Tooth-decay-semantic-segmentation | Logiciel de détection , localisation & segmentation

by Momotoculteur Python Version: Current License: Non-SPDX

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

kandi X-RAY | Tooth-decay-semantic-segmentation Summary

Tooth-decay-semantic-segmentation is a Python library. Tooth-decay-semantic-segmentation has no bugs, it has no vulnerabilities, it has build file available and it has low support. However Tooth-decay-semantic-segmentation has a Non-SPDX License. You can download it from GitHub.

Logiciel de détection, localisation & segmentation de carries sur des radiographies dentaires. Basé sur le réseau de neurones U-Net++. L'article complet du projet est disponible sur :

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Support

Tooth-decay-semantic-segmentation has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Tooth-decay-semantic-segmentation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Tooth-decay-semantic-segmentation is current.

Quality

Tooth-decay-semantic-segmentation has 0 bugs and 0 code smells.

Security

Tooth-decay-semantic-segmentation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Tooth-decay-semantic-segmentation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Tooth-decay-semantic-segmentation has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

Tooth-decay-semantic-segmentation 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, examples and code snippets are available.

It has 4265 lines of code, 207 functions and 70 files.

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

Top functions reviewed by kandi - BETA

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

A Example V3
Batch Normalization
R Example v2
Inverse Resnet block
Load an image
Launch the main routine
Construct a UnetNet
Build a unet network
Get layer number
Unetplus plus multiple convolutions
Transpose a convolution layer
Plot a confusion matrix
Builds a PSP model
Builds an FPN layer
Constructs a nestnet model
Construct an Xnet model
Construct a LinkNet model
Get the info from a file
Predict nconfusion on given image path
WUses WU
Ungnet layer
Basic convolution block
Basic identity block
Transpose 2D block layer
Ask the user for infos
Visualizes the image

Get all kandi verified functions for this library.

Tooth-decay-semantic-segmentation Key Features

No Key Features are available at this moment for Tooth-decay-semantic-segmentation.

Tooth-decay-semantic-segmentation Examples and Code Snippets

No Code Snippets are available at this moment for Tooth-decay-semantic-segmentation.

Community Discussions

No Community Discussions are available at this moment for Tooth-decay-semantic-segmentation.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Tooth-decay-semantic-segmentation

Testé seulement sur Python 3.6.12.
Cloner le répo : $ git clone https://github.com/Momotoculteur/Tooth-decay-semantic-segmentation.git
Installer les modules externes : pip install -r requirements.txt

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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