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MLOps Level 2 for Word-level & Pose-based Sign Language Interpreter (Sprint 3)
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MLOps Level 2 for Word-level & Pose-based Sign Language Interpreter (Sprint 3)
Our input will be a video of deaf individuals using sign language and the output will be the corresponding English text. The solution pipeline is structured as follows: 1. Pose-to-Gloss: I utilized MediaPipe to extract facial and hand landmarks from each frame. These coordinates will be formatted correctly and fed into a Transformer model. The ...
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