Re-export under the get_model_schema contract; restructure to the MODEL_SPEC layout

.gitattributes

@@ -57,3 +57,27 @@ telugu/EasyOCR_telugu_xnnpack.pte filter=lfs diff=lfs merge=lfs -text
 zh_sim/EasyOCR_zh_sim_coreml.pte filter=lfs diff=lfs merge=lfs -text
 zh_sim/EasyOCR_zh_sim_vulkan.pte filter=lfs diff=lfs merge=lfs -text
 zh_sim/EasyOCR_zh_sim_xnnpack.pte filter=lfs diff=lfs merge=lfs -text
+cyrillic/coreml/easy_ocr_cyrillic_coreml_int8.pte filter=lfs diff=lfs merge=lfs -text
+cyrillic/vulkan/easy_ocr_cyrillic_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+cyrillic/xnnpack/easy_ocr_cyrillic_xnnpack_int8.pte filter=lfs diff=lfs merge=lfs -text
+english/coreml/easy_ocr_english_coreml_int8.pte filter=lfs diff=lfs merge=lfs -text
+english/vulkan/easy_ocr_english_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+english/xnnpack/easy_ocr_english_xnnpack_int8.pte filter=lfs diff=lfs merge=lfs -text
+japanese/coreml/easy_ocr_japanese_coreml_int8.pte filter=lfs diff=lfs merge=lfs -text
+japanese/vulkan/easy_ocr_japanese_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+japanese/xnnpack/easy_ocr_japanese_xnnpack_int8.pte filter=lfs diff=lfs merge=lfs -text
+kannada/coreml/easy_ocr_kannada_coreml_int8.pte filter=lfs diff=lfs merge=lfs -text
+kannada/vulkan/easy_ocr_kannada_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+kannada/xnnpack/easy_ocr_kannada_xnnpack_int8.pte filter=lfs diff=lfs merge=lfs -text
+korean/coreml/easy_ocr_korean_coreml_int8.pte filter=lfs diff=lfs merge=lfs -text
+korean/vulkan/easy_ocr_korean_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+korean/xnnpack/easy_ocr_korean_xnnpack_int8.pte filter=lfs diff=lfs merge=lfs -text
+latin/coreml/easy_ocr_latin_coreml_int8.pte filter=lfs diff=lfs merge=lfs -text
+latin/vulkan/easy_ocr_latin_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+latin/xnnpack/easy_ocr_latin_xnnpack_int8.pte filter=lfs diff=lfs merge=lfs -text
+telugu/coreml/easy_ocr_telugu_coreml_int8.pte filter=lfs diff=lfs merge=lfs -text
+telugu/vulkan/easy_ocr_telugu_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+telugu/xnnpack/easy_ocr_telugu_xnnpack_int8.pte filter=lfs diff=lfs merge=lfs -text
+zh_sim/coreml/easy_ocr_zh_sim_coreml_int8.pte filter=lfs diff=lfs merge=lfs -text
+zh_sim/vulkan/easy_ocr_zh_sim_vulkan_fp16.pte filter=lfs diff=lfs merge=lfs -text
+zh_sim/xnnpack/easy_ocr_zh_sim_xnnpack_int8.pte filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,6 +1,7 @@
 ---
 license: mit
 ---
+
 # Introduction
 
 This repository hosts the [EasyOCR](https://github.com/JaidedAI/EasyOCR) models — the
@@ -18,6 +19,14 @@ pre/post-processing (resize, normalize, box extraction, crop, CTC decode) is the
 and is driven by `config.json`. EasyOCR is the *fallback* pipeline —
 [PP-OCRv6](https://huggingface.co/software-mansion/react-native-executorch-pp-ocrv6) is primary.
 
+## Repository layout
+
+```
+<language>/<backend>/config.json                 # per-backend spec
+<language>/<backend>/easy_ocr_<language>_<backend>_<precision>.pte
+<language>/charset.txt                           # charset[i] -> logit i+1, blank = 0
+```
+
 ## Languages
 
 | code | charset size | code | charset size |
@@ -35,30 +44,34 @@ Charset index `i` maps to logit `i + 1` (logit `0` is the CTC blank).
 
 | method | input | output |
 |---|---|---|
-| `detect` (CRAFT) | `[1,3,H,W]` f32 RGB, **ImageNet-normalized by the client**: `(x/255 − mean)/std`, `mean=[0.485,0.456,0.406]`, `std=[0.229,0.224,0.225]` | score `[1,H/2,W/2,2]` (region + affinity, NHWC) and feature `[1,32,H/2,W/2]` |
+| `detect` (CRAFT) | `[1,3,H,W]` f32 RGB, **ImageNet-normalized by the client**: `(x/255 − mean)/std`, `mean=[0.485,0.456,0.406]`, `std=[0.229,0.224,0.225]` | score `[1,H/2,W/2,2]` (region + affinity, NHWC) |
 | `recognize` (CRNN) | `[1,3,64,512]` f32 RGB, client-normalized `(x/255 − 0.5)/0.5` (RGB→gray conv is baked) | `[1,127,V]` probs (softmax baked) |
 
 **Nothing is baked for input normalization** — the client normalizes before calling, with
-*different* norms per method (ImageNet for detect, `0.5/0.5` for recognize).
+*different* norms per method (ImageNet for detect, `0.5/0.5` for recognize). `detect` exports
+the detection heatmap only; CRAFT's RefineNet feature map is dropped, as nothing on-device
+consumes it.
 
-## Shape discovery (companion methods)
+## Shape discovery (`get_model_schema`)
 
-Every method carries exactly **one** no-arg discovery companion:
+Every `.pte` exports one no-arg constant method, **`get_model_schema`**, returning a JSON
+`ModelSpec` string: per method, the input and output parameter specs (dtype plus a domain per
+dimension — `constant`, `range` with `{min, max, step}`, or `enum` with explicit `choices`) and
+the runtime constraints the method declares over its dimensions. The older
+`get_dynamic_dims_<m>` / `get_enum_shapes_<m>` companion methods are **gone** — everything they
+carried now lives in this one document.
 
-- `get_dynamic_dims_<method>` — dynamic method. One `int32 [rank, 3]` tensor per tensor
-  input; rows are `[min, max, step]` (static dims `[n, n, 1]`).
-- `get_enum_shapes_<method>` — enumerated/fixed method. One `int32 [N, rank]` tensor per
-  tensor input; each row is a complete legal shape (cross-dimension coupling is exact —
-  `1280×320` listed does **not** imply `320×1280`). Snap inputs to the nearest row.
-
-| backend | `detect` | `recognize` |
+| backend | `detect` H | `detect` W |
 |---|---|---|
-| `xnnpack` | `get_dynamic_dims_detect` → H, W ∈ `[320, 1280]` step 32 | `get_enum_shapes_recognize` → `[[1,3,64,512]]` |
-| `vulkan` | `get_dynamic_dims_detect` → H ∈ `[800, 1280]`, W ∈ `[320, 1280]` step 32 | `get_enum_shapes_recognize` → `[[1,3,64,512]]` |
-| `coreml` | `get_enum_shapes_detect` → `800²`, `1280²`, `1280×320` | `get_enum_shapes_recognize` → `[[1,3,64,512]]` |
+| `xnnpack` | `range` `[320, 1280]` step 32 | `range` `[320, 1280]` step 32 |
+| `vulkan` | `range` `[800, 1280]` step 32 | `range` `[320, 1280]` step 32 |
+| `coreml` | `enum` `320, 800, 1280` | `enum` `320, 800, 1280` |
 
-`detect` runs once per image; `recognize` runs once per text line (the client snaps every
-crop to width 512 — the CRNN's BiLSTM only delegates at a fixed time dimension).
+`recognize` is fixed at `[1,3,64,512]` on every backend and declares a **linear runtime
+constraint** tying its input width to its CTC timestep count: `width = 4 × timesteps + 4`. The
+CRNN crops a trailing timestep, so `512 → 127` is *not* a plain width/timestep ratio — read the
+constraint rather than dividing. `detect` runs once per image; `recognize` runs once per text
+line, with every crop snapped to width 512 (the BiLSTM only delegates at a fixed time dimension).
 
 ## Backends
 
@@ -89,3 +102,6 @@ the compatibility note in the
 [ExecuTorch GitHub repository](https://github.com/pytorch/executorch/blob/main/runtime/COMPATIBILITY.md).
 If you work with React Native ExecuTorch, the library constants guarantee compatibility with the
 runtime used behind the scenes.
+
+These models were exported with ExecuTorch 1.3.1 and **no forward compatibility** is
+guaranteed; older runtimes may not load them.

config.json

@@ -0,0 +1,3 @@
+{
+  "modelName": "easy-ocr"
+}

cyrillic/coreml/config.json

@@ -0,0 +1,70 @@
+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "easy_ocr",
+  "family": "easyocr",
+  "size": "cyrillic",
+  "capabilities": [
+    "text-detection",
+    "text-recognition"
+  ],
+  "backend": "coreml",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "easy_ocr_cyrillic_coreml_int8.pte",
+      "precision": "int8",
+      "quantized": true,
+      "default": true,
+      "size_bytes": 26883403,
+      "methods": {
+        "detect": {
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                -1,
+                -1
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                1,
+                -1,
+                -1,
+                2
+              ],
+              "dtype": "float32"
+            }
+          ]
+        },
+        "recognize": {
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                64,
+                512
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                1,
+                127,
+                208
+              ],
+              "dtype": "float32"
+            }
+          ]
+        }
+      }
+    }
+  ]
+}

cyrillic/coreml/easy_ocr_cyrillic_coreml_int8.pte

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cyrillic/vulkan/config.json

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+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "easy_ocr",
+  "family": "easyocr",
+  "size": "cyrillic",
+  "capabilities": [
+    "text-detection",
+    "text-recognition"
+  ],
+  "backend": "vulkan",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "easy_ocr_cyrillic_vulkan_fp16.pte",
+      "precision": "fp16",
+      "quantized": false,
+      "default": true,
+      "size_bytes": 53436736,
+      "methods": {
+        "detect": {
+          "inputs": [
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+              "shape": [
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+                -1,
+                -1
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+            }
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+                -1,
+                -1,
+                2
+              ],
+              "dtype": "float32"
+            }
+          ]
+        },
+        "recognize": {
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                64,
+                512
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                1,
+                127,
+                208
+              ],
+              "dtype": "float32"
+            }
+          ]
+        }
+      }
+    }
+  ]
+}

cyrillic/vulkan/easy_ocr_cyrillic_vulkan_fp16.pte

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cyrillic/xnnpack/config.json

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+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "easy_ocr",
+  "family": "easyocr",
+  "size": "cyrillic",
+  "capabilities": [
+    "text-detection",
+    "text-recognition"
+  ],
+  "backend": "xnnpack",
+  "license": "apache-2.0",
+  "variants": [
+    {
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+      "precision": "int8",
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+      "default": true,
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+      "methods": {
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+            }
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+          "outputs": [
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+                1,
+                -1,
+                -1,
+                2
+              ],
+              "dtype": "float32"
+            }
+          ]
+        },
+        "recognize": {
+          "inputs": [
+            {
+              "shape": [
+                1,
+                3,
+                64,
+                512
+              ],
+              "dtype": "float32"
+            }
+          ],
+          "outputs": [
+            {
+              "shape": [
+                1,
+                127,
+                208
+              ],
+              "dtype": "float32"
+            }
+          ]
+        }
+      }
+    }
+  ]
+}

cyrillic/xnnpack/easy_ocr_cyrillic_xnnpack_int8.pte

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english/coreml/config.json

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+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "easy_ocr",
+  "family": "easyocr",
+  "size": "english",
+  "capabilities": [
+    "text-detection",
+    "text-recognition"
+  ],
+  "backend": "coreml",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "easy_ocr_english_coreml_int8.pte",
+      "precision": "int8",
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+            }
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+                2
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+            }
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+              "shape": [
+                1,
+                3,
+                64,
+                512
+              ],
+              "dtype": "float32"
+            }
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+              "shape": [
+                1,
+                127,
+                97
+              ],
+              "dtype": "float32"
+            }
+          ]
+        }
+      }
+    }
+  ]
+}

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english/vulkan/config.json

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+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "easy_ocr",
+  "family": "easyocr",
+  "size": "english",
+  "capabilities": [
+    "text-detection",
+    "text-recognition"
+  ],
+  "backend": "vulkan",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "easy_ocr_english_vulkan_fp16.pte",
+      "precision": "fp16",
+      "quantized": false,
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+      "size_bytes": 53407108,
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+                97
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english/xnnpack/config.json

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+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "easy_ocr",
+  "family": "easyocr",
+  "size": "english",
+  "capabilities": [
+    "text-detection",
+    "text-recognition"
+  ],
+  "backend": "xnnpack",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "easy_ocr_english_xnnpack_int8.pte",
+      "precision": "int8",
+      "quantized": true,
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+  ]
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japanese/coreml/config.json

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+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "easy_ocr",
+  "family": "easyocr",
+  "size": "japanese",
+  "capabilities": [
+    "text-detection",
+    "text-recognition"
+  ],
+  "backend": "coreml",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "easy_ocr_japanese_coreml_int8.pte",
+      "precision": "int8",
+      "quantized": true,
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+                2215
+              ],
+              "dtype": "float32"
+            }
+          ]
+        }
+      }
+    }
+  ]
+}

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japanese/vulkan/config.json

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+{
+  "$schema": "https://huggingface.co/software-mansion/react-native-executorch-spec/resolve/main/config.schema.json",
+  "model": "easy_ocr",
+  "family": "easyocr",
+  "size": "japanese",
+  "capabilities": [
+    "text-detection",
+    "text-recognition"
+  ],
+  "backend": "vulkan",
+  "license": "apache-2.0",
+  "variants": [
+    {
+      "file": "easy_ocr_japanese_vulkan_fp16.pte",
+      "precision": "fp16",
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