Kris

Results 8 comments of Kris

> > where to remove,the module is in the model 07-CSRNet_all_ep_39_mae_32.6_mse_74.3.pth? > > try this: > > ``` > from collections import OrderedDict > import torch > > model_in =...

> @MingboHong Hi. I submit this issue to ask what is the configuration of RetinaNet_SPPNet reported in your paper. Would you mind sharing it? Sry, I lost those configurations after...

> Hello everyone! I have the mistake File "tools/train.py", line 189, in main() File "tools/train.py", line 133, in main logger = get_root_logger(log_file=log_file, log_level=cfg.log_level) File "/opt/conda/envs/ssp/lib/python3.7/site-packages/mmcv/utils/config.py", line 507, in **getattr** return...

> where is the code of dice loss? https://github.com/MingboHong/SSPNet/blob/master/mmdet/models/module/heatmap.py seg_loss

H_flow_f = (self.basis * weight_f).sum(1).reshape(batch_size, 2, h_patch, w_patch) -----> H_flow_f = (self.basis.to(weight_f.device) * weight_f).sum(1).reshape(batch_size, 2, h_patch, w_patch) H_flow_b = (self.basis * weight_b).sum(1).reshape(batch_size, 2, h_patch, w_patch) -----> H_flow_b = (self.basis.to(weight_b.device) *...

> ![image](https://user-images.githubusercontent.com/61302913/251803415-368b752b-d3d0-4d3a-b292-a9144d873535.png) Im just curious how could it crop 384x512 patch from a 320x640 picture Thanks for the correction, the test image size is 360X640. In training, the image size...

Hi, Thank you for your interest~~ You need to prepare the Deep Homography Dataset (for more detail can be found at readme.md) or you can customize your test dataset. 1....