Skip to main content

PyVPD: Vanishing Point Detector

This is a Python + Scikit-Image implementation of the Vanishing point detection in images

Installation

pip install pyvpd

Usage

import cv2
from pyvpd import VPDetector

image = cv2.imread("io/input/1.jpg")
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

vp_detector = VPDetector()
vps_3d, vps_2d = vp_detector.detect(image)
print("vps_3d:", vps_3d)
print("vps_2d:", vps_2d)

Results

Input image:

Input image

First vanishing point:

First vanishing point

Second vanishing point:

Second vanishing point

Acknowledgments

We made necessary changes on top of Automated Rectification of Image to fit our design. Many thanks to Sasank Chilamkurthy for releasing the code.

Implements the modified version of the following paper:

Chaudhury, Krishnendu, Stephen DiVerdi, and Sergey Ioffe. "Auto-rectification of user photos." 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014.

Release files for pyvpd 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyvpd 0.1.2
File Size Uploaded
pyvpd-0.1.2.tar.gz 8.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyvpd 0.1.2
File Interpreter ABI Platform
pyvpd-0.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 17.3 kB

Release files / pyvpd-0.1.2.tar.gz

Download URL pyvpd-0.1.2.tar.gz
Size 8.7 kB
Tags Source
SHA-256 checksum
How to use checksums
15129959e6de168fd67dd02a6290cfe54689b9aed0adbb27ae57f1205d21f96f
BLAKE2b-256 checksum
How to use checksums
8e5e80e300f8055f4534bd0f710e0eed2a1732cfbc106a93271c56732f04d52b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.2

Release files / pyvpd-0.1.2-py3-none-any.whl

Download URL pyvpd-0.1.2-py3-none-any.whl
Size 8.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
42cbf1cf19a4171c1648cdc9acedfd2b1810230f4a5856e6c509122eddd27f7d
BLAKE2b-256 checksum
How to use checksums
2d38c2e825989752b66c242b36eb207fa61631c340af38ac1b284c98d1e33441
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.2

Release history Release notifications | RSS feed

This release

0.1.2 This release

2 release files

0.1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page