Giter Club home page Giter Club logo

sinc's People

Contributors

athn-nik avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar

sinc's Issues

omegaconf.errors.InterpolationKeyError

Thanks for your great work!
However, when I run your code follow the instruction, I meet the error below. It seems to be a problem related to the config file. How can I solve the problem?

omegaconf.errors.InterpolationKeyError: Interpolation key 'callback.render.nvids_to_save' not found

Training using synthetic data

Hi, thank you for releasing the great work! I am a little confused on what data the model is being trained on in the provided code and instruction. Looking at the instruction, it appears that the model is only trained on real data and not on the synthetic GPT-3 guided compositional motion data. Would it be possible for you to provide the model trained on both real and synthetic data? If not, would it be possible for you to provide the synthetic data and instructions on how I can train the model on both real and synthetic data shown in the paper. Out of curiosity, how long does training take? Thank you!

private api key

Hey! It looks like your private api key has been uploaded to git, I recommend to remove it :)

Missing file for state_dict: checkpoints/latest-epoch=599.ckpt

Hi,
I'm tryng to run Step 2 (b) but I don't understand where i can find the file ".../latest-epoch=599.ckpt" required to initiate the state_dict.
Can you explain how I can obtain it?

Exception has occurred: FileNotFoundError
[Errno 2] No such file or directory: '/is/cluster/fast/nathanasiou/logs/sinc/sinc-arxiv/temos-bs64x1-scheduler/babel-amass/checkpoints/latest-epoch=599.ckpt'
File "/andromeda/personal/lmandelli/sinc/train.py", line 121, in train
state_dict = torch.load('/is/cluster/fast/nathanasiou/logs/sinc/sinc-arxiv/temos-bs64x1-scheduler/babel-amass/checkpoints/latest-epoch=599.ckpt', map_location='cpu')
File "/andromeda/personal/lmandelli/sinc/train.py", line 50, in _train
return train(cfg, ckpt_ft)
File "/andromeda/personal/lmandelli/sinc/train.py", line 195, in
_train()
FileNotFoundError: [Errno 2] No such file or directory: '/is/cluster/fast/nathanasiou/logs/sinc/sinc-arxiv/temos-bs64x1-scheduler/babel-amass/checkpoints/latest-epoch=599.ckpt'

Error locating target 'teach.data.BABELDataModule',

Error occurs when sampling:
Error locating target 'teach.data.BABELDataModule', set env var HYDRA_FULL_ERROR=1 to see chained exception.
full_key: data
AttributeError: module 'teach.data' has no attribute 'BABELDataModule'

During handling of the above exception, another exception occurred:

ModuleNotFoundError: No module named 'teach.data.BABELDataModule'

where should I put the teach folder and how to fix this issue?

Questions about Comparing Experiments and Datasets

Hello, thank you very much for providing such an excellent project.
I noticed that you made a comparison with TEMOS in paper. I have trained TEMOS before, but it is implemented on the KIT-ML dataset, so I would like to ask:

  1. How to train TEMOS on the BABEL dataset?
  2. How to train SINC on the KIT-ML dataset?

Looking forward to your reply, thank you!

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.