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发布 PP-YOLO Tiny 320 FP16 0.1.1:weights

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ppyolo-tiny-320/0.1.1/README.en.md ADDED
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+ # PP-YOLO Tiny 320 (0.1.1)
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+
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+ This version reuses the immutable FP32 sources from 0.1.0 and adds the quality-gated FP16 variant. FP16 is 2,357,376 bytes with SHA-256 `331cef176e8af2eacd9bfc6d011ade2d29cd41f013af2db2c716566e035413cc`, 47.743% smaller than FP32. `Exp.0`, `Exp.2`, and `Exp.4` remain FP32; the input and output contract is unchanged.
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+
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+ Across three fixed 64-image runs on both WASM and WebGPU, the worst FP16 AP change was -0.174649 points and the minimum one-to-one detection retention was 99.5192%. W8A32 missed the AP gate at -0.537364 points, remains labs-only, and is absent from this manifest and the stable download directory.
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+
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+ Desktop WASM/WebGPU, main/Worker, pre-cancellation, recovery, repeated disposal, and cache clearing were verified. Evidence is limited to the fixed subset on Windows 11, Chromium 153, and ORT Web 1.27.0; it is not full COCO mAP and makes no mobile, NPU, or universal speed claim. SDK/npm remains 0.4.0.
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+
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+ PaddleDetection attribution, license, and the FP32 conversion record are inherited from 0.1.0. See `reports/evaluation/2026-09-16-tiny-precision/` and `reports/distribution/2026-09-16-tiny-precision/`.
ppyolo-tiny-320/0.1.1/README.md ADDED
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+ # PP-YOLO Tiny 320(0.1.1)
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+
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+ 本版本复用 0.1.0 的 FP32 固定双源权重,并新增通过质量门槛的 FP16。FP16 为 2,357,376 字节,SHA-256 `331cef176e8af2eacd9bfc6d011ade2d29cd41f013af2db2c716566e035413cc`,相对 FP32 缩小 47.743%;保留 `Exp.0`、`Exp.2`、`Exp.4` 为 FP32,输入输出契约不变。
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+
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+ 固定 64 图、WASM/WebGPU 各三轮结果中,FP16 最差 AP 变化为 -0.174649 个百分点,最低一对一检测保留率为 99.5192%,通过 AP 下降不超过 0.5 点且保留率不低于 95% 的门槛。W8A32 最差 AP 变化为 -0.537364 点,未通过,保留 labs 且不在本清单或稳定下载目录中。
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+
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+ 已验证桌面 WASM/WebGPU、main/Worker、预取消、恢复、重复释放和缓存清理。证据仅覆盖 Windows 11 / Chromium 153 / ORT Web 1.27.0 的固定子集,不是完整 COCO mAP,不声明手机、NPU 或普遍加速。SDK/npm 仍为 0.4.0。
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+
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+ 上游 PaddleDetection、许可、FP32 转换归因沿用 0.1.0。质量证据见 `reports/evaluation/2026-09-16-tiny-precision/`,分发证据见 `reports/distribution/2026-09-16-tiny-precision/`。
ppyolo-tiny-320/0.1.1/fp16-conversion.json ADDED
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+ {
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+ "key": "ppyolo-tiny-320",
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+ "precision": "fp16",
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+ "sourceModel": ".tmp/candidate-2d-20260915/ppyolo-tiny-320-fp32.onnx",
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+ "configuration": {
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+ "Exp.0",
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+ "Exp.4"
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+ ],
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+ "excludeNodes": [],
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+ "reason": "Tiny 三个尺度的 Exp 解码对坐标幅度敏感,保留为 FP32;节点名来自 Tiny 图。"
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+ },
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+ "candidate": {
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+ "sourceSha256": "1065a342456dfddf91d3220d2ec929640fa253d17562804cae5dbe7772c22653",
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+ "sourceBytes": 4511117,
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+ "candidateBytes": 2357376,
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+ "converter": "onnxruntime.transformers.float16.convert_float_to_float16",
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+ "versions": {
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+ "onnx": "1.16.2",
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+ "onnxruntime": "1.20.1",
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+ "numpy": "1.26.4"
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+ },
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+ "opBlockList": [
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+ "ArrayFeatureExtractor",
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+ "Binarizer",
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+ "CastMap",
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+ "CategoryMapper",
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+ "DictVectorizer",
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+ "FeatureVectorizer",
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+ "Imputer",
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+ "LabelEncoder",
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+ "LinearClassifier",
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+ "LinearRegressor",
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+ "Normalizer",
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+ "OneHotEncoder",
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+ "RandomUniformLike",
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+ "SVMClassifier",
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+ "SVMRegressor",
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+ "Scaler",
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+ "TreeEnsembleClassifier",
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+ "TreeEnsembleRegressor",
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+ "ZipMap",
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+ "NonMaxSuppression",
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+ "TopK",
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+ "RoiAlign",
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+ "Range",
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+ "CumSum",
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+ "Min",
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+ "Max",
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+ "Upsample"
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+ ],
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+ "nodeBlockList": [
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+ "Exp.0",
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+ "Exp.2",
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+ "Exp.4"
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+ ],
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+ "keepIoTypes": true,
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+ "fullOnnxCheck": true,
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+ "finiteStoredTensors": true,
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+ "storedTensorDtypes": {
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+ "INT64": 90,
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+ "FLOAT16": 392
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+ }
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+ },
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+ "validation": {
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+ "input": [
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+ 1,
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+ 3,
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+ 320,
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+ 320
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+ ],
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+ "inputDtype": "FLOAT",
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+ "outputDtypes": [
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+ "FLOAT",
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+ "INT32"
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+ ],
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+ "opset": 14,
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+ "nodeCount": 997,
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+ "parameterCount": 8
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+ }
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+ }
ppyolo-tiny-320/0.1.1/ppyolo-tiny-320-fp16.onnx ADDED
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