这是一门由 Prashant S Jadhav 于 2026 年 6 月发布的 OpenCV 与计算机视觉零基础入门视频课程。课程核心卖点是通过“短视频”形式，带你快速掌握图像处理与现代主流的 AI 目标检测技术。
课程核心信息
- 核心工具：OpenCV、NumPy、Matplotlib、PyTorch、YOLO。
- 课程结构：包含 86 节微课，总时长 2 小时 8 分钟。
- 文件大小：1.2 GB（1080P 高清视频，双声道音频）。
- 适合人群：具备基础 Python 知识的初学者或 AI 爱好者。
Published 6/2026
Created by Prashant S Jadhav
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 86 Lectures ( 2h 8m ) | Size: 1.2 GB
Learn Numpy, MatPlot, YOLO, PyTorch With Short Videos
What you’ll learn
⚡ Understand what is OpenCV and How useful it is
⚡ How to draw shapes and animate them
⚡ How to do various operations on any image with image manipulation and image processing
⚡ How to do color, face and object detections
⚡ How to create your own project
⚡ Read and process images confidently
⚡ Apply filters and transformations
⚡ Work with real-time video streams
⚡ Build basic object detection systems using YOLO
Requirements
❗ Only basic knowledge of Python is required
Description
Are you ready to step into the world of Computer Vision and build powerful image and video applications?
This course is designed to take you from beginner to confident developer using OpenCV, along with essential tools like NumPy, Matplotlib, PyTorch, and modern object detection using YOLO. Whether you are a student, beginner programmer, or someone curious about AI and vision systems, this course will give you strong practical skills.
What you’ll learn
✨ Understand the fundamentals of Computer Vision
✨ Learn how to work with images and videos using OpenCV
✨ Master NumPy for fast and efficient array operations
✨ Visualize data and results using Matplotlib
✨ Get an introduction to PyTorch for deep learning basics
✨ Understand and implement YOLO for real-time object detection
✨ Create simple and practical animations using OpenCV
✨ Build small real-world projects in the shortest and simplest way
Why this course is different
✨ Simple explanations in easy English
✨ Step-by-step teaching approach suitable for beginners
✨ Practical examples instead of only theory
✨ Focus on building real, usable skills
✨ Includes animations and object detection examples to make learning engaging
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