更换文档检测模型
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paddle_detection/docs/MODEL_ZOO_cn.md
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# 模型库和基线
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# 内容
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- [基础设置](#基础设置)
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- [测试环境](#测试环境)
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- [通用设置](#通用设置)
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- [训练策略](#训练策略)
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- [ImageNet预训练模型](#ImageNet预训练模型)
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- [基线](#基线)
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- [目标检测](#目标检测)
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- [实例分割](#实例分割)
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- [PaddleYOLO](#PaddleYOLO)
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- [人脸检测](#人脸检测)
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- [旋转框检测](#旋转框检测)
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- [关键点检测](#关键点检测)
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- [多目标跟踪](#多目标跟踪)
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# 基础设置
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## 测试环境
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- Python 3.7
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- PaddlePaddle 每日版本
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- CUDA 10.1
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- cuDNN 7.5
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- NCCL 2.4.8
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## 通用设置
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- 所有模型均在COCO17数据集中训练和测试。
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- [YOLOv5](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/yolov5)、[YOLOv6](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/yolov6)、[YOLOv7](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/yolov7)和[YOLOv8](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/yolov8)这几类模型的代码在[PaddleYOLO](https://github.com/PaddlePaddle/PaddleYOLO)中，**PaddleYOLO库开源协议为GPL 3.0**。
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- 除非特殊说明，所有ResNet骨干网络采用[ResNet-B](https://arxiv.org/pdf/1812.01187)结构。
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- **推理时间(fps)**: 推理时间是在一张Tesla V100的GPU上通过'tools/eval.py'测试所有验证集得到，单位是fps(图片数/秒), cuDNN版本是7.5，包括数据加载、网络前向执行和后处理, batch size是1。
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## 训练策略
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- 我们采用和[Detectron](https://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md#training-schedules)相同的训练策略。
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- 1x 策略表示：在总batch size为8时，初始学习率为0.01，在8 epoch和11 epoch后学习率分别下降10倍，最终训练12 epoch。
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- 2x 策略为1x策略的两倍，同时学习率调整的epoch数位置也为1x的两倍。
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## ImageNet预训练模型
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Paddle提供基于ImageNet的骨架网络预训练模型。所有预训练模型均通过标准的Imagenet-1k数据集训练得到，ResNet和MobileNet等是采用余弦学习率调整策略或SSLD知识蒸馏训练得到的高精度预训练模型，可在[PaddleClas](https://github.com/PaddlePaddle/PaddleClas)查看模型细节。
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# 基线
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## 目标检测
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### Faster R-CNN
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请参考[Faster R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/faster_rcnn/)
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### YOLOv3
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请参考[YOLOv3](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolov3/)
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### PP-YOLOE/PP-YOLOE+
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请参考[PP-YOLOE](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyoloe/)
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### PP-YOLO/PP-YOLOv2
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请参考[PP-YOLO](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ppyolo/)
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### PicoDet
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请参考[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet)
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### RetinaNet
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请参考[RetinaNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/retinanet/)
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### Cascade R-CNN
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请参考[Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn)
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### SSD/SSDLite
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请参考[SSD](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ssd/)
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### FCOS
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请参考[FCOS](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/fcos/)
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### CenterNet
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请参考[CenterNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/)
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### TTFNet/PAFNet
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请参考[TTFNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/ttfnet/)
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### Group Normalization
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请参考[Group Normalization](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gn/)
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### Deformable ConvNets v2
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请参考[Deformable ConvNets v2](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dcn/)
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### HRNets
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请参考[HRNets](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/hrnet/)
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### Res2Net
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请参考[Res2Net](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/res2net/)
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### ConvNeXt
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请参考[ConvNeXt](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/convnext/)
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### GFL
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请参考[GFL](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/gfl)
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### TOOD
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请参考[TOOD](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/tood)
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### PSS-DET(RCNN-Enhance)
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请参考[PSS-DET](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rcnn_enhance)
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### DETR
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请参考[DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/detr)
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### Deformable DETR
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请参考[Deformable DETR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/deformable_detr)
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### Sparse R-CNN
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请参考[Sparse R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/sparse_rcnn)
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### Vision Transformer
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请参考[Vision Transformer](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/vitdet)
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### DINO
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请参考[DINO](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/dino)
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### YOLOX
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请参考[YOLOX](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolox)
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### YOLOF
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请参考[YOLOF](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/yolof)
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## 实例分割
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### Mask R-CNN
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请参考[Mask R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mask_rcnn/)
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### Cascade R-CNN
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请参考[Cascade R-CNN](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/cascade_rcnn)
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### SOLOv2
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请参考[SOLOv2](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/solov2/)
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### QueryInst
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请参考[QueryInst](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/queryinst)
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## [PaddleYOLO](https://github.com/PaddlePaddle/PaddleYOLO)
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请参考[PaddleYOLO模型库](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/docs/MODEL_ZOO_cn.md)
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### YOLOv5
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请参考[YOLOv5](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/yolov5)
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### YOLOv6(v3.0)
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请参考[YOLOv6](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/yolov6)
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### YOLOv7
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请参考[YOLOv7](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/yolov7)
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### YOLOv8
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请参考[YOLOv8](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/yolov8)
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### RTMDet
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请参考[RTMDet](https://github.com/PaddlePaddle/PaddleYOLO/tree/develop/configs/rtmdet)
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## 人脸检测
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请参考[人脸检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection)
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### BlazeFace
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请参考[BlazeFace](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/face_detection/)
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## 旋转框检测
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请参考[旋转框检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate)
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### PP-YOLOE-R
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请参考[PP-YOLOE-R](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/ppyoloe_r)
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### FCOSR
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请参考[FCOSR](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/fcosr)
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### S2ANet
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请参考[S2ANet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/rotate/s2anet)
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## 关键点检测
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请参考[关键点检测模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint)
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### PP-TinyPose
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请参考[PP-TinyPose](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/tiny_pose)
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### HRNet
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请参考[HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/hrnet)
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### Lite-HRNet
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请参考[Lite-HRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/lite_hrnet)
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### HigherHRNet
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请参考[HigherHRNet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/higherhrnet)
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## 多目标跟踪
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请参考[多目标跟踪模型库](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot)
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### DeepSORT
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请参考[DeepSORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort)
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### ByteTrack
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请参考[ByteTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/bytetrack)
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### OC-SORT
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请参考[OC-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/ocsort)
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### BoT-SORT
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请参考[BoT-SORT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/botsort)
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### CenterTrack
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请参考[CenterTrack](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/centertrack)
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### FairMOT/MC-FairMOT
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请参考[FairMOT](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot)
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### JDE
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请参考[JDE](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/jde)
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