Comments (2)
Splitting the text extraction pipeline into separate issues:
- Bounding box detection - TrOCR is a textline tool and requires these lines to be extracted first. Whole images yield very poor predictions with few tokens.
- Text inference on bounding boxes to extract all text in image.
- Text summarization to extract important information. #32
- Ability to fine tune text extraction (requires bounding box detection).
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Merging the branch for now with ability to run inference on textlines, assuming they are extracted correctly.
projects/ComputerVision/ocr_receipts_sroie/trocr_inference.py
WIPs for training are also available. Ideally, these would be backed up as tags rather than being merged into the main branch, but these are scripts and therefore are low risk.
projects/ComputerVision/ocr_receipts_sroie
projects/ComputerVision/kaggle_ocr_receipts
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Related Issues (20)
- Implement sentiment chatbot using several public models
- Movie review sentiment analysis HOT 1
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- Upload Docker container to AWS as demo
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