OpenCV Python Tutorial Read Discuss Courses Practice Video Improve Article Improve Save Article Save Like Article Like OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human. When it is integrated with various libraries, such as Numpy which is a highly optimized library for numerical operations, then the number of weapons increases in your Arsenal i.e whatever operations one can do in Numpy can be combined with OpenCV. This OpenCV tutorial will help you learn the Image-processing from Basics to Advance, like operations on Images, Videos using a huge set of Opencv-programs and projects. Table Of Content: Getting Started Working with Images Getting Started Image Processing Feature Detection and Description Drawing Functions Working with Videos Getting Started Video Processing Applications and Projects Recent Articles on OpenCV !! Getting Started OpenCV – Overview Introduction to OpenCV Install OpenCV for Python on Windows Install OpenCV for Python on Linux Set up Opencv with anaconda environment Working with Images Getting Started Reading an image in OpenCV using Python Display an image in OpenCV using Python Writing an image in OpenCV using Python OpenCV | Saving an Image Color Spaces Arithmetic operations on Images Bitwise Operations on Binary Images Image Processing Image Resizing Eroding an Image Blurring an Image Create Border around Images Grayscaling of Images Scaling, Rotating, Shifting and Edge Detection Erosion and Dilation of images Analyze an image using Histogram Histograms Equalization Simple Thresholding Adaptive Thresholding Otsu Thresholding Segmentation using Thresholding Convert an image from one color space to another Filter Color with OpenCV Denoising of colored images Visualizing image in different color spaces Find Co-ordinates of Contours Bilateral Filtering Image Inpainting using OpenCV Intensity Transformation Operations on Images Image Registration Background subtraction Background Subtraction in an Image using Concept of Running Average Foreground Extraction in an Image using Grabcut Algorithm Morphological Operations in Image Processing (Opening) Morphological Operations in Image Processing (Closing) Morphological Operations in Image Processing (Gradient) Image segmentation using Morphological operations Image Translation Image Pyramid Feature Detection and Description Line detection using Houghline method Circle Detection Detect corner of an image Corner Detection with Shi-Tomasi method Corner detection with Harris Corner Detection Find Circles and Ellipses in an Image Document field detection Smile detection Drawing Functions Draw a line Draw arrow segment Draw an ellipse Draw a circle Draw a rectangle Draw a text string Find and Draw Contours Draw a triangle with centroid Working with Videos Getting Started Play a video using OpenCV Video Processing Create video using multiple images Extract images from video Applications and Projects Extract frames using OpenCV Displaying the coordinates of the points clicked on the image using Python-OpenCV White and black dot detection OpenCV BGR color palette with trackbars Draw rectangular shape and extract objects Invisible Cloak using OpenCV Unsupervised Face Clustering Pipeline Saving Operated Video from a webcam Face Detection using Python and OpenCV with webcam Opening multiple color windows Play a video in reverse mode Template matching using OpenCV in Python Cartooning an Image using OpenCV – Python Vehicle detection in a Video frame using Python – OpenCV Count number of Faces using Python – OpenCV Live Webcam Drawing using OpenCV Detect and Recognize Car License Plate from a video in real time Last Updated : 13 Mar, 2023 Like Article Save Article Please Login to comment...
