manifest v2: sky-u2net live (pinned rev 81481be3, sha256-verified)
Browse files- manifest.json +66 -0
manifest.json
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{
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"manifestVersion": 2,
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"models": [
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{
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"id": "sky-u2net",
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"task": "Sky selection",
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"displayName": "Sky (U²-Net)",
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"summary": "1-click sky mask.",
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"url": "https://huggingface.co/chili-raw/chiliraw-models/resolve/81481be3030734a12f2e84c7246ab13b5d9e6fea/sky-u2net-512.mlpackage.zip",
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"sha256": "5135f419ea5a3c0f1759e053ec425d9c3dc2a7587097e0460c1d04a8bfe024e4",
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"bytes": 81566529,
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"format": "mlpackage-zip",
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"minAppVersion": "0.7.0",
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"license": "MIT",
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"attribution": "Sky segmentation model — xiongzhu666/Sky-Segmentation-and-Post-processing (MIT). U²-Net architecture — Qin et al., Pattern Recognition 2020."
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},
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{
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"id": "sam2-tiny",
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"task": "Object selection",
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"displayName": "Click-to-mask (faster, smaller)",
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"summary": "Click any object to select it. SAM 2 Tiny — quickest, ~40 MB.",
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"sha256": "",
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"bytes": 0,
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"format": "mlpackage-zip",
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"minAppVersion": "0.7.0",
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"license": "Apache-2.0",
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"attribution": "SAM 2 — Meta AI (Apache-2.0); Core ML conversion — Apple."
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},
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{
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"id": "sam2-small",
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"task": "Object selection",
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"displayName": "Click-to-mask (higher quality)",
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"summary": "Click any object to select it. SAM 2 Small — better edges, ~160 MB.",
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"sha256": "",
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"bytes": 0,
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"format": "mlpackage-zip",
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"minAppVersion": "0.7.0",
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"license": "Apache-2.0",
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"attribution": "SAM 2 — Meta AI (Apache-2.0); Core ML conversion — Apple."
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},
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{
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"id": "face-parsing",
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"task": "People",
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"displayName": "Face skin & features",
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"summary": "Face-region masks for people: skin, later lips / eyes / brows / hair.",
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"sha256": "",
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"bytes": 0,
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"format": "mlpackage-zip",
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"minAppVersion": "0.7.0",
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"license": "MIT",
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"attribution": "face-parsing.PyTorch (BiSeNet, CelebAMask-HQ) — zllrunning (MIT)."
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},
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{
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"id": "depth-anything-v2-small",
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"task": "Depth selection",
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"displayName": "Depth mask",
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"summary": "Mask by distance — foreground / background.",
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"sha256": "",
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"bytes": 0,
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"format": "mlpackage-zip",
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"minAppVersion": "0.7.0",
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"license": "Apache-2.0",
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"attribution": "Depth Anything V2 Small — Yang et al. (Apache-2.0); Core ML conversion — Apple."
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}
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]
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}
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