datasets according to the guidelines in [MMDetection v2.28.1](https://gi
<div>
| method | backbone | minival (ss) | val (ss/ms) | #param | Config | Download |
| :----: | :-----------: | :----------: | :---------: | :----: | :--------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------: |
| DINO | InternImage-H | 65.8 | 62.3 / 63.2 | 2.18B | [config](./configs/lvis/dino_4scale_cbinternimage_h_objects365_lvis_minival_ss.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_lvis.pth) |
| :----: | :--------------: | :----------: | :---------: | :----: | :--------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------: |
| DINO | CB-InternImage-H | 65.8 | 62.3 / 63.2 | 2.18B | [config](./configs/lvis/dino_4scale_cbinternimage_h_objects365_lvis_minival_ss.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_lvis.pth) |
</div>
......@@ -134,8 +138,8 @@ Prepare datasets according to the guidelines in [MMDetection v2.28.1](https://gi
<div>
| method | backbone | mAP (ss) | #param | Config | Download |
| :----: | :-----------: | :------: | :----: | :------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------: |
| DINO | InternImage-H | 74.1 | 2.18B | [config](./configs/openimages/dino_4scale_cbinternimage_h_objects365_openimages_ss.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_openimages.pth) |
| :----: | :--------------: | :------: | :----: | :------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------: |
| DINO | CB-InternImage-H | 74.1 | 2.18B | [config](./configs/openimages/dino_4scale_cbinternimage_h_objects365_openimages_ss.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_openimages.pth) |
</div>
......@@ -147,8 +151,8 @@ Prepare datasets according to the guidelines in [MMDetection v2.28.1](https://gi
<div>
| method | backbone | VOC 2007 | VOC 2012 | #param | Config | Download |
| :----: | :-----------: | :------: | :------: | :----: | :---------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------: |
| DINO | InternImage-H | 94.0 | 97.2 | 2.18B | [config](./configs/voc/dino_4scale_cbinternimage_h_objects365_voc07.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_voc0712.pth) |
| :----: | :--------------: | :------: | :------: | :----: | :---------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------: |
| DINO | CB-InternImage-H | 94.0 | 97.2 | 2.18B | [config](./configs/voc/dino_4scale_cbinternimage_h_objects365_voc07.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_voc0712.pth) |
</div>
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