# MultiView Pouring Dataset, v1.0.
by Pierre Sermanet, Corey Lynch, Jasmine Hsu and Eric Jang

## License
This data is licensed by Google Inc. under a Creative Commons Attribution 4.0 International License.

## Downloading

Because of some downloading issues for a specific file, the file was split in two, call https://huggingface.co/datasets/sermanet/multiview-pouring/blob/main/tfrecords/test/whiteorange_to_clear1_real_combining.sh to recombine the parts.

## Structure

Training, validation and test sets are provided with the following structure:

videos/: original .mov videos (1080x1920 resolution, non-rotated).

tfrecords/: TensorFlow-ready files, where each video is a SequenceExample object
  (https://www.tensorflow.org/api_docs/python/tf/train/SequenceExample)
  containing all frames of the videos, compressed as a jpeg-encoded string.
  Each original frame is rotated upright and downsampled to 360x640 pixels.

labels/: For each tfrecord video in tfrecords/val and tfrecords/test, we provide
  a tfrecord with the same filename that contains the labels for each frame of
  that video.

## Generating tfrecords.

Although tfrecord files are already available here, one can regenerate them
from the original videos using the following command:

set=multiview-pouring && videos=~/data/tcn/ && tcn/videos_to_tfrecords --logtostderr --output_dir ~/data/tcn/tfrecords/$set --input_dir $videos/datasets/$set/ --rotate 90 --resize_min_edge 360