SLEAP-NN Metrics Visualizer

Upload metrics.npz files to visualize and compare model performance

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Drop metrics.npz or .json files here
Supports multiple files for comparison | Load sample data

📊 Summary Metrics

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📈 Charts

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Distance Error Distribution

PCK vs Threshold

Per-Keypoint Accuracy (mPCK)

Distance Error by Node

OKS Score Distribution

Visibility Confusion Matrix

🎯 Ground Truth Labels (required by Advanced Analytics · pose overlay · Visualize Frames)
🎞️ Video (shared, optional — enables image behind pose overlay)
⚠ Browsers can only decode .mp4, .mov, .webm, .m4v, and .mkv. .avi files won't load — convert first with:
uvx --from static-ffmpeg static_ffmpeg -i input.avi -c:v libx264 -pix_fmt yuv420p output.mp4
Video
+ Drop video file

🔬 Advanced Analytics

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⚠ For the views below to match the numbers, each model's GT + preds SLPs must come from the same train/val split as its metrics NPZ. Use the per-model GT slot on each card if your models have different splits.
In Both (compare) mode this applies to every loaded model — otherwise single-model views are unaffected, and per-model errors stay correct for whichever model you select.

Per-Frame Timeline

Node × Frame Heatmap

Worst Instances

Pose Overlay

Ground truth Prediction Node error: (low → high)