instruction of training about face-landmark-localization

[qiexing]

I prepare data ,then fine-tuning the vgg_s caffe model

[kaishijeng]

Which data set do you use to generate a pre-trained model?
Can you share you training script?

Thanks,

On Fri, Jan 22, 2016 at 4:37 AM, kkhe [email protected] wrote:

I prepare data ,then fine-tuning the vgg_s caffe model

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[qiexing]

I use ibug 300w 68 landmark

[kaishijeng]

I have downloaded ibug 300W 68 dataset. Do you mind sharing your training
scripts and solver.protobuf?

Thanks,

On Mon, Jan 25, 2016 at 11:03 PM, kkhe [email protected] wrote:

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[kaishijeng]

QieXing

Are you willing to share train.prototxt and solver.prototxt for training purpose?

Thanks

[affromero]

@kaishijeng did you have success reproducing @qiexing results? I've tried to without success. I performed translations and rotations over the 135 original files, as it was suggested, but the model overfit.

I've done this here in case you want to take a look and try yourself in case you have not.

[kaishijeng]

@afromero

I tried, but not able to make it work. I will take a look at what you have
done.

Thanks,

On Mon, Feb 29, 2016 at 8:09 AM, Afromero [email protected] wrote:

@kaishijeng https://github.com/kaishijeng did you have success
reproducing @qiexing https://github.com/qiexing results? I've tried to
without success. I performed translations and rotations over the 135
original files, as it was suggested, but the model overfit.

I've done this here
https://github.com/affromero/ActionUnits_Classification/blob/master/Landmarks/face-landmark-localization/get_data.py
in case you want to take a look and try yourself in case you have not.

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[kaishijeng]

@afromero,

Did you have a luck of getting  training worked? Your github repository

mentions it is still overfitting.

On Mon, Feb 29, 2016 at 5:14 PM, kaishi Jeng [email protected] wrote:

@afromero

I tried, but not able to make it work. I will take a look at what you have
done.

Thanks,

On Mon, Feb 29, 2016 at 8:09 AM, Afromero [email protected]
wrote:

@kaishijeng https://github.com/kaishijeng did you have success
reproducing @qiexing https://github.com/qiexing results? I've tried to
without success. I performed translations and rotations over the 135
original files, as it was suggested, but the model overfit.

I've done this here
https://github.com/affromero/ActionUnits_Classification/blob/master/Landmarks/face-landmark-localization/get_data.py
in case you want to take a look and try yourself in case you have not.

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[affromero]

No @kaishijeng, I have not. I even improved from 135 images to 1M images performing rotations from -80 to 80 degrees and translations and now it does not learn at all, I'm playing with the parameters by now to see what happens.

I hope @qiexing could give us a hand.

[kaishijeng]

@afromero

Thanks for the update. Let us hope qlexing reads this and shares his
training code.

On Mon, Mar 7, 2016 at 6:13 AM, affromero [email protected] wrote:

No @kaishijeng https://github.com/kaishijeng, I have not. I even
improved from 135 images to 1M images performing rotations from -80 to 80
degrees and translations and now it does not learn at all, I'm playing with
the parameters by now to see what happens.

I hope @qiexing https://github.com/qiexing could give us a hand.

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