Upload anima_module.yaml with huggingface_hub
Browse files- anima_module.yaml +28 -29
anima_module.yaml
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@@ -2,58 +2,57 @@ schema_version: "1.0"
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module:
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name: heimdall
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version:
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display_name: "HEIMDALL —
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description:
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-
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license: Apache-2.0
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paper: "
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capabilities:
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provides:
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- type:
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subtype:
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- type:
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subtype:
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interface:
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inputs:
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- name:
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ros2_type:
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- name: depth_image
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ros2_type: sensor_msgs/msg/Image
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outputs:
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- name:
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ros2_type:
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- name:
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ros2_type:
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hardware:
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platforms:
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- name: linux_x86
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backends: [onnxruntime_cuda, onnxruntime_cpu]
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- name:
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backends: [
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performance:
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profiles:
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- platform: linux_x86
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model: heimdall-
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backend:
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fps:
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latency_p50_ms:
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safety:
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failure_mode: returns_empty
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timeout_ms:
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health_topic: /anima/heimdall/health
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composability:
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pairs_well_with:
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- perception.depth_estimation
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- perception.point_cloud
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conflicts_with: []
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container:
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image: ghcr.io/robotflow-labs/anima-heimdall:
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port:
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module:
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name: heimdall
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version: 1.0.0
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display_name: "HEIMDALL — AUDRON Acoustic Drone Detection and Classification"
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description: >
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Deep learning framework with fused acoustic signatures for drone type
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recognition. Binary detection and multi-class drone classification from
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MEMS microphone array audio streams.
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category: perception.acoustic
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license: Apache-2.0
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paper: "https://arxiv.org/abs/2512.20407"
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capabilities:
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provides:
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- type: detection
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subtype: acoustic_drone
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- type: classification
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subtype: drone_type
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interface:
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inputs:
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- name: audio_stream
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ros2_type: std_msgs/msg/Float32MultiArray
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outputs:
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- name: detection_event
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ros2_type: std_msgs/msg/String
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- name: health_status
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ros2_type: std_msgs/msg/String
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hardware:
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platforms:
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- name: linux_x86
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backends: [onnxruntime_cuda, onnxruntime_cpu]
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- name: linux_arm64
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backends: [onnxruntime_cpu]
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performance:
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profiles:
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- platform: linux_x86
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model: heimdall-audron
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backend: onnxruntime_cpu
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fps: 48
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latency_p50_ms: 100
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safety:
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failure_mode: returns_empty
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timeout_ms: 100
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health_topic: /anima/heimdall/health
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composability:
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pairs_well_with: []
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conflicts_with: []
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container:
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image: ghcr.io/robotflow-labs/anima-heimdall:1.0.0
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port: 8080
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