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unet_clothes_seg
trungtruc/unet_clothes_seg
unet_clothes_seg is a machine learning model from trungtruc. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is project help clothes segmentation and used algorithm remove noise and anti-aliasing to improve quality. Architecture model UNet used to train 🎁 SegmentClothes allows clothes segment use architecture model Unet
Access
Public
Updated Oct 31, 2023
Repo size
188 MB
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0
Public
Repo makeup
Click a slice to open those files.
.pth177 MB · 94%
At a glance
- Access
- Public
- Created
- Oct 31, 2023
- Updated
- Oct 31, 2023
- SHA
- 8369a2d0
Model card
From the Hugging Face model README
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
outputfolder.
Demo interface with gradio
- Run
python gradio_seg.py - Navigate to local or public url provided by app on successfull execution.
Output samples
- Created
- Oct 31, 2023
- Updated
- Oct 31, 2023