stereo-depth-estimation-sgm

End-to-end stereo depth estimation workflow using Semi-Global Matching (SGM), bridging Python reference implementations and FPGA-oriented hardware designs with transparent validation and visual comparison.

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6 Stars

0 Forks

6 Watchers

Jupyter Notebook Language

mit License

72.3 SrcLog Score

Cost to Build

$19.8K

Market Value

$19.5K

How is this calculated?

Growth over time

3 data points · 2026-04-11 → 2026-04-25

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What is the Oneiben/stereo-depth-estimation-sgm GitHub project? Description: "End-to-end stereo depth estimation workflow using Semi-Global Matching (SGM), bridging Python reference implementations and FPGA-oriented hardware designs with transparent validation and visual comparison.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone stereo-depth-estimation-sgm

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git clone https://github.com/Oneiben/stereo-depth-estimation-sgm.git

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[email protected]:Oneiben/stereo-depth-estimation-sgm.git

Download ZIP

Download master.zip

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