Comments (5)
Thanks @JWSunny
I didn't ported the model to android yet.
when I checked the model on macbook, the speed is average 39fps.
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@junhwanjang thank you for your replay,
the speed 39fps is trained on basic models or mobilenets?
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@JWSunny
The speed is
Mobilenets: 39fps
basic_models: about 42fps (but not accurate than mobilenets)
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@junhwanjang OK, thanks.
how can i use the kersa_to_tf.py convert the Mobilenet_v1.hdf5 to pb file, can you provide an example including specific parameters; i find i can't use the hdf5 file in my conputer.
thank you very much, best wishes.
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@junhwanjang
hello:
when i convert hdf5 to pb, the load_model(hdf5) is error: Process finished with exit code -1073740940 (0xC0000374), the main error is the model_config = f.attrs.get('model_config') in function load_model(); do you know why??
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Related Issues (16)
- Using mobile_net_v1 model on ios HOT 5
- What Python and Keras versions? HOT 1
- The loss function of the model is not defined? HOT 2
- Training 3 channel images get unexpected error HOT 1
- Would you mind sharing your own Korean face dataset for original color images and pts? HOT 1
- Issues while loading trained mobilenet model in Javascript
- augmentation problem
- Loss is very high even train for 500 epochs (On custom dataset)
- How to detect facial landmark? HOT 4
- Error when run model on tensorflow for mobile
- The same error with Mobilenet_v1.coreml HOT 1
- Training on custom data HOT 2
- Accuracy of the Model HOT 4
- about augment
- test the real-image
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