chore: canonical naming migration
Browse files- rskill.yaml +9 -9
rskill.yaml
CHANGED
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@@ -1,4 +1,4 @@
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# rSkill manifest β RT-DETR COCO detector (kind: detector
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#
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# Packages a PaddlePaddle RT-DETR-L model exported to ONNX for use as
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# an OpenRAL perception producer. The skill runs on the camera tee and
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@@ -12,18 +12,18 @@
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# LICENSE: weights are Apache-2.0 (PaddlePaddle RT-DETR public release).
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schema_version: "0.1"
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name: "OpenRAL/rskill-
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version: "0.1.0"
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license: "apache-2.0"
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role: "s1"
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kind: "detector" #
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# ββ Compatibility contract ββββββββββββββββββββββββββββββββββββββββββββββββββ
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# embodiment-agnostic: a perception rSkill (detector/vlm) needs only an RGB
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# camera, not a specific robot. The rSkill<->robot gate exempts these kinds
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# (loader._EMBODIMENT_AGNOSTIC_KINDS
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# it matches any robot/scene.
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embodiment_tags: ["any"] # explicit embodiment-agnostic wildcard
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# The detector reads any RGB camera stream. vla_feature_key is omitted so
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# the loader accepts any camera key, not just "camera1".
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@@ -55,11 +55,11 @@ latency_budget:
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# to cover CPU fallback on smaller hosts.
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per_chunk_ms: 50.0
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# ββ Detector contract
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# 80 COCO labels (subset shown for readability β full list matches the
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# 0-indexed COCO category order used by the exported model).
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detector:
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#
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# WorldState; not the on-demand locate_in_view locator).
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mode: "continuous"
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labels:
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@@ -155,9 +155,9 @@ description: >
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COCO and exported to ONNX. Runs on the camera tee and publishes
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ObjectsMetadata to /openral/perception/objects. 80 COCO categories.
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Apache-2.0 weights. Reference latency ~20 ms on GPU, ~45 ms on CPU.
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#
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# DETECT signals that this skill is a perception producer.
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actions:
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- "detect"
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# rSkill manifest β RT-DETR COCO detector (kind: detector)
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#
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# Packages a PaddlePaddle RT-DETR-L model exported to ONNX for use as
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# an OpenRAL perception producer. The skill runs on the camera tee and
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# LICENSE: weights are Apache-2.0 (PaddlePaddle RT-DETR public release).
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schema_version: "0.1"
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name: "OpenRAL/rskill-rtdetr_coco_r18-any-coco-fp32"
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version: "0.1.0"
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license: "apache-2.0"
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role: "s1"
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kind: "detector" # Perception producer; emits ObjectsMetadata, no Action
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# ββ Compatibility contract ββββββββββββββββββββββββββββββββββββββββββββββββββ
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# embodiment-agnostic: a perception rSkill (detector/vlm) needs only an RGB
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# camera, not a specific robot. The rSkill<->robot gate exempts these kinds
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# (loader._EMBODIMENT_AGNOSTIC_KINDS), so the tag list is empty β
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# it matches any robot/scene.
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embodiment_tags: ["any"] # explicit embodiment-agnostic wildcard
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# The detector reads any RGB camera stream. vla_feature_key is omitted so
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# the loader accepts any camera key, not just "camera1".
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# to cover CPU fallback on smaller hosts.
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per_chunk_ms: 50.0
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# ββ Detector contract ββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 80 COCO labels (subset shown for readability β full list matches the
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# 0-indexed COCO category order used by the exported model).
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detector:
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# Always-on background producer (publishes ObjectsMetadata to
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# WorldState; not the on-demand locate_in_view locator).
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mode: "continuous"
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labels:
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COCO and exported to ONNX. Runs on the camera tee and publishes
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ObjectsMetadata to /openral/perception/objects. 80 COCO categories.
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Apache-2.0 weights. Reference latency ~20 ms on GPU, ~45 ms on CPU.
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This is the detector rSkill kind contract.
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# Action vocabulary for the reasoner LLM tool palette.
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# DETECT signals that this skill is a perception producer.
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actions:
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- "detect"
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