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Description
MDD for data annotation application
- select and load image(s) using GUI—includes issue setup — load images function updates #37
- manipulate metadata—training mode — input custom "flow-skeleton" information #7, training mode — blow away the training data for an image #6, training mode — scale, position, and rotation GUI #5
- save data
- per image
- User-selected bone positions
- kinect-input-based training data
- absolute joint positions
- images from kinect camera (one per joint set saved)
- compile individual image data into conglomerated data and model files
- specify
- set of images (list of directories?) to compile
- target directory & filename for saved data
- data type for each joint (abs xyz, relative xyz, angle axis, etc.)
- weights for each joint
- prediction model / data type to compile
- tags (wish list)
- compile & save
- training model file
- metadata—xml file? or would csv / tsvs be quicker?
- list of labels with associated file names+paths of images, and any tags
- prediction model type
- specify
- per image
- load data
- training model
- metadata—setup — hashmap (or DB Table) to associate filenames with image labels #16
- change prediction engine to match new data (could be done when creating a "corps" which uses that data)—debug overlay — GUI / keypresses for switching prediction data #24