OpenCV (Open Source Computer Vision Library) 是一个开源的计算机视觉和机器学习软件库。它提供了许多常用的图像处理和计算机视觉算法，可以用于各种应用，如图像识别、物体检测、人脸识别等。

Getting Started

Before diving into the tutorials, make sure you have OpenCV installed. You can download it from the official website: OpenCV Download.

Installation Guide

Tutorials

Basic Image Processing

  1. Reading and Displaying Images Learn how to read, display, and save images using OpenCV.

    Reading and Displaying Images
    - [Tutorial](/en/tutorials/basic_image_processing/read_display_images)

  2. Image Transformations Explore different image transformations such as rotation, scaling, and translation.

    Image Transformations
    - [Tutorial](/en/tutorials/basic_image_processing/image_transformations)

Advanced Image Processing

  1. Edge Detection Learn how to detect edges in an image using various edge detection algorithms.

    Edge Detection
    - [Tutorial](/en/tutorials/advanced_image_processing/edge_detection)

  2. Object Detection Get started with object detection using popular algorithms like Haar cascades and SSD.

    Object Detection
    - [Tutorial](/en/tutorials/advanced_image_processing/object_detection)

Machine Learning with OpenCV

  1. K-Nearest Neighbors (KNN) Learn how to implement KNN for classification tasks.

    K-Nearest Neighbors
    - [Tutorial](/en/tutorials/machine_learning/knn_classification)

  2. Support Vector Machine (SVM) Understand and implement SVM for classification and regression tasks.

    Support Vector Machine
    - [Tutorial](/en/tutorials/machine_learning/svm_classification)

Conclusion

OpenCV is a powerful tool for computer vision and image processing tasks. By following these tutorials, you'll gain a solid understanding of its capabilities and be well on your way to creating amazing applications.

For more tutorials and resources, visit our OpenCV Documentation.