metadata

license: apache-2.0
task_categories:
  - video-classification
language:
  - en
tags:
  - video
size_categories:
  - 10K<n<100K

Dataset Preparation for IV2 Retraining

Downloading

> git clone https://github.com/qingy1337/kinetics-dataset.git
> cd kinetics-dataset
/kinetics-dataset > git pull
/kinetics-dataset > bash ./k600_downloader.sh
/kinetics-dataset > bash ./k600_extractor.sh

Reorganizing into folders

> cd kinetics-dataset
/kinetics-dataset > mv k600_reorganize.py ./k600/
/kinetics-dataset > cd k600
/kinetics-dataset/k600 > python k600_reorganize annotations/train.txt

Remove un-ideal actions

/kinetics-dataset > mv removed_actions.txt ./k600/
/kinetics-dataset > cd k600
/kinetics-dataset/k600 > grep -v '^$' removed_actions.txt | tr '\n' '\0' | xargs -0 -I {} rm -rf "./train/train/{}/"

Filter only quality videos (~30 fps, ~10 seconds in duration)

/kinetics-dataset > mv quality_check.py ./k600/
/kinetics-dataset > cd k600
/kinetics-dataset/k600 > python quality_check.py

Generate JSON dataset (compatible with IV2 training)

/kinetics-dataset > mv generate_json_dataset.py ./k600/train/train/
/kinetics-dataset > cd k600/train/train/
/kinetics-dataset/k600/train/train > python generate_json_dataset.py # output saved to kinetics.json in /kinetics-dataset/k600/train/train/