title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð²ÐµÐ±-Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¿ÑÐ¸Ð¼ÐµÑÐºÐ¸ Ð¾Ð´ÐµÐ¶Ð´Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of web application for try on clothes
Creators: name: Ð¨ÐµÑÐ¼Ð°Ð½, ÐÐ°ÑÐº
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½Ð°Ñ Ð¿ÑÐ¸Ð¼ÐµÑÐºÐ°
machine learning
deep learning
neural networks
virtual try-on

description: ÐÐ¸ÑÑÑÐ°Ð»ÑÐ½Ð°Ñ Ð¿ÑÐ¸Ð¼ÐµÑÐºÐ° â Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ð½Ð¾Ðµ Ð¸ Ð±ÑÑÑÑÐ¾ÑÐ°ÑÑÑÑÐµÐµ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, ÐºÐ¾ÑÐ¾ÑÐ¾Ðµ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¾ Ð½Ð° Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð½ÐµÑÐ½ÐµÐ³Ð¾ Ð²Ð¸Ð´Ð° ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð¿ÑÑÑÐ¼ Ð´Ð¾Ð±Ð°Ð²Ð»ÐµÐ½Ð¸Ñ Ð½Ð¾Ð²ÑÑ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² (Ð¼Ð°ÐºÐ¸ÑÐ¶Ð°, Ð¿Ð°ÑÐ¸ÐºÐ¾Ð²), Ð° ÑÐ°ÐºÐ¶Ðµ Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ (Ð¾Ð´ÐµÐ¶Ð´Ñ). Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÐµ Ð¸ Ð·Ð½Ð°ÑÐ¸Ð¼ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ Ð¿ÑÐ¸Ð¼ÐµÑÐºÐ¸ Ð¾Ð´ÐµÐ¶Ð´Ñ. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð±ÑÐ»Ð° Ð²ÑÐ±ÑÐ°Ð½Ð° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ PF-AFN, Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÑÑÑÐ°Ñ Ð½Ð°Ð¸Ð»ÑÑÑÐ¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¿ÑÐ¸ Ð½Ð°Ð¸Ð¼ÐµÐ½ÑÑÐ¸Ñ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸ÑÑ Ðº Ð²ÑÐ¾Ð´Ð½ÑÐ¼ Ð´Ð°Ð½Ð½ÑÐ¼. Ð Ð¿ÑÐ¾ÑÐµÑÑÐµ ÑÐ°Ð±Ð¾ÑÑ Ð½Ð°Ð´ Ð²ÑÐ±ÑÐ°Ð½Ð½ÑÐ¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð¼ Ð±ÑÐ»Ð¾ Ð½Ð°Ð¹Ð´ÐµÐ½Ð¾ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ð¾ Ð¾Ð³ÑÐ°Ð½Ð¸ÑÐµÐ½Ð¸Ð¹ ÑÑÑÐµÑÑÐ²ÑÑÑÐµÐ¹ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸, Ð² ÑÐ²ÑÐ·Ð¸ Ñ ÑÐµÐ¼ Ð¾Ð½Ð° Ð±ÑÐ»Ð° Ð¼Ð¾Ð´Ð¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð° Ñ ÑÑÑÑÐ¾Ð¼ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸, ÑÐ°ÐºÐ¸Ñ ÐºÐ°Ðº Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ ÑÐ¾ ÑÐ¼ÐµÑÐ°Ð½Ð½Ð¾Ð¹ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð¸ ÑÐ°ÑÐ¿ÑÐµÐ´ÐµÐ»ÑÐ½Ð½Ð¾Ðµ ÑÐ°ÑÐ¿Ð°ÑÐ°Ð»Ð»ÐµÐ»Ð¸Ð²Ð°Ð½Ð¸Ðµ Ð´Ð°Ð½Ð½ÑÑ. ÐÑÐ¸ ÑÑÐ¾Ð¼ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ Ð½Ðµ Ð¿Ð¾Ð²Ð»Ð¸ÑÐ»Ð° Ð½Ð° ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¸ÑÐ¾Ð³Ð¾Ð²Ð¾Ð³Ð¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°, ÐºÐ°Ðº Ð¿Ð¾ÐºÐ°Ð·Ð°Ð»Ð¸ Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð½ÑÐµ Ð¼ÐµÑÑÐ¸ÐºÐ¸. ÐÐ»Ñ Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ°ÑÐ¸Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½Ð¸Ð¼Ð¾ÑÑÐ¸ Ð¼ÐµÑÐ¾Ð´Ð° Ð² Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½ÑÑ ÑÐµÑÐµÐ½Ð¸ÑÑ Ð±ÑÐ»Ð¾ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð¾ Ð¿ÑÐ¾ÑÑÐ¾Ðµ Ð²ÐµÐ±-Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐµÐµ Ð»ÑÐ±Ð¾Ð¼Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ Ð¿ÑÐ¸Ð¼ÐµÑÐ¸ÑÑ Ð¸Ð½ÑÐµÑÐµÑÑÑÑÐ¸Ð¹ ÑÐ»ÐµÐ¼ÐµÐ½Ñ Ð³Ð°ÑÐ´ÐµÑÐ¾Ð±Ð°.
description: Virtual Try-on is a promising and fast-growing area of deep learning, which aims to transform the human appearance by adding new features (makeup, wigs), as well as changing existing ones (clothes). This paper considers the most popular and meaningful methods of virtual try-on clothes. The PF-AFN neural network was chosen as the main algorithm, which demonstrates the best results with the smallest input data requirements. During the work on the selected algorithm, many limitations of the existing implementation were found, so it was modified to take into account modern optimization methods, such as mixed precision learning and distributed data parallelization. At the same time the optimization did not affect the quality of the final result, as shown by the calculated metrics. To demonstrate the applicability of the method to industrial solutions, a simple web application was developed, allowing any user to try on the closet item of interest.