This study presents a comprehensive evaluation of tools available on the
HuggingFace platform for two pivotal applications in artificial intelligence:
image segmentation and voice conversion. The primary objective was to identify
the top three tools within each category and subsequently install and configure
these tools on Linux systems. We leveraged the power of pre-trained
segmentation models such as SAM and DETR Model with ResNet-50 backbone for
image segmentation, and the so-vits-svc-fork model for voice conversion. This
paper delves into the methodologies and challenges encountered during the
implementation process, and showcases the successful combination of video
segmentation and voice conversion in a unified project named AutoVisual Fusion
Suite.Comment: 27 pages, 21 figure