Image segmentation and object detection
- New function findBlobs in rawdata.py segments images and detects objects
- New module image.py contains low-level image processing functions
- InferencePipeline can be configured to use only a subset (random or predetermined) of the available trial data
- inferstate.py automatically un-mirrors early trial data
- inferstate.py resamples all data sequences at a constant rate (30 Hz for IMU, 50 Hz for video) before processing
- inferstate.py estimates keyframes for scene parse update given annotated state sequence
- inferstate.py visualizes rgb & depth frame sequences along with segmentation & detected objects
- syntax bugfix in makevideo.sh