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README.md

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+# topspin-opentt-ball-subset (private)
+
+Derivative training subset for Topspin's M2 ball detector. **Private** —
+not for redistribution.
+
+## Source
+
+OpenTTGames, linked from <https://lab.osai.ai/>. Each match's source files
+are pulled directly from that site.
+
+## Frame-extraction recipe
+
+For every frame whose index appears as a key in the match's
+``ball_markup.json`` (i.e. every frame where OpenTTGames has annotated a
+ball centre point):
+
+1. Seek the source mp4 to that frame.
+2. JPEG-encode the decoded frame (quality 95).
+3. Emit a YOLO label with a single row: class ``0`` (ball), centre at the
+   annotated point, bounding box a fixed 32 px square (16 px half-size)
+   normalised against the actual frame dimensions.
+
+Frames absent from ``ball_markup.json`` (ball occluded or out of frame)
+are not included in this subset.
+
+## Layout
+
+```
+images/<match_id>/<frame_index>.jpg
+labels/<match_id>/<frame_index>.txt
+data.yaml
+README.md
+```
+
+## Class map
+
+| id | name |
+|----|------|
+| 0  | ball |
+
+## Generated by
+
+``topspin-cv/scripts/prepare_ball_subset.py`` — see the Topspin repo for
+the streaming + idempotent generation pipeline.