dagpi-image | powerful Image Manipulation API that supports multiple | Computer Vision library

by Daggy1234 Python Version: Current License: No License

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

kandi X-RAY | dagpi-image Summary

dagpi-image is a Python library typically used in Artificial Intelligence, Computer Vision, Docker applications. dagpi-image has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A powerful Image Manipulation API that supports multiple formats and a pethora of endpoints.

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Quality

Security

License

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Support

dagpi-image has a low active ecosystem.

It has 8 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

dagpi-image has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dagpi-image is current.

Quality

dagpi-image has 0 bugs and 0 code smells.

Security

dagpi-image has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dagpi-image code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dagpi-image 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

dagpi-image releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 3218 lines of code, 250 functions and 28 files.

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

Top functions reviewed by kandi - BETA

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

Generate a tweet
Write text to image
Calculate the size of a given text
Write text box
Convert url to bytes
Get an HTTP session
Manipulate an image
Create an Image from bytes
Download an image
Concatenates a function to a bytes object
Puts an image
Gets the reason for the reason of the reason to see the reason
Return auth model for given token
Apply a function to a numpy array
Send a comment on youtube
Manipulate static PIL image
Response for bad image found
Wrapper for wand_static_static
Perform a double - image multiprocessing
Draws the text of the image
Creates an image comment
Manipulate a PIL image
Quote an image
Creates a captcha
Apply a function to an image
Decorator to make a polaroid image

Get all kandi verified functions for this library.

dagpi-image Key Features

No Key Features are available at this moment for dagpi-image.

dagpi-image Examples and Code Snippets

No Code Snippets are available at this moment for dagpi-image.

Community Discussions

Trending Discussions on dagpi-image

Pickling Python Function fails with ProcessPoolExecutor in a decorator

QUESTION

Pickling Python Function fails with ProcessPoolExecutor in a decorator

Asked 2021-Mar-22 at 13:51

So I asked this question and tried the ProcessPoolExecutor approach. I used the decorator suggested the following way:

Running Image Manipulation in run_in_executor. Adapting to multiprocessing

...

ANSWER

Answered 2021-Mar-22 at 13:51

Decorators typically produce wrapped functions that aren't easy to pickle (serialize) because they contain hidden state. When dealing with multiprocessing, you should avoid decorators and send ordinary global functions to run_in_executor. For example, you could re-write your executor decorator into a utility function:

Source https://stackoverflow.com/questions/66733924

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

Vulnerabilities

No vulnerabilities reported

Install dagpi-image

You can download it from GitHub.
You can use dagpi-image 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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