New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Converting the 3D scene graph into textual representations #19

Open

gihanpanapitiya opened this issue Feb 8, 2025 · 0 comments

gihanpanapitiya commented Feb 8, 2025 •

edited

Loading

Are there any instructions on converting the 3D scene graph into textual representations for VLM training? Or a function to create a dataset item?

I think the content of vqa_results is what we use to create the textual representations. But I couldn't find where and how it's done.

SpatialRGPT/dataset_pipeline/run_template_qa.py

Line 101 in 16715d4

vqa_results = prompter.evaluate_predicates_on_pairs(detection_list)

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