yeyu
yeyu
@CoinCheung Still do not understand, why there are so strange requirements. Why did he do it?
@CoinCheung Oh, I'll check again. I looked at the images and labels before, and I felt that some of the images of cars were ignored. Maybe there are many kinds...
In addition, before getting the precision here, I used my own environment, so the code was modified as follows: pytorch1.2.0 syncbatchnorm----->nn.batchnorm batch_size =8 gpu_nums =1,Only one GPU train_data_szie =640*480 I...
pytorch1.2.0 ubuntu18.04 cuda9.0 batch_size =6 gpu_nums =1,Only one GPU train_data_szie =1024*1024 max_iter=160000 I feel that the author's code portability is very good. I use both pytorch 1.0 and pytorch 1.2....
@dronefreak I'm talking about bisenetv2, not bisenetv1. Friend, are you sure you have reproduced the effect of bisenetv2? The channel number of Ge module in the network structure in the...
@dronefreak Some modules of bisenetv2 are not explained in detail. For example, the number of channels in the Ge module. I implement according to my own understanding, and the result...
@18022443868 In this paper, the channel number of Ge module branches in Figure 5 (c) is not clear.
@CoinCheung Great God, are you interested in this paper?
@18022443868 I think it's hard. In addition, I train slower than V1, I don't know why?
@dronefreak Good luck, hope you can succeed, and then share your experience.