The pretrained model is not in accordance with resSFCN about gcc-sfcn HOT 1 CLOSED

1. some layers in resSFCN do not the learnable parameters, such as ReLU, Pooling, etc. so the length of save weights is not same as that of the graph in the code.
2. you could directly run our code, which will work well.
   __C.TRAIN.PRE_GCC_MODEL = './pre/Pretrained_GCC.pth': finetune the model using GCC pretrained model
   __C.TRAIN.PRE_GCC_MODEL = '': finetune the model using ImgNt pretrained model
3. for shanghai b, we will release the code in C^3 Framework. We will only focus on the implementation on the new framework.
   If you want to finetune the model on shanghai B, you should replace the hyper parameters as follows:
   __C.DATA.MEAN_STD and __C.DATA.DATA_PATH.

Other parameters should fixed.

from gcc-sfcn.