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anima_module.yaml

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+schema_version: "1.0"
+
+module:
+  name: cornucopia
+  version: "0.1.0"
+  display_name: "CORNUCOPIA — Large-Scale Synthetic Data for VLA Pre-Training"
+  description: "Scalable synthetic data generation pipeline for vision-language-action model pre-training"
+  category: training.distillation
+  license: Apache-2.0
+  paper: "Large-Scale Synthetic Data for VLA Pre-Training"
+
+capabilities:
+  provides:
+    - type: data_generation
+      subtype: synthetic_vla
+    - type: augmentation
+      subtype: large_scale
+
+interface:
+  inputs:
+    - name: config
+      ros2_type: std_msgs/msg/String
+  outputs:
+    - name: dataset_manifest
+      ros2_type: std_msgs/msg/String
+
+hardware:
+  platforms:
+    - name: linux_x86
+      backends: [onnxruntime_cuda, onnxruntime_cpu]
+
+performance:
+  profiles:
+    - platform: linux_x86
+      model: cornucopia-base
+      backend: onnxruntime_cuda
+      fps: 5
+      latency_p50_ms: 200
+
+safety:
+  failure_mode: returns_empty
+  timeout_ms: 60000
+  health_topic: /anima/cornucopia/health
+
+composability:
+  pairs_well_with:
+    - manipulation.vla
+    - simulation.generation
+  conflicts_with: []
+
+container:
+  image: ghcr.io/robotflow-labs/anima-cornucopia:0.1.0
+  port: 8085