| # 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 | |