SHHA train about gcc-sfcn

[liyunsheng13]

I cannot reproduce the result for SHTA either. When I try to unsupervised case, I can only get MAE of ~230 if I train the model only with the filtered synthetic data (~2000 images). I have a big performance gap compared to the reported result (MAE: 160). Do you use different learning parameters?

[yanfangfangfang]

with the batch size=2, deal with different size in two ways,1,crop to minsize,2 expand to maxsize but the result was not change much .the result in the paper of [Learning from Synthetic Data for Crowd Counting in the Wild(cvpr2019)]SHTA:64.8/107.5

.i reproduce this part also with pre-train modle on GCC,but got worse result.can you release your code about this part