sample-tensorflow-service | Simple image classification service for use SingularityNET

by singnet Python Version: Current License: MIT

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

kandi X-RAY | sample-tensorflow-service Summary

sample-tensorflow-service is a Python library typically used in Manufacturing, Utilities, Automotive applications. sample-tensorflow-service has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Simple image classification service for use SingularityNET daemon

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Quality

Security

License

Reuse

Support

sample-tensorflow-service has a low active ecosystem.

It has 23 star(s) with 17 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 649 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sample-tensorflow-service is current.

Quality

sample-tensorflow-service has 0 bugs and 0 code smells.

Security

sample-tensorflow-service has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sample-tensorflow-service code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sample-tensorflow-service 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

sample-tensorflow-service 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.

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

sample-tensorflow-service saves you 47 person hours of effort in developing the same functionality from scratch.

It has 126 lines of code, 4 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Classify an image
Return node id

Get all kandi verified functions for this library.

sample-tensorflow-service Key Features

No Key Features are available at this moment for sample-tensorflow-service.

sample-tensorflow-service Examples and Code Snippets

No Code Snippets are available at this moment for sample-tensorflow-service.

Community Discussions

No Community Discussions are available at this moment for sample-tensorflow-service.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install sample-tensorflow-service

You can download it from GitHub.
You can use sample-tensorflow-service 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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