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feat(perception): integrate calibrated operator pipeline

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Add calibrated K1 projection, recorded and near-live perception qualification, unified Rerun operator layers, bounded replay admission, audited viewer controls, worker experiments, and lab evidence.
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DCCONSTRUCTIONS
2026-07-23 00:23:28 +03:00
parent ada2a55ee6
commit b53d6d5a45
221 changed files with 55923 additions and 1357 deletions
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plugins/xgrids-k1/profile_loader.py
+5 -5
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@@ -156,12 +156,12 @@ def _validate_connection_modes(scope: dict[str, Any]) -> None:
"quick-connect": {
"topology": "device-ap",
"direction": "controller-joins-k1-network",
"device_network_action": "none",
"host_network_action": "single-corewlan-association",
"target_address_policy": "reviewed-fixed-k1-ap-private-ipv4",
"acceptance": (
"lixelgo-data-plane-observed-mission-core-physical-acceptance-pending"
"device_network_action": "single-reviewed-ble-ap-activation-write",
"host_network_action": (
"exact-firmware-provider-and-single-corewlan-association"
),
"target_address_policy": "reviewed-fixed-k1-ap-private-ipv4",
"acceptance": "prepared-macos-host-physical-accepted",
},
}
if set(modes) != set(expected):