| [RetinaNet](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/retinanet) | MMDetection | Y | Y | Y | Y | Y | Y | Y | Y |
| [Faster R-CNN](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/faster_rcnn) | MMDetection | Y | Y | Y | Y | Y | Y | Y | N |
| [YOLOv3](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/yolo) | MMDetection | Y | Y | Y | Y | N | Y | Y | Y |
| [YOLOX](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/yolox) | MMDetection | Y | Y | Y | Y | N | Y | N | Y |
| [FCOS](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/fcos) | MMDetection | Y | Y | Y | Y | N | Y | N | N |
| [FSAF](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/fsaf) | MMDetection | Y | Y | Y | Y | Y | Y | N | Y |
| [Mask R-CNN](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/mask_rcnn) | MMDetection | Y | Y | Y | N | N | Y | N | N |
| [SSD](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/ssd)[\*](#note) | MMDetection | Y | Y | Y | Y | N | Y | N | Y |
| [FoveaBox](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/foveabox) | MMDetection | Y | Y | N | N | N | Y | N | N |
| [ATSS](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/atss) | MMDetection | N | Y | Y | N | N | Y | N | N |
| [GFL](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/gfl) | MMDetection | N | Y | Y | N | ? | Y | N | N |
| [Cascade R-CNN](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/cascade_rcnn) | MMDetection | N | Y | Y | N | Y | Y | N | N |
| [Cascade Mask R-CNN](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/cascade_rcnn) | MMDetection | N | Y | Y | N | N | Y | N | N |
| [Swin Transformer](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/swin)[\*](#note) | MMDetection | N | Y | Y | N | N | Y | N | N |
| [VFNet](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/vfnet) | MMDetection | N | N | N | N | N | Y | N | N |
| [RepPoints](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/reppoints) | MMDetection | N | N | Y | N | ? | Y | N | N |
| [DETR](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/detr) | MMDetection | N | Y | Y | N | ? | N | N | N |
| [CenterNet](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/centernet) | MMDetection | N | Y | Y | N | ? | Y | N | N |
| [SOLO](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/solo) | MMDetection | N | Y | N | N | N | Y | N | N |
| [SOLOv2](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/solov2) | MMDetection | N | Y | N | N | N | Y | N | N |
| [ResNet](https://github.com/open-mmlab/mmpretrain/tree/main/configs/resnet) | MMPretrain | Y | Y | Y | Y | Y | Y | Y | Y |
| [ResNeXt](https://github.com/open-mmlab/mmpretrain/tree/main/configs/resnext) | MMPretrain | Y | Y | Y | Y | Y | Y | Y | Y |
| [SE-ResNet](https://github.com/open-mmlab/mmpretrain/tree/main/configs/seresnet) | MMPretrain | Y | Y | Y | Y | Y | Y | Y | Y |
| [MobileNetV2](https://github.com/open-mmlab/mmpretrain/tree/main/configs/mobilenet_v2) | MMPretrain | Y | Y | Y | Y | Y | Y | Y | Y |
| [MobileNetV3](https://github.com/open-mmlab/mmpretrain/tree/main/configs/mobilenet_v3) | MMPretrain | Y | Y | Y | Y | N | Y | N | N |
| [ShuffleNetV1](https://github.com/open-mmlab/mmpretrain/tree/main/configs/shufflenet_v1) | MMPretrain | Y | Y | Y | Y | Y | Y | Y | Y |
| [ShuffleNetV2](https://github.com/open-mmlab/mmpretrain/tree/main/configs/shufflenet_v2) | MMPretrain | Y | Y | Y | Y | Y | Y | Y | Y |
| [VisionTransformer](https://github.com/open-mmlab/mmpretrain/tree/main/configs/vision_transformer) | MMPretrain | Y | Y | Y | Y | ? | Y | Y | N |
| [SwinTransformer](https://github.com/open-mmlab/mmpretrain/tree/main/configs/swin_transformer) | MMPretrain | Y | Y | Y | N | ? | N | ? | N |
| [MobileOne](https://github.com/open-mmlab/mmpretrain/tree/main/configs/mobileone) | MMPretrain | N | Y | Y | N | N | N | N | N |
| [FCN](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/fcn) | MMSegmentation | Y | Y | Y | Y | Y | Y | Y | Y |
| [PSPNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/pspnet)[\*static](#note) | MMSegmentation | Y | Y | Y | Y | Y | Y | Y | Y |
| [DeepLabV3](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/deeplabv3) | MMSegmentation | Y | Y | Y | Y | Y | Y | Y | N |
| [DeepLabV3+](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/deeplabv3plus) | MMSegmentation | Y | Y | Y | Y | Y | Y | Y | N |
| [Fast-SCNN](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/fastscnn)[\*static](#note) | MMSegmentation | Y | Y | Y | N | Y | Y | N | Y |
| [UNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/unet) | MMSegmentation | Y | Y | Y | Y | Y | Y | Y | Y |
| [ANN](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/ann)[\*](#note) | MMSegmentation | Y | Y | Y | N | N | N | N | N |
| [APCNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/apcnet) | MMSegmentation | Y | Y | Y | Y | N | N | N | Y |
| [BiSeNetV1](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/bisenetv1) | MMSegmentation | Y | Y | Y | Y | N | Y | N | Y |
| [BiSeNetV2](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/bisenetv2) | MMSegmentation | Y | Y | Y | Y | N | Y | N | N |
| [CGNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/cgnet) | MMSegmentation | Y | Y | Y | Y | N | Y | N | Y |
| [DMNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/dmnet) | MMSegmentation | ? | Y | N | N | N | N | N | N |
| [DNLNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/dnlnet) | MMSegmentation | ? | Y | Y | Y | N | Y | N | N |
| [EMANet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/emanet) | MMSegmentation | Y | Y | Y | N | N | Y | N | N |
| [EncNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/encnet) | MMSegmentation | Y | Y | Y | N | N | Y | N | N |
| [ERFNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/erfnet) | MMSegmentation | Y | Y | Y | Y | N | Y | N | Y |
| [FastFCN](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/fastfcn) | MMSegmentation | Y | Y | Y | Y | N | Y | N | N |
| [GCNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/gcnet) | MMSegmentation | Y | Y | Y | N | N | N | N | N |
| [ICNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/icnet)[\*](#note) | MMSegmentation | Y | Y | Y | N | N | Y | N | N |
| [ISANet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/isanet)[\*static](#note) | MMSegmentation | N | Y | Y | N | N | Y | N | Y |
| [NonLocal Net](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/nonlocal_net) | MMSegmentation | ? | Y | Y | Y | N | Y | N | N |
| [OCRNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/ocrnet) | MMSegmentation | ? | Y | Y | Y | N | Y | N | Y |
| [PointRend](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/point_rend) | MMSegmentation | Y | Y | Y | N | N | Y | N | N |
| [Semantic FPN](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/sem_fpn) | MMSegmentation | Y | Y | Y | Y | N | Y | N | Y |
| [STDC](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/stdc) | MMSegmentation | Y | Y | Y | Y | N | Y | N | Y |
| [UPerNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/upernet)[\*](#note) | MMSegmentation | ? | Y | Y | N | N | N | N | Y |
| [DANet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/danet) | MMSegmentation | ? | Y | Y | N | N | N | N | N |
| [Segmenter](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/segmenter)[\*static](#note) | MMSegmentation | Y | Y | Y | Y | N | Y | N | N |
| [SRCNN](https://github.com/open-mmlab/mmagic/tree/main/configs/srcnn) | MMagic | Y | Y | Y | Y | Y | Y | N | N |
| [ESRGAN](https://github.com/open-mmlab/mmagic/tree/main/configs/esrgan) | MMagic | Y | Y | Y | Y | Y | Y | N | N |
| [SRGAN](https://github.com/open-mmlab/mmagic/tree/main/configs/srgan_resnet) | MMagic | Y | Y | Y | Y | Y | Y | N | N |
| [SRResNet](https://github.com/open-mmlab/mmagic/tree/main/configs/srgan_resnet) | MMagic | Y | Y | Y | Y | Y | Y | N | N |
| [Real-ESRGAN](https://github.com/open-mmlab/mmagic/tree/main/configs/real_esrgan) | MMagic | Y | Y | Y | Y | Y | Y | N | N |
| [EDSR](https://github.com/open-mmlab/mmagic/tree/main/configs/edsr) | MMagic | Y | Y | Y | Y | N | Y | N | N |
| [RDN](https://github.com/open-mmlab/mmagic/tree/main/configs/rdn) | MMagic | Y | Y | Y | Y | Y | Y | N | N |
| [DBNet](https://github.com/open-mmlab/mmocr/blob/main/configs/textdet/dbnet) | MMOCR | Y | Y | Y | Y | Y | Y | Y | N |
| [DBNetpp](https://github.com/open-mmlab/mmocr/blob/main/configs/textdet/dbnetpp) | MMOCR | Y | Y | Y | ? | ? | Y | ? | N |
| [PANet](https://github.com/open-mmlab/mmocr/blob/main/configs/textdet/panet) | MMOCR | Y | Y | Y | Y | ? | Y | Y | N |
| [PSENet](https://github.com/open-mmlab/mmocr/blob/main/configs/textdet/psenet) | MMOCR | Y | Y | Y | Y | ? | Y | Y | N |
| [TextSnake](https://github.com/open-mmlab/mmocr/blob/main/configs/textdet/textsnake) | MMOCR | Y | Y | Y | Y | ? | ? | ? | N |
| [MaskRCNN](https://github.com/open-mmlab/mmocr/blob/main/configs/textdet/maskrcnn) | MMOCR | Y | Y | Y | ? | ? | ? | ? | N |
| [CRNN](https://github.com/open-mmlab/mmocr/blob/main/configs/textrecog/crnn) | MMOCR | Y | Y | Y | Y | Y | N | N | N |
| [SAR](https://github.com/open-mmlab/mmocr/blob/main/configs/textrecog/sar) | MMOCR | N | Y | N | N | N | N | N | N |
| [SATRN](https://github.com/open-mmlab/mmocr/blob/main/configs/textrecog/satrn) | MMOCR | Y | Y | Y | N | N | N | N | N |
| [ABINet](https://github.com/open-mmlab/mmocr/blob/main/configs/textrecog/abinet) | MMOCR | Y | Y | Y | N | N | N | N | N |
| [HRNet](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/backbones.html#hrnet-cvpr-2019) | MMPose | N | Y | Y | Y | N | Y | N | N |
| [MSPN](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/backbones.html#mspn-arxiv-2019) | MMPose | N | Y | Y | Y | N | Y | N | N |
| [LiteHRNet](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/backbones.html#litehrnet-cvpr-2021) | MMPose | N | Y | Y | N | N | Y | N | N |
| [Hourglass](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/backbones.html#hourglass-eccv-2016) | MMPose | N | Y | Y | Y | N | Y | N | N |
| [SimCC](https://mmpose.readthedocs.io/en/latest/model_zoo_papers/algorithms.html#simcc-eccv-2022) | MMPose | N | Y | Y | Y | N | N | N | N |
| [PointPillars](https://github.com/open-mmlab/mmdetection3d/tree/main/configs/pointpillars) | MMDetection3d | ? | Y | Y | N | N | Y | N | N |
| [CenterPoint (pillar)](https://github.com/open-mmlab/mmdetection3d/tree/main/configs/centerpoint) | MMDetection3d | ? | Y | Y | N | N | Y | N | N |
| [RotatedRetinaNet](https://github.com/open-mmlab/mmrotate/blob/main/configs/rotated_retinanet/README.md) | RotatedDetection | N | Y | Y | N | N | N | N | N |
| [Oriented RCNN](https://github.com/open-mmlab/mmrotate/blob/main/configs/oriented_rcnn/README.md) | RotatedDetection | N | Y | Y | N | N | N | N | N |
| [Gliding Vertex](https://github.com/open-mmlab/mmrotate/blob/main/configs/gliding_vertex/README.md) | RotatedDetection | N | N | Y | N | N | N | N | N |
## Note
- Tag:
- static: This model only support static export. Please use `static` deploy config, just like $MMDEPLOY_DIR/configs/mmseg/segmentation_tensorrt_static-1024x2048.py.
- SSD: When you convert SSD model, you need to use min shape deploy config just like 300x300-512x512 rather than 320x320-1344x1344, for example $MMDEPLOY_DIR/configs/mmdet/detection/detection_tensorrt_dynamic-300x300-512x512.py.
- YOLOX: YOLOX with ncnn only supports static shape.
- Swin Transformer: For TensorRT, only version 8.4+ is supported.
- SAR: Chinese text recognition model is not supported as the protobuf size of ONNX is limited.
| [ATSS](https://github.com/open-mmlab/mmdetection/tree/main/configs/atss) | Object Detection | Y | Y | N | N | Y |
| [FCOS](https://github.com/open-mmlab/mmdetection/tree/main/configs/fcos) | Object Detection | Y | Y | Y | N | Y |
| [FoveaBox](https://github.com/open-mmlab/mmdetection/tree/main/configs/foveabox) | Object Detection | Y | N | N | N | Y |
| [FSAF](https://github.com/open-mmlab/mmdetection/tree/main/configs/fsaf) | Object Detection | Y | Y | Y | Y | Y |
| [RetinaNet](https://github.com/open-mmlab/mmdetection/tree/main/configs/retinanet) | Object Detection | Y | Y | Y | Y | Y |
| [SSD](https://github.com/open-mmlab/mmdetection/tree/main/configs/ssd) | Object Detection | Y | Y | Y | N | Y |
| [VFNet](https://github.com/open-mmlab/mmdetection/tree/main/configs/vfnet) | Object Detection | N | N | N | N | Y |
| [YOLOv3](https://github.com/open-mmlab/mmdetection/tree/main/configs/yolo) | Object Detection | Y | Y | Y | N | Y |
| [YOLOX](https://github.com/open-mmlab/mmdetection/tree/main/configs/yolox) | Object Detection | Y | Y | Y | N | Y |
| [Cascade R-CNN](https://github.com/open-mmlab/mmdetection/tree/main/configs/cascade_rcnn) | Object Detection | Y | Y | N | Y | Y |
| [Faster R-CNN](https://github.com/open-mmlab/mmdetection/tree/main/configs/faster_rcnn) | Object Detection | Y | Y | Y | Y | Y |
| [Faster R-CNN + DCN](https://github.com/open-mmlab/mmdetection/tree/main/configs/faster_rcnn) | Object Detection | Y | Y | Y | Y | Y |
| [GFL](https://github.com/open-mmlab/mmdetection/tree/main/configs/gfl) | Object Detection | Y | Y | N | ? | Y |
| [RepPoints](https://github.com/open-mmlab/mmdetection/tree/main/configs/reppoints) | Object Detection | N | Y | N | ? | Y |
| [DETR](https://github.com/open-mmlab/mmdetection/tree/main/configs/detr)[\*](#nobatchinfer) | Object Detection | Y | Y | N | ? | Y |
| [Deformable DETR](https://github.com/open-mmlab/mmdetection/tree/main/configs/deformable_detr)[\*](#nobatchinfer) | Object Detection | Y | Y | N | ? | Y |
| [Conditional DETR](https://github.com/open-mmlab/mmdetection/tree/main/configs/conditional_detr)[\*](#nobatchinfer) | Object Detection | Y | Y | N | ? | Y |
| [DAB-DETR](https://github.com/open-mmlab/mmdetection/tree/main/configs/dab_detr)[\*](#nobatchinfer) | Object Detection | Y | Y | N | ? | Y |
| [DINO](https://github.com/open-mmlab/mmdetection/tree/main/configs/dino)[\*](#nobatchinfer) | Object Detection | Y | Y | N | ? | Y |
| [CenterNet](https://github.com/open-mmlab/mmdetection/tree/main/configs/centernet) | Object Detection | Y | Y | N | ? | Y |
| [RTMDet](https://github.com/open-mmlab/mmdetection/tree/main/configs/rtmdet) | Object Detection | Y | Y | N | ? | Y |
| [Cascade Mask R-CNN](https://github.com/open-mmlab/mmdetection/tree/main/configs/cascade_rcnn) | Instance Segmentation | Y | Y | N | N | Y |
| [HTC](https://github.com/open-mmlab/mmdetection/tree/main/configs/htc) | Instance Segmentation | Y | Y | N | ? | Y |
| [Mask R-CNN](https://github.com/open-mmlab/mmdetection/tree/main/configs/mask_rcnn) | Instance Segmentation | Y | Y | N | N | Y |
| [Swin Transformer](https://github.com/open-mmlab/mmdetection/tree/main/configs/swin) | Instance Segmentation | Y | Y | N | N | Y |
| [SOLO](https://github.com/open-mmlab/mmdetection/tree/main/configs/solo) | Instance Segmentation | Y | N | N | N | Y |
| [SOLOv2](https://github.com/open-mmlab/mmdetection/tree/main/configs/solov2) | Instance Segmentation | Y | N | N | N | Y |
| [CondInst](https://github.com/open-mmlab/mmdetection/tree/main/configs/condinst) | Instance Segmentation | Y | Y | N | N | N |
| [Panoptic FPN](https://github.com/open-mmlab/mmdetection/tree/main/configs/panoptic_fpn) | Panoptic Segmentation | Y | Y | N | N | N |
| [MaskFormer](https://github.com/open-mmlab/mmdetection/tree/main/configs/maskformer) | Panoptic Segmentation | Y | Y | N | N | N |
| [Mask2Former](https://github.com/open-mmlab/mmdetection/tree/main/configs/mask2former)[\*](#mask2former) | Panoptic Segmentation | Y | Y | N | N | N |
This tutorial is based on Linux systems like Ubuntu-18.04.
## Installation
It is recommended to create a virtual environment for the project.
### Install python package
Install [OpenVINO](https://docs.openvino.ai/2022.3/get_started.html). It is recommended to use the installer or install using pip.
Installation example using [pip](https://pypi.org/project/openvino-dev/):
```bash
pip install openvino-dev[onnx]==2022.3.0
```
### Download OpenVINO runtime for SDK (Optional)
If you want to use OpenVINO in SDK, you need install OpenVINO with [install_guides](https://docs.openvino.ai/2022.3/openvino_docs_install_guides_installing_openvino_from_archive_linux.html#installing-openvino-runtime).
| ATSS | `configs/atss/atss_r50_fpn_1x_coco.py` | Y |
| Cascade Mask R-CNN | `configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py` | Y |
| Cascade R-CNN | `configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py` | Y |
| Faster R-CNN | `configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py` | Y |
| FCOS | `configs/fcos/fcos_x101_64x4d_fpn_gn-head_mstrain_640-800_4x2_2x_coco.py` | Y |
| FoveaBox | `configs/foveabox/fovea_r50_fpn_4x4_1x_coco.py ` | Y |
| FSAF | `configs/fsaf/fsaf_r50_fpn_1x_coco.py` | Y |
| Mask R-CNN | `configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py` | Y |
| RetinaNet | `configs/retinanet/retinanet_r50_fpn_1x_coco.py` | Y |
| SSD | `configs/ssd/ssd300_coco.py` | Y |
| YOLOv3 | `configs/yolo/yolov3_d53_mstrain-608_273e_coco.py` | Y |
| YOLOX | `configs/yolox/yolox_tiny_8x8_300e_coco.py` | Y |
| Faster R-CNN + DCN | `configs/dcn/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py` | Y |
| VFNet | `configs/vfnet/vfnet_r50_fpn_1x_coco.py` | Y |
Notes:
- Custom operations from OpenVINO use the domain `org.openvinotoolkit`.
- For faster work in OpenVINO in the Faster-RCNN, Mask-RCNN, Cascade-RCNN, Cascade-Mask-RCNN models
the RoiAlign operation is replaced with the [ExperimentalDetectronROIFeatureExtractor](https://docs.openvino.ai/2022.3/openvino_docs_ops_detection_ExperimentalDetectronROIFeatureExtractor_6.html) operation in the ONNX graph.
- Models "VFNet" and "Faster R-CNN + DCN" use the custom "DeformableConv2D" operation.
## Deployment config
With the deployment config, you can specify additional options for the Model Optimizer.
To do this, add the necessary parameters to the `backend_config.mo_options` in the fields `args` (for parameters with values) and `flags` (for flags).
Example:
```python
backend_config=dict(
mo_options=dict(
args=dict({
'--mean_values':[0,0,0],
'--scale_values':[255,255,255],
'--data_type':'FP32',
}),
flags=['--disable_fusing'],
)
)
```
Information about the possible parameters for the Model Optimizer can be found in the [documentation](https://docs.openvino.ai/latest/openvino_docs_MO_DG_prepare_model_convert_model_Converting_Model.html).
## Troubleshooting
- ImportError: libpython3.7m.so.1.0: cannot open shared object file: No such file or directory
To resolve missing external dependency on Ubuntu\*, execute the following command:
TRT 7.2.1切换到使用cuBLASLt(以前是cuBLAS)。cuBLASLt是SM版本>= 7.0的默认选择。但是，您可能需要CUDA-10.2补丁1(2020年8月26日发布)来解决一些cuBLASLt问题。如果不想升级，另一个选择是使用新的TacticSource API并禁用cuBLASLt策略。
