blend_modes | Python package that implements image blend modes | Computer Vision library

by flrs Python Version: v2.1.0 License: MIT

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

kandi X-RAY | blend_modes Summary

blend_modes is a Python library typically used in Artificial Intelligence, Computer Vision applications. blend_modes has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install blend_modes' or download it from GitHub, PyPI.

Python package that implements image blend modes

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Quality

Security

License

Reuse

Support

blend_modes has a low active ecosystem.

It has 112 star(s) with 24 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 13 have been closed. On average issues are closed in 125 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of blend_modes is v2.1.0

Quality

blend_modes has 0 bugs and 5 code smells.

Security

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

blend_modes code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

blend_modes 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

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

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

blend_modes saves you 182 person hours of effort in developing the same functionality from scratch.

It has 450 lines of code, 45 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Create a screen from an image
Checks if an image is a numpy array
Assert that the given opacity is in the given range
Compute the ratio of an image
Applies an image addition
Subtract an image

Get all kandi verified functions for this library.

blend_modes Key Features

No Key Features are available at this moment for blend_modes.

blend_modes Examples and Code Snippets

No Code Snippets are available at this moment for blend_modes.

Community Discussions

Trending Discussions on blend_modes

Uncaught ReferenceError: FUNCTION is not defined within webpack JS bundle

QUESTION

Uncaught ReferenceError: FUNCTION is not defined within webpack JS bundle

Asked 2020-Jan-07 at 23:48

I have recently started using Webpack to manage my packages and have come into some issues when calling functions from my compiled JS bundle.

I am aiming to use pixi.js and fullpage.js in the website and can be done fine through a CDN, but have been using Webpack to learn and keep up with the times, etc.

Errors receive when I call the relevant functions of the external libraries which have been compiled by Webpack.

package.json

...

ANSWER

Answered 2020-Jan-07 at 23:48

Needed to expose the function to the page, followed an answer in this thread which worked just the trick (stackoverflow.com/a/34358513/12458187)

Source https://stackoverflow.com/questions/59617701

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

Vulnerabilities

No vulnerabilities reported

Install blend_modes

The Blend Modes package can be installed through pip:. The blend mode functions expect [Numpy](https://pypi.python.org/pypi/numpy) float arrays in the format [pixels in dimension 1,pixels in dimension 2,4] as an input. Both images needs to have the same size, so the pixels in dimension 1 must be the same for bg_img and fg_img. Same applies to the pixels in dimension 2. Thus, a valid shape of the arrays would be bg_img.shape == (640,320,4) and fg_img.shape == (640,320,4). The order of the channels in the third dimension should be R, G, B, A, where A is the alpha channel. All values should be floats in the range 0.0 ⇐ value ⇐ 255.0. The blend mode functions return arrays in the same format as the input format.