face-parsing.PyTorch VS Pytorch-UNet

Compare face-parsing.PyTorch vs Pytorch-UNet and see what are their differences.

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face-parsing.PyTorch Pytorch-UNet
4 2
2,092 8,397
- -
0.0 3.9
12 months ago 3 months ago
Python Python
MIT License GNU General Public License v3.0 only
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face-parsing.PyTorch

Posts with mentions or reviews of face-parsing.PyTorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-27.

Pytorch-UNet

Posts with mentions or reviews of Pytorch-UNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-17.

What are some alternatives?

When comparing face-parsing.PyTorch and Pytorch-UNet you can also consider the following projects:

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

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

SemanticSegmentation - A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

unet-nested-multiple-classification - This repository contains code for a multiple classification image segmentation model based on UNet and UNet++

deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.