libcom VS BlendModes

Compare libcom vs BlendModes and see what are their differences.

libcom

Image composition toolbox: everything you want to know about image composition or object insertion (by bcmi)
foreground-object-search image-blending image-composition image-harmonization inharmonious-region-localization object-placement painterly-image-harmonization shadow-generation cross-domain-image-composition generative-image-composition
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BlendModes

Use this module to apply a number of blending modes to a background and foreground image (by FHPythonUtils)
Python Python3 blendmodes image-blending
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libcom BlendModes
1 1
200 29
12.5% -
8.1 6.3
9 days ago about 1 month ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

libcom

Posts with mentions or reviews of libcom. We have used some of these posts to build our list of alternatives and similar projects.

BlendModes

Posts with mentions or reviews of BlendModes. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing libcom and BlendModes you can also consider the following projects:

image-blending-opencv - A simple example of blending 2 images with OpenCV

Image-Harmonization-Dataset-iHarmony4 - [CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc.

Awesome-Image-Composition - A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.

Object-Shadow-Generation-Dataset-DESOBA - [AAAI 2022] The first dataset on foreground object shadow generation for image composition in real-world scenes. The code used in our paper "Shadow Generation for Composite Image in Real-world Scenes", AAAI2022. Useful for shadow generation, shadow removal, image composition, etc.

celery - Distributed Task Queue (development branch)

gomp - Alpha compositing operations and blending modes in Go.

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

rich - Rich is a Python library for rich text and beautiful formatting in the terminal.

libcom vs image-blending-opencv BlendModes vs image-blending-opencv libcom vs Image-Harmonization-Dataset-iHarmony4 BlendModes vs Awesome-Image-Composition libcom vs Object-Shadow-Generation-Dataset-DESOBA BlendModes vs celery libcom vs gomp BlendModes vs fastapi libcom vs Awesome-Image-Composition BlendModes vs rich