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‎README.md

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## History
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- [ ] Models/APIs for other downstream tasks
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- [ ] Support [CVPR 2023 Workshop on End-to-End Autonomous Driving](https://opendrivelab.com/e2ead/cvpr23), see [here](https://github.com/OpenGVLab/InternImage/tree/master/autonomous_driving)
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- [x] Models for other downstream tasks
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- [x] Support [CVPR 2023 Workshop on End-to-End Autonomous Driving](https://opendrivelab.com/e2ead/cvpr23), see [here](https://github.com/OpenGVLab/InternImage/tree/master/autonomous_driving)
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- [x] Support extracting intermediate features, see [here](classification/extract_feature.py)
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- [x] Low-cost training with [DeepSpeed](https://github.com/microsoft/DeepSpeed), see [here](https://github.com/OpenGVLab/InternImage/tree/master/classification)
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- [x] Compiling-free `.whl` package of DCNv3 operator, see [here](https://github.com/OpenGVLab/InternImage/releases/tag/whl_files)
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<br>
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<div>
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| name | pretrain | resolution | acc@1 | #param | FLOPs | download |
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| :------------: | :------------------: | :--------: | :---: | :----: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| InternImage-T | IN-1K | 224x224 | 83.5 | 30M | 5G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_t_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_t_1k_224) \| [cfg](configs/without_lr_decay/internimage_t_1k_224.yaml) |
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| InternImage-S | IN-1K | 224x224 | 84.2 | 50M | 8G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_s_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_s_1k_224) \| [cfg](configs/without_lr_decay/internimage_s_1k_224.yaml) |
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| InternImage-B | IN-1K | 224x224 | 84.9 | 97M | 16G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_b_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_b_1k_224) \| [cfg](configs/without_lr_decay/internimage_b_1k_224.yaml) |
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| InternImage-L | IN-22K | 384x384 | 87.7 | 223M | 108G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_l_22kto1k_384.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_l_22kto1k_384) \| [cfg](configs/without_lr_decay/internimage_l_22kto1k_384.yaml) |
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| InternImage-XL | IN-22K | 384x384 | 88.0 | 335M | 163G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_xl_22kto1k_384.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_xl_22kto1k_384) \| [cfg](configs/without_lr_decay/internimage_xl_22kto1k_384.yaml) |
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| InternImage-H | Joint 427M -> IN-22K | 640x640 | 89.6 | 1.08B | 1478G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_h_22kto1k_640.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_h_22kto1k_640) \| [cfg](configs/without_lr_decay/internimage_h_22kto1k_640.yaml) |
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| InternImage-G | Joint 427M -> IN-22K | 512x512 | 90.1 | 3B | 2700G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_g_22kto1k_512.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_g_22kto1k_512) \| [cfg](configs/without_lr_decay/internimage_g_22kto1k_512.yaml) |
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| name | pretrain | resolution | acc@1 | #param | FLOPs | download |
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| :------------: | :------------------: | :--------: | :---: | :----: | :---: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| InternImage-T | IN-1K | 224x224 | 83.5 | 30M | 5G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_t_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_t_1k_224) \| [cfg](classification/configs/without_lr_decay/internimage_t_1k_224.yaml) |
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| InternImage-S | IN-1K | 224x224 | 84.2 | 50M | 8G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_s_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_s_1k_224) \| [cfg](classification/configs/without_lr_decay/internimage_s_1k_224.yaml) |
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| InternImage-B | IN-1K | 224x224 | 84.9 | 97M | 16G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_b_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_b_1k_224) \| [cfg](classification/configs/without_lr_decay/internimage_b_1k_224.yaml) |
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| InternImage-L | IN-22K | 384x384 | 87.7 | 223M | 108G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_l_22kto1k_384.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_l_22kto1k_384) \| [cfg](classification/configs/without_lr_decay/internimage_l_22kto1k_384.yaml) |
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| InternImage-XL | IN-22K | 384x384 | 88.0 | 335M | 163G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_xl_22kto1k_384.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_xl_22kto1k_384) \| [cfg](classification/configs/without_lr_decay/internimage_xl_22kto1k_384.yaml) |
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| InternImage-H | Joint 427M -> IN-22K | 640x640 | 89.6 | 1.08B | 1478G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_h_22kto1k_640.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_h_22kto1k_640) \| [cfg](classification/configs/without_lr_decay/internimage_h_22kto1k_640.yaml) |
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| InternImage-G | Joint 427M -> IN-22K | 512x512 | 90.1 | 3B | 2700G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_g_22kto1k_512.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_g_22kto1k_512) \| [cfg](classification/configs/without_lr_decay/internimage_g_22kto1k_512.yaml) |
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‎README_CN.md

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## 项目功能
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- [ ] 各类下游任务
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- [ ] 支持 [CVPR 2023 Workshop on End-to-End Autonomous Driving](https://opendrivelab.com/e2ead/cvpr23)，[详见](https://github.com/OpenGVLab/InternImage/tree/master/autonomous_driving)
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- [x] 各类下游任务
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- [x] 支持 [CVPR 2023 Workshop on End-to-End Autonomous Driving](https://opendrivelab.com/e2ead/cvpr23)，[详见](https://github.com/OpenGVLab/InternImage/tree/master/autonomous_driving)
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- [x] 支持提取模型中间层特征，[详见](classification/extract_feature.py)
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- [x] 支持基于 [DeepSpeed](https://github.com/microsoft/DeepSpeed) 的低成本训练，[详见](https://github.com/OpenGVLab/InternImage/tree/master/classification)
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- [x] DCNv3 算子预编译 `.whl` 包，[详见](https://github.com/OpenGVLab/InternImage/releases/tag/whl_files)
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| name | pretrain | resolution | acc@1 | #param | FLOPs | download |
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| :------------: | :----------: | :--------: | :---: | :----: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| InternImage-T | ImageNet-1K | 224x224 | 83.5 | 30M | 5G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_t_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_t_1k_224) \| [cfg](configs/without_lr_decay/internimage_t_1k_224.yaml) |
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| InternImage-S | ImageNet-1K | 224x224 | 84.2 | 50M | 8G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_s_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_s_1k_224) \| [cfg](configs/without_lr_decay/internimage_s_1k_224.yaml) |
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| InternImage-B | ImageNet-1K | 224x224 | 84.9 | 97M | 16G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_b_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_b_1k_224) \| [cfg](configs/without_lr_decay/internimage_b_1k_224.yaml) |
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| InternImage-L | ImageNet-22K | 384x384 | 87.7 | 223M | 108G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_l_22kto1k_384.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_l_22kto1k_384) \| [cfg](configs/without_lr_decay/internimage_l_22kto1k_384.yaml) |
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| InternImage-XL | ImageNet-22K | 384x384 | 88.0 | 335M | 163G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_xl_22kto1k_384.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_xl_22kto1k_384) \| [cfg](configs/without_lr_decay/internimage_xl_22kto1k_384.yaml) |
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| InternImage-H | Joint 427M | 640x640 | 89.6 | 1.08B | 1478G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_h_22kto1k_640.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_h_22kto1k_640) \| [cfg](configs/without_lr_decay/internimage_h_22kto1k_640.yaml) |
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| InternImage-G | Joint 427M | 512x512 | 90.1 | 3B | 2700G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_g_22kto1k_512.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_g_22kto1k_512) \| [cfg](configs/without_lr_decay/internimage_g_22kto1k_512.yaml) |
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| name | pretrain | resolution | acc@1 | #param | FLOPs | download |
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| :------------: | :----------: | :--------: | :---: | :----: | :---: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| InternImage-T | ImageNet-1K | 224x224 | 83.5 | 30M | 5G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_t_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_t_1k_224) \| [cfg](classification/configs/without_lr_decay/internimage_t_1k_224.yaml) |
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| InternImage-S | ImageNet-1K | 224x224 | 84.2 | 50M | 8G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_s_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_s_1k_224) \| [cfg](classification/configs/without_lr_decay/internimage_s_1k_224.yaml) |
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| InternImage-B | ImageNet-1K | 224x224 | 84.9 | 97M | 16G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_b_1k_224.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_b_1k_224) \| [cfg](classification/configs/without_lr_decay/internimage_b_1k_224.yaml) |
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| InternImage-L | ImageNet-22K | 384x384 | 87.7 | 223M | 108G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_l_22kto1k_384.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_l_22kto1k_384) \| [cfg](classification/configs/without_lr_decay/internimage_l_22kto1k_384.yaml) |
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| InternImage-XL | ImageNet-22K | 384x384 | 88.0 | 335M | 163G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_xl_22kto1k_384.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_xl_22kto1k_384) \| [cfg](classification/configs/without_lr_decay/internimage_xl_22kto1k_384.yaml) |
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| InternImage-H | Joint 427M | 640x640 | 89.6 | 1.08B | 1478G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_h_22kto1k_640.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_h_22kto1k_640) \| [cfg](classification/configs/without_lr_decay/internimage_h_22kto1k_640.yaml) |
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| InternImage-G | Joint 427M | 512x512 | 90.1 | 3B | 2700G | [pth](https://huggingface.co/OpenGVLab/InternImage/resolve/main/internimage_g_22kto1k_512.pth) \| [hf](https://huggingface.co/OpenGVLab/internimage_g_22kto1k_512) \| [cfg](classification/configs/without_lr_decay/internimage_g_22kto1k_512.yaml) |
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‎classification/README.md

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<details open>
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<summary>Standard ImageNet-1K</summary>
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- We use standard ImageNet dataset, you can download it from http://image-net.org/.
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‎detection/README.md

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| 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) |
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| DINO | InternImage-H | 1x | 63.4 | 1.1B | [config](./configs/coco/dino_4scale_internimage_h_objects365_coco_ss.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_h_objects365_coco.pth) |
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| DINO | CB-InternImage-H | 1x | 64.5 | 2.2B | [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) |
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| DINO (TTA) | CB-InternImage-H | 1x | 65.0 | 2.2B | TODO | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_coco.pth) |
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| DINO (TTA) | CB-InternImage-H | 1x | 65.0 | 2.2B | - | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_cbinternimage_h_objects365_coco.pth) |
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| DINO | InternImage-G | 1x | 64.2 | 3.1B | [config](./configs/coco/dino_4scale_internimage_g_objects365_coco_ss.py) | [ckpt](https://huggingface.co/OpenGVLab/InternImage/resolve/main/dino_4scale_internimage_g_objects365_coco.pth) |
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| DINO (TTA) | CB-InternImage-G | 1x | 65.1 | 6B | TODO | TODO |
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| DINO (TTA) | CB-InternImage-G | 1x | 65.3 | 6B | TODO | TODO |
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| DINO | CB-InternImage-G | 1x | 65.1 | 6B | - | - |
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| DINO (TTA) | CB-InternImage-G | 1x | 65.3 | 6B | - | - |
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