Offline training suite for autonomous RC vehicles
Corral, offline vehicle training suite
Enforces contract for further offline processing pipeline
Strictly aggregates the numpy images and the saved records and signals on the timestamped data
Transforms underlying records
Flexible masking (cleaning) of data set by;
DataSet.mask_last_Ns()
DataSet.mask_null_throttle()
Masked 459 timesteps throttle<0.1, current cover: 7.8%
Masked 6181 timesteps from 2018-09-12 16:23:26.186000 to 2018-09-12 16
- Start - stop keyframe markers (datetime stamps)
- State values i.e. throttle < 0.1
- Operates on DataSet to plot summary histograms, charts etc.
- Operates on DataSet to generate analysis frames with a HUD overlay
Operates on DataSet to serve batches to Keras
Operatates on DataSet to train a Keras model
Operates on DataSet to visualize the network activations
Uses ffmpeg to write a video from a directory of frames