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Agora board builds (Model Farm, verified on real boards)
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metadata
license: other
license_name: aplux-model-farm
license_link: >-
  https://huggingface.co/APLUX-Agora/DeepLab-V3-Plus-MobileNet/blob/main/LICENSE_MODEL_FARM.pdf
pipeline_tag: image-segmentation
tags:
  - Agora
  - QNN
  - AIoT
  - Qualcomm

DeepLabV3+ model resources

MobileNet 骨干的 DeepLabV3+,Pascal VOC 21 类语义分割。

Board builds that Agora runs and measures on real Qualcomm boards. Try it online, without a board: https://mega.aidlux.com/models/deeplabv3-plus-mobilenet

SoC · board Precisions Measured on Agora (default precision)
QCS6490 · 犀牛派 A1 (Rhino Pi A1) W8A16, W8A8 23.3 ms
QCS8550 · 犀牛派 X1 (Rhino Pi X1) FP16, W8A16, W8A8 17.3 ms

Task: 分割. Inputs: image (image). Outputs: masks (masks).

Download

export AGORA_WORKSPACE="$HOME/my-deeplabv3-plus-mobilenet"
export AGORA_SOC='QCS8550'
hf download APLUX-Agora/DeepLab-V3-Plus-MobileNet \
  --include "targets/$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.