GitLab

Updated time duration handling. The project class now accepts the frame rate of the videos (to deal with videos of different length)

Added a time_duration parameter to the Project class in data.py, to allow for time_delta indices expressing time in meaningful units. In the future, this will be used, among other things, to report speed in a more meaningful way

Added a time_duration parameter to the Project class in data.py, to allow for time_delta indices expressing time in meaningful units. In the future, this will be used, among other things, to report speed in a more meaningful way

Added a time_duration parameter to the Project class in data.py, to allow for time_delta indices expressing time in meaningful units. In the future, this will be used, among other things, to report speed in a more meaningful way

Updated arena recognition; now only those frames in which the animals are far from the borders of the arena contribute to the task

Updated arena recognition; now only those frames in which the animals are far from the borders of the arena contribute to the task

Updated arena recognition; now only those frames in which the animals are far from the borders of the arena contribute to the task

Updated arena recognition; now only those frames in which the animals are far from the borders of the arena contribute to the task

Updated arena recognition; now only those frames in which the animals are far from the borders of the arena contribute to the task

Updated arena recognition; now only those frames in which the animals are far from the borders of the arena contribute to the task

Updated arena recognition; now only those frames in which the animals are far from the borders of the arena contribute to the task

Modified GMVAEP - GRUs instead of LSTMs, stricted clipping, less deep, l1 regularization in cluster means, uniform initializer of variances

Modified GMVAEP - GRUs instead of LSTMs, stricted clipping, less deep, l1 regularization in cluster means, uniform initializer of variances

Modified GMVAEP - GRUs instead of LSTMs, stricted clipping, less deep, l1 regularization in cluster means, uniform initializer of variances

Modified GMVAEP - GRUs instead of LSTMs, stricted clipping, less deep, l1 regularization in cluster means, uniform initializer of variances

Modified GMVAEP - GRUs instead of LSTMs, stricted clipping, less deep, l1 regularization in cluster means, uniform initializer of variances