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A re-implement of bisenet by tensorflow

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Dear Author Are you still studying at HuNan University, 我感觉你的BiseNet改得不错,之前看到的很多版本都是end_point[pool5] 进行一次ARM后再进行全局池化,但是明显论文不是那样的。你样改是正确的,具体超参数作者也没提供,所以他如何做到那么高的miou也还有一些疑问。 但是我只是想先把你这个完全实施,然后我现在的FPS基本上是30,请问你自己跑出来是多少呢,还有一个小愿望,你的日志文件可以提供吗?

I want to train on my own Dataset (100 files png for test train road segmentation). I have split my data and create file.csv like CamVid, edit the num_classes on...

I try to use your models frame to train cityscapes, but the loss become very large. Finetuning use your CKPT is also have the same issues. Can you tell me...

[-](url) I'm running on predict.py on colab (because i don't have GPU), colab cannot run the cv2.imshow() so i change the code like that: plt.imshow('Image', predict) #cv2.waitKey(0) plt.imsave('./example/1.png', predict) -...

Hello, thank you for your contribution! Can u provide the hardware requirements for this model?

I need this model for pb,can you supply the method of tansfering pb?

would you please share a xception39 pretrained model? I wanna train the biseg model on my own dataset.I search the internet,but can't get one. thank you .

I start training with train.py.but the process is lengthy since there is only one GPU involved in the training process.SO how to start the multi-gpu training .I have 8 gpus...