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Implemented YOLOv3 with Tensorflow 2
使用yolov3训练的TT100k(交通标志)模型
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
基于TensorFlow2.x实现的YOLOv3,支持在自定义数据集上训练,支持保存为TFLite模型。A tensorflow2 implementation of YOLO_V3(Supports training on custom dataset and saving as tflite models.).
Traffic sign detection 交通标志、信号灯检测,请加Q群交流:904484709
这是一个yolo4-tf2(tensorflow2)的源码,可以用于训练自己的模型。
Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中
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