willow-runtime 5.2.4

Willow 5 Runtime: Action Recognition, Retargeting, & Edge Evaluator

Willow 5 Runtime SDK (Python)

The Willow 5 Runtime SDK is the local execution environment for the Willow Dynamics platform.

While the Willow Cloud is used to train and generate proprietary Action Models, this SDK allows you to download and execute those models locally on your own hardware. It acts as the bridge between Willow's biomechanical intelligence and your edge devices, robotics, or reinforcement learning simulations.

Core Capabilities

• Local Execution: Run Zero-Shot Action Recognition entirely on your device using .int8 binary signatures.
• Sim-to-Real Retargeting: Convert Computer Vision coordinates (MediaPipe) into ROS (Z-Up) and Unity formats natively.
• Edge Physics: Calculate Jerk, Acceleration, and Power without cloud latency using the ported Da Vinci engine.
• DRM-Compliant: Models can load securely into ephemeral RAM to protect Intellectual Property.

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Installation

pip install willow-runtime

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Configuration

To fetch models, you must initialize the WillowClient with credentials provided in your Partner Dashboard:

1. API URL: The endpoint of your dedicated Willow Gateway.
2. API Key: Your secure access token (authenticates the connection).
3. Customer ID: Your specific Tenant ID (scopes the data access).

from willow import WillowClient

client = WillowClient(
    api_url="https://api.your-gateway.com",
    api_key="sk_live_...",
    customer_id="cust_12345"
)

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Usage Guide

1. Active Streaming (Real-Time)

Best for Robotics, Webcams, or Smart Gyms where frames arrive one by one. The step() method manages an internal sliding window buffer for zero-latency triggering.

from willow import WillowClient, WillowDetector

# 1. Load Model (Secure RAM Stream)
client = WillowClient(api_url="...", api_key="...", customer_id="...")
model = client.get_model("tactical-reload-v1")
detector = WillowDetector(model)

# 2. The Real-Time Loop
# Assume 'get_next_frame()' returns a (75, 3) numpy array of skeletal data
while True:
    current_skeleton, timestamp_ms = get_next_frame()
    
    # .step() executes in <2ms
    event = detector.step(current_skeleton, timestamp_ms)
    
    if event:
        print(f"Action Detected at {event['end_ms']}ms | Confidence: {event['confidence']:.2f}")
        # Trigger Actuator / Robot / UI here

2. Batch Analysis (Passive)

Best for Data Science and Historical Video Processing. Processes an entire sequence array at once.

from willow import WillowDetector, load_local_model
import numpy as np

# Load model from disk (Offline Mode)
model = load_local_model("models/golf-swing-v4.int8")
detector = WillowDetector(model)

# Input: (Frames, 75, 3)
matches = detector.detect(full_sequence, timestamps)

print(f"Found {len(matches)} events.")

3. Robotics & Sim-to-Real

Bridges the gap between Computer Vision coordinates and Robotics standards for NVIDIA Isaac Sim or ROS.

from willow import CoordinateBridge, KinematicRetargeter

# 1. Convert Coordinate Space
# MediaPipe (Y-Down) -> ROS/Isaac Sim (Z-Up)
ros_ready_sequence = CoordinateBridge.to_ros_z_up(raw_skeleton_sequence)

# 2. Extract Joint Angles for RL Training
angles = KinematicRetargeter.extract_joint_angles(ros_ready_sequence)

print(f"Elbow Flexion: {angles['right_elbow_flexion']}")

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Documentation Sections

• Architecture & Best Practices - Understand how the Willow system functions.
• Model Provisioning - How to fetch, cache, and manage secure models.
• Coordinate Transforms - Bridging Willow to ROS, Unity, and Unreal.
• Robotics & Retargeting - Extracting joint angles for RL & Simulation.
• Physics Evaluation - Scoring form, smoothness, and efficiency at the edge.
• Topology Map - The Willow 75-point joint index reference.

Support & Licensing

The Willow Runtime is a premium commercial service. A Partner License is required to provision models.

• Request a License
• Technical Support

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