PaddleViT VS sigmarsgarden

Compare PaddleViT vs sigmarsgarden and see what are their differences.

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PaddleViT sigmarsgarden
2 1
1,169 3
- -
0.0 0.0
over 1 year ago over 1 year ago
Python Java
Apache License 2.0 GNU Affero General Public License v3.0
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.

PaddleViT

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

sigmarsgarden

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

What are some alternatives?

When comparing PaddleViT and sigmarsgarden you can also consider the following projects:

FastestDet - :zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

Awesome-ComputerVision - Awesome-ComputerVision

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

photonvision - PhotonVision is the free, fast, and easy-to-use computer vision solution for the FIRST Robotics Competition.

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

JavaCV - Java interface to OpenCV, FFmpeg, and more

SINet - Camouflaged Object Detection, CVPR 2020 (Oral)

convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

PyTorch-Vision-Transformer-ViT-MNIST-CIFAR10 - Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.

ttach - Image Test Time Augmentation with PyTorch!

ml-cvnets - CVNets: A library for training computer vision networks

inference - A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.