Open andresprados opened 2 years ago
Amazing! Looking forward to it!
@andresprados any updates?
@andresprados is there a change in plan of code release?
Sorry for the delay, we hope to have it ready before the start of the conference (21/11/2022).
Thanks a lot for the update :)
How can I run the inference code?
Hello, thank you for the amazing work. When will the training code be released? And how can I run the inference code? I tried but wasn't able to. The code doesn't seem complete. I tried running framework.py, config.py and pretreatment.py in the inference folder, but it didn't work.
Hi, the demo with an inference example is expected to be released next week (01/02/2023). In the meantime, the readme shows how to generate results from different datasets in the evaluation section.
@andresprados Hello, does the 3d pose estimated also sota compare with previously methods? How's the accuracy and speed tradeoff? Can it in realtime on CPU?
Hi, the demo with an inference example is expected to be released next week (01/02/2023). In the meantime, the readme shows how to generate results from different datasets in the evaluation section.
Inference framework and image colab demo are already released! Next week I will add a real-time video demo that will include:
I share with you the preview:
Hi, @andresprados
Thank you for sharing your wonderful project. I'm very impressed with your work.
I have noticed that the training code has not yet been released, and I was wondering if you could kindly let me know when it is scheduled to be made available. I am very keen to explore and experiment with SPIGA, and having access to the training code would be helpful.
Thank you.
Hi @Sparno1179, thank you for the support.
At the moment, the training code is integrated into a larger framework supported by our lab. I believe that in the next 2-3 months I should be able to create a simple training process for SPIGA. In the meantime, check out the paper supplementary, a detailed explanation of the training process as well as the hyperparameters used can be found there. Also take a look at the dataloaders in the repository, we have included all the data augmentors used as well as the configuration set during the training.
Best, Andrés
Hi @andresprados, thank you for your amazing work!
Do you have any updates on the code release for training? Or maybe you can post the training process as it currently is?
Hi @andresprados, thank you for your excellent work, I am very interested in this. When will the training code be released? Or I see you said that the training code had been integrated into the framework of your lab. Can you provide a link? Thank you.
Code release will be available within the next two weeks, we expect to release the inference and the realtime demo before November and the training source before December.