The official tutorial of OpenCV Chinese version is here.
OpenCV is a classic dedicated library in computer vision, but its Chinese version of the official tutorial has not come for a long time. Recently, a complete Chinese version of the official tutorial of the latest OpenCV4.1 version has been released. Readers and friends can better learn about the details of OpenCV. Tutorial from objectdetection.cn.
The latest official documentation of Opencv-Python Chinese version:
http://woshicver.com
Scan the QR code below and follow the [Deep Learning and Computer Vision] official account :
You can get it by replying to the keyword open cvpdf in the background of the [Deep Learning and Computer Vision] official account .
what's in the tutorial
The tutorial has been restored as completely as possible according to the official documentation. Includes a simple OpenCV-Python installation, how to display and save images and videos, basic manipulation of images, different image processing functions inside OpenCV, information about feature detection and descriptors. As well as machine learning and object detection parts and so on.
Part of the content is as follows, the smallest closed circle:
Multi-object template matching
Handwritten numbers:
Cascade classifier visualization:
Tutorial Directory
Swipe up and down to see the full catalog
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Introduction to OpenCV
0_OpenCV-Python Tutorials
OpenCV installation
1_1_OpenCV-Python tutorial introduction
1_2_ Install OpenCV-Python in Windows
1_3_ Install OpenCV-Python in Fedora
1_4_Install OpenCV-Python in Ubuntu
GUI features in OpenCV
2_1_ Getting started with images
2_2_ Video Getting Started
2_3_Drawing function in OpenCV
2_4_Mouse as brush
2_5_ Trackbar as a palette
core operation
3_1_Basic operation of images
3_2_ Algorithmic operations on images
3_3_Performance measurement and improvement techniques
Image Processing in OpenCV
4_1_Change the color space
4_2_Image geometric transformation
4_3_Image threshold
4_4_Image smoothing
4_5_morphological transformation
4_6_image gradient
4_7_Canny edge detection
4_8_ Image Pyramid
4_9_1_Contours in OpenCV
4_9_2_Contour feature
4_9_3_Contour properties
4_9_4_profile: more properties
4_9_5_Contour layering
4_10_1_Histogram-1: Find, Plot, Analyze
4_10_2_Histogram-2: Histogram equalization
4_10_3_Histogram 3: 2D histogram
4_10_4_Histogram-4: Histogram backprojection
4_11_Fourier Transform
4_12_Template matching
4_13_ Hough Line Transform
4_14_ Hough circle transform
4_15_Image segmentation and watershed algorithm
4_16_Interactive foreground extraction using GrabCut algorithm
Feature Detection and Description
5_1_Understanding features
5_2_Harris angle detection
5_3_Shi-Tomasi corner detector and good tracking
5_4_SIFT (Scale Invariant Feature Transform) Introduction
5_5_SURF Introduction (The Power of Acceleration)
5_6_FAST algorithm for corner detection
5_7_BRIEF (Binary Robust Independent Basic Features)
5_8_ORB (Orientation Fast and Rotation Brief)
5_9_Feature matching
5_10_Feature matching + homography to find objects
video analysis
6_1_How to use the background separation method
6_2_Meanshift and Camshift
6_3_Optical flow
Camera calibration and 3D reconstruction
7_1_Camera Calibration
7_2_Pose Estimation
7_3_ Epipolar geometry
7_4_Depth map of stereo image
machine learning
8_1_Understanding KNN
8_2_Run KNN with OCR handwritten dataset
8_3_Understanding SVM
8_4_Running SVM with OCR handwritten dataset
8_5_Understanding K-Means Clustering
8_6_K-means in OpenCV
computational photography
9_1_Image denoising
9_2_Image inpainting
9_3_High Dynamic Range
Target Detection
10_1_Cascade classifier
10_2_Cascade classifier training
OpenCV-Python Binding
11_1_OpenCV-Python Bindings
The latest official documentation of Opencv-Python Chinese version:
http://woshicver.com
In order to facilitate readers and friends to view locally, we have packaged a PDF version of the official tutorial of Opencv-Python Chinese version .
Scan the QR code below and follow the [Deep Learning and Computer Vision] official account :
You can get it by replying to the keyword openc vpdf in the background of the [Deep Learning and Computer Vision] official account .