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Download README.md from APLUX-Agora/QuickSRNetMedium: direct link, hf CLI and curl.
- Browser
- Download file 1.58 kB
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https://huggingface.co/APLUX-Agora/QuickSRNetMedium/resolve/main/README.md
- Command line
-
hf download hf://APLUX-Agora/QuickSRNetMedium/README.md
-
curl -L -o README.md https://huggingface.co/APLUX-Agora/QuickSRNetMedium/resolve/main/README.md
1.58 kB
metadata
license: other
license_name: aplux-model-farm
license_link: >-
https://huggingface.co/APLUX-Agora/QuickSRNetMedium/blob/main/LICENSE_MODEL_FARM.pdf
pipeline_tag: image-to-image
tags:
- Agora
- QNN
- AIoT
- Qualcomm
QuickSRNet 4× model resources
高通 QuickSRNet,把低分辨率图片放大 4 倍并恢复细节。
Board builds that Agora runs and measures on real Qualcomm boards. Try it online, without a board: https://mega.aidlux.com/models/quicksrnet-medium
| SoC · board | Precisions | Measured on Agora (default precision) |
|---|---|---|
| QCS6490 · 犀牛派 A1 (Rhino Pi A1) | W8A16, W8A8 | 2.1 ms |
| QCS8550 · 犀牛派 X1 (Rhino Pi X1) | FP16, W8A16, W8A8 | 1.7 ms |
Task: 图像增强. Inputs: image (image). Outputs: image (image).
Download
export AGORA_WORKSPACE="$HOME/my-quicksrnet-medium"
export AGORA_SOC='QCS8550'
hf download APLUX-Agora/QuickSRNetMedium \
--include "targets/$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.