image-statistics-matching VS cvlib

Compare image-statistics-matching vs cvlib and see what are their differences.

image-statistics-matching

Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation (by continental)

cvlib

A simple, high level, easy to use, open source Computer Vision library for Python. (by arunponnusamy)
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image-statistics-matching cvlib
1 1
24 639
- -
2.1 1.1
almost 2 years ago 6 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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image-statistics-matching

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

We haven't tracked posts mentioning image-statistics-matching yet.
Tracking mentions began in Dec 2020.

cvlib

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

We haven't tracked posts mentioning cvlib yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing image-statistics-matching and cvlib you can also consider the following projects:

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

SickZil-Machine - Manga/Comics Translation Helper Tool

tfaug - tensorflow easy image augmentation package

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Spatially-Varying-Blur-Detection-python - python implementation of the paper "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes" - cvpr 2017

auto-blog-banner - 🌌 A Python script to generate blog banners from command line.

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

imgaug - Image augmentation for machine learning experiments.

caer - High-performance Vision library in Python. Scale your research, not boilerplate.