phototensorflow | Go server wrapping python imagenet image classify

by Misterhex Python Version: Current License: MIT

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

kandi X-RAY | phototensorflow Summary

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

Go server wrapping python imagenet image classify

Support

Quality

Security

License

Reuse

Support

phototensorflow has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

phototensorflow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of phototensorflow is current.

Quality

phototensorflow has no bugs reported.

Security

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

License

phototensorflow 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

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

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

Top functions reviewed by kandi - BETA

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

Loads the mapping from a file .
Run inference on an image .
Download and extract the model .
Initialize model lookup table .
Create the graph from saved graph_def .
Run inference on an image .

Get all kandi verified functions for this library.

phototensorflow Key Features

No Key Features are available at this moment for phototensorflow.

phototensorflow Examples and Code Snippets

No Code Snippets are available at this moment for phototensorflow.

Community Discussions

No Community Discussions are available at this moment for phototensorflow.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install phototensorflow

You can download it from GitHub.
You can use phototensorflow 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 .

Find more information at: