https://github.com/PaddlePaddle/PaddleDetection

套件结构概览:

Architectures Backbones Components Data Augmentation

- Two-Stage Detection
- - Faster RCNN
  • FPN
  • Cascade-RCNN
  • Libra RCNN
  • Hybrid Task RCNN
  • PSS-Det RCNN
    - One-Stage Detection
    - - RetinaNet
  • YOLOv3
  • YOLOv4
  • PP-YOLO
  • SSD
    - Anchor Free
    - - CornerNet-Squeeze
  • FCOS
  • TTFNet
    - Instance Segmentation
    - - Mask RCNN
  • SOLOv2
    - Face-Detction
    - - FaceBoxes
  • BlazeFace
  • BlazeFace-NAS
    |
    - ResNet(&vd)
    - ResNeXt(&vd)
    - SENet
    - Res2Net
    - HRNet
    - Hourglass
    - CBNet
    - GCNet
    - DarkNet
    - CSPDarkNet
    - VGG
    - MobileNetv1/v3
    - GhostNet
    - Efficientnet
    |
    - Common
    - - Sync-BN
  • Group Norm
  • DCNv2
  • Non-local
    - FPN
    - - BiFPN
  • BFP
  • HRFPN
  • ACFPN
    - Loss
    - - Smooth-L1
  • GIoU/DIoU/CIoU
  • IoUAware
    - Post-processing
    - - SoftNMS
  • MatrixNMS
    - Speed
    - - FP16 training
  • Multi-machine training
    |
    - Resize
    - Flipping
    - Expand
    - Crop
    - Color Distort
    - Random Erasing
    - Mixup
    - Cutmix
    - Grid Mask
    - Auto Augment
    |