The algorithm run a ICR cell-detection analysis. It only focuses on paper-based forms. Because handwriting text represents valuable data. They can help automatically detect entities involved. Printed characters can be processed by tesseract.
Release files for openfieldreaderwrapper 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| openfieldreaderwrapper-1.0.1.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| openfieldreaderwrapper-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.0 kB
Release files / openfieldreaderwrapper-1.0.1.tar.gz
| Download URL | openfieldreaderwrapper-1.0.1.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.6
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Release files / openfieldreaderwrapper-1.0.1-py3-none-any.whl
| Download URL | openfieldreaderwrapper-1.0.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.6
|