fsoco | Formula Student Objects in Context Dataset

by ddavid Python Version: Current License: Apache-2.0

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

kandi X-RAY | fsoco Summary

fsoco is a Python library. fsoco has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However fsoco build file is not available. You can download it from GitHub.

Formula Student Objects in Context Dataset for the Formula Student Driverless competitions

Support

Quality

Security

License

Reuse

Support

fsoco has a low active ecosystem.

It has 46 star(s) with 55 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 4 have been closed. On average issues are closed in 38 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fsoco is current.

Quality

fsoco has 0 bugs and 0 code smells.

Security

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

fsoco code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fsoco is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

fsoco has no build file. You will be need to create the build yourself to build the component from source.

fsoco saves you 186464 person hours of effort in developing the same functionality from scratch.

It has 188350 lines of code, 33 functions and 3650 files.

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

Top functions reviewed by kandi - BETA

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

Convert images from cwd files to images
Create image json file
Create object list
Convert an image
Convert box to pixel coordinates
Create a meta file
Rename files
Parse command line arguments
Get color of a cone class
Return a list of class names
Get images from path
Get command line arguments
Parse command line options
Get all files in a directory
Save augmented images
Determine if a directory is undistorted
Convert coco images to yolo images
Convert coco annotations to yolo annotations
Helper function for normalize annotations
Copy the images to the darknet images

Get all kandi verified functions for this library.

fsoco Key Features

No Key Features are available at this moment for fsoco.

fsoco Examples and Code Snippets

No Code Snippets are available at this moment for fsoco.

Community Discussions

No Community Discussions are available at this moment for fsoco.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install fsoco

You can download it from GitHub.
You can use fsoco 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

We have set a minimum contribution amount of 600 images. Small enough not to be a large burden and large enough for the data set to grow naturally. Sharing is caring. This data set lives from your contribution. If you don't have access to FS Cones we can provide you with raw data. This way, newer teams get an easy way to buy-in.

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