gait-recognition | Distance Recognition of a Human Being with Deep CNN | Machine Learning library

by rshrc Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | gait-recognition Summary

gait-recognition is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Numpy applications. gait-recognition has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Distance Recognition of a Human Being with Deep CNN's

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Quality

Security

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Support

gait-recognition has a low active ecosystem.

It has 52 star(s) with 26 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 0 have been closed. On average issues are closed in 582 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gait-recognition is current.

Quality

gait-recognition has 0 bugs and 0 code smells.

Security

gait-recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gait-recognition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gait-recognition does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

gait-recognition releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed gait-recognition and discovered the below as its top functions. This is intended to give you an instant insight into gait-recognition implemented functionality, and help decide if they suit your requirements.

Run the main function .
Read image file .
Initialize the parser .
Create model .
Train a model .
Loads the model .
Saves a model to file .
Return data generator .
Calculate the distance to a camera .

Get all kandi verified functions for this library.

gait-recognition Key Features

No Key Features are available at this moment for gait-recognition.

gait-recognition Examples and Code Snippets

No Code Snippets are available at this moment for gait-recognition.

Community Discussions

Trending Discussions on gait-recognition

TF2 confused about step numbers in LSTM Network

QUESTION

TF2 confused about step numbers in LSTM Network

Asked 2020-Nov-03 at 13:55

I'm currently trying to implement the authentification Network from this with my own Dataset.

This is my colab notebook

It's "working"(Dataset size is still way too small to do any meaningfull testing), but I am confused about something.

The input is of shape (482, 12, 128, 1). 482 amount of samples , 12 sensors, 128 is the signal length, 1 channel

So what I would expect is to have something like:

...

ANSWER

Answered 2020-Nov-03 at 13:54

When you call model.fit() without specifying the batch_size argument, it defaults to 32.

batch_size: Integer or None. Number of samples per gradient update. If unspecified, batch_size will default to 32. Do not specify the batch_size if your data is in the form of datasets, generators, or keras.utils.Sequence instances (since they generate batches).

If you divide your number of samples in batches of 32, it needs 16 batches (15 complete ones, and 1 partial one).

Source https://stackoverflow.com/questions/64663616

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install gait-recognition

You can download it from GitHub.
You can use gait-recognition like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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