Comments (5)
Hi,
Thank you for your interest in our work.
The common pipeline for using the network is applying face detection on the image and feeding the detected network (ideally, after alignment) to the network.
Best,
Gil
from agegenderdeeplearning.
Hey Gil, thanks for the replay.
I'm not sure if i understand...
So what do you suggest doing in the above described case?
from agegenderdeeplearning.
In the above case, I suggest running a (human) face detector and run the network on the faces it detected in the image. Since it won't probably detect the dog faces, you won't run the network on that.
from agegenderdeeplearning.
@GilLevi ok thanks for that! are you planning to release any updates on this network at all?
from agegenderdeeplearning.
Not in the near future.
from agegenderdeeplearning.
Related Issues (20)
- order of mean HOT 2
- gender recognition based on the whole body HOT 1
- Help me fix errror when i run model . HOT 2
- FiducialFaceDetector source code HOT 4
- Mean shape incompatible with input shape HOT 1
- Age group labels HOT 1
- Unbalanced folds HOT 2
- Age Classification accuracy HOT 4
- Assertion `cur_target >= 0 && cur_target < n_classes’ failed HOT 1
- faces.tar.gz labels HOT 2
- how can someone run it on their machine HOT 1
- Problem with Running Code HOT 1
- Mean subtraction for each channel
- AttributeError: 'module' object has no attribute 'io'; a = caffe.io.caffe_pb2.BlobProto.FromString(proto_data)
- Please May I know the gender labels used
- issues
- Gender Classification Confusion Matrix
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- First Conv Layer Output Error
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from agegenderdeeplearning.