ibaiGorordo/ONNX-FastACVNet-Depth-Estimation
Python scripts performing stereo depth estimation using the Fast-ACVNet model in ONNX.
This helps computer vision engineers and researchers quickly calculate depth information from stereo camera feeds or images. You provide two images taken from slightly different positions (a stereo pair), and it outputs a depth map, showing how far away objects are. This is useful for tasks like robotic navigation or 3D scene reconstruction.
No commits in the last 6 months.
Use this if you need to rapidly estimate the distance of objects in a scene using standard stereo camera inputs.
Not ideal if you need a solution for single-image depth estimation or if you require an extremely compact, embedded system for real-time inference without Python.
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50
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6
Language
Python
License
MIT
Category
Last pushed
Dec 26, 2022
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