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smart_traffic_system's Introduction

smart_traffic_system

功能

目标检测及追踪,包括车辆、行人、交通灯、摩托车等类别

车牌识别

车辆实时速度检测

路口流量统计

违规行为检测

环境

imutils=0.5.3=pypi_0 keras=2.3.1=pypi_0 matplotlib=3.2.1=pypi_0 numpy=1.18.4=pypi_0 opencv-python=4.2.0.34=pypi_0 pillow=7.1.2=pypi_0 python=3.6.10=h7579374_2 scikit-learn=0.23.1=pypi_0 scipy=1.4.1=pypi_0 tensorboard=2.2.1=pypi_0 tensorflow=2.0.0=pypi_0 tensorflow-estimator=2.1.0=pypi_0 tensorflow-gpu=2.2.0=pypi_0

实现

yolov4检测+deepsort追踪

数据集:目标检测使用coco数据集训练,识别车辆等六个分类,车牌使用ccpd数据集训练

model_data和测试视频有空传网盘

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