Calamari bindings
Project description
ocrd_calamari
Recognize text using Calamari OCR.
Introduction
This offers a OCR-D compliant workspace processor for some of the functionality of Calamari OCR.
This processor only operates on the text line level and so needs a line segmentation (and by extension a binarized image) as its input.
Example Usage
ocrd-calamari-recognize -p test-parameters.json -m mets.xml -I OCR-D-SEG-LINE -O OCR-D-OCR-CALAMARI
With test-parameters.json
:
{
"checkpoint": "/path/to/some/trained/models/*.ckpt.json"
}
TODO
- Support Calamari's "extended prediction data" output
- Currently, the processor only supports a prediction using confidence voting of multiple models. While this is superior, it makes sense to support single model prediction, too.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ocrd_calamari-0.0.2.tar.gz
(4.0 kB
view details)
Built Distribution
File details
Details for the file ocrd_calamari-0.0.2.tar.gz
.
File metadata
- Download URL: ocrd_calamari-0.0.2.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.23.3 CPython/2.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 39e0f5b334a735fb8fa20e5490dcd07a96a620bc785c8e2b31f64a23fa13a6fe |
|
MD5 | 7a101d8f9626784f9e54af6dad37179d |
|
BLAKE2b-256 | 9dccde53bfd3c2b666cab5ef199c93902c85bb83ee03d923e9ef7abe87377857 |
File details
Details for the file ocrd_calamari-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: ocrd_calamari-0.0.2-py3-none-any.whl
- Upload date:
- Size: 5.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.23.3 CPython/2.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 454164c6b1c063b76c5189ae596115499bffd6e944c896dee3b03f08852f5680 |
|
MD5 | 24e8cab9e429576704a02890f6ebffb2 |
|
BLAKE2b-256 | 3953c05186a309284a22d4f1f0399a5fb241d7b11fb0e5b94c33fa8ae229a6fc |