Comments (3)
Thank you for your interest in our work.
The log file is the output of the training process? Or are you trying to test the accuracy after training? I'm asking since it didn't look to me like a training output, but I might be wrong. Can you please explain?
Best,
Gil
from agegenderdeeplearning.
I am testing the accuracy using caffe model from "cnn age gender models and data.0.0.2" on the website. And I run the code from terminal:
./build/tools/caffe test -model AdienceFaces/AgeGenderDeepLearning-master/gender_net_definitions/train_val_test_fold_is_0.prototxt -weights AdienceFaces/cnn_age_gender_models_and_data.0.0.2/gender_net.caffemodel -gpu 0 -iterations 100
Ps: I am totally new in caffe and machine learning, sorry if I miss out information. Thank you.
from agegenderdeeplearning.
Hi,
I never used Caffe's command line test tool. I recommend using the python wrapper to test the code. You can find an example of using our model with python here:
http://nbviewer.jupyter.org/url/www.openu.ac.il/home/hassner/projects/cnn_agegender/cnn_age_gender_demo.ipynb
Best,
Gil.
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
- 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
- Issue during predictions
- First Conv Layer Output Error
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