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a tensorflow implement dsfd face detector

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Is it possible to add a license file to this project?

I want to convert Lightnet_0.75 to tflite and quant to deploy it on NPU. input_shape=(320,320,3) saved_model_dir='./model/Lightnet_0.75/detector' saved_model_dir_for_lite=saved_model_dir+'lite_pre' ### we build the tflite version detect firstly, then save it model=DSFDLite(input_shape) model.load_weights(saved_model_dir+'/variables/variables')...

Hello folks How to convert dsfd to tensorRT or is there any way to optimize inference times.

https://github.com/610265158/DSFD-tensorflow/blob/5aac172d5b8588bb37b813eda28edbb321465b12/lib/dataset/dataietr.py#L114 because,you just set constant value in small face region, but box not remove

您好,我将您的开源代码clone下来以后,试图运行train.py进行尝试,但是似乎在dataiter.py的DsfdDataIter类下出现了些问题,首先是未定义该类的__len__方法,我试着添加了该方法后,在DataIter类下build_iter方法下的ds = MultiProcessPrefetchData(ds, self.prefetch_size, self.process_num)语句又发生了进程间冲突的报错,因此想请教是代码本身存在问题还是我个人操作出现了错误,谢谢~

Traceback (most recent call last): File "vis.py", line 10, in detector = FaceDetector(['./model/detector.pb']) File "D:\DSFD-tensorflow\lib\core\api\face_detector.py", line 19, in __init__ self._graph, self._sess = self.init_model(model_path) File "D:\DSFD-tensorflow\lib\core\api\face_detector.py", line 143, in init_model model...

运行一段时间会出现 exit code 137,被kill掉,查找原因是内存不足,进一步发现,随着程序的运行,内存消化会不断增长,怀疑是某个地方没有及时释放。 运行环境:ubuntu20 py3.6 tf2.0.0 在pycharm内运行的

你好! 我看里面有shufflenet和mobilenet作为主干网络,那是不是应该可以多分类呢,比如(飞机,汽车,船......)

请问一下,使用动物图片进行检测的时候误检率非常高,特别是对于灵长类动物,误检率甚至达到了50%,这是为什么呢?