rude-carnie | Age detection in Tensorflow | Computer Vision library

by dpressel Python Version: Current License: No License

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

kandi X-RAY | rude-carnie Summary

rude-carnie is a Python library typically used in Artificial Intelligence, Computer Vision, Tensorflow applications. rude-carnie has no bugs, it has no vulnerabilities and it has medium support. However rude-carnie build file is not available. You can download it from GitHub.

Age detection in Tensorflow

Support

Quality

Security

License

Reuse

Support

rude-carnie has a medium active ecosystem.

It has 885 star(s) with 343 fork(s). There are 47 watchers for this library.

It had no major release in the last 6 months.

There are 24 open issues and 80 have been closed. On average issues are closed in 66 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rude-carnie is current.

Quality

rude-carnie has 0 bugs and 0 code smells.

Security

rude-carnie has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rude-carnie code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rude-carnie 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

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

rude-carnie 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.

Top functions reviewed by kandi - BETA

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

Process image files
Process an image
Convert image to Example
Resample a jpeg image
Interpret the output of the classification
Calculates the intersection of two boxes
Compute classification probabilities
Inception V3
Summarize activations
Evaluate model
Retrieve a checkpoint from a checkpoint
Select model based on given name
Runs batch of training images
Classify a single image
Classify multiple images
Runs the detector
Get a checkpoint from a checkpoint file
Run face detection
Calculate loss
Processes image files
Return a fake face detection model
Loads a model
Create an optimizer
Load a tensorflow model
Convenience function for training images
List all images in srcfile
Select a model based on given name
Resolve file name

Get all kandi verified functions for this library.

rude-carnie Key Features

No Key Features are available at this moment for rude-carnie.

rude-carnie Examples and Code Snippets

No Code Snippets are available at this moment for rude-carnie.

Community Discussions

Trending Discussions on rude-carnie

EnumDescriptorProto error while importing tensorflow

QUESTION

EnumDescriptorProto error while importing tensorflow

Asked 2017-Dec-18 at 07:41

Im trying to run the following code

...

ANSWER

Answered 2017-Dec-18 at 07:41

Today I came across same problem. Uninstall all the protobuf on your machine (both from anaconda and pip)

Source https://stackoverflow.com/questions/47373706

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

Vulnerabilities

No vulnerabilities reported

Install rude-carnie

You can download it from GitHub.
You can use rude-carnie 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.