Virtual Dressing Trial Room Using U-Net Algorithm and Propositional Algorithm

Trying clothes in clothing stores is usually a time consuming activity besides it might not even be possible to try on clothes in such cases as online shopping. Our motivation is to increase the time efficiency and improvethe accessibility of clothes try on by creating virtual dressing room environment. In this work, we introduce a virtual dressing room application which is based on two major algorithm. Our proposed approach is mainly based on extraction of the images of clothes from url and alignment of model and matching the user with the uploaded image. In this we have done two major thing of the project which background removal and image matching with the model. In this our project for background removal we used openCv library. Andbased on it U net, Graph cut, R-CNN algorithm are present. In this our project we used U-Net algorithm. For image matching with the user image we have mainly used propositional Scaling algorithm. The whole project is implemented on flask frameworks and Python language.