Revolutionizing Fashion with Virtual Try-On Experiences
摘要
It takes a long time to try on clothes in person, and most online shopping sites don’t let you see things before you buy them, which stops people from buying clothes. E-commerce is growing quickly, particularly because of the COVID-19 epidemic. Consumers need a means to see clothing before they buy them. In this project, we show how to use OpenCV to build a virtual fitting room software that lets people see how their selected garments look on their live webcam stream in real time. By bridging the gap between conventional in-store fitting and internet retail, our technology cuts down on uncertainty, saves time, and makes buying online better. Experimental findings indicate that this method may enhance customer satisfaction and decrease return rates for online apparel merchants.