Citizen-Reporter | Tensorflow based Machine Learning Model in a Hackathon

by gshanbhag525 Python Version: Current License: MIT

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

kandi X-RAY | Citizen-Reporter Summary

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

Created This Tensorflow based Machine Learning Model in a Hackathon called ACCELATHON {for a social initiative against Potholes and Garbage in the Cities. This model can detect garbage and potholes very easily.

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Quality

Security

License

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Support

Citizen-Reporter has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Citizen-Reporter has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Citizen-Reporter is current.

Quality

Citizen-Reporter has no bugs reported.

Security

Citizen-Reporter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Citizen-Reporter 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

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

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

Retrieve random bottlenecks
Get or create a bottleneck
Get the full path to the image
Create a bottleneck file
Rewrite the graph
Applies the final node renames
Extract the node name from the input
Ensure the given tensor name has port
Save graph to file
Reads a Tensor from a file
Load labels from a label file
Prepare the file system
Count the number of operations in a file
Load a tensorflow graph from a file
Determine if the image should be distort
Compute evaluation step
Creates a tf graph
Create model information
Adds JPEG encoding
Download and extract the given url
Cache bottleneck images
Generate a list of bottleneck_truths
Evaluate a graph
Adds the final training tensor
Adds input distortions
Create list of images in image directory

Get all kandi verified functions for this library.

Citizen-Reporter Key Features

No Key Features are available at this moment for Citizen-Reporter.

Citizen-Reporter Examples and Code Snippets

No Code Snippets are available at this moment for Citizen-Reporter.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Citizen-Reporter

You can download it from GitHub.
You can use Citizen-Reporter 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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