gsurma/mono_depth_estimator
Mono depth estimation for self-driving cars 🚗
This helps create 3D depth maps from standard 2D images, crucial for understanding spatial relationships without specialized hardware. You provide a single image, and it outputs a corresponding depth map. This is for engineers and researchers working on autonomous vehicle navigation, robotics, or augmented reality applications who need to infer distance and spatial layout from camera feeds.
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Use this if you need to quickly estimate the depth of objects in a scene using only a single standard camera image, especially for applications like self-driving cars.
Not ideal if you require highly precise, pixel-accurate depth measurements, as this method is an estimation and not as exact as lidar or stereo vision systems.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 09, 2021
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