prednet | models accompanying `` Deep Predictive Coding Networks | Machine Learning library

by coxlab Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | prednet Summary

prednet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras, Neural Network applications. prednet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However prednet build file is not available. You can download it from GitHub.

Code and models accompanying Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning by Bill Lotter, Gabriel Kreiman, and David Cox.

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prednet has a low active ecosystem.

It has 732 star(s) with 258 fork(s). There are 39 watchers for this library.

It had no major release in the last 6 months.

There are 22 open issues and 54 have been closed. On average issues are closed in 146 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of prednet is current.

Quality

prednet has 0 bugs and 0 code smells.

Security

prednet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

prednet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

prednet is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

prednet releases are not available. You will need to build from source code and install.

prednet has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

prednet saves you 242 person hours of effort in developing the same functionality from scratch.

It has 589 lines of code, 17 functions and 8 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Generate training data
Resize an image
Convert a trained model to Keras2
Return the configuration of the PredNet
Download Kitti data
Extract and unzip image data
Create all preprocessors
Preprocess data

Get all kandi verified functions for this library.

prednet Key Features

No Key Features are available at this moment for prednet.

prednet Examples and Code Snippets

No Code Snippets are available at this moment for prednet.

Community Discussions

Trending Discussions on prednet

How to check if Keras backend is tensorflow or theano

ValueError: could not broadcast input array from shape (424,16,3) into shape (128,160,3)

QUESTION

How to check if Keras backend is tensorflow or theano

Asked 2021-Mar-18 at 06:03

I want to check in code what backend keras is using. Whether it is tensorflow or theano? How can I get this?

The code here uses K._BACKEND, however I'm getting an error saying that attribute not found. My Keras version is 2.2.5

...

ANSWER

Answered 2021-Mar-18 at 06:03

From here, the following works

Source https://stackoverflow.com/questions/66685496

QUESTION

ValueError: could not broadcast input array from shape (424,16,3) into shape (128,160,3)

Asked 2020-Jun-18 at 03:42

I was working with the code process_kitti.py by coxlab from GitHub in an Anaconda environment. Some of the function was deprecated in Python 3.6. Therefore I have changed the following line:

...

ANSWER

Answered 2020-Jun-18 at 03:42

Do note that the size parameter in the imresize function from scipy is a 2-tuple of (height, width) while in Pillow package it is (width, height) so you might need to reverse the order

Source:

https://docs.scipy.org/doc/scipy-1.2.1/reference/generated/scipy.misc.imresize.html

https://pillow.readthedocs.io/en/stable/reference/Image.html

Source https://stackoverflow.com/questions/62441606

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

Vulnerabilities

No vulnerabilities reported

Install prednet

You can download it from GitHub.
You can use prednet 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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