Comments (10)
Hey @buptlj glad that at least the pre-trained model worked :)
When you set lambda_sat to 1.5 it becomes 0? This is really weird....
Are you using a batch size of 16 when you try the default hyperparameter values? Could you also try them with a batch size of 25?
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I didn't change the params and the batch size is 16.
I also tried them with a batch size of 25, but still not work.
I also tried lambda_cls=4000, but the results are almost the same with lambda_cls=160.
The attention mask is either too white or too dark.
I got the attention mask:
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Okay this has happened to me before. In my case the problem was because I had not computed the Action Units of each face correctly.
You mentioned that you were using the dataset that I've provided so that shouldn't be a problem (I trained my models with those images and Action Units).
Do you think that somehow you can be doing something different that makes that the pair AU-image do not correspond anymore?
I also assume that you are using all the images for training right?
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Finally, I get the correct result.
You mentioned that you got the above problem because you had not computed the Action Units of each face correctly, so I use openface to compute the AUs and everything goes right.
I find that the AUs I get are different from yours.
For example, your face img and AUs:
0.56 0.03 0.32 0.84 1.23 0.70 0.31 0.64 1.89 0.75 0.00 0.00 0.45 0.00 1.53 0.04 0.04
My result:
0.00 0.00 0.00 0.00 0.50 0.80 0.00 0.15 1.08 1.46 0.02 0.62 1.14 0.00 0.07 0.14 0.00
The two faces are almost the same,but the AUs are different.
from ganimation.
I see, it's weird because I uploaded the file I used to train my final models. I'll check it out though, thanks!
from ganimation.
Finally, I get the correct result.
You mentioned that you got the above problem because you had not computed the Action Units of each face correctly, so I use openface to compute the AUs and everything goes right.
I find that the AUs I get are different from yours.
For example, your face img and AUs:
0.56 0.03 0.32 0.84 1.23 0.70 0.31 0.64 1.89 0.75 0.00 0.00 0.45 0.00 1.53 0.04 0.04
My result:
0.00 0.00 0.00 0.00 0.50 0.80 0.00 0.15 1.08 1.46 0.02 0.62 1.14 0.00 0.07 0.14 0.00
The two faces are almost the same,but the AUs are different.
Could you please also share the AUs you generated. I would like to try to reproduce the results. Thanks.
from ganimation.
Could you show me the correct attention mask and color mask that you've obtained? I think my result is a little weird. Thanks for your help!
from ganimation.
Finally, I get the correct result.
You mentioned that you got the above problem because you had not computed the Action Units of each face correctly, so I use openface to compute the AUs and everything goes right.
I find that the AUs I get are different from yours.
For example, your face img and AUs:
0.56 0.03 0.32 0.84 1.23 0.70 0.31 0.64 1.89 0.75 0.00 0.00 0.45 0.00 1.53 0.04 0.04
My result:
0.00 0.00 0.00 0.00 0.50 0.80 0.00 0.15 1.08 1.46 0.02 0.62 1.14 0.00 0.07 0.14 0.00
The two faces are almost the same,but the AUs are different.
I am also having the same problem of getting the attention maps saturated to 1 by setting all the parameters to default values and having the batch size of 16. Could you please share the AUs that you have generated?
from ganimation.
Finally, I get the correct result.
You mentioned that you got the above problem because you had not computed the Action Units of each face correctly, so I use openface to compute the AUs and everything goes right.
I find that the AUs I get are different from yours.
For example, your face img and AUs:
0.56 0.03 0.32 0.84 1.23 0.70 0.31 0.64 1.89 0.75 0.00 0.00 0.45 0.00 1.53 0.04 0.04
My result:
0.00 0.00 0.00 0.00 0.50 0.80 0.00 0.15 1.08 1.46 0.02 0.62 1.14 0.00 0.07 0.14 0.00
The two faces are almost the same,but the AUs are different.I am also having the same problem of getting the attention maps saturated to 1 by setting all the parameters to default values and having the batch size of 16. Could you please share the AUs that you have generated?
Could you please share the AUs that you have generated? Because I have found my AUs are wrong.
from ganimation.
Great, I use OpenFace to re-generate the AUs for all images, and the results become normal. Great work!
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Related Issues (13)
- in the wild images examples HOT 5
- Deal with multiple faces HOT 1
- Cannot open the links HOT 1
- Generate attribute_image
- RuntimeError: CUDA error: unknown error HOT 2
- Error on using pretrained models on CPU only machine HOT 1
- How to run if i only have the attribute_txt but not the attribute images?.
- Why are only AU[2]-AU[19] considered out of the 46 AUs?
- Is there any extra necessity I should convert these images to GIF?
- Is there any extra procedure I should convert these images to GIF?
- Could you tell me how many images were used as the data set?
- Missing action unit
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