Comments (6)
OK, I see. It's very nice for you to answer my question. Thany you very much!
from cnn_face_detection.
Hi, the images created from that .sh file are actually 15 * 15, the comments were copied from create_face_48c.sh, sorry..
The face sizes in the lmdb are sizes of 15, such that one image can create 10 crops (top-left, top-right, bottom-left, middle, and mirrors of previous 5 crops) of sizes 12 x 12 during training.
from cnn_face_detection.
So you mean that the final image used to training is also 12 * 12?
from cnn_face_detection.
The images created are of size 15 * 15, but caffe will crop blocks of sizes 12 x 12.
from cnn_face_detection.
And in which step will caffe crop the image?
from cnn_face_detection.
When you perform training through executing
./build/tools/caffe train --solver=models/face_12c/solver.prototxt
It's specified inside face_12c/train_val.prototxt
from cnn_face_detection.
Related Issues (20)
- approximate Threshold T1 and T2 HOT 4
- About the result after running HOT 4
- Number of face detected in 2002/07/19/big/img_352.jpg HOT 1
- About the training step HOT 4
- A question about the cascade cnn HOT 2
- How to train calibration nets?
- 3000 images without any faces (negative images) HOT 2
- How to implement the Multi-resolution net structure HOT 5
- Speed Problem HOT 1
- AFLW new website can't find AFLW_Faces.txt HOT 1
- create negative_py HOT 9
- train_val.prototxt about FCN HOT 3
- many false face HOT 1
- calibration_AFLW.py new code HOT 5
- Resize images when creatiing LMDB file HOT 2
- About the training step HOT 1
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- How to get the file face12c_full_conv.caffemodel HOT 2
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from cnn_face_detection.