Computer vision enthusiast welcomes you here! 😎 I constantly try to improve my skills in fields eg. image and signal processing, deep learning, image registration and camera model. Moreover, I also derive great satisfaction from sharing my knowledge and learning with Feynman technique, that is why you can find here some tutorials with theory explanation, as well as practical tasks.
- TUTORIALS
| Title | Description | Technologies |
|---|---|---|
| Image-Processing | Explanation of some image processing techniques, from scratch. It covers topics related to eg. filtering, morphological operations, transformations, and feature extractions. |
|
| Camera-Calibration-Position-Estimation | Explanation of camera geometry and calibration procedure, as well ass the common techniques for estimantion position in 3D (stereovision: 2x RGB, RGB + depth camera). |
|
- ARTICLES
| Title | Type | Year | Code |
|---|---|---|---|
| Metrological Analysis of HoloLens 2 for Visual Marker-Based Surgical Navigation | Conference | 2023 | Code |
- PROJECTS TO WHICH I HAVE ALSO CONTRIBUTED
| Title | Description | Technologies |
|---|---|---|
| Histopathology Augmentation Research |
Library for working with histopathological whole-slide images that covers tasks like: data augmentation, classification, and segmentation. I contributed by adding a script that allows generating masks saved as PYRAMIDAL TIFFs based on XML annotation files. You can find it here. |
|
| ECG-Analyzer | Desktop application that allows analyzing ECG signals. I contributed by implementing filtering algorithms. |
|
| Title | Description |
|---|---|
| pytorch-deep-learning | If you are a beginner and want to learn PyTorch from scratch. This repo contains not only theory explanation but also many practical tasks. |