Comments (5)
Hi,
Thank you for your interest in our work.
The problem you are describing is a know issue caused since the newer Caffe versions are not 100% compatible with the version used in our project.
For a detailed description of the problem and a solution, see the project page (update from the 15th of July):
http://www.openu.ac.il/home/hassner/projects/cnn_agegender/
Best,
Gil
from agegenderdeeplearning.
Ah great thank you.
Also, do you know of any work that actually does face detection in images that I could use alongside your software. At the moment, if I get the network a picture of a street sign, it gives it a 100% male label. Ideally we'd want to detect age and gender of a face IFF a face is present in the image.
from agegenderdeeplearning.
Hi,
You need to look for face detection code. There are many works on the subject, for example the following:
https://www.ics.uci.edu/~xzhu/face/
Best,
Gil
from agegenderdeeplearning.
Hi,
I also run to the same issue and I was wondering:
which Caffe version did you use for the project?
Thanks!
from agegenderdeeplearning.
Hi @IvonaTau ,
I'm afraid I don't remember which version we used. We used the latest source code from Caffe's github repository at that time (around February 2015).
Gil
from agegenderdeeplearning.
Related Issues (20)
- Age estimation confusion matrix ,the sum of a row is not 1? HOT 2
- 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
- Human Vs Animal problem HOT 5
- 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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from agegenderdeeplearning.