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所在平台: Udemy |
课程主页: https://www.udemy.com/course/computer-visionlearn-opencv-mediapipe-with-5-projects/
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课程名称：计算机视觉：使用OpenCV和Mediapipe学习并完成5个项目！！ 课程概述： 计算机视觉是一项前沿技术，提供了多种可能性。OpenCV-Python 是一个很好的工具，用于快速原型开发计算机视觉问题。计算机视觉通过模仿人脑识别视觉信息的能力来工作，利用模式识别算法对大量视觉数据进行训练，计算机随后处理输入图像，为图像中的对象加上标签，并发现这些对象中的模式。本课程旨在帮助个人学习OpenCV和Mediapipe库的基础知识。此外，所有概念均通过项目展示，非常适合初学者。OpenCV提供了一套实时优化的计算机视觉库、工具及硬件，而MediaPipe则为实时和流媒体提供跨平台的可定制机器学习解决方案。Streamlit是一个用Python语言编写的开源应用框架，帮助我们快速创建数据科学和机器学习的Web应用。 课程要求： - 具备互联网连接的系统 - 学习的兴趣 - 敬业与热情 - 基本的Python知识 适合人群： - 热爱人工智能和机器学习的Python开发者 - 希望开发创新项目的学生和专业人士 学习内容包括： - Numpy - 图像几何变换 - 形态学变换 - OpenCV中的事件 - 实时素描项目 - 图像恢复 - 脸部和眼睛检测 - 脸部识别与比较 - 面具检测 - 脸部网格手部追踪 - 身体姿态检测 - 整体检测 - 3D对象检测 - 自拍分割 - Streamlit基础知识 - 使用Streamlit的实时视频流 本课程是开启计算机视觉探索之旅的理想选择！
Computer Vision is a cutting edge technological advancement which offers a sense of varied possibilities. OpenCV-Python is a great tool for fast prototyping of computer vision problems. Computer vision works by trying to mimic the human brain's capability of recognising visual information. It uses pattern recognition algorithms to train machines on a large amount of visual data. The machine/ computer then processes input images, labels the objects on these images, and finds patterns in those objects.This course is primarily designed to help individuals learn basics of OpenCV , mediapipe library. Furthermore , all the concepts has been showcased with projects. It is the ideal course for you to begin your adventure.OpenCV provides a real-time optimized Computer Vision library, tools, and hardware.MediaPipe offers cross-platform, customizable ML solutions for live and streaming media.Streamlit is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time.RequirementsSystem with Internet ConnectionInterest to LearnDedication , Eargerness What you'll learn ?Numpy Geometric Transformation of ImageMorphological TransformationEvents in OpenCVLive Sketch ProjectRestoration of ImagesFace & Eye DetectionFace Recognition Face ComparisonFace Mask DetectionFace Mesh Hand TrackingBody Pose DetectionHolistic Detection3-D Object DetectionSelfie SegmentationStreamLit BasicsLive Video Feed Using StreamLitAre there any course requirements or prerequistics?Basic Knowledge of PythonWho this course for ?Python Developers passionate about AI & MLStudents & Professionals who wants to develop innovative projects
