image_utility | Handy python scripts for image dataset processing | Computer Vision library

by yinguobing Python Version: Current License: MIT

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

kandi X-RAY | image_utility Summary

image_utility is a Python library typically used in Artificial Intelligence, Computer Vision, Numpy applications. image_utility has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However image_utility build file is not available. You can download it from GitHub.

Handy python scripts for image data-set processing.

Support

Quality

Security

License

Reuse

Support

image_utility has a low active ecosystem.

It has 65 star(s) with 38 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 5 have been closed. On average issues are closed in 59 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of image_utility is current.

Quality

image_utility has no bugs reported.

Security

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

License

image_utility is licensed under the MIT License. This license is Permissive.

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

Reuse

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

image_utility 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.

Top functions reviewed by kandi - BETA

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

Extract face from a file
Detects the face of the given image
Reads an image file
Calculates valid points
Return a valid bounding box
Exports a face into an image
Expand a square box
Checks if a set of points is inside a box
Check whether the given box is valid
Fit a box
Runs VOC2012
Get the bounding box of the xml file
View the markdown image
Reads the points from a file
View a JSON file
Read an image
Check if points are within a box
Parse raw labels
Load labeled labels
Get the bounding box of an image
Get the facebox of the given image
Calculate bluress of an image
Extract local image from image
Check the size of the image
Read points from a file
Put heatmap on a heatmap
Generate list of files
Draw a result
Count the number of files in a directory
Save the list of files

Get all kandi verified functions for this library.

image_utility Key Features

No Key Features are available at this moment for image_utility.

image_utility Examples and Code Snippets

No Code Snippets are available at this moment for image_utility.

Community Discussions

Trending Discussions on image_utility

Subset_name = head.split('/')[-2] IndexError: list index out of range

QUESTION

Subset_name = head.split('/')[-2] IndexError: list index out of range

Asked 2019-Jul-17 at 00:07

I'm trying to execute a script that extracts face from the ibug dataset.

...

ANSWER

Answered 2019-May-16 at 11:06

Your code is expecting file_name to contain forward slashes / and is deriving the subset name from an element of the path to the file. But you are on a Windows system and your system path separator is /. So you need to fix the call to split(). Try this platform-independent version of the same thing:

Source https://stackoverflow.com/questions/56166760

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

Vulnerabilities

No vulnerabilities reported

Install image_utility

You can download it from GitHub.
You can use image_utility 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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