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my system is using simple cpu please help needed
  • MuhammadHashir28
  • Opened 
    on May 24, 2024
  • #37

I am using the model for segmentation of human images. I am following the instructions python exp/inference/inference.py --loadmodel data\pretrained_model\inference.pth --img_path ./img/00891_00_resize.jpg ...
  • 777VaishaliDev
  • 1
  • Opened 
    on Mar 3, 2024
  • #36

In the ReadMe file, for dataset preparation, it is said that You need to download the human parsing dataset, prepare the images and store in /data/datasets/dataset_name/. We recommend to symlink the path ...
  • avigoen
  • Opened 
    on Oct 18, 2023
  • #35

Hi , Please help me to resolve the issue moment i run the program i get this error new_node1 = torch.matmul(res_feature_after_view1, self.node_fea_for_res) torch.cuda.OutOfMemoryError: CUDA out of memory. ...
  • jeevitesh
  • Opened 
    on Oct 1, 2023
  • #34

@Gaoyiminggithub @Engineering-Course Hello sir, I would like to ask if this model of inference.pth can use only the CPU?
  • Trisun0x0
  • Opened 
    on Feb 9, 2023
  • #33

Can t approch to DataSet and PreTrained model.. Please approve the access
  • maizer2
  • Opened 
    on Aug 19, 2022
  • #32

Can you share the Pascal pretrained model-----ascal_base_trained.pth?thanks!
  • xddlj
  • Opened 
    on Jul 27, 2022
  • #31

I have found three sets of weights from these issues: https://github.com/Gaoyiminggithub/Graphonomy/issues/29#issuecomment-1016684361 https://github.com/Gaoyiminggithub/Graphonomy/issues/16#issuecomment-522321273 ...
  • atabakd
  • 1
  • Opened 
    on Apr 3, 2022
  • #30

Hi, thanks for your work. Would you please update the model weight of the universal model? It seems that the google link is invalid and the file was removed. Thanks!
  • JcqJcq
  • 1
  • Opened 
    on Dec 12, 2021
  • #29

Hello Thanks for the awesome work In the README, there are link to datasets that can be downloaded via google drive, what are the licenses for using these datasets ? b.r
  • AlkaSaliss
  • Opened 
    on Jun 24, 2021
  • #28
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