Comments (3)
lizekui
commented on July 28, 2024
1
@yu4u Tooooo unfortunately....
I found another project for gender estimation, which can run normally using '_make_predict_function' and 'get_default_graph', while train function is different with our code , the link is oarriaga/face_classification, If dear yu4u you are clear with Keras, maybe this can give you some ideas, Thanks!
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yu4u
commented on July 28, 2024
1
Thank you for useful information.
Very cool project!!
from age-gender-estimation.
yu4u
commented on July 28, 2024
I had faced the same problem, and got the same solution.
In my case, create model + load_weights did work (without calling _make_predict_function()).
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Related Issues (20)
- onnx HOT 1
- Citation for this repository? HOT 2
- Low gender accurate HOT 1
- train doesn't use detection's result HOT 1
- Requirement versions
- How to draw ROC curve？
- cannot import name 'EfficientNetB0' HOT 3
- Hi! The face image in folder should be cropped? HOT 1
- accuracy in "age_estimation" folder
- run demo.py in "age_estimation" folder HOT 2
- Turn off logging outputs
- Variable shape and weights shape are not matching HOT 5
- Please help me to custom model only age-estimation
- How to re-traning when stop HOT 1
- cv2.imshow returns error
- labels.txt for age and gender
- why dot ages arange(0, 101) rather than max in predict HOT 1
- You can consider using the new B3FD dataset or IMDB-WIKI filtration lists for even better results HOT 1
- OmegaConf error
- mae performance results are different in Debug mode and Release mode.
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