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Objects dectection with tiny yolov3
This project forked from yuanzhedong/tiny_yolov3
Objects dectection with tiny yolov3
主要参考:qqwweee/keras-yolo3与YunYang1994/tensorflow-yolov3 内容说明:1、更改上述2位作者yolov3的网络结构为tiny_yolov3,但并不是原始的tiny_yolov3,原始的结构对于我的需求来说还是太大。 2、keras版本的tiny_yolov3可以使用opencv调用dnn模块查看效果,tensorflow版本的tiny_yolov3提供python和win_c版本的模型调用。 3、keras版本的tiny_yolov3可使用的模型格式包括h5与weights,tensorflow版本的tiny_yolov3可使用的模型格式包括ckpt、pb、tflite 4、关于上述2位作者的原始代码在转换tflite时遇到的问题:keras版本中存在tflite转换op不支持的操作,改起来极其费劲,所以直接用opencv调用。tensorflow版本存在的问题共2处:tf.newaxis以及tensor维数问题。(结论是要保存的网络节点op中,不要使用tf.newaxis扩维,使用tf.expand_dims实现扩维即可;tensor控制在4维以内,因为转换tflite时,官方最大只支持4维op。tiny_yolov3已更改) 5、关于2个版本的tiny_yolov3结果,由于我的应用场景比较简单,所以小的网络已经够用。opencv版本的运行时间是tflite版本的2倍多,效果无差异。
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