NDHU_Advanced_Computer_Vision_Spring project belongs to the Advanced Computer Vision at National Dong Hwa University. The purpose of this project is to know about Computer Vision Algorithms and Applications in CS, including famous algorithms for images processing, deeper learning, tracking people in video, OCR and etc.
- Python 3.9
- Ubuntu 24.04
- Upgrade package
sudo apt-get update- Install Conda
chmod 777 Install_miniconda.sh
./Install_miniconda.shfiletree
├── env.yml
├── Final
│ └── Final.ipynb
├── HW
│ ├── HW1
│ │ └── HW1.ipynb
│ ├── HW2
│ │ └── HW2.ipynb
│ ├── HW3
│ │ └── HW3.ipynb
│ └── HW4
│ └── HW4.ipynb
├── Install_miniconda.sh
├── LICENSE
├── Midterm
│ └── Midtern.ipynb
├── Practice
│ ├── 0229
│ │ └── main.ipynb
│ ├── 0307
│ │ └── main.ipynb
│ ├── 0314
│ │ └── main.ipynb
│ ├── 0321
│ │ └── main.ipynb
│ ├── 0328
│ │ └── main.ipynb
│ ├── 0411
│ │ └── main.ipynb
│ ├── 0425
│ │ └── main.ipynb
│ ├── 0502
│ │ └── main.ipynb
│ ├── 0509
│ │ └── main.ipynb
│ ├── 0523
│ │ └── main.ipynb
│ ├── 0530
│ │ └── main.ipynb
│ └── 0606
│ └── main.ipynb
└── README.md
Download the some .jpg, .mp4 .pk file then execute the code in vscode or jupyter notebook, It is recommended to install Conda to establish an experimental environment
conda env create -f env.yml- Computer Vision: Algorithms and Applications, 2nd ed
- OpenCV
- Matplotlib
- Numpy
- MediaPipe
- Ultralytics
- Pytesseract
- Datasets material
Egor Lee