Model
stereo depth estimation model.
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| Field | Response |
|---|---|
| Intended Application(s) & Domain(s): | Depth Perception for Robotics, Autonomous Vision Navigation and Space Mapping |
| Model Type: | Zero-shot Depth Estimation |
| Intended Users: | This model is intended for uses who need accurate 3D depth for 2D Stereo Vision |
| Output: | Disparity or Depth Map |
| Describe how the model works: | 1. Pass in two Stereo RGB images. 2. Run the model on the stereo input. 3. Save the disparity map and use camera intrinsic valus to obtain the corresponding depth map. |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of | Not Applicable |
| Technical Limitations: | This model may not work well for detecting partially or fully occluded objects. |
| Verified to have met prescribed NVIDIA standards: | Yes |
| Performance Metrics: | Percentage of bad pixels, End-point Error (EPE) |
| Potential Known Risks | Poor depth perception from a failure case could lead to hallucination of objects into the depth scene or wrong depth estimation of objects in a scene |
| Licensing: | NVIDIA Open Model License |