Plastic-Detection-Model | Image Recognition Model to detect plastics

by antiplasti Python Version: Current License: MIT

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

kandi X-RAY | Plastic-Detection-Model Summary

Plastic-Detection-Model is a Python library typically used in Manufacturing, Utilities, Machinery, Process applications. Plastic-Detection-Model has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Plastic-Detection-Model build file is not available. You can download it from GitHub.

Image Recognition Model to detect plastics, glass, paper, rubbish, metal and cardboard. This is used to detect these pollution in the ocean to allow the eradication of these materials, helping marine life, fishermen, tourism and making the world resilient to climate change.

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Quality

Security

License

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Support

Plastic-Detection-Model has a low active ecosystem.

It has 50 star(s) with 27 fork(s). There are 2 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 167 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Plastic-Detection-Model is current.

Quality

Plastic-Detection-Model has 0 bugs and 16 code smells.

Security

Plastic-Detection-Model has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Plastic-Detection-Model code analysis shows 0 unresolved vulnerabilities.

There are 13 security hotspots that need review.

License

Plastic-Detection-Model 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

Plastic-Detection-Model releases are not available. You will need to build from source code and install.

Plastic-Detection-Model has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Plastic-Detection-Model saves you 330 person hours of effort in developing the same functionality from scratch.

It has 791 lines of code, 31 functions and 9 files.

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

Top functions reviewed by kandi - BETA

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

Adds inputs to the image
Creates a list of image lists
Retrieve random bottlenecks
Get or create a bottleneck
Get the full path to the image
Create a bottleneck file
Adds the final training tensors
Generate summaries for a variable
Generate bottleneck_truths from images
Cache bottleneck files
Analyze image data
Detect image
Analyze the image data
Authenticate against firebase
Download and extract a file
Adds the evaluation step
Sends image to cloud server
Create the bottleneck graph
Determine if image should distort

Get all kandi verified functions for this library.

Plastic-Detection-Model Key Features

No Key Features are available at this moment for Plastic-Detection-Model.

Plastic-Detection-Model Examples and Code Snippets

No Code Snippets are available at this moment for Plastic-Detection-Model.

Community Discussions

No Community Discussions are available at this moment for Plastic-Detection-Model.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Plastic-Detection-Model

Make sure you have Python 3 installed, then install Tensorflow on your system, and clone this repo.

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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