Added a function to format and re-scale the predictions.
formatAndScale.py does 2 things:
1) Changes from List to Dict, so you can access the coordinates using the name of a body part, i.e. "Right Ankle"
2) Scales the data from 256x256 back to your original height and width
For example, if original image is 1280x720, the returned result will be the X,Y coordinates for a 1280x720 image, rather than for a 256x256 image
It takes the prediction from hourglass, plus the original height and width, as input. Returns a dict of coordinates, scaled back to original size.
Added a function to format and re-scale the predictions.
formatAndScale.py does 2 things:
1) Changes from List to Dict, so you can access the coordinates using the name of a body part, i.e. "Right Ankle"
2) Scales the data from 256x256 back to your original height and width For example, if original image is 1280x720, the returned result will be the X,Y coordinates for a 1280x720 image, rather than for a 256x256 image
It takes the prediction from hourglass, plus the original height and width, as input. Returns a dict of coordinates, scaled back to original size.