Xiangpeng Yang

> You can try to use my fork : > https://github.com/vlad3996/lsc-cnn  this is my test result ,why

whether this means just add can in sfan is not suitable

what is more, in your exp M-SFANet w/o CAN(this means just sfan) the MAE on SHA is 62.41, however the sfan on sha could achieve 59(my exp) reported 60 ,...

same as train.py in sfanet

can not load your pretrain_pth error like this: Traceback (most recent call last): File "test.py", line 40, in model.load_state_dict(torch.load(model_path), device) File "/opt/conda/envs/torch17/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1052, in load_state_dict self.__class__.__name__, "\n\t".join(error_msgs))) RuntimeError: Error(s)...

how could you set crop size to 400x400 when i process the shha data according to the bayesian code, erroe happen like this : File "/home/../.jupyter/Variations-of-SFANet-for-Crowd-Counting-master/datasets/crowd.py", line 91, in train_transform...

> I have trained 1000 epoche in shanghaiTech part A samples using the M_SFANet，but the test mea is 68.08，the learning rate used 5e-4, the batch size used 8, and the...

3qu for clarification, another problem is how to get the average prediction of two models(M-segNet and M-sfanet）,just to train the two model on the same dataset and average the prediction...

the published code do not have CANet branch, not coordinated with the paper report, the baseline of SFANet is 59 according to my exp, however, when I add ASPP(means using...

Hi han tao: I just tried a linear function, I wonder whether the parameter of the linear active function is learnable(the weight and the bias), actually, when I tried an...