STL10 | Python utilities for reading the STL-10 dataset | 3D Printing library

 by   mttk Python Version: Current License: No License

kandi X-RAY | STL10 Summary

kandi X-RAY | STL10 Summary

STL10 is a Python library typically used in Modeling, 3D Printing applications. STL10 has no bugs, it has no vulnerabilities and it has low support. However STL10 build file is not available. You can download it from GitHub.

After battling for some time with reading the STL-10 dataset from the raw binary files in python 2.7, I've managed to load them quite easily and I'm sharing the solution here in hopes of saving time for other people. The usage is relatively straightforward, the file stl10_input.py contains all the necessary methods for downloading and reading data along with a test main funct for displaying an image.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              STL10 has a low active ecosystem.
              It has 86 star(s) with 35 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 3 have been closed. On average issues are closed in 38 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of STL10 is current.

            kandi-Quality Quality

              STL10 has 0 bugs and 0 code smells.

            kandi-Security Security

              STL10 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              STL10 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              STL10 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              STL10 releases are not available. You will need to build from source code and install.
              STL10 has no build file. You will be need to create the build yourself to build the component from source.
              STL10 saves you 30 person hours of effort in developing the same functionality from scratch.
              It has 81 lines of code, 8 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed STL10 and discovered the below as its top functions. This is intended to give you an instant insight into STL10 implemented functionality, and help decide if they suit your requirements.
            • Save images to disk
            • Save an image
            • Read all images from file
            • Download and extract a tarball
            • Read a single image file
            • Read the labels from a file
            • Plot an image
            Get all kandi verified functions for this library.

            STL10 Key Features

            No Key Features are available at this moment for STL10.

            STL10 Examples and Code Snippets

            No Code Snippets are available at this moment for STL10.

            Community Discussions

            QUESTION

            how to load one type of image in cifar10 or stl10 with pytorch
            Asked 2020-Dec-06 at 20:56

            This is a very simple question, I'm just trying to select a specific class of images (eg "car") from a standard pytorch image dataset. At the moment the data loader looks like this:

            ...

            ANSWER

            Answered 2020-Dec-06 at 20:56

            QUESTION

            Pytorch DataLoader - Choose Class STL10 Dataset
            Asked 2018-Jul-14 at 18:05

            Is it possible to pull only where class = 0 in the STL10 dataset in PyTorch torchvision? I am able to check them in a loop, but need to receive batches of class 0 images

            ...

            ANSWER

            Answered 2018-Jul-14 at 13:07

            If you only want samples from one class, you can get the indices of samples with the same class from the Dataset instance with something like

            Source https://stackoverflow.com/questions/51334858

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

            Vulnerabilities

            No vulnerabilities reported

            Install STL10

            You can download it from GitHub.
            You can use STL10 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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/mttk/STL10.git

          • CLI

            gh repo clone mttk/STL10

          • sshUrl

            git@github.com:mttk/STL10.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular 3D Printing Libraries

            OctoPrint

            by OctoPrint

            openscad

            by openscad

            PRNet

            by YadiraF

            PrusaSlicer

            by prusa3d

            openMVG

            by openMVG

            Try Top Libraries by mttk

            rnn-classifier

            by mttkPython

            AIclass

            by mttkPython

            wiki_preproc

            by mttkPython

            book-notes

            by mttkShell

            ProjectEuler

            by mttkPython