YOSO

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    Our works

    Virtual furniture fitting room using computer vision (CV)

    Technologies: Python, OpenCV and others Adaptation of advanced segmentation and detection models for accurate recognition of furniture and other objects in images. This has significantly improved the accuracy and quality of object selection. Modern contour post-processing technologies have been applied, which have improved the detail and ensured the exact overlap of elements such as wallpaper, floors and ceilings. The use of the diffusion model made it possible to completely remove objects from the images, restoring in detail the missing voids of the room.