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Image-formation-and-camera-calibration

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A comprehensive tutorial series on Image Formation and Camera Calibration in Python with example

파일 탐색기

최종 버전 다운로드 (.zip)

.gitignore
Part 1 - Image formation and camera extrinsics.ipynb
Part 2 - Camera Intrinsics and Image Formation.ipynb
Part 3 - Positive Definite Matrices and Ellipsoid.ipynb
Part 4 - Geometric Camera Calibration.ipynb
README.md
requirements.txt
utils.py

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/wingedrasengan927/Image-formation-and-camera-calibration

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd Image-formation-and-camera-calibration

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install -r requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// repository documentation

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A comprehensive tutorial series on Image Formation and Camera Calibration in Python with example
## Setting up
Assuming you've anaconda installed, create a virtual environment and install dependencies.

### Create Virtual Environment
```
conda create -n camera-calibration-python python=3.6 anaconda
conda activate camera-calibration-python
```
### Clone and Install dependencies
```
git clone https://github.com/wingedrasengan927/Image-formation-and-camera-calibration.git
cd Image-formation-and-camera-calibration
pip install -r requirements.txt
```
There are two main libraries we'll be using:
<br>[**pytransform3d**](https://github.com/rock-learning/pytransform3d): This library has great functions for visualizations and transformations in the 3D space.
<br>[**ipympl**](https://github.com/matplotlib/ipympl): It makes the matplotlib plot interactive allowing us to perform pan, zoom, and rotation in real time within the notebook which is really helpful when working with 3D plots.

**Note:** If you're using Jupyter Lab, please install the Jupyter Lab extension of ipympl from [here](https://github.com/matplotlib/ipympl)

ipympl can be accessed in the notebook by including the magic command `%matplotlib widget`

## Contents
[**Part 1: Image Formation and Pinhole Model of the Camera**](https://medium.com/p/53872ee4ee92)
<br>
Here we discuss pinhole model of the camera and image formation. We also give an overview of camera extrinsics, camera intrinsics, and camera calibration.
<br>
<br>
[**Part 2: Camera Extrinsics in Python**](https://medium.com/p/cfe80acab8dd)
<br>
Here we discuss camera extrinsic matrix in depth including change of basis and linear transformation in rotation and translation.
<br>
<br>
[**Part 3: Camera Intrinsics in Python**](https://medium.com/p/d79bf2478c12)
<br>
Here we discuss camera intrinsic matrix, and the projection transformation of the points from camera coordinate system to the image plane of the camera.
<br>
<br>
[**Part 4: Positive Definite Matrices and Ellipsoids**](https://medium.com/p/79c2a3b397fc)
<br>
Here we discuss the properties of positive definite matrices which we'll later use in camera calibration.
<br>
<br>
[**Part 5: Camera Calibration in Python**](https://medium.com/p/5147e945cdeb)
<br>
Here we discuss the different methods of camera calibration in python with examples.