Comments (4)
I get a better result after I have modify the confidence and threshold. Later I will train a caffeemodel by myself. Thank you for your kindness!
from cnn_face_detection.
Hi, you can refer to this issue.
The current parameters (thresholds) are not tuned at their best values, so I guess you can try tuning the parameters, for example :
increasing the confidence value in the detect_face_48c method of face_detection_functions.py
Some other possibilities that cause these issues is there was an error during training of the calibration nets, as mentioned here.
The data preparation scripts have been changed as well as mentioned here.
from cnn_face_detection.
Thank you very much.
By the way, what dataset do you use to train the calibration nets? Do you use all face in aflw? And how about the number of positive and negative train sets?
from cnn_face_detection.
Yes, I use all faces in AFLW, total images of 45 categories adding up to roughly 1 million training images.
from cnn_face_detection.
Related Issues (20)
- approximate Threshold T1 and T2 HOT 4
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- 3000 images without any faces (negative images) HOT 2
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- Speed Problem HOT 1
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- calibration_AFLW.py new code HOT 5
- Resize images when creatiing LMDB file HOT 2
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- How to get the file face12c_full_conv.caffemodel HOT 2
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from cnn_face_detection.