Depth estimation enables AI to perceive how far objects are from the camera, a critical step toward 3D understanding, robotics, and AR/VR applications. In this tutorial, we explore MiDaS, a depth estimation model by Intel Labs for high-quality monocular depth estimation. We’ll start with a quick overview of the MiDaS GitHub repository and run a depth estimation demo video to visualize the model's performance. You’ll then learn how to implement and run the MiDaS Python code step-by-step, visualize the results, and even perform real-time depth estimation using a webcam.
Chapters:
00:00 - Introduction to depth estimation and MiDaS by Intel Labs
01:00 - MiDaS GitHub repository README walkthrough
04:04 - Depth estimation demo video
05:11 - Step-by-step depth estimation code walkthrough in Python
08:23 - Running the depth estimation code and visualizing results
10:04 - Real-time depth estimation using a webcam
11:03 - Conclusion and key takeaways
🔗 MiDaS GitHub Repo ➡️ https://github.com/isl-org/MiDaS
🔗 Code ➡️ https://drive.google.com/file/d/1UauJ...
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