OpenCV Python with Classical Computer Vision Theory

Currently Playing: OpenCV Python Depth Map Stereo Vision for Depth Estimation (Algorithm and Code)

🎁 Get FREE Robotics & AI Resources (Guide, Textbooks, Courses, Resume Template, Code & Discounts) – Sign up via the pop-up at https://kevinwoodrobotics.com/ 📝 Real-World Robotics Project Course Overview and Waitlist: https://forms.gle/xu4rfk7GWHCaZGBEA 🦾 Learn Robotics and AI: https://kevinwoodrobotics.com/product/all-courses-bundle-deal/ 🤝 Consulting and Mentorship: https://kevinwoodrobotics.com/product-category/consulting/ 👁️ Learn OpenCV: https://kevinwoodrobotics.com/product/opencv-python-tutorials-full-playlist/ 🤖 Learn ROS: https://kevinwoodrobotics.com/product/ros2-tutorials-full-playlist/ 🧠 Learn Computer Vision using AI: https://kevinwoodrobotics.com/product/computer-vision-using-ai/ 🖥️ Learn AI and Machine Learning: https://kevinwoodrobotics.com/product/ai-and-machine-learning-bundle/ 🛒 Amazon Store (My Top Picks for Robot Projects and More!): https://www.amazon.com/shop/kevinwoodroboticsai?ref_=cm_sw_r_cp_ud_aipsfshop_Q3AMRNBSVVB00Y1XR9TN_3 ☕ Support My Channel: https://buymeacoffee.com/kevinwoodrobotics/ In this video, I will go over depth maps in OpenCV using Python in VS Code. I will explain what depth maps are and how to calculate and tune the parameters to get good depth map results. We will take two stereo images from the Middlebury dataset and use the block matching and semi-global matching algorithms and compare the depth map results. 0:00 Introduction 0:23 What is depth map? 1:19 Why do we need depth map? 1:35 How does depth map work? 3:56 Code Thanks for watching! If you found this video helpful, please like, subscribe and share: https://www.youtube.com/@kevinwoodrobotics Social: LinkedIn: https://www.linkedin.com/in/kevinwoodrobotics Github: https://github.com/kevinwoodrobotics Instagram: https://www.instagram.com/kevinwoodrobotics/ Twitter: https://twitter.com/kevinwoodrobotics