Car-ND-Semantic-Segmentation | images using a Fully Convolutional Network

by hq-jiang Python Version: Current License: No License

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

kandi X-RAY | Car-ND-Semantic-Segmentation Summary

Car-ND-Semantic-Segmentation is a Python library. Car-ND-Semantic-Segmentation has no bugs, it has no vulnerabilities and it has low support. However Car-ND-Semantic-Segmentation build file is not available. You can download it from GitHub.

In this project, you'll label the pixels of a road in images using a Fully Convolutional Network (FCN).

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Quality

Security

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Support

Car-ND-Semantic-Segmentation has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Car-ND-Semantic-Segmentation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Car-ND-Semantic-Segmentation is current.

Quality

Car-ND-Semantic-Segmentation has no bugs reported.

Security

Car-ND-Semantic-Segmentation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Car-ND-Semantic-Segmentation does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Car-ND-Semantic-Segmentation releases are not available. You will need to build from source code and install.

Car-ND-Semantic-Segmentation 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.

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Car-ND-Semantic-Segmentation Key Features

No Key Features are available at this moment for Car-ND-Semantic-Segmentation.

Car-ND-Semantic-Segmentation Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install Car-ND-Semantic-Segmentation

Make sure you have the following is installed:. Download the Kitti Road dataset from here. Extract the dataset in the data folder. This will create the folder data_road with all the training a test images.
Python 3
TensorFlow
NumPy
SciPy

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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