File size: 4,544 Bytes
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"schema_version": 1,
"model": {
"id": "transnetv2",
"version": "1.0.0",
"display_name": "TransNetV2",
"task": "shot-boundary-detection",
"description": "Shot-boundary probabilities for fixed 100-frame windows"
},
"license": {
"spdx": "MIT",
"redistribution": "allowed",
"files": [
{
"path": "card/LICENSE",
"bytes": 1072,
"sha256": "a8d7a056688ccedebe89f18fd60f1a47128df94cb82669cd02459934919cbb6f"
}
],
"notes": [
"The selected TransNetV2 source and upstream weights are MIT licensed."
]
},
"provenance": {
"repository": "https://github.com/soCzech/TransNetV2",
"revision": "85cef72af9a916bdfd7cc94a670c9cdfbf12d1ed",
"weights": [],
"notes": [
"The upstream TensorFlow SavedModel was converted with the official convert_weights.py workflow.",
"The derived PyTorch checkpoint is 30509621 bytes with SHA-256 a03191f1d886181b2d51508475761e15fd5c865ebc44494db443058cc051c918."
]
},
"release": {
"state": "ready",
"repository": "openvalle/valle-models"
},
"contract": {
"adapter": "transnetv2-shot-detection",
"version": 1,
"inputs": [
{
"name": "frames",
"dtype": "u8",
"layout": "nthwc",
"shape": [
1,
100,
27,
48,
3
],
"range": [
0,
255
],
"description": "RGB frame window"
}
],
"outputs": [
{
"name": "single_frame_pred",
"dtype": "f32",
"layout": "nt",
"shape": [
1,
100
],
"range": [
0,
1
],
"description": "Single-frame transition probability"
},
{
"name": "all_frames_pred",
"dtype": "f32",
"layout": "nt",
"shape": [
1,
100
],
"range": [
0,
1
],
"description": "All-frame transition probability"
}
],
"preprocess": {
"color_space": "rgb",
"resize": [
48,
27
],
"window_frames": 100,
"step_frames": 50
},
"postprocess": {
"retain_frame_range": [
25,
75
],
"threshold": 0.5
}
},
"artifacts": [
{
"id": "onnx-fp32",
"format": "onnx",
"precision": "fp32",
"entrypoint": "transnetv2.onnx",
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"bytes": 31252665,
"sha256": "9fd29bbd84ea20fa72c9340f72ddd248c7ccb2b105289683b1061eed97df28f4"
}
],
"metadata": {
"opset": 17,
"window_frames": 100,
"step_frames": 50
}
}
],
"routes": [
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"artifact": "onnx-fp32",
"backend": "onnx-cpu",
"platforms": [
"macos"
],
"architectures": [
"aarch64"
],
"status": "verified",
"priority": 10,
"notes": "TensorFlow, PyTorch, ONNX and the Rust proof-of-concept runner passed locally on Apple M2 Pro."
},
{
"id": "onnx-cpu-macos-x86_64",
"artifact": "onnx-fp32",
"backend": "onnx-cpu",
"platforms": [
"macos"
],
"architectures": [
"x86_64"
],
"status": "unverified",
"priority": 10,
"notes": "The artifact is portable, but this host route has not been tested."
},
{
"id": "onnx-cpu-windows-x86_64",
"artifact": "onnx-fp32",
"backend": "onnx-cpu",
"platforms": [
"windows"
],
"architectures": [
"x86_64"
],
"status": "unverified",
"priority": 10,
"notes": "Promote only after the real-fixture Windows CI gate passes."
},
{
"id": "onnx-cpu-linux-x86_64",
"artifact": "onnx-fp32",
"backend": "onnx-cpu",
"platforms": [
"linux"
],
"architectures": [
"x86_64"
],
"status": "unverified",
"priority": 10,
"notes": "Promote only after the real-fixture Linux CI gate passes."
},
{
"id": "onnx-cpu-linux-aarch64",
"artifact": "onnx-fp32",
"backend": "onnx-cpu",
"platforms": [
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],
"architectures": [
"aarch64"
],
"status": "unverified",
"priority": 10,
"notes": "The graph is architecture-neutral; ONNX Runtime packaging remains unverified."
}
]
}
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