Delete README (3).md

README (3).md

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----
-license: mit
-language:
-  - km
-library_name: onnx
-tags:
-  - ocr
-  - khmer
-  - text-detection
-  - text-recognition
-  - onnxruntime
-  - on-device
-pipeline_tag: image-to-text
----
-
-# Khmer OCR (ONNX) — mirror for iAny
-
-On-device **Khmer optical character recognition**: a text **detector** + a text
-**recognizer**, both in ONNX, that read Khmer (and Latin) text out of photos and
-scanned pages — fully offline, in the browser (onnxruntime-web) and on mobile
-(onnxruntime-react-native).
-
-This repository is a **verbatim mirror** of the models from
-[**seanghay/KhmerOCR**](https://github.com/seanghay/KhmerOCR) (MIT), re-hosted so
-the [iAny](https://github.com/sengtha/iAny) app can download them from a stable
-URL. **The model weights are unmodified** — all credit for training goes to
-[Seanghay Yath](https://github.com/seanghay). Only the app's TypeScript
-pre/post-processing was re-implemented from the reference Python.
-
-## Files
-
-| File | Size | SHA-256 |
-| --- | --- | --- |
-| `det.onnx` | 10,867,112 B | `61fb440d2eecd561a4d5ccd41e3be5a14a882643f1ac0e1f05f9f53ff9098e67` |
-| `rec.onnx` | 13,801,555 B | `931e3c960815a6119731d63759eac2ef800318bf131b8a92fecdb580fbbf1e65` |
-
-## Models
-
-### `det.onnx` — text detector (YOLO-style, opset 12)
-- **Input:** `images` — `float32[1, 3, 1024, 1024]`, RGB, letterboxed (aspect
-  preserved, top-left, black padding), values `/255`.
-- **Output:** `output0` — `float32[1, 6, 21504]` → per anchor
-  `[cx, cy, w, h, score_class0, score_class1]`.
-- **Classes:** `0` = figure/image region, `1` = text line.
-- Post-process: score threshold, xywh→xyxy, NMS, divide by the letterbox ratio.
-
-### `rec.onnx` — text recognizer (CRNN + CTC, opset 14)
-- **Input:** `input` — `float32[batch, 1, 32, width]`, grayscale (ITU-R 601-2
-  luma), height 32, width proportional, values `/255`.
-- **Outputs:**
-  - `logits` — `float32[seq_len, batch, 102]` (CTC; class `0` = blank).
-  - `font_logits` — `float32[batch, 6]` (font-style classifier).
-- Greedy CTC decode: argmax per step, collapse repeats, drop blanks. Class `i`
-  maps to glyph `TOKENS[i - 3]` (classes `1`–`2` are special / unused).
-
-**Charset (`TOKENS`, 99 glyphs):**
-
-```
-កខគឃងចឆជឈញដឋឌឍណតថទធនបផពភមយរលវឝឞសហឡអឣឤឥឦឧឩឪឫឬឭឮឯឰឱឲឳាិីឹឺុូួើឿៀេែៃោៅំះៈ៉៊់៌៍៎៏័៑្។៕៖ៗ៘៛៝០១២៣៤៥៦៧៨៩៳
-```
-
-**Font styles (`font_logits`):** `Regular, Italic, Bold, BoldItalic, Moul, MoulLight`.
-
-## Intended use
-
-Offline Khmer document/photo OCR on low-end devices. Works best on reasonably
-clean, straight-on images with a real text layer of printed Khmer. Scanned/photo
-quality (skew, lighting, blur) affects accuracy; there is no OCR fallback for
-image-only content beyond these models.
-
-## License & attribution
-
-**MIT.** Original models and training © [Seanghay Yath](https://github.com/seanghay),
-from [seanghay/KhmerOCR](https://github.com/seanghay/KhmerOCR). Redistributed
-unmodified under the MIT License; this mirror claims no authorship of the weights.