- Kalbee Kalman State Estimation: Directly integrate
kalbee(KalmanFilter,gated_update,RTSSmoother) inkalman.pyandsmoothing.pyfor state estimation and RTS smoothing, registered inpyproject.tomldependencies. - Vectorized Collision Prediction: Refactor
CollisionPredictor.updateincollisions.pyto use 3D NumPy array broadcasting for$O(N^2)$ pairwise Time-To-Collision (TTC) forecasting. - Vectorized Proximity & Social Distance: Refactor
SocialDistanceAnalyzer.updateincrowd.pyto use NumPy distance matrices (np.linalg.norm) instead of pure-Python nested loops. - Instance-Scoped Tracker IDs: Scope track ID generation to
MultiObjectTrackerinstance attributes (self._next_id) intracker.pyto eliminate global class state side-effects across multi-stream tracker instances. - Optimized DTW Trajectory Matching: Pre-compute pairwise Euclidean distance matrices in
dtw_distance(trajectories.py) using NumPy array broadcasting. - Comprehensive Test Verification: Execute
uv run pytestto ensure 100% test pass rate across all 25 test modules.
- Interactive WebAssembly Playground: Deploy browser-based interactive zone testing tool (
play.overstep.ai) using Pyodide and WebAssembly. - HuggingFace Spaces Demos: Host pre-built Gradio / Streamlit blueprints (Forklift Safety Warning, Smart City Traffic Violation Monitor, Retail Heatmaps).
- CI/CD Pipeline: Setup GitHub Actions workflow for automated testing, linting (
ruff), wheel building (hatchling), and PyPI publishing on git tags. - ROS2 Node Integration: Package
overstep_ros2node wrapper for robotics deployments on Jetson Orin and Raspberry Pi 5.
- Show HN Launch: Post "Show HN: Overstep - Spatial AI & Physical Video Analytics Engine for Python" on Hacker News.
- Developer Community Outreach: Share technical deep-dive articles on Reddit (
r/MachineLearning,r/ComputerVision,r/Python,r/robotics). - Ecosystem Integration: Submit PRs / examples for 1-line integration with Roboflow Supervision, Ultralytics YOLO, and DepthPro.
- Documentation & Benchmarks: Publish interactive MkDocs site with side-by-side performance benchmarks vs custom Python scripts.