Agora board builds (Model Farm, verified on real boards)

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+targets/QCS8550/FP16/extractor.aidem filter=lfs diff=lfs merge=lfs -text
+targets/QCS8550/FP16/matcher.ctx.bin.aidem filter=lfs diff=lfs merge=lfs -text

NOTICE.md

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+# Provenance
+
+Resources are copied without binary changes from the APLUX Model Farm build `LightGLUE` that Agora verified on real boards (decoded sample check, then measured), pinned by sha256 in SHA256SUMS.
+
+Agora arranges files under targets/<SoC>/<precision>/ and adds model.json. AidLite, AidGen, AidVoice and the Qualcomm QNN runtime are separate dependencies with their own terms.

README.md

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+---
+license: other
+license_name: aplux-model-farm
+license_link: https://huggingface.co/APLUX-Agora/LightGLUE/blob/main/LICENSE_MODEL_FARM.pdf
+tags: [Agora, QNN, AIoT, Qualcomm]
+---
+
+# LightGLUE model resources
+
+两张图片分别提取 512 个 SuperPoint 特征，再由 LightGlue 匹配并检查几何一致性。
+
+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/lightglue
+
+| SoC · board | Precisions | Measured on Agora (default precision) |
+| --- | --- | --- |
+| QCS8550 · 犀牛派 X1 (Rhino Pi X1) | FP16 | 196.3 ms |
+
+Task: 其他. Inputs: image0 (image), image1 (image). Outputs: matches (image), out (json).
+
+## Download
+
+```bash
+export AGORA_WORKSPACE="$HOME/my-lightglue"
+export AGORA_SOC='QCS8550'
+hf download APLUX-Agora/LightGLUE \
+  --include "targets/$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.

SHA256SUMS

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+1a7672eeb35399f00d3f4f1b03f6c04386bf50106065a1a126f933656887a1da  targets/QCS8550/FP16/matcher.ctx.bin.aidem

targets/QCS8550/FP16/composite.json

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+{
+  "assets": {
+    "extractor": "extractor.aidem"
+  },
+  "components": {
+    "matcher": "matcher.ctx.bin.aidem"
+  },
+  "kind": "lightglue",
+  "source": {
+    "files": [
+      {
+        "path": "models/QCS8550/FP16/lightglue_superpoint_matcher_512_fp16.serialized.bin.aidem",
+        "sha256": "1a7672eeb35399f00d3f4f1b03f6c04386bf50106065a1a126f933656887a1da",
+        "size": 28008688
+      },
+      {
+        "path": "models/QCS8550/FP16/superpoint_904_qcs8550_fp16.qnn236.ctx.bin.aidem",
+        "projectId": 1335,
+        "ref": "eb79ab4e00d0be4661d24b9422e8adf84bf914f9",
+        "sha256": "6b6ed57f8b5d10c593108ed2843fd53cd39032984f53a98bdd87362430ab4fd0",
+        "size": 3400536
+      }
+    ],
+    "projectId": 1280,
+    "ref": "ee019bc14602a41b9c7488edcd206017c72e2b8c"
+  },
+  "version": 1
+}

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targets/QCS8550/FP16/matcher.ctx.bin.aidem

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targets/QCS8550/model.json

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+{
+  "soc": "QCS8550",
+  "default_precision": "FP16",
+  "variants": {
+    "FP16": "FP16/"
+  }
+}