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Readme.md

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 # Python OpenCV Lab
 
 ## Description
-This Python Opencv Lab is split into two parts for morning and afternoon.
-1. [Lab_1/](./Lab_1) : Image Operation, Image Smoothing, Image Denoising, Image PCA & Classification
-2. [Lab_2/](./Lab_2) : Color and Texture Segmentation (Clustering) , Recognition with Bag of Visual Words
+This Python Opencv Lab is split into two parts.
+1. [Lab_1/](./Lab_1) : Image Operation, Image Filtering, Image PCA & Classification
+2. [Lab_2/](./Lab_2) : Homography
 
 ### Briefly Introduction
 
-[python_opencv_lab.pdf](./python_opencv_lab.pdf)
+[python_opencv_lab_2020.pdf](./python_opencv_lab_2020.pdf)
 
 ### Reference
-The lab practice referred to [OpenCVtutorial](http://opencv-python-tutroals.readthedocs.io/en/latest/index.html) and NTU Deep Learning for Computer Vision (DLCV) course [website](http://vllab.ee.ntu.edu.tw/dlcv.html).
+The lab practice referred to [OpenCVtutorial](http://opencv-python-tutroals.readthedocs.io/en/latest/index.html), NTU Computer Vision: from Recognition to Geometry (CV) course [website](http://media.ee.ntu.edu.tw/courses/cv/19F/) and NTU Deep Learning for Computer Vision (DLCV) course [website](http://vllab.ee.ntu.edu.tw/dlcv.html).
 
 ### Prerequisites
 - python3.5+