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Need to attempt to locate growth points. This would allow estimation of pitcher lengths.
Possibly useful heuristics:
centroid of convex hull
dark regions ringed by more or less linear features (assumes pitchers aren't bent/occluded)
skeletonization, then find root node
It would be much easier to train a neural network for this than for pitcher segmentation, since labeling here involves only one or two point locations per image, rather than painstaking pitcher tracing. Maybe worth a shot too?
The text was updated successfully, but these errors were encountered:
Need to attempt to locate growth points. This would allow estimation of pitcher lengths.
Possibly useful heuristics:
It would be much easier to train a neural network for this than for pitcher segmentation, since labeling here involves only one or two point locations per image, rather than painstaking pitcher tracing. Maybe worth a shot too?
The text was updated successfully, but these errors were encountered: