CS2 HUD OCR Crops Per region HUD crops sliced from three Counter Strike 2 match recordings, labelled where possible from the demo file's parse ticks state. Built to train a specialist CRNN that replaces the EasyOCR killfeed reader (currently ~6 s p95 on CPU) with a sub 30 ms specialist. Source Three matches by the same POV player ( farouqqq ), recorded in CS2's built in DVR + the corresponding .dem files: sample map dem rounds resolution fps sample1 Ancient ancent.dem 8 1280 × 1024 60 sample2 Dust 2 dust 2.dem 10 1280 × 1024 60 sample3 Overpass overpass.dem 9 1280 × 1024 60 Frames sampled at 5 fps. Per region ROIs slice via the hud extractor package's calibrated hud template.json . Signals + label sources signal label source gate hp dem health (POV filtered, alive only) v mask brightness + phash dedupe money dem balance v mask brightness + phash dedupe ammo dem m iClip1 (alive only) v mask brightness + phash dedupe timer tesserocr text (≥ 0.70 conf) — optional v mask brightness + phash dedupe killcam tesserocr binary (≥ 0.50 conf) — optional v mask + phash + ±5 s POV death window killfeed unlabeled in this v1 (use Colab GPU) v mask brightness + phash dedupe; one crop per row slot f…
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