ocr-ops
OCR-Ops is infrastructure to perform Optimal Character Recognition (OCR) at scale on a large number of images and videos. Built on top of the algo-ops framework, OCR-Ops is modular and extensible in its data processing operations.
Key Features:
- Supports building an OCRPipeline that can utilize multiple popular OCR annotation methods (e.g. PyTesseract, EasyOCR, etc.) and return the results in structured and efficient fashion within a unified framework.
- Enables multi-levels of information of the OCR application (e.g. text-only, bounding boxes, etc.)
- Allows definition of an image pre-processing pipeline (before OCR) and a text-cleaning pipeline (after OCR) of detected but noisy text to enable optimal and robust OCR performance.
- Supports several nice presets that are plug-and-play for the above purpose!
1 maintainer
Release files for ocr-ops 0.0.0.4.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ocr_ops-0.0.0.4.3.2.tar.gz | 453.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ocr_ops-0.0.0.4.3.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 913.6 kB
Release files / ocr_ops-0.0.0.4.3.2.tar.gz
| Download URL | ocr_ops-0.0.0.4.3.2.tar.gz |
|---|---|
| Size | 453.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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python-httpx/0.26.0
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Release files / ocr_ops-0.0.0.4.3.2-py2.py3-none-any.whl
| Download URL | ocr_ops-0.0.0.4.3.2-py2.py3-none-any.whl |
|---|---|
| Size | 460.1 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.26.0
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