YOLO_v3

YOLO_v3 implemented with tensorflow

• Group Normalization
  
• Focal loss
  
• Soft-NMS(no useful)
  
• data augmentation
  
• multi-scale training
  
• Single-Shot Object Detection with Enriched Semantics
  
• SNIPER
  

mAP on VOC2007

Reference:

paper:
YOLOv3: An Incremental Improvement
Foca Loss for Dense Object Detection
Group Normalization
Single-Shot Object Detection with Enriched Semantics
SNIPER: Efficient Multi-Scale Training

mAP calculate: mean Average Precision

Requirements

. Tensorflow
. Opencv
. Python
. Numpy