Comments (2)
nenadmarkus
commented on July 19, 2024
- You can set the tree depth at the beginning of the training: all trees in the cascade have to be of the same depth (due to simplicity).
- Well, the threshold should really be set to -Inf. However, we can get the same effect with -1337 (or any other number smaller than it). https://en.wikipedia.org/wiki/Leet
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YangUSTC
commented on July 19, 2024
Hi!
I really think changing the tree depth in different cycles is an interesting idea. Did you try it?
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Related Issues (20)
- The details in Training HOT 5
- the method is fast!
- Rectangular detection HOT 1
- train data problem HOT 1
- Problem in training my
- Problem in training my own detectors HOT 2
- it's not faster than OpenCV 3.1
- Background dataset HOT 2
- can't detect rotated face HOT 7
- Advice on training custom detectors? HOT 4
- model can't converge HOT 16
- Problems about accelerating the speed of inference stage HOT 2
- Scanner logic should be from largest to smallest
- Could I ask what does s = 2.0*1.5*eyedist means in caltechfaces.py?
- what should I set ldim to? HOT 4
- Understanding tsr tsc parameters HOT 1
- Can i improve the code for eye detction HOT 1
- understanding the lut parameter HOT 1
- no documentation for learning custom detectors
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