PointSeg | This repository is the pytorch implementation of PointSeg | Machine Learning library

by ArashJavan Python Version: Current License: No License

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

kandi X-RAY | PointSeg Summary

PointSeg is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. PointSeg has no bugs, it has no vulnerabilities and it has low support. However PointSeg build file is not available. You can download it from GitHub.

This repository is the pytorch implementation of PointSeg.

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Quality

Security

License

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Support

PointSeg has a low active ecosystem.

It has 10 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PointSeg is current.

Quality

PointSeg has 0 bugs and 0 code smells.

Security

PointSeg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PointSeg code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PointSeg 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

PointSeg releases are not available. You will need to build from source code and install.

PointSeg 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.

It has 887 lines of code, 50 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Main worker function
Test the model
Validate the loss function
Train the model
Calculate evaluation metrics
Updates the statistics
Displays a batch
Normalize image
Save checkpoint to file
Visualize the segmentation
Custom draw geometry load option

Get all kandi verified functions for this library.

PointSeg Key Features

No Key Features are available at this moment for PointSeg.

PointSeg Examples and Code Snippets

No Code Snippets are available at this moment for PointSeg.

Community Discussions

Trending Discussions on PointSeg

LineCollections for few lines with a single colorbar

QUESTION

LineCollections for few lines with a single colorbar

Asked 2021-Apr-25 at 17:39

I'm trying to plot some lines using LineCollection in a plot. Each of these lines is needed to be mapped to colorbar whose range varies for each lines. I tried as explained here

https://matplotlib.org/stable/gallery/lines_bars_and_markers/multicolored_line.html?highlight=line%20collection

In the end, I want a single colorbar, for let's say three lines, covering all ranges. However, the colorbar is set for the last line values. So I looked here

https://matplotlib.org/stable/gallery/images_contours_and_fields/multi_image.html

But I'm not being successful since I'm quite new to Matplotlib. I paste my code below. I'm just trying to map the value of the lines (also shown on y-axis) in a colorbar for all three lines. Any help is appreciated.

...

ANSWER

Answered 2021-Apr-25 at 12:30

I have modified your code. Essentially what you need to do is create a norm instance for the entire dataset and then assign color values to the segments according to the colormap you have with the given norm. You can then pass it to the colorbar accordingly.

As such

Source https://stackoverflow.com/questions/67253190

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

Vulnerabilities

No vulnerabilities reported

Install PointSeg

You can download it from GitHub.
You can use PointSeg 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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