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Awesome GitHub RepositoriesSequence Decoding Models
Models that map visual features to text sequences without explicit character segmentation.
Distinguishing note: Specifically addresses sequence-based decoding for OCR, distinct from general sequence-to-sequence models.
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Awesome Sequence Decoding Models GitHub Repositories
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- JaidedAI/EasyOCR
JaidedAI/EasyOCR
28,980View on GitHubEasyOCR is a deep learning-based computer vision library designed to perform optical character recognition on images and video frames. It functions as a comprehensive pipeline that automates the transformation of visual text into machine-readable strings, enabling the digitization of physical documents, forms, and receipts into searchable data. The engine distinguishes itself through a multi-stage processing workflow that combines convolutional neural networks for spatial feature extraction with sequence-based decoding mechanisms. This architecture allows the system to identify and interpret
Maps visual character features to text strings using sequence-based decoding mechanisms.
Pythoncnncrnndata-mining
