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v2_english/charset.txt

@@ -0,0 +1,857 @@
+[
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+  "!",
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+]

v2_english/manifest.json

@@ -0,0 +1,165 @@
+{
+  "variant": "v2_english",
+  "profile": "ane",
+  "ane_optimized": {
+    "detector_input_layout": "NCHW",
+    "recognizer_input_layout": "NCHW",
+    "precision": "fp32 detector input / fp16 recognizer+relational",
+    "detector_side": 1024,
+    "region_batch_size": 16,
+    "relational_max_regions": 256,
+    "padded_vocab_size": 896,
+    "sequence_length": 32,
+    "feature_depth": 256,
+    "alignment": {
+      "detector_side_multiple": 32,
+      "vocab_multiple": 64,
+      "batch_power_of_two": true,
+      "relational_max_regions_power_of_two": true
+    }
+  },
+  "models": {
+    "detector": {
+      "path": "v2_english_detector.mlmodel",
+      "format": ".mlmodel",
+      "input_shape": [
+        1,
+        3,
+        1024,
+        1024
+      ],
+      "outputs": {
+        "confidence_map": [
+          1,
+          1,
+          256,
+          256
+        ],
+        "rboxes": [
+          1,
+          5,
+          256,
+          256
+        ],
+        "feature_map": [
+          1,
+          128,
+          256,
+          256
+        ]
+      }
+    },
+    "recognizer": {
+      "path": "v2_english_recognizer.mlpackage",
+      "input_shape": [
+        16,
+        128,
+        8,
+        32
+      ],
+      "outputs": {
+        "logits": [
+          16,
+          32,
+          896
+        ],
+        "embeddings": [
+          16,
+          32,
+          256
+        ]
+      },
+      "actual_vocab_size": 858
+    },
+    "relational": {
+      "path": "v2_english_relational.mlpackage",
+      "inputs": {
+        "rectified_quads": [
+          256,
+          128,
+          2,
+          3
+        ],
+        "original_quads": [
+          256,
+          4,
+          2
+        ],
+        "recognizer_features": [
+          256,
+          32,
+          256
+        ],
+        "valid_mask": [
+          256
+        ]
+      },
+      "outputs": {
+        "word_logits": [
+          256,
+          257
+        ],
+        "line_logits": [
+          256,
+          257
+        ],
+        "line_uncertainty": [
+          256,
+          257
+        ]
+      },
+      "invalid_logit": -10000.0
+    }
+  },
+  "host_pipeline": {
+    "required_steps": [
+      "preprocess image to normalized RGB tensor matching detector_input_layout",
+      "run detector model",
+      "convert detector rboxes to quads",
+      "run quad NMS on host",
+      "rectify feature-map crops on host",
+      "bucket crops into fixed power-of-two batches matching recognizer_input_layout",
+      "run recognizer model",
+      "discard padded vocab ids >= actual_vocab_size",
+      "rectify 2x3 relational crops on host",
+      "pad relational inputs to relational_max_regions",
+      "run relational model",
+      "decode sentence and paragraph graphs on host"
+    ],
+    "not_exported": [
+      "quad_non_maximal_suppression",
+      "rrect_to_quads",
+      "quad rectification",
+      "indirect grid sampling"
+    ],
+    "ane_notes": [
+      "Detector uses an ANE-first export profile when profile=ane.",
+      "Recognizer still contains scaled_dot_product_attention and may not achieve full-ANE execution without architectural changes.",
+      "Relational model is exported as an ML Program for sentence and paragraph grouping, but is expected to run on CPU/GPU rather than full ANE."
+    ]
+  },
+  "validation": {
+    "detector": {
+      "output_0_max_abs_diff": 6.222724914550781e-05,
+      "output_0_mean_abs_diff": 3.884595571435057e-06,
+      "output_1_max_abs_diff": 0.0220947265625,
+      "output_1_mean_abs_diff": 0.00011331704445183277,
+      "output_2_max_abs_diff": 7.003545761108398e-05,
+      "output_2_mean_abs_diff": 8.230363164329901e-07
+    },
+    "recognizer": {
+      "output_0_max_abs_diff": 0.11218294501304626,
+      "output_0_mean_abs_diff": 0.007616693619638681,
+      "output_1_max_abs_diff": 0.020971238613128662,
+      "output_1_mean_abs_diff": 0.0021624965593218803
+    },
+    "relational": {
+      "word_argmax_match_rate": 1.0,
+      "word_prob_mean_abs_diff": 0.0004635746299754828,
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