fix: reduced YOLO26 CoreML replaced in place; drop the -static copies

The static (batch 1) YOLO26 @320/@256 CoreML packages already live at their original paths. The -static copies are removed, and source/ carries the recipe that exports them static under the original names.

objectDetection/yolo26/coreml/camstack-yolo26l-256-static.mlpackage/Data/com.apple.CoreML/model.mlmodel

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-size 299148

objectDetection/yolo26/coreml/camstack-yolo26l-256-static.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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objectDetection/yolo26/coreml/camstack-yolo26l-256-static.mlpackage/Manifest.json

@@ -1,18 +0,0 @@
-{
-    "fileFormatVersion": "1.0.0",
-    "itemInfoEntries": {
-        "5895DE69-3315-4497-B0A3-D859F316080A": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Specification",
-            "name": "model.mlmodel",
-            "path": "com.apple.CoreML/model.mlmodel"
-        },
-        "F53DC23C-6846-4D09-AAA2-81D6879083D9": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Weights",
-            "name": "weights",
-            "path": "com.apple.CoreML/weights"
-        }
-    },
-    "rootModelIdentifier": "5895DE69-3315-4497-B0A3-D859F316080A"
-}

objectDetection/yolo26/coreml/camstack-yolo26l-320-static.mlpackage/Data/com.apple.CoreML/model.mlmodel

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objectDetection/yolo26/coreml/camstack-yolo26l-320-static.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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objectDetection/yolo26/coreml/camstack-yolo26l-320-static.mlpackage/Manifest.json

@@ -1,18 +0,0 @@
-{
-    "fileFormatVersion": "1.0.0",
-    "itemInfoEntries": {
-        "7FC1F646-B8BF-439F-AAB7-3207FEC3456D": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Specification",
-            "name": "model.mlmodel",
-            "path": "com.apple.CoreML/model.mlmodel"
-        },
-        "E4B6FCB6-9D2D-4F31-A976-5122A8EF09BB": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Weights",
-            "name": "weights",
-            "path": "com.apple.CoreML/weights"
-        }
-    },
-    "rootModelIdentifier": "7FC1F646-B8BF-439F-AAB7-3207FEC3456D"
-}

objectDetection/yolo26/coreml/camstack-yolo26m-256-static.mlpackage/Data/com.apple.CoreML/model.mlmodel

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objectDetection/yolo26/coreml/camstack-yolo26m-256-static.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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objectDetection/yolo26/coreml/camstack-yolo26m-256-static.mlpackage/Manifest.json

@@ -1,18 +0,0 @@
-{
-    "fileFormatVersion": "1.0.0",
-    "itemInfoEntries": {
-        "2662EBF2-2892-45FD-A11C-62C3B40A3514": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Weights",
-            "name": "weights",
-            "path": "com.apple.CoreML/weights"
-        },
-        "91A07807-3E27-40B7-B6DF-62ADDE744D44": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Specification",
-            "name": "model.mlmodel",
-            "path": "com.apple.CoreML/model.mlmodel"
-        }
-    },
-    "rootModelIdentifier": "91A07807-3E27-40B7-B6DF-62ADDE744D44"
-}

objectDetection/yolo26/coreml/camstack-yolo26m-320-static.mlpackage/Data/com.apple.CoreML/model.mlmodel

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objectDetection/yolo26/coreml/camstack-yolo26m-320-static.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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objectDetection/yolo26/coreml/camstack-yolo26m-320-static.mlpackage/Manifest.json

@@ -1,18 +0,0 @@
-{
-    "fileFormatVersion": "1.0.0",
-    "itemInfoEntries": {
-        "104C5E70-62B7-4B34-926E-87703E5D70A3": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Specification",
-            "name": "model.mlmodel",
-            "path": "com.apple.CoreML/model.mlmodel"
-        },
-        "F8212E6D-5E66-4579-A642-1AF789609EAC": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Weights",
-            "name": "weights",
-            "path": "com.apple.CoreML/weights"
-        }
-    },
-    "rootModelIdentifier": "104C5E70-62B7-4B34-926E-87703E5D70A3"
-}

objectDetection/yolo26/coreml/camstack-yolo26n-256-static.mlpackage/Data/com.apple.CoreML/model.mlmodel

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objectDetection/yolo26/coreml/camstack-yolo26n-256-static.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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objectDetection/yolo26/coreml/camstack-yolo26n-256-static.mlpackage/Manifest.json

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-{
-    "fileFormatVersion": "1.0.0",
-    "itemInfoEntries": {
-        "163A2A21-0CCA-4A9A-9D6E-C1C123336717": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Specification",
-            "name": "model.mlmodel",
-            "path": "com.apple.CoreML/model.mlmodel"
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-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Weights",
-            "name": "weights",
-            "path": "com.apple.CoreML/weights"
-        }
-    },
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objectDetection/yolo26/coreml/camstack-yolo26n-320-static.mlpackage/Data/com.apple.CoreML/model.mlmodel

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objectDetection/yolo26/coreml/camstack-yolo26n-320-static.mlpackage/Manifest.json

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-{
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-            "path": "com.apple.CoreML/weights"
-        }
-    },
-    "rootModelIdentifier": "217243A3-19B4-443D-9A19-AFC04B242EC5"
-}

objectDetection/yolo26/coreml/camstack-yolo26s-256-static.mlpackage/Data/com.apple.CoreML/model.mlmodel

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objectDetection/yolo26/coreml/camstack-yolo26s-256-static.mlpackage/Manifest.json

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-{
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-    "itemInfoEntries": {
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-            "author": "com.apple.CoreML",
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-            "path": "com.apple.CoreML/weights"
-        }
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objectDetection/yolo26/coreml/camstack-yolo26s-320-static.mlpackage/Data/com.apple.CoreML/model.mlmodel

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objectDetection/yolo26/coreml/camstack-yolo26s-320-static.mlpackage/Manifest.json

@@ -1,18 +0,0 @@
-{
-    "fileFormatVersion": "1.0.0",
-    "itemInfoEntries": {
-        "80ED118A-E065-4F91-BA0B-AE2C528205F9": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Weights",
-            "name": "weights",
-            "path": "com.apple.CoreML/weights"
-        },
-        "B2385BFD-F5F3-4159-B714-A3B9EC09B22B": {
-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Specification",
-            "name": "model.mlmodel",
-            "path": "com.apple.CoreML/model.mlmodel"
-        }
-    },
-    "rootModelIdentifier": "B2385BFD-F5F3-4159-B714-A3B9EC09B22B"
-}

source/README.md

@@ -39,7 +39,7 @@ What the recipes encode (the hosted files record each of these):
 | Folder | Files | ONNX | CoreML | OpenVINO IR |
 | --- | --- | --- | --- | --- |
 | `objectDetection/yolo26` | `camstack-yolo26{n,s,m,l,x}` @640 | static, opset 17 | static, batch 1 | FP16 as `<stem>.xml` and `<stem>-fp16.xml`; INT8 `<stem>-int8.xml` (128 images) |
-| `objectDetection/yolo26` | `camstack-yolo26{n,s,m,l}-{320,256}` | dynamic axes, opset 17 | static, batch 1, FP16, as `<stem>-static.mlpackage` and `<stem>.mlpackage` | FP32 `<stem>.xml`; INT8 `<stem>-int8.xml` (128 images) |
+| `objectDetection/yolo26` | `camstack-yolo26{n,s,m,l}-{320,256}` | dynamic axes, opset 17 | static, batch 1, FP16 | FP32 `<stem>.xml`; INT8 `<stem>-int8.xml` (128 images) |
 | `objectDetection/yolov9` | `camstack-yolov9{t,s,m,c}-{320,640}` | static, opset 13 | static, batch 1 | FP16 `<stem>-fp16.xml`; INT8 `<stem>-int8.xml` (300 images) |
 | `segmentation/yolo26-seg` | `camstack-yolo26{n,s,m}-seg` @640 | static, opset 17 | static, batch 1 | FP16 `<stem>.xml` |
 
@@ -54,9 +54,9 @@ use coremltools 8.3 with PyTorch 2.5.1, the macOS pins in `requirements.txt`.
 The @320 and @256 CoreML packages were batch-flexible (1..16) until
 2026-10-07. That package aborts any process that loads it on macOS 26.2, on
 every compute unit, because Core ML's `gather_nd` shape pass fails on a
-flexible batch. They are now exported with a static batch of 1. The same
-package is published as `<stem>-static.mlpackage` (the name the catalog uses)
-and under the old `<stem>.mlpackage` name.
+flexible batch. They are now exported with a static batch of 1 and were
+replaced in place, under the same names. The script refuses a batch-flexible
+CoreML recipe for a YOLO26 checkpoint.
 
 ### INT8 calibration
 

source/build-camstack-models.py

@@ -134,22 +134,6 @@ class Recipe:
     openvino: tuple[OpenvinoOutput, ...] = ()
     calib_samples: int = 0
     note: str = ''
-    # The CoreML package's stem when it differs from `name`. A package that had
-    # to be re-exported in an incompatible way gets a NEW file name, because a
-    # node keeps any package already on disk under the old one forever.
-    coreml_name: Optional[str] = None
-    # Earlier stems the SAME package is also published under, so a release
-    # whose catalog still names them downloads the working package too.
-    coreml_aliases: tuple[str, ...] = ()
-
-    @property
-    def coreml_stem(self) -> str:
-        return self.coreml_name or self.name
-
-    def coreml_paths(self) -> list[str]:
-        """Every mirror path of the CoreML package: its own, then its aliases."""
-        return [f'{self.folder}/coreml/{stem}.mlpackage/'
-                for stem in (self.coreml_stem, *self.coreml_aliases)]
 
     def outputs(self) -> list[str]:
         """Mirror paths this recipe produces (an .mlpackage is a directory)."""
@@ -157,7 +141,7 @@ class Recipe:
         if self.onnx is not None:
             out.append(f'{self.folder}/onnx/{self.name}.onnx')
         if self.coreml is not None:
-            out.extend(self.coreml_paths())
+            out.append(f'{self.folder}/coreml/{self.name}.mlpackage/')
         for ov in self.openvino:
             stem = f'{self.folder}/openvino/{self.name}{ov.suffix}'
             out.extend([f'{stem}.xml', f'{stem}.bin'])
@@ -200,9 +184,9 @@ def _yolo26_reduced(tier: str, res: int) -> Recipe:
     unallocated pointer in `gather_nd` when the input batch is a range. YOLO26's
     NMS-free head is the only hosted graph with a `gather_nd`, which is why the
     one other batch-flexible package (bird-classifier) never hit it, and why the
-    static @640 YOLO26 packages load. The static export loads
-    and runs on every compute unit, so it is published under a new stem
-    (`-static`) and under the old one.
+    static @640 YOLO26 packages load. The static export loads and runs on every
+    compute unit and replaced the flexible one in place (D742);
+    `check_recipes` keeps a YOLO26 CoreML export from going flexible again.
     """
     return Recipe(
         name=f'camstack-yolo26{tier}-{res}', folder='objectDetection/yolo26', imgsz=res,
@@ -211,8 +195,6 @@ def _yolo26_reduced(tier: str, res: int) -> Recipe:
         coreml=CoremlExport(dynamic=False, batch=1, half=True),
         openvino=(OpenvinoOutput('', 'fp32'), OpenvinoOutput('-int8', 'int8')),
         calib_samples=128,
-        coreml_name=f'camstack-yolo26{tier}-{res}-static',
-        coreml_aliases=(f'camstack-yolo26{tier}-{res}',),
     )
 
 
@@ -245,6 +227,23 @@ RECIPES: tuple[Recipe, ...] = (
     *(_yolo26_seg(t) for t in 'nsm'),
 )
 
+# Checkpoints whose graph carries YOLO26's NMS-free head (`topk` + `gather_nd`).
+# Core ML aborts the process that loads such a graph with a batch-flexible input
+# (macOS 26.2, every compute unit; D742), so their CoreML export is static.
+GATHER_ND_CHECKPOINT_PREFIX = 'yolo26'
+
+
+def check_recipes(recipes: tuple[Recipe, ...]) -> list[str]:
+    """Recipes whose CoreML export Core ML cannot load; empty when all is well."""
+    return [
+        f'{r.name}: CoreML export must be static (dynamic=False, batch=1) — a '
+        f'batch-flexible {r.checkpoint} package aborts the process that loads it (D742)'
+        for r in recipes
+        if r.coreml is not None and r.coreml.dynamic
+        and r.checkpoint.startswith(GATHER_ND_CHECKPOINT_PREFIX)
+    ]
+
+
 FAMILIES = {
     'yolo26': 'objectDetection/yolo26',
     'yolov9': 'objectDetection/yolov9',
@@ -383,9 +382,7 @@ def build_coreml(recipe: Recipe, out: Path, verify: bool) -> Path:
         checkpoint_path(recipe), format='coreml', imgsz=recipe.imgsz,
         dynamic=c.dynamic, batch=c.batch, half=c.half, nms=False,
     )
-    dest = place(src, out / recipe.folder / 'coreml' / f'{recipe.coreml_stem}.mlpackage')
-    for alias in recipe.coreml_aliases:
-        place(dest, out / recipe.folder / 'coreml' / f'{alias}.mlpackage')
+    dest = place(src, out / recipe.folder / 'coreml' / f'{recipe.name}.mlpackage')
     if verify and c.dynamic:
         verify_coreml_batch(dest, recipe.imgsz)
     return dest
@@ -578,12 +575,20 @@ def select(args: argparse.Namespace) -> list[Recipe]:
 
 def main(argv: list[str]) -> int:
     args = parse_args(argv)
+    bad = check_recipes(RECIPES)
+    if bad:
+        print('\n'.join(bad))
+        return 2
     if args.list:
         list_recipes()
         return 0
     if args.check_hosted:
         return check_hosted()
     recipes = select(args)
+    bad = check_recipes(tuple(recipes))  # an ad-hoc --model yolo26* --dynamic too
+    if bad:
+        print('\n'.join(bad))
+        return 2
     if not recipes:
         print('Nothing selected: pass --all, --family, --variant or --model (see --help).')
         return 2