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Home Page: https://bobbywu.com/STAR

License: Apache License 2.0

Jupyter Notebook 16.77% Python 83.23%
dataset neuro-symbolic-ai question-answering visual-reasoning

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star_benchmark's Issues

QA templates

Hi,

Thanks for the great work. I was looking into the QA generation process and was wondering the question templates will be released sometime in the future?

Thanks

Evaluating and replicating paper results

Hi,

thanks for creating such interesting dataset. I wanted to replicate the results in the paper but not sure how to use this repo for that. Can you please guide me for that. I have already downloaded all datasets and class files.
By running python run_program.py --qa_dir your_path we can get the output but not sure how training of model and weight file generation is happening. Also do we need to generate scene graph and QA template by ourselves as I thought that generation code is for new question-answer addition.

Thanks!

requirements

Hi, could you please the requirements that can work for the code ? E.g., using ffmpeg 3.4.11 will bring a error

ffmpeg version 3.4.11-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 7 (Ubuntu 7.5.0-3ubuntu1~18.04)
  configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-librsvg --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared
  libavutil      55. 78.100 / 55. 78.100
  libavcodec     57.107.100 / 57.107.100
  libavformat    57. 83.100 / 57. 83.100
  libavdevice    57. 10.100 / 57. 10.100
  libavfilter     6.107.100 /  6.107.100
  libavresample   3.  7.  0 /  3.  7.  0
  libswscale      4.  8.100 /  4.  8.100
  libswresample   2.  9.100 /  2.  9.100
  libpostproc    54.  7.100 / 54.  7.100
Option to (record or transcode stop time) cannot be applied to input url /mnt/data/raw_video/Charades_v1_480/GM3UK.mp4 -- you are trying to apply an input option to an output file or vice versa. Move this option before the file it belongs to.
Error parsing options for input file /mnt/data/raw_video/Charades_v1_480/GM3UK.mp4.
Error opening input files: Invalid argument

this is possibly due to the version of ffmpeg. And I replace the -ss START -to END with -ss START -t END-START, it works for ffmpeg 3.4.11.

Request for Clipbert model

Hi! Firstly, thank you for your efforts in producing this dataset and generation tool. Is it possible for you to release the clipbert models mentioned in your paper? I would love to compare it across a few datasets and in my own research as well :)

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