Opencv and Computer Vision Master Class

Learning about so many library for Computer Vision.

• Face Detection, Face Recognition,
• Object Detection, Object Tracking,
• Image Classification with ANN, CNN
• Emotion Classification with ANN
• Image Segmentation
• Transfer Learning and Fine Tuning
• Auto Encoder
• Gesture Detection
• Deep Dream
• Style Trnasfer
• GAN

Installation

conda create -n computer-vision-master-class python=3.8
conda activate computer-vision-master-class
conda install -c conda-forge opencv                     # https://anaconda.org/conda-forge/opencv
conda install -c conda-forge dlib                       # https://anaconda.org/conda-forge/dlib

conda install -c anaconda scikit-learn                  # https://anaconda.org/anaconda/scikit-learn
conda install -c anaconda seaborn                       # https://anaconda.org/anaconda/seaborn

Chapters

We talked about Image & Video Processing with Deep Laerning.
If you want to know detailed chaptered, please check this

0. thoery
1. face detection
2. face recognition
3. object tracking

Detailed Chapter

0. thoery
   1. 이미지와 픽셀.md
   2. Face Detection Haaracascade Classifier.md
   3. Face Detection HOG Classifier.md
   4. Face Recognition LBPH Algorithm.md
   5. Object Tracking.md
   6. Object Tracking KCF.md
   7. Object Tracking CSRT.md
1. face detection
   1. Face Detection with Haarcascade and OpenCV.ipynb
   2. Eye Detection with Haarcascade and OpenCV.ipynb
   3. Car Detection with Haarcascade and OpenCV.ipynb.ipynb
   4. Clock Detection with Haarcascade and OpenCV.ipynb.ipynb.ipynb
   5. Face Detection with Histograms of Orientied Gradients.ipynb
   6. Face Detection with CNN.ipynb
   7. Face Detection Practice.ipynb
   8. Face Detection Webcam.py
2. face recognition
   1. Face Recognition with LBPH and OpenCV.ipynb
   2. Face Recognition with LBPH and OpenCV Advanced.ipynb
   3. Face Recognition with Dlib, CNN and distance calculation.ipynb
   4. Face Recognition Practice.ipynb
   5. Face Recognition Webcam.py
3. object tracking
   1. Object Tracking with KCF.ipynb
   2. Object Tracking with CSRT.ipynb
   3. Object Tracking Practice.py