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StereoNet

Real‑time stereo matching network for disparity estimation.

StereoNet is an end‑to‑end deep architecture for real‑time stereo matching that produces high‑quality, edge‑preserved disparity maps from a rectified stereo image pair.

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Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:KeystoneDepth (epoch=21-step=696366.ckpt)
Input resolution:786x490
Number of parameters:1.94M
Model size (float):7.41 MB

Applicable Scenarios

  • Robotics
  • AR/VR
  • Autonomous Driving

License

Model:MIT

Supported Automotive Devices

  • SA7255P ADP
  • SA8255P ADP
  • SA8295P ADP
  • SA8650P ADP
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8295P
  • Qualcomm® SA8775P

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