ComPhy: Compositional Physical Reasoning ofObjects and Events from Videos

Overview

ComPhy

This repository holds the code for the paper.

ComPhy: Compositional Physical Reasoning ofObjects and Events from Videos, (Under review)

PDF

Project Website

Framework

Code Preparation

git clone https://github.com/comphyreasoning/compositional_physics_learner.git 

Installation

pip install -r requirements

Data Preparation

Fast Evaluation

  • Download the regional proposals with attribute and physical property prediction from the anonymous Google drive
  • Download the dynamic predictions from the anonymous Google drive
  • Run executor for factual questions.
sh scripts/test_oe_release.sh
  • Run executor for multiple-choice questions.
sh scripts/test_mc_release.sh

Supporting sub-modules

Physical Property Learner and Dynamic predictor

Please refer to this repo for property learning and dynamics prediction.

Perception

This module uses the public NS-VQA's perception module object detection and visual attribute extraction.

Program parser

This module uses the public NS-VQA's program parser module to tranform language into executable programs.

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