cp-VTryon-plus-Flask-App

Flask App version of https://github.com/minar09/cp-vton-plus

This is CPU based version.

if you find any problem feel free to raise issue.

what's new [Oct 2023]

• Python 3.11 support
• Supporting new version of torch and torchvision.
  • torch = 2.0.1
  • torchvision = 0.15
  • opencv = 4.8.1.78
• fix all the deprecated warning of torch and resolve all isuses regarding dependency.
• now you can upload .JPG, .png/.PNG and .jpeg/.JPEG files. (resolve the .jpg dependency).
• showing both images on result page. original and result.

Installation

pip install -r requirements.txt

python application.py

Input and result image folder structure

├── static
│   ├── data
│   │   ├── input
│   │   │   ├── cloth
│   │   │   ├── cloth-mask
│   │   │   ├── image
│   │   │   ├── image-mask
│   │   │   ├── image-parse
│   │   │   ├── image-parse-new
│   │   │   ├── pose
│   │   │   ├── warp-cloth
│   │   │   ├── warp-mask
│   │   ├── grid.png
│   │   ├── test_sample_pair.txt
│   └── result (Auto generated)
│       ├── TOM 
│       ├── GMM

Pretrained Models

Download the these models and paste in folder "tryon_utils/checkpoints/"

• Tryon Models
  • paste in checkpoints/GMM and checkpoints/TOM
• Graphonomy inference.pth
  • paste in checkpoints/
• OpenPose model
  • paste in checkpoints/