/opencv_tutorials

Opencv4.0 with python (English&中文), and will keep the update ! 👊

Primary LanguagePython

OpenCV 4.0 Tutorial

✒️ 中文版本

Introduction

This repository contains source code of OpenCV Tutorial application, the environment is python3.0 and opencv4.0.

Sample

  • Image load
import cv2

src = cv2.imread("test.png")
cv2.namedWindow("input", cv2.WINDOW_AUTOSIZE)
cv2.imshow("input", src)
cv2.waitKey(0)
cv2.destroyAllWindows()
  • Gray Image
gray = cv2.cvtColor(src, cv.COLOR_BGR2GRAY)

More opencv4.0 tutorials plese follow the learning road as below 👇👇👇

Learning Road ⛳️

Annotation:

  • ✔️ : Basic
  • ✏️ : Attention
  • ❣️ : Important
No Description Annotation
code_001 Load Image ✔️
code_002 Gray Image ✔️
code_003 Image Create ✔️
code_004 Pixel Read and Write ✔️
code_005 Image Pixel Arithmetic Operations ✔️
code_006 Image Pseudo-Color Enhancement ✔️
code_007 Image Pixel Operation (Logical Operation) ✔️
code_008 Image Channel Separation and Merging ✔️
code_009 Color Space Conversion ✏️
code_010 Image Pixel Value Statistics ✔️
code_011 Image Pixel Normalization ✔️
code_012 Video Read and Write ✔️
code_013 Image Flip ✔️
code_014 Image Interpolation ✔️
code_015 Draw Geometry ✔️
code_016 ROI of Image ✔️
code_017 Image Histogram ✔️
code_018 Histogram Dqualization ✏️
code_019 Histogram Comparison ✔️
code_020 Histogram Backprojection ✔️
code_021 Image Convolution ✔️
code_022 Averaging and Gaussian Blur ❣️
code_023 Median Blur ✔️
code_024 Image Noise ✔️
code_025 Smoothing Images ✔️
code_026 Gaussian Bilateral Blur ✔️
code_027 Mean-shift Blur) ✔️
code_028 Image Integral Algorithm ✔️
code_029 Fast Image Edge Filtering Algorithm ✔️
code_030 Custom Filter ✔️
code_031 Sobel Operator ✔️
code_032 More Gradient Operators ✔️
code_033 Laplace Operator ✔️
code_034 Image Sharpening ✔️
code_035 USM Sharpen Algorithm ✔️
code_036 Canny Edge Detection ❣️
code_037 Image Pyramid ✔️
code_038 Laplace Pyramid ✔️
code_039 Image Template Matching ✔️
code_040 Binary introduction ✔️
code_041 Basic Thresholding ✔️
code_042 OTSU Thresholding ✏️
code_043 TRIANGLE Thresholding ✔️
code_044 Adaptive Thresholding ✏️
code_045 Binary and Smoothing ✏️
code_046 Image Connectivity component ✔️
code_047 Image Connected component state statistics ✔️
code_048 Image Contours ❣️
code_049 Bounding Rectangle ❣️
code_050 Contour Area and Perimeter ✏️
code_051 Contour Approximation ✔️
code_052 Contour Centroid Calculate ✔️
code_053 HuMoment for Contour Matching ✔️
code_054 Contour Cricle and Ellipse fitting ✔️
code_055 Convex Hull ✏️
code_056 Fitting a Line ✔️
code_057 Point Polygon Test ✔️
code_058 The Largest Inner Circle ✔️
code_059 Hoffman Line Detection ✔️
code_060 Probability Hoffman Line Detection ❣️
code_061 Hoffman Cricle Detection ❣️
code_062 Dilation and Erosion ❣️
code_063 Structuring Element ✔️
code_064 Opening Transformation ✏️
code_065 Closing Transformation ✏️
code_066 Application of Opening and Closing Operations ✏️
code_067 Top Hat ✔️
code_068 Black Hat ✔️
code_069 Morph Gradient ✔️
code_070 Contour based on Morph Gradient ✏️
code_071 Hit and Miss ✔️
code_072 Defect Detecting-1 ✔️
code_073 Defect Detecting-2 ✔️
code_074 Extract the Maximum Contour and Coding Key Points ✔️
code_075 Image Inpainting ✔️
code_076 Perspective Transformation ✏️
code_077 Video Read, Write and Process ✏️
code_078 Identify and Track Specific Color Objects in Video ✔️
code_079 Video Analysis-Background/Foreground Extraction ✔️
code_080 Video Analysis–Background Subtraction and ROI Extraction of the Foreground ✔️
code_081 Corner Detection-Harris ✔️
code_082 Corner Detection-Shi-Tomas ✏️
code_083 Corner Detection-Sub-Pixel ✔️
code_084 Video Analysis-KLT Optical Flow-1 ✏️
code_085 Video Analysis-KLT Optical Flow-2 ✏️
code_086 Video Analysis-Dense Optical Flow ✏️
code_087 Video Analysis-Frame Difference Moving Object Analysis ✔️
code_088 Video Analysis-Meanshift ✏️
code_089 Video Analysis-CamShift ✏️
code_090 Video Analysis-Object Movement Trajectory Drawing ✔️
code_091 Object Detection-HAAR Cascade Classification ✔️
code_092 Object Detection-HAAR Feature Analysis ✔️
code_093 Object Detection-LBP Feature Analysis ✔️
code_094 ORB Feature Critical Point Detection ✏️
code_095 ORB Feature Descriptor Matching ✔️
code_096 Multiple Descriptor Matching Methods ✏️
code_097 Location of Known Objects Based on Descriptor Matches ✏️
code_098 SIFT Feature Critical Point Detection ✔️
code_099 SIFT Feature Descriptor Matching ✔️
code_100 HOG Pedestrian Detection ✔️
code_101 HOG Multiscale Detection ✏️
code_102 HOG Extract Descriptor ✔️
code_103 HOG Use Descriptors to Generate Sample Data ✔️
code_104 (Detection Case)-HOG+SVM Train ✔️
code_105 (Detection Case)-HOG+SVM Predict ✔️
code_106 AKAZE Features and Descriptors ✔️
code_107 Brisk Features and Descriptors ✔️
code_108 GFTT Detector ✔️
code_109 BLOB Feature Analysis ✔️
code_110 KMeans Data Classification ✔️
code_111 KMeans Image Segmentation ✔️
code_112 KMeans Background Change ✔️
code_113 KMeans Extract Image Color Card ✔️
code_114 KNN Classification ✔️
code_115 KNN-Train Data Save and Load ✔️
code_116 Decision Tree Algorithm ✔️
code_117 Image Mean-shift Segmentation ✔️
code_118 Grabcut-Image Segmentation ✔️
code_119 Grabcut-Background Change ✏️