| 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 | |