https://github.com/a1rb4ck/camera-fusion

Multiple cameras calibration and fusion with OpenCV Python.
https://github.com/a1rb4ck/camera-fusion

camera-calibration camera-control image-fusion image-manipulation image-processing opencv-python opencv3-python photometry polarimetry webcam-capture

Last synced: 17 days ago
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Multiple cameras calibration and fusion with OpenCV Python.

• Host: GitHub
• URL: https://github.com/a1rb4ck/camera-fusion
• Owner: a1rb4Ck
• License: mit
• Created: 2018-09-20T17:05:42.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-25T17:57:27.000Z (almost 6 years ago)
• Last Synced: 2024-10-09T14:29:25.244Z (28 days ago)
• Topics: camera-calibration, camera-control, image-fusion, image-manipulation, image-processing, opencv-python, opencv3-python, photometry, polarimetry, webcam-capture
• Language: Python
• Homepage: https://pypi.org/project/camera-fusion/
• Size: 4.18 MB
• Stars: 35
• Watchers: 2
• Forks: 8
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
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camera-fusion

==========

Multiple cameras correction calibration and fusion with OpenCV Python.

This package use ChAruco board to achieve accurate multi-cameras fusion.

Installation

----------

```bash

pip install camera-fusion

```

Depending of your environment, you could have to compile OpenCV from source with Python bindings.

Quickstart

----------

### Calibration

Print a [ChAruco board](https://www.uco.es/investiga/grupos/ava/node/26), for example the one in the *./resources* folder.

Measure the length of the Aruco marker and the length of the black chess square. Then start the calibration scripts.

### Usage examples

Generate the lens correction calibration file for a specific camera.

```bash

python3 ./bin/camera_calibration

```

Generate homographies between multiple cameras to fuse/blend on a specific plane. If no lens correction calibration exist for the cameras, they will be generate.

```bash

python3 ./bin/camera_fusion

```

Simple blending methods are implemented:

- Blue channel to RGB blending

- Gray scale to RGB blending

- Weighted blending

- Difference

Use cases

----------

This project was made to create a super low-cost degree of linear polarization imager. With three cheap repurposed webcams, we achieve decent results and frame-rate.

Development

----------

Test:

```bash

tox

```

Build:

```bash

make all

```