Comments (2)
I think you have a problem in the following line: int_luts[i][j] = (int)(*(&luts[0][0]+i*1024+j)*PERCISON);
. Why not simply use int_luts[i][j] = (int)(luts[i][j]*PRECISION);
? (I didn't put too much thought into this so I might be wrong.)
The offset
variable tells us how much memory we have to skip in order to get to the next tree (ptree
is a pointer to its beginning).
We use the line tcodes = ptree - 4;
because idx
starts from 1
, as you can see from the code. This simplifies the j
-based for loop that iteratesd over the individual binary tests contained in the tree.
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thanks.
I'd like to know more about the meaning of matrix "tcodes ,lut ,thr" and their space relationship with pixel matrix.
What will happen if the pixel matri I fed into the function is smaller than the trainning period?
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Related Issues (20)
- The details in Training HOT 5
- tree tdepth HOT 2
- the method is fast!
- Rectangular detection HOT 1
- train data problem HOT 1
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- 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
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- model can't converge HOT 16
- 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
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- no documentation for learning custom detectors
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