OctConv | Code for paper

by facebookresearch Python Version: Current License: MIT

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

kandi X-RAY | OctConv Summary

OctConv is a Python library. OctConv has no vulnerabilities, it has a Permissive License and it has low support. However OctConv has 3 bugs and it build file is not available. You can download it from GitHub.

Code for paper

Support

Quality

Security

License

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Support

OctConv has a low active ecosystem.

It has 525 star(s) with 76 fork(s). There are 36 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 9 have been closed. On average issues are closed in 20 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of OctConv is current.

Quality

OctConv has 3 bugs (2 blocker, 0 critical, 1 major, 0 minor) and 81 code smells.

Security

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

OctConv code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

OctConv 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

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

OctConv 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.

OctConv saves you 911 person hours of effort in developing the same functionality from scratch.

It has 2080 lines of code, 131 functions and 20 files.

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

Top functions reviewed by kandi - BETA

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

Parse command line arguments
Score a single checkpoint
Get a model by name
Compute the forward layer
Gather elements from sources
Concatenates x1 and x2
Create Bottle Neck V1
Solve block of data
Creates fully connected layers
Helper function to apply operator
Forward forward method
Sum of two values
Performs the hybrid forward algorithm
Return the sum of x1 and x2
R Compute the hyperparameters
Broadcast x
Concatenate x1 and x2
Perform hybridization
Computes the sum of x1 and x2
Wrapper for SymbolResNetv2
Get before pooling
Construct activation layer
Forward forward computation
R Compute the hybrid forward - forward approximation
A convolution layer
A convolution layer with BatchNorm

Get all kandi verified functions for this library.

OctConv Key Features

No Key Features are available at this moment for OctConv.

OctConv Examples and Code Snippets

No Code Snippets are available at this moment for OctConv.

Community Discussions

Trending Discussions on OctConv

Keras Custom Layer Receives same input shape every time

QUESTION

Keras Custom Layer Receives same input shape every time

Asked 2020-Apr-03 at 21:14

I'm Writing OctConv Convolution layer in keras extending the keras layer, i've written the following code.

...

ANSWER

Answered 2020-Apr-03 at 21:14

Your code might be fine. There seem to be problems with K.conv2d, as observed in this answer. One workaround to overcome this is to import keras from tensorflow (e.g. change all your keras imports to tensorflow.keras).

You will then need to make the following change:

Source https://stackoverflow.com/questions/60838057

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

Vulnerabilities

No vulnerabilities reported

Install OctConv

You can download it from GitHub.
You can use OctConv 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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