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tf-human-action-datasets

repository organization

  • datasets/: all stuff related with datasets' loading and manipulating.
  • datasets/common/: utilities related with joint and labels shared across datasets.
  • datasets/montalbanov2/: functions and joint definitions from Montalbano V2 dataset.
  • datasets/montalbanov2/compute_average_lengths.py: script used to compute average lengths of each skeleton's connection. This measurements are needed in normalization process.
  • datasets/ntu_rbgd/: script to load and generate tfrecords to work with NTU-RBGD dataset.
  • datasets/tfrecords/: set of utilities to encode and decode tfrecords data structures.
  • datasets/tfrecords/: set of utilities to encode and decode tfrecords data structures.
  • etc/conf/: examples of configurations used in some scripts.
  • etc/experiments/gesture_localization/: folders containing configuration and results of experiments about gesture localization process. They're separated in 3 types: train_*, eval_* and search_*.
  • examples/: scripts to validate implementations.
  • models/base/: general stuff used to work with all models.
  • models/gesture_localization/: scripts used to prepare data, train and validate models to address gesture localization problem.
  • models/options/: contains a *.proto file with all configurations used by the scripts from this repository, as well as a helper function to load and validate configurations.
  • models/skeleton_net/: scripts created when trying to build a model based on SkeletonNet using NTU-RGBD dataset.
  • tf_patch/: a monkey patch used to fix a tensorflow issue, which is probably already fixed.
  • utils/: scripts and classes used all over this repository.

references

tfrecord