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.
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 IoT Devices
- Dragonwing IQ-9075 EVK
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
Related Models
See all modelsLooking for more? See models created by industry leaders.
Discover Model Makers











