gluon-cv VS photo2cartoon

Compare gluon-cv vs photo2cartoon and see what are their differences.

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gluon-cv photo2cartoon
1 1
5,751 3,863
0.9% 1.6%
1.8 10.0
over 1 year ago almost 2 years 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.

gluon-cv

Posts with mentions or reviews of gluon-cv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-30.

photo2cartoon

Posts with mentions or reviews of photo2cartoon. We have used some of these posts to build our list of alternatives and similar projects.
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What are some alternatives?

When comparing gluon-cv and photo2cartoon you can also consider the following projects:

Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

VolleyVision - Applying Deep Learning Approaches to Volleyball Data

Anime2Sketch - A sketch extractor for anime/illustration.

hagrid - HAnd Gesture Recognition Image Dataset

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

AgML - AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

YOLOv3_TensorFlow - Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.