diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..485dee6 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +.idea diff --git a/_posts/2023-09-28-template.md b/_posts/2023-09-28-template.md deleted file mode 100644 index a53e449..0000000 --- a/_posts/2023-09-28-template.md +++ /dev/null @@ -1,44 +0,0 @@ ---- -layout: post -title: "Title" -date: 2023-09-25 10:00:00 +0000 -categories: Category1 Category2 ---- - -You can add a link as follows: [Joel Mwaka](https://github.com/joelmwaka) - -Adding image: - -
- -
- -List: - - 1. Point 1. - 2. Point 2. - 3. Point 3. - -**Subtitle** - -Add python code: - -```python -import cv2 as cv -import glob -import numpy as np - -images_folder = 'D2/*' -images_names = sorted(glob.glob(images_folder)) -images = [] -for imname in images_names: - im = cv.imread(imname, 1) - images.append(im) - -``` - -**References** - -1. Ref 1. -2. Ref 2. -3. Ref 3. diff --git a/repository.md b/repository.md index 37c2658..323ae6e 100644 --- a/repository.md +++ b/repository.md @@ -6,14 +6,18 @@ layout: page Below are links to my project repositories. -**Project Title** +**Intrinsic Camera Calibration** -Project description. -[https://github.com/joelmwaka](https://github.com/joelmwaka) +Camera calibration tool using OpenCV is a Python project designed to facilitate the calibration of cameras for computer +vision applications. This tool leverages the OpenCV library to accurately determine intrinsic parameters such as focal +length, principal point, and lens distortion. + +[CameraCalibration](https://github.com/joelmwaka/CameraCalibration) +**Automated Dataset Generation** -**Project Title** - -Project description. -[https://github.com/joelmwaka](https://github.com/joelmwaka) +Generate a dataset to train computer vision neural networks like YOLO, FasterRCNN, etc. This tool works only for planar +objects like playing cards, road signs, etc. A demonstration of this tool is shown in the repository using road german +"right-of-path" road signs. +[AutoDataSetGeneration](https://github.com/joelmwaka/AutoDataSetGeneration)