Skip to content

no file named params_no_priori.pkl #3

Open

Description

@gittigxuy

PATH_MODEL_PARAMS = './params/params_no_priori.pkl'
where could I find this file?

Activity

  1. James-Yip commented on Aug 18, 2018

    @James-Yip
    Owner

    Sorry, I didn't upload the trained parameters since it's about 1GB and my result is not good enough as the paper.

  2. gittigxuy commented on Aug 18, 2018

    @gittigxuy
    Author

    I just want to test this repo,could you please send this file to me?my email is1262485779@qq.com,or you could share this file by baidu netdisk,thanks

  3. James-Yip commented on Aug 19, 2018

    @James-Yip
    Owner
  4. gittigxuy commented on Aug 19, 2018

    @gittigxuy
    Author

    how about the pytorch version,does it support pytorch0.4?

  5. James-Yip commented on Aug 19, 2018

    @James-Yip
    Owner

    Yes. This is a pytorch0.4 implementation.

  6. xuezu29 commented on Aug 29, 2018

    @xuezu29

    Hi, could you please send 'params_no_priori.pkl' to me?my email is 675175598@qq.com,the baidu netdisk links have expired or share baidu netdisk links again, thanks a lot.

  7. xinyaojiejie commented on Oct 4, 2018

    @xinyaojiejie

    Hi , could you share me the baidu disk link for the pretrained model? I click the link but it says that the sharing is outdated. My email is : 1009143576@qq.com. Thanks a lot!!

  8. noprohuangqi commented on Mar 18, 2019

    @noprohuangqi

    can you share this file again? Including baidu disk.Thanks.

  9. James-Yip commented on Mar 18, 2019

    @James-Yip
    Owner
  10. noprohuangqi commented on Mar 18, 2019

    @noprohuangqi

    @noprohuangqi
    链接: https://pan.baidu.com/s/15Br7Hhn_no-WBe1D5kXNSA 提取码: y8an

    Thanks for your reply. Can I have a talk with you about this paper. My wechat number is hq2365528.

  11. minicraby commented on Oct 16, 2019

    @minicraby

    @noprohuangqi
    链接: https://pan.baidu.com/s/15Br7Hhn_no-WBe1D5kXNSA 提取码: y8an

    Thanks for your share. Could you please help to figure it out that how is the file generated and what is it for? If I'd like to run the code with my own dataset instead of those in the paper,should I generate a new pkl file for it?

  12. James-Yip commented on Oct 16, 2019

    @James-Yip
    Owner

    @noprohuangqi
    链接: https://pan.baidu.com/s/15Br7Hhn_no-WBe1D5kXNSA 提取码: y8an

    Thanks for your share. Could you please help to figure it out that how is the file generated and what is it for? If I'd like to run the code with my own dataset instead of those in the paper,should I generate a new pkl file for it?

    There're trained parameters inside the pkl file generated by torch.save.
    To train the model on your own dataset, you need to modify the Dataset part in 'main.py', and run python train.py in command line.
    After training, you could replace the constant PATH_MODEL_PARAMS in main.py with your own pkl file path for further training or testing.
    Hope this helps!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions