SSG-VQA
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SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.
Hi there! I am a PhD student collaborating with Dr. E.J. Lee at The University of Arizona. I recently came across your work on SSG-VQA and found it incredibly fascinating....
getting the following error D:\SSG-VQA>conda env create -f environment.yml Retrieving notices: ...working... done Collecting package metadata (repodata.json): done Solving environment: failed ResolvePackageNotFound: - libprotobuf==3.20.1=h4ff587b_0 - numpy-base==1.23.1=py39ha15fc14_0 - openh264==2.1.1=h4ff587b_0 - pyjwt==2.4.0=py39h06a4308_0...
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SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.