rembg-greenscreen VS segmentation_models

Compare rembg-greenscreen vs segmentation_models and see what are their differences.

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rembg-greenscreen segmentation_models
2 8
253 4,611
- -
0.0 0.0
12 months ago 4 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.
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.

rembg-greenscreen

Posts with mentions or reviews of rembg-greenscreen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-26.

segmentation_models

Posts with mentions or reviews of segmentation_models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

What are some alternatives?

When comparing rembg-greenscreen and segmentation_models you can also consider the following projects:

backgroundremover - Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.

nnUNet

U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

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

SegmentationCpp - A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

unet - unet for image segmentation

coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)