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README.txt

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+MultiView Pouring Dataset, v1.0.
+Pierre Sermanet, Corey Lynch, Jasmine Hsu and Eric Jang
+(sermanet, coreylynch, hellojas, ejang)@google.com
+
+This data is licensed by Google Inc. under a Creative Commons Attribution 4.0 International License.
+
+## 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