python polytrack/track.py --config my_studio.yaml
If successful, you will see a 3D viewport with colored skeletons. The terminal will output latency stats. Under 20ms is good; under 10ms is pro-grade.
This is where Polytrack shines. You map GitHub fields to Polytrack schema:
You can also create formulas. For example, a computed field called “Time to First Response” that calculates the difference between created_at and the timestamp of the first comment. github polytrack
GitHub only knows "blocked by" links if you manually add them. Polytrack can auto-detect dependencies. If Issue A references Depends on #B in its description, Polytrack creates a relational link. You can then generate a Gantt chart to see that if Issue B slips, Issue A slips too.
Research labs are using Polytrack to control robotic arms. Because the output is standard 4x4 transformation matrices, it plugs directly into ROS (Robot Operating System). There is a dedicated polytrack_ros_bridge node in the GitHub forks. python polytrack/track
Setting up the bridge between Polytrack and your GitHub organization is surprisingly straightforward. Here is a step-by-step guide for developers.
This is where the magic happens. The server process subscribes to all camera feeds, matches 2D detections across views using epipolar geometry, and solves for the 3D coordinate. Because it uses Multi-View Geometry rather than depth sensors, it works outdoors and at longer ranges than structured light cameras. If successful, you will see a 3D viewport
Result: A JSON stream of rigid body transforms (position + quaternion rotation) at 60-90 FPS, broadcast over WebSocket or UDP.
Create a view that highlights issues where Time in "In Review" > 24 hours. Polytrack can send a webhook to Slack that says: “@johnny, PR #456 in repo ‘auth-service’ has been waiting for review for 26 hours.”