Paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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Readme

| English

PaddleDetectionPaddlePaddle|

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PaddleDetection

``CPU|

``

YOLOv8RT-DETR

PaddleDetection

PaddleDetection``

PaddleDetection2D/3D``

|

PaddleDetectionPP-YOLOE+PP-PicoDetPP-TinyPosePP-HumanV2PP-Vehicle``|

PaddleDetectionAI---``







FAQ

Backbones Necks Loss Common Data Augmentation
  • Post-processing
  • Training
  • Common
  • 2D Detection Multi Object Tracking KeyPoint Detection Others
  • Instance Segmentation
  • Face Detection
  • Semi-Supervised Detection
  • 3D Detection
  • Vehicle Analysis Toolbox
  • Human Analysis Toolbox
  • Sport Analysis Toolbox
  • COCOmAPTesla V100(FPS)

    ()
    • ViTViT-Cascade-Faster-RCNNCOCOmAP55.7%
    • Cascade-Faster-RCNNCascade-Faster-RCNN-ResNet50vd-DCNPaddleDetectionCOCOmAP47.8%20FPS
    • PP-YOLOEPP-YOLO v2LCOCOmAP51.6%Tesla V10078.1FPS
    • PP-YOLOE+PPOLOELCOCOmAP53.3%Tesla V10078.1FPS
    • YOLOXYOLOv5PaddleDetectionYOLOv5PaddleYOLOPaddleYOLO_MODEL

    COCOmAP865(FPS)

    ()
    • 865(4xA77+4xA55)batch size1, 4NCNNMobileDetBenchmark
    • PP-PicoDetPP-YOLO-TinyPaddleDetectionPaddleDetection

    |

    PaddleDetection---

    PP

    PP-YOLOE

    ()

    PP-YOLOEPP-YOLOv2Anchor-freeYOLOPP-YOLOEDeformable ConvolutionMatrix NMSobj365

    ``PP-YOLOE

    ``arXiv

    ()
    COCOmAP V100 TensorRT FP16(FPS)
    PP-YOLOE+_l 53.3 149.2

    ``

    ()
    5 PP-YOLOE+
    ExDark10 PP-YOLOE+
    PCB PKU-Market-PCBPCB6PCB PP-YOLOE+

    PP-YOLOE-R

    ()

    PP-YOLOE-RAnchor-freePP-YOLOE+PP-YOLOE-Rs/m/l/xDOTA 1.0PP-YOLOE-R-lPP-YOLOE-R-x78.14mAP78.28 mAPPP-YOLOE-R-lPP-YOLOE-R-x80.02mAP80.73 mAPAnchor-freeAnchor-basedPP-YOLOE-RDeformable ConvolutionRotated RoI Align

    ``PP-YOLOE-R

    ``arXiv

    ()
    Backbone mAP V100 TRT FP16 (FPS) RTX 2080 Ti TRT FP16 (FPS) Params (M) FLOPs (G) GPU GPU
    PP-YOLOE-R-l CRN-l 80.02 69.7 48.3 53.29 281.65 3x oc MS+RR 4 2 model config

    ``

    ()
    PP-YOLOE-R1095mAP PP-YOLOE-R

    PP-YOLOE-SOD

    ()

    PP-YOLOE-SOD(Small Object Detection)PaddleDetectionVisDrone-DET38.5mAPSOTA

    ``PP-YOLOE-SOD

    () - VisDrone
    COCOAPI mAPval
    0.5:0.95
    COCOAPI mAPval
    0.5
    COCOAPI mAPtest_dev
    0.5:0.95
    COCOAPI mAPtest_dev
    0.5
    MatlabAPI mAPtest_dev
    0.5:0.95
    MatlabAPI mAPtest_dev
    0.5
    PP-YOLOE+_SOD-l 31.9 52.1 25.6 43.5 30.25 51.18

    ``

    ()
    PP-YOLOE-SOD PP-YOLOE-SOD

    PP-PicoDet

    ()

    PP-PicoDetSOTA

    ``PP-PicoDet

    ``arXiv

    ()
    COCOmAP 865 (FPS)
    PicoDet-L 36.1 39.7

    ``

    ()
    PP-PicoDet

    PP-Tracking

    ()

    PaddleDetectionPP-TrackingPaddlePaddle PP-Tracking(MOT)(MTMCT)APIGUIPythonC++LinuxNVIDIA Jetson

    ``PP-Tracking

    ()
    (FPS)
    ByteTrack SDE MOT-17 test: 78.4 -
    FairMOT JDE MOT-16 test: 75.0 -
    OC-SORT SDE MOT-17 half val: 75.5 -
    ()
    PP-Tracking

    PP-TinyPose

    ()

    PaddleDetection Top-Down Bottom-Up PaddleDetection PP-TinyPose

    ``PP-TinyPose

    ()
    COCOAP (FPS)
    PP-TinyPose
    256x192
    68.8 865 : 158.7 FPS

    ``

    ()
    AI PP-TinyPose

    PP-Human

    ()

    PaddleDetection///TensorRTT4 PP-Human26ReID

    ``PP-Human

    ()
    T4 TensorRT FP16: FPS
    39.8 182M
    31.4 182M
    117.6
    182M
    86M
    100

    182M
    101M
    21.8M
    31.4 182M
    50.8 90M
    340.1
    id
    182M
    id27M
    166.7
    id
    182M
    id45M

    ``

    ()
    PP-Human+ PP-Human v2
    PaddleVideoPaddleDetectionPP-Human PP-Human
    PP-HumanPP-Human 1. (2. PP-Human

    PP-Vehicle

    ()

    PaddleDetection///TensorRTT4 PP-Vehicle

    ``PP-Vehicle

    ()
    T4 TensorRT FP16: (FPS)
    38.9 182M
    25 182M
    213.7
    3.9M
    12M
    136.8 7.2M

    ``

    ()
    PP-Vehicle PP-Vehicle

    PaddleDetection--- AI-Studio

    ``

    PaddleDetection

    ``

    Apache 2.0 license

    @misc{ppdet2019,
    title={PaddleDetection, Object detection and instance segmentation toolkit based on PaddlePaddle.},
    author={PaddlePaddle Authors},
    howpublished = {\url{https://github.com/PaddlePaddle/PaddleDetection}},
    year={2019}
    }
    
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