Closed neversettle-tech closed 1 year ago
Using the box centres as ground truth can be trained in our method, and it will not affect the training.
I think there will be a redundant annotation of the outer head. Because the net fits on head only, the hidden head couldn' t be the training samples. However, if this hidden head can be predicted depends on the robustness of the net.
My current data set is only marked with head bounding boxes. Can I take the center point of the head bounding box as the training set for your model? Consider this scenario:Bounding box A is partially covered by bounding box B. When the center point of bounding box A is taken, the center point is likely to fall on the head of the person inside bounding box B. Does this affect the training? I look forward to your reply. Thank you