I have some questions about the "apps/sft/" implement.
- During training , the opencv doesn't add K bootstraped negative samples which was mentioned in the paper(Robust Object Detection Via Soft Cascade). Right?
- After training, the opencv doesn't use a test set to get a new output function order. Right?, It only get a new rejection threshold based on the training samples.Right?