virtual-try-on-trial-clothes

One of the key features of this web application is its virtual try-on feature, which allows users to see how different clothing items would look on them. This feature eliminates the need for users to physically try on clothes in a store, making the shopping experience more convenient and efficient.

https://github.com/sirichandana7/virtual-try-on-trial-clothes

Keywords

data-science deep-learning-algorithms deep-neural-networks machine-learning-algorithms numpy-arrays pandas-library pil python3 pytorch tensorflow

Last synced: 6 months ago · JSON representation ·

Repository

One of the key features of this web application is its virtual try-on feature, which allows users to see how different clothing items would look on them. This feature eliminates the need for users to physically try on clothes in a store, making the shopping experience more convenient and efficient.

Basic Info

Host: GitHub
Owner: Sirichandana7
Language: Python
Default Branch: main
Homepage:
Size: 80.1 KB

Statistics

Stars: 14
Watchers: 1
Forks: 4
Open Issues: 2
Releases: 0

Topics

data-science deep-learning-algorithms deep-neural-networks machine-learning-algorithms numpy-arrays pandas-library pil python3 pytorch tensorflow

Created over 2 years ago · Last pushed over 2 years ago

Metadata Files

Readme Citation

README.md

Virtual try on trail using Deep Learning Neural Networks

A Deep Learning based Fashion Recommender System using code that demonstrates the integration of PyTorch and TensorFlow to implement the CP-VTON (Cloth-Person Virtual Try-On) framework.

By combining the strengths of these two industry-standard deep learning libraries, I have developed a robust solution that facilitates accurate cloth-person alignment and realistic garment fitting.

Key Features:

PyTorch and TensorFlow Fusion: Leveraging the strengths of both frameworks, I have optimized the architecture for real-time inference while maintaining the precision of PyTorch's dynamic computation graph and TensorFlow's efficient deployment capabilities.

CP-VTON Implementation: I have meticulously implemented the CP-VTON framework, which involves parsing the clothing items and generating realistic draped garments on the target person's image. This process ensures that the virtual try-on outcome is both visually appealing and true to life.

Model Training and Optimization: The repository includes detailed code for training the CP-VTON model on custom datasets, and optimizing it for high-quality output. I have also explored techniques for handling diverse clothing styles, poses, and lighting conditions to enhance the versatility of the virtual try-on solution.

Documentation and Usage: Clear and concise documentation guides you through setting up the environment, data preprocessing, model training, and deployment. I have included example code snippets for running inference on sample images, allowing recruiters to quickly grasp the project's functionality.

By exploring this repository, you will witness my expertise in deep learning, fashion technology, and software engineering. My commitment to creating a captivating virtual try-on experience can contribute significantly to enhancing the e-commerce landscape.

Output :

Owner

Name: Mannava siri chandana
Login: Sirichandana7
Kind: user

Repositories: 1
Profile: https://github.com/Sirichandana7

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Official implementation for "CP-VTON+: Clothing
  Shape and Texture Preserving Image-Based Virtual
  Try-On" from CVPRW 2020.
message: >-
  If you use this code and dataset, please cite it
  using the metadata from this file. Also, please
  cite the paper separately as well.
type: software
authors:
  - given-names: Matiur Rahman
    family-names: Minar
    email: minar09.bd@gmail.com
    orcid: 'https://orcid.org/0000-0002-3128-2915'
  - given-names: Thanh Tuan
    family-names: Thai
    email: thaithanhtuan1987@gmail.com
    orcid: 'https://orcid.org/0000-0003-2748-0529'
identifiers:
  - type: url
    value: 'https://github.com/minar09/cp-vton-plus'
    description: public URL for the code and dataset
repository-code: 'https://github.com/minar09/cp-vton-plus'
url: 'https://minar09.github.io/cpvtonplus/'
repository: 'https://github.com/minar09/cp-vton-plus'
abstract: >-
  CP-VTON+ (CVPRW 2020)

  Official implementation for "CP-VTON+: Clothing
  Shape and Texture Preserving Image-Based Virtual
  Try-On" from CVPRW 2020.

  Project page:
  https://minar09.github.io/cpvtonplus/.

  Saved/Pre-trained models: Checkpoints

  Dataset: VITON_PLUS

  The code and pre-trained models are tested with
  pytorch 0.4.1, torchvision 0.2.1, opencv-python 4.1
  and pillow 5.4 (Python 3 env).
keywords:
  - Virtual try-on
  - Fashion
license: MIT

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