farhantandia

``` input_image = Input(shape=image_input_shape) eff_model=efn.EfficientNetB3(input_shape=(height, width, 3), include_top=False, weights='noisy-student') model_backbone = Model(eff_model.input,[eff_model.get_layer('block6d_se_squeeze').output,eff_model.output]) timeDistributed_layer = tf.keras.layers.TimeDistributed(model_backbone)(input_image) t = LSTM(128...)(timeDistributed_layer) -->first output of backbone c = Conv2D(128,..)(timeDistributed_layer) --> second output of backbone...

Hi, first of all, thank you for a great package for ease to implement page transition between app screen navigation. I wonder how to implement the package in the bottom...

any implementation for tiny yolov4 version?

2

Fail to convert tiny version, any help for it? thanks

it works for standard yolov4, but in model.py there is no network for tiny-yolov4, what kind of network that has to be specified? any help for it? Thanks in advance.

How to predict each class probability

2

**how to predict the class probability? when I set the output to arcface output (softmax) w.r.t number of class, I got an error when run this model = Model(inputs=model.input[0], outputs=model.layers[-1].output)...

is the model support multi-gpu training?

About dataset

1

Hello, do you know where I can find the dataset? what type of input dataset which you are using? Thank you.

Is this package support key from XML?

1

I have a public key in XML format, does this package able to use the XML format to encrypt data? or need to convert to PEM format? Thanks