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trungtruc/
unet_clothes_seg

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Segment_Clothes

This is project help clothes segmentation and used algorithm remove noise and anti-aliasing to improve quality. Architecture model UNet used to train 🎁 Segment_Clothes allows clothes segment use architecture model Unet

🎁 This repository use algorithm help remove noise and anti-aliasing to improve quality

💬 Where to ask questions

Please use our dedicated channels for questions and discussion. Help is much more valuable if it's shared publicly so that more people can benefit from it.

Type	Platforms
🚨 Bug Reports	GitHub Issue
🎁 Feature Requests & Ideas	GitHub Issue
👩‍💻 Usage Questions	Github Discussions
🗯 General Discussion	Linkedin or Gitter Room

🔗 Links and Resources

Type	Links
💼 Pretrain model	Link download pretrain model
💾 Installation	Control-StableDiffusion/README.md
👩‍💻 Contributing	CONTRIBUTING.md

Inference

clone the repo `git clone https://github.com/trungtruc123/Segment_Clothes.git
Install dependencies pip install -r requirements.txt
Download pretrain model and save at folder model ('model/unet_cloth_seg.pth').
Run python process.py --image 'input/img1.jpg'
Outputs will be saved in output folder.

Demo interface with gradio

Run python gradio_seg.py
Navigate to local or public url provided by app on successfull execution.

Output samples

trungtruc/unet_clothes_seg