Gallery

Championship 1500m sample

Josh Kerr

Kerr's sample is useful because the clip is crowded but still readable. The model has to keep choosing the right runner instead of the easiest body in frame.

Josh Kerr racing on a track

Upright pack running, high rhythm proxy, and a strong knee-angle sweep from the usable frames.

Stride readout

These are clip-derived signals, not a coaching diagnosis. The point is to show what the pipeline can read and where the video still needs review.

Knee sweep

147 deg

Average left/right knee angle range in the processed clip.

Hip bounce

8.7%

Normalized hip vertical oscillation proxy from pose landmarks.

Readable frames

100%

Frames where the pipeline kept enough pose signal to use the stride.

Processed clips

5.83s146 of 146 usable frames

Championship pack segment

A 1500m race clip with multiple runners close together and a broadcast camera angle.

Stride rhythm proxy

9.42

Peak spacing in the lower-body motion signal.

Knee lift proxy

30%

Relative vertical knee travel in the normalized pose.

Pose visibility

72%

Mean landmark visibility across the usable clip.

  • The rhythm proxy is the highest in the current gallery set.
  • Knee sweep is large, especially on the right-side read.
  • Pose visibility is lower than the cleaner clips, which makes this a useful identity and tracking test.
Source video

Runner isolation

The selected runner mask over the source segment.

Stride skeleton

Pose landmarks rendered frame by frame.