fast-style-transfer VS OpenCV

Compare fast-style-transfer vs OpenCV and see what are their differences.

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fast-style-transfer OpenCV
4 196
10,866 75,566
- 1.6%
0.0 9.9
10 months ago 4 days ago
Python C++
- Apache License 2.0
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.

fast-style-transfer

Posts with mentions or reviews of fast-style-transfer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-15.

OpenCV

Posts with mentions or reviews of OpenCV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-13.

What are some alternatives?

When comparing fast-style-transfer and OpenCV you can also consider the following projects:

VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

libvips - A fast image processing library with low memory needs.

randomCNN-voice-transfer - Audio style transfer with shallow random parameters CNN.

VTK - Mirror of Visualization Toolkit repository

animegan2-pytorch - PyTorch implementation of AnimeGANv2

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Styleformer - A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

CImg - The CImg Library is a small and open-source C++ toolkit for image processing

examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80