scalableOcrs
Python package related to scaling searches
import scalableOcrs
from scalableOcrs import ocr
from pprint import pprint
if __name__=="__main__":
N = 2
pdf_path = [
r"C:\Users\gprak\Downloads\Github Repos\Portfolio-Site\resume\resume.pdf"
]*N
det_arch="linknet_resnet50"
reco_arch="crnn_vgg16_bn"
progress_bar = True
texts = ocr.extract_text_from_pdfs(pdf_path,det_arch,reco_arch,progress_bar)
pprint(texts)
Metadata
Release files for scalableOcrs 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scalableocrs-0.0.2.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scalableocrs-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.5 kB
Release files / scalableocrs-0.0.2.tar.gz
| Download URL | scalableocrs-0.0.2.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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / scalableocrs-0.0.2-py3-none-any.whl
| Download URL | scalableocrs-0.0.2-py3-none-any.whl |
|---|---|
| Size | 2.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9f6f30424e34c4444378be02b128b2427eca0a3901cb95a0d7fc7efbb7ce8d8c
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|