Hyungjin Kim

a code snippet: ``` import tensorflow as tf x = tf.keras.layers.Input(shape = (512,512,3)) model = tf.keras.applications.ConvNeXtTiny(input_tensor = x, include_preprocessing = True, include_top = False, weights = None) ```

When I checked again, RegNet also found a problem with Input_tensor. (When using input_shape, there is no problem.) Check please. Thanks. the following error message with RegNetX ``` --------------------------------------------------------------------------- TypeError...

code snippets: ``` import tensorflow as tf x = tf.keras.layers.Input(shape = (512,512,3)) model = tf.keras.applications.RegNetX002(input_tensor = x, include_top = False, include_preprocessing = False, weights = None) ``` ``` import tensorflow...

First, please refer to function of tfdet.export.tflite. Usage will be updated soon.

I don't know how the MobileVit structure or code is structured. Please refer to "usage/export/object_detection".

I wanted to get an npu for testing, but failed. I'll try it out if I get it in the future.