The Pytorch implementation for "Video-Text Pre-training with Learned Regions"

Last update: Mar 20, 2022

Related tags

Deep Learning video-language

Overview

Region_Learner

The Pytorch implementation for "Video-Text Pre-training with Learned Regions" (arxiv)

We are still cleaning up the code further and preparing for pre-training weights.

Preparation

Overall, this code is built on PyTorch with DistributedDataParallel (DDP).

Create conda env and install required packages via sh install_env.sh
Create some important folders
1. mkdir data (you can symlink huge datasets to this folder)
2. mkdir results

Finetuning (on MSR-VTT)

Download data (see https://github.com/m-bain/frozen-in-time#-finetuning-benchmarks-msr-vtt)
Run sh finetune.sh

Pre-training

Download WebVid-2M (see https://github.com/m-bain/webvid)
Download CC-3M (see https://ai.google.com/research/ConceptualCaptions/download)
Run sh pre-training.sh

Pre-trained Weights

Coming soon.

Acknowledgements

This code is based off Frozen in Time

Owner

Rui Yan

Computer Vision

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