Layout Parser is a deep learning assisted tool for Document Image Layout Analysis.
Project description
Layout Parser is deep learning based tool for document image layout analysis tasks.
Quick Start
- Install the package
pip install layoutparser # Install Detectron2 for using DL Layout Detection Model pip install 'git+https://github.com/facebookresearch/detectron2.git@v0.1.3#egg=detectron2' # Install the ocr components when necessary pip install layoutparser[ocr]
Document Image Layout Analysis is a challenging problem. This tool provides handy functionality for
- Document Layout Prediction based on Deep Learning Models.
- Handy layout processing
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
layoutparser-0.1.0.tar.gz
(19.1 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file layoutparser-0.1.0.tar.gz.
File metadata
- Download URL: layoutparser-0.1.0.tar.gz
- Upload date:
- Size: 19.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f3b461e7c5d7743c8d326664ecec1c85bd0c9973e80d54bc58928b453567f25c
|
|
| MD5 |
a7d32849b18e2bd753ed7dec622aa705
|
|
| BLAKE2b-256 |
ecc9cd2cbd78bc08ef7cb8643e22cc972d291a3820ea948a20991f6d3f736174
|
File details
Details for the file layoutparser-0.1.0-py3-none-any.whl.
File metadata
- Download URL: layoutparser-0.1.0-py3-none-any.whl
- Upload date:
- Size: 19.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7059db6a772182e7ec77412d43d46da9aa1d226c463728eb72484047f78e8184
|
|
| MD5 |
412fc4dce3ef6c791f5634037d0de91d
|
|
| BLAKE2b-256 |
674efbe38c5b6b8a4faec18c2b83257cbff5627495da1507857ed341606ca0ef
|