Package Health Score

63 / 100

security
Security review needed
popularity
Limited
maintenance
Healthy
community
Sustainable

Popularity

Limited

GitHub Stars: 127
Forks: 11
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package jdeskew, we found that it has been starred 127 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Nov 13, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 1
Open PR: 0
Last Release: 14 days ago
Last Commit: 14 days ago

Further analysis of the maintenance status of jdeskew based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that jdeskew demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: Unspecified

Age: 3 years
Latest Release: 14 days ago
Dependencies: 2 Direct / 2 Total
Versions: 14
Maintainers: 1
Wheels: OS Independent

Readme

Document Image Skew Estimation

example workflow

Cover Image

Table of Contents

Document Image Skew Estimation

Table of contents generated with markdown-toc

Installation

pip

pip install jdeskew

How-to-use

using python

from jdeskew.estimator import get_angle
angle = get_angle(image)

from jdeskew.utility import rotate
output_image = rotate(image, angle)

Docker

https://hub.docker.com/r/phamquiluan/jdeskew/tags

# build 
DOCKER_BUILDKIT=1 docker build -t jdeskew .

# run
docker run -p 8000:80 jdeskew

# test
curl -v -F file=@sample.png localhost:8000/predict

using cog

https://github.com/replicate/cog

cog build --debug
cog predict -i input=@skew.png

# Output:
# Running prediction...
# {
#   "angle": -0.12520868113522532
# }

Download Paper

Link1: https://ieeexplore.ieee.org/document/9897910

Link2: https://www.researchgate.net/publication/364320913_ADAPTIVE_RADIAL_PROJECTION_ON_FOURIER_MAGNITUDE_SPECTRUM_FOR_DOCUMENT_IMAGE_SKEW_ESTIMATION

Performance Comparison on DISE 2021

CE: Correct Estimation rate

WE: Worst Error

	AED	TOP80	CE	WE
FredsDeskew	10.82	0.09	0.54	109
PypiDeskew	16.59	0.24	0.2	141
Koo, Hyung Il et al.	0.22	0.09	0.48	9.43
CMC-MSU	0.27	0.11	0.43	23.2
LRDE-EPITA-a	0.14	0.06	0.66	10.61

Our (1024)	0.11	0.07	0.67	1.13
Our (1500)	0.09	0.05	0.78	1.13
Our (2048)	0.08	0.04	0.84	1.13
Our (3072)	0.07	0.04	0.86	1.13
Our (4096)	0.08	0.04	0.83	1.18

DISE 2021 Dataset

This datasets are built upon three other datasets: DISEC 2013, RVL-CDIP, RDCL 2017. So I urge you to respect their LICENSE.

Dataset Name	URL
DISE 2021 (45 degree)	https://drive.google.com/file/d/1a-a6aOqdsghjeHGLnCLsDs7NoJIus-Pw/view?usp=sharing
DISE 2021 (15 degree)	https://drive.google.com/file/d/1BLiuu-j28dbuPFi4n3C0KuV6vXGmB0qS/view?usp=sharing

Can also download from Zenodo: https://zenodo.org/records/12570649

Reproducibility and Evaluation Code

Check the reproduce.ipynb file

Citation

L. Pham, H. Hoang, X.T. Mai, T. A. Tran, "Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation", ICIP, 2022.

@inproceedings{pham2021dise,
  title={Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation},
  author={Luan Pham, Hao Hoang, Toan Mai, and Tuan Anh Tran},
  booktitle={2022 29th International Conference on Image Processing (ICIP)},
  year={2022},
  organization={IEEE}
}

Star History

jdeskew dependencies

numpy opencv-python-headless

FAQs

What is jdeskew?

Document Image Skew Estimation using Adaptive Radial Projection. Visit Snyk Advisor to see a full health score report for jdeskew, including popularity, security, maintenance & community analysis.

Is jdeskew popular?

The python package jdeskew receives a total of 790 weekly downloads. As such, jdeskew popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is jdeskew well maintained?

We found that jdeskew demonstrated a healthy version release cadence and project activity. It has a community of 3 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is jdeskew safe to use?

While scanning the latest version of jdeskew, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 26 November-2024, at 11:30 (UTC).

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