feature-extraction

Describe the issue:
During computing Channel Dependencies reshape_break_channel_dependency does following code to ensure that the number of input channels equals the number of output channels:

in_shape = op_node.auxiliary['in_shape']
out_shape = op_node.auxiliary['out_shape']
in_channel = in_shape[1]
out_channel = out_shape[1]
return in_channel != out_channel

This is correct

Love the book! Ran into this display issue when viewing it on Chrome's PDF viewer:

Delete INVALID_TID from tablet_client

Is your feature request related to a problem? Please describe.
Using the CLI to output parameters, those audio features who are multidimensional like amplitudeSpectrumand mfcc will not get corresponding label names in the first row of the generated csv-file. This makes it complicated to import using csv-importers like pandas in Python.
It's also unclear which bin each column represents.

We can use the inv_boxcox functionality from scipy.special: https://docs.scipy.org/doc/scipy-1.8.0/html-scipyorg/reference/generated/scipy.special.inv_boxcox.html

Is there an existing issue for this?

• I have searched the existing issues.

Is your feature request related to a problem? Please describe.

There are some notebooks for reverse image search with the gradio showcase and [deploy fastapi with towhee.api](https://github.c

• I'm submitting a ...
  [/] enhancement

• Summary
  As a result of upgrading the Tensorflow version to 0.15.1, we should refactor all the dataSycn with arraySync. This will greatly improve the overall readability of the code.