Zhenjun Zhao

Results 20 comments of Zhenjun Zhao

> @dbruggner Have you tried using aruco detection function in Opencv3? I can detect markers using detectMarkers() function in opencv3, while cannot detect any markers with different marker sizes either....

Hi, @LiShuaixin . Have you been able to detect the markers? I trying the package and also unable to detect anything

@ZhengPan2014 Hi, have you been able to detect the markers? I trying the package and also unable to detect anything

@narutojxl Many thanks. In addition, I encounter an another problem. I am currently doing indoor UAV localization using multiple Aruco marker information, but I encounter a problem about the pose...

I am a co-founder of a fashion+AI company. I found this repository very helpful. Are you interested in talking in detail?

Thanks for your prompt reply. I have dropped you an email.

Thanks very much for your help. According to this https://github.com/rpautrat/SuperPoint/issues/164, I comment the following three lines: https://github.com/shaofengzeng/SuperPoint-Pytorch/blob/6e5c6587311cd4f98f9a5b61e84731555778c958/solver/loss.py#L126 ``` dot_product_desc = F.relu(dot_product_desc) ##l2_normalization dot_product_desc = torch.reshape(F.normalize(torch.reshape(dot_product_desc, [batch_size, Hc, Wc, Hc *...

Thanks very much for your help and explanation. Can you give me some advice or trick for improving the convergence of the descriptor loss?

> > Thanks very much for your help. According to this [rpautrat/SuperPoint#164](https://github.com/rpautrat/SuperPoint/issues/164), I comment the following three lines: > > https://github.com/shaofengzeng/SuperPoint-Pytorch/blob/6e5c6587311cd4f98f9a5b61e84731555778c958/solver/loss.py#L126 > > > > ``` > > dot_product_desc =...