object-recognition-tensorflow | Object Recognition using TensorFlow and Java | Machine Learning library

by tahaemara Java Version: Current License: Apache-2.0

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

kandi X-RAY | object-recognition-tensorflow Summary

object-recognition-tensorflow is a Java library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. object-recognition-tensorflow 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.

Object Recognition using TensorFlow and Java

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Quality

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object-recognition-tensorflow has a low active ecosystem.

It has 76 star(s) with 54 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 295 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of object-recognition-tensorflow is current.

Quality

object-recognition-tensorflow has 0 bugs and 0 code smells.

Security

object-recognition-tensorflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

object-recognition-tensorflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

object-recognition-tensorflow is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

object-recognition-tensorflow 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.

object-recognition-tensorflow saves you 989 person hours of effort in developing the same functionality from scratch.

It has 2249 lines of code, 320 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Performs an action on the model
Converts an image into an image graph
Returns the index of the max index
Read all bytes and exit
Reads all lines and exits
Adds a new cell to the table
Merge this one with another one
Adds a new cell to this table
Sets defaults
Returns the row index for the given y coordinate

Get all kandi verified functions for this library.

object-recognition-tensorflow Key Features

No Key Features are available at this moment for object-recognition-tensorflow.

object-recognition-tensorflow Examples and Code Snippets

No Code Snippets are available at this moment for object-recognition-tensorflow.

Community Discussions

Trending Discussions on object-recognition-tensorflow

Java incompatible type error

QUESTION

Java incompatible type error

Asked 2018-Feb-25 at 18:06

The following code is a part of a java program for making predictions with inception v3 model using Tensorflow library.

...

ANSWER

Answered 2018-Feb-24 at 23:30

The code that you've provided does not match the code that you said you copied. The source code is:

Source https://stackoverflow.com/questions/48968681

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

Vulnerabilities

No vulnerabilities reported

Install object-recognition-tensorflow

You can download it from GitHub.
You can use object-recognition-tensorflow like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the object-recognition-tensorflow component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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