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songwsx's repositories

利用YOLOv3结合行人重识别模型，实现行人的检测识别，查找特定行人

Language:PythonMIT523 9 29

设计的轻量级RFB进行行人检测，AP达到0.7993，参数量仅有3.1MB，200 FPS

Language:Python174 10 9

重新设计的RFBNet300,模型参数量只有0.99MB，AP达到0.78，200FPS

Language:Python99 7 10

数钢筋demo，IOU 0.7 下，AP 90.6。训练只要不到十分钟，可以非常愉快的玩耍

Language:Python33 3 2

利用RFB进行行人检测的基线代码

Language:Python16 1 1

一款超轻量级通用人脸检测模型，模型参数量1MB，320x240输入下计算量仅90MFlops，适用于边缘计算设备、低算力设备以及PC

Language:PythonMIT7 10

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

Language:PythonMIT2 10

TensorRT person tracking RFBNet300

Language:C++MIT1 10

Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes

Language:PythonApache-2.0010