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license: other
license_name: aplux-model-farm
license_link: https://huggingface.co/APLUX-Agora/StereoNet/blob/main/LICENSE_MODEL_FARM.pdf
pipeline_tag: depth-estimation
tags: [Agora, QNN, AIoT, Qualcomm]
---
# StereoNet model resources
StereoNet 双目视差估计；使用独立、已校正的左右图像，输出像素视差及着色图。
Board builds that [Agora](https://mega.aidlux.com) runs and measures on real Qualcomm boards. Try it online, without a board: https://mega.aidlux.com/models/stereonet
| SoC · board | Precisions | Measured on Agora (default precision) |
| --- | --- | --- |
| QCS8550 · 犀牛派 X1 (Rhino Pi X1) | FP16 | 500.1 ms |
Task: 深度估计. Inputs: left (image), right (image). Outputs: disparity (image), out (json).
## Download
```bash
export AGORA_WORKSPACE="$HOME/my-stereonet"
export AGORA_SOC='QCS8550'
hf download APLUX-Agora/StereoNet \
--include "targets/$AGORA_SOC/*" --local-dir "$AGORA_WORKSPACE/resources"
```
Each `targets/<SoC>/` holds `model.json` (default precision and variant paths) and one directory per precision. Context binaries are named `model.bin`; multi-file packages are kept as published by Model Farm.
Pre- and post-processing, the runner and an exported project: open the model on Agora and choose “部署指南”, or export any workflow that uses it.
## Licence and provenance
Source model licence: see the original model's terms.
Converted, deployable resources: APLUX Model Farm License (LICENSE_MODEL_FARM.pdf). See NOTICE.md and SHA256SUMS.
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