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  1. README.md +134 -0
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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-to-text
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+ language:
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+ - en
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+ tags:
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+ - ocr
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+ - cs2
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+ - counter-strike
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+ - hud
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+ - video-games
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+ - crnn-training
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+ pretty_name: CS2 HUD OCR Crops
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # CS2 HUD OCR Crops
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+
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+ Per-region HUD crops sliced from three Counter-Strike 2 match recordings,
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+ labelled where possible from the demo file's `parse_ticks` state. Built
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+ to train a specialist CRNN that replaces the EasyOCR killfeed reader
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+ (currently ~6 s p95 on CPU) with a sub-30 ms specialist.
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+
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+ ## Source
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+
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+ Three matches by the same POV player (`farouqqq`), recorded in CS2's
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+ built-in DVR + the corresponding `.dem` files:
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+
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+ | sample | map | dem | rounds | resolution | fps |
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+ |---------|----------|----------------|--------|-------------|-----|
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+ | sample1 | Ancient | ancent.dem | 8 | 1280 × 1024 | 60 |
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+ | sample2 | Dust 2 | dust_2.dem | 10 | 1280 × 1024 | 60 |
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+ | sample3 | Overpass | overpass.dem | 9 | 1280 × 1024 | 60 |
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+
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+ Frames sampled at 5 fps. Per-region ROIs slice via the
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+ [`hud_extractor`](https://github.com/bashiryounis/coach-api) package's
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+ calibrated `hud_template.json`.
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+
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+ ## Signals + label sources
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+
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+ | signal | label source | gate |
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+ |-----------------|-------------------------------------------|---------------------------------------------------------------|
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+ | `hp` | dem `health` (POV-filtered, alive only) | v_mask brightness + phash dedupe |
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+ | `money` | dem `balance` | v_mask brightness + phash dedupe |
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+ | `ammo` | dem `m_iClip1` (alive only) | v_mask brightness + phash dedupe |
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+ | `timer` | tesserocr text (≥ 0.70 conf) — optional | v_mask brightness + phash dedupe |
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+ | `killcam` | tesserocr binary (≥ 0.50 conf) — optional | v_mask + phash + ±5 s POV death window |
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+ | `killfeed` | **unlabeled** in this v1 (use Colab GPU) | v_mask brightness + phash dedupe; one crop per row slot |
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+ | `friendly_chat` | **unlabeled** in this v1 (use Colab GPU) | v_mask brightness + phash dedupe; one crop per row slot |
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+
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+ `killfeed` and `friendly_chat` are saved without text labels in this
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+ release because the EasyOCR teacher (~600 ms / row on CPU) made a single
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+ pass impractical. The crops are ready for a GPU-side labeling sweep
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+ (EasyOCR `gpu=True` is ~10× faster on a single T4).
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+
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+ ## File layout
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+
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+ ```
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+ dataset/cs2_ocr/
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+ ├── crops/ # PNG, one per labeled crop
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+ │ ├── hp_sample1_r07_f000048.png
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+ │ ├── money_sample2_r03_f000132.png
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+ │ ├── killfeed_sample3_r05_f000240_row2.png
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+ │ ├── friendly_chat_sample1_r10_f000600_row3.png
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+ │ └── ...
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+ ├── train.parquet
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+ ├── val.parquet
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+ ├── test.parquet
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+ └── manifest.json
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+ ```
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+
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+ Split key = `(sample, round)`, so no frame leak across splits.
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+
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+ | split | composition |
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+ |-------|-----------------------------------------------------------------------------------------------------------|
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+ | train | sample1 r07-r10 · sample2 r01-r07 · sample3 r01-r06 |
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+ | val | sample1 r11 · sample2 r08 · sample3 r07 |
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+ | test | sample1 r12-r14 · sample2 r09-r10 · sample3 r08-r09 |
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+
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+ ## Parquet schema
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+
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+ | column | type | notes |
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+ |-----------------|--------|------------------------------------------------------------------------------------|
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+ | `crop_path` | str | relative to dataset root, e.g. `crops/hp_sample1_r07_f000048.png` |
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+ | `signal` | str | one of `hp` `money` `ammo` `timer` `killcam` `killfeed` `friendly_chat` |
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+ | `label` | str | ground-truth string; `""` for unlabeled rows |
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+ | `teacher_engine`| str | `dem` / `tesserocr` / `easyocr` / `unlabeled` |
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+ | `teacher_conf` | float | 0-1; `1.0` for `dem`, `0.0` for `unlabeled` |
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+ | `dem_verified` | bool | `True` iff label came from the dem (the dem is ground truth) |
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+ | `clip_id` | str | source clip, e.g. `sample1_r07` |
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+ | `frame_idx` | int | original frame ordinal inside the clip |
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+ | `width_px` | int | crop width in pixels |
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+ | `height_px` | int | crop height in pixels |
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+
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+ ## How to load
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+
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("ybashir/CS2-HUD-OCR-Crops")
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+ ```
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+
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+ To get an actual image rather than a path you'll need to join the
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+ `crop_path` column with the downloaded `crops/` directory.
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+
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+ ## Build details
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+
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+ - Frame extractor + dem alignment + ROI slicer:
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+ [`scripts/build_crnn_dataset.py`](https://github.com/bashiryounis/coach-api)
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+ - Clip cutter (per-round mp4s):
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+ [`scripts/cut_clips.py`](https://github.com/bashiryounis/coach-api)
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+ - HUD template (calibrated ROIs + row slots):
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+ [`hud_extractor/hud_extractor/config/hud_template.json`](https://github.com/bashiryounis/coach-api)
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+
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+ ## Known limitations
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+
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+ - POV-only labels. The `dem` ground truth applies to `farouqqq`'s state;
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+ other players' HUDs are not in scope.
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+ - `sample3` round 1 begins before the dem started recording. Its
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+ `dem_freeze_s` is negative — the dem-truth labels begin partway into
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+ the clip.
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+ - `parse_event` is broken on these dem files (`EntityNotFound` across
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+ every version of `demoparser2`), so `player_death` correlations for
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+ killfeed verification are not available. EasyOCR remains the only
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+ signal source for killfeed/chat.
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+ - Re-encoded clips (`-c libx264 -crf 20`) lose a few decibels vs. the
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+ source DVR; not visible at HUD resolution but flagged for transparency.
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+
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+ ## License
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+
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+ CC-BY-4.0. The underlying gameplay footage is captured from a personal
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+ Counter-Strike 2 session (Valve Corp.) — the dataset is published for
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+ non-commercial research on HUD-region OCR distillation.
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Git LFS Details

  • SHA256: 6c54a5f9eb292bdc8ed563b18a8bbc512fc307b5ae99fdef40d9d0385e76508c
  • Pointer size: 130 Bytes
  • Size of remote file: 22.9 kB
crops/killfeed_sample3_r04_f000924_row1.png ADDED

Git LFS Details

  • SHA256: e0e191ed584bb3b2f531954c66aeb6aa8f7f46c470b8430defaee42d5661d53f
  • Pointer size: 130 Bytes
  • Size of remote file: 12.5 kB
crops/killfeed_sample3_r04_f006384_row3.png ADDED

Git LFS Details

  • SHA256: e56f4856ae8c36cea771d54b637dab0f5ab0245df38d99b95bb74cd85187eb4e
  • Pointer size: 129 Bytes
  • Size of remote file: 9.14 kB
crops/killfeed_sample3_r05_f001428_row3.png ADDED

Git LFS Details

  • SHA256: b15b5d66f3227db5ec244d8a5979575c369be3b3da896329b7a9a321892c41a1
  • Pointer size: 130 Bytes
  • Size of remote file: 23.4 kB
crops/money_sample2_r04_f005652.png ADDED

Git LFS Details

  • SHA256: 9be9ff48136a646a3e861c47365467181a7a8839314a9ace1efea8202db361f3
  • Pointer size: 129 Bytes
  • Size of remote file: 7.27 kB
crops/money_sample3_r04_f000552.png ADDED

Git LFS Details

  • SHA256: 73a63619f5c7ea1e98c01a226894dda8b606102ccd7865a795e18b1ac37ccb65
  • Pointer size: 129 Bytes
  • Size of remote file: 7.08 kB