发布 TinyPose 0.1.0：weights

README.md

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+---
+license: apache-2.0
+pipeline_tag: keypoint-detection
+tags:
+- onnx
+- webgpu
+- wasm
+---
+
+# PP-TinyPose Web SDK 模型
+
+[中文模型卡](tinypose-256x192/0.1.0/README.md) · [English model card](tinypose-256x192/0.1.0/README.en.md)
+
+官方增强版 256×192 FP32，版本 0.1.0，5685847 字节。
+仅提供单人图或外部人体框的 17 点姿态估计。桌面 CPU/GPU 已有验收；不声明手机或 NPU 兼容。
+The enhanced 256×192 FP32 model estimates 17 keypoints for one person or a caller-provided crop. Desktop CPU/GPU evidence is available; mobile and NPU are unverified.
+
+上游仓库 Apache-2.0；ZIP 没有独立权重许可。完整来源、限制、许可及摘要见模型卡。
+Upstream uses Apache-2.0; the ZIP has no separate weight license. See the model card for provenance, limitations and hashes.

tinypose-256x192/0.1.0/LICENSE

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tinypose-256x192/0.1.0/NOTICE

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+PP-TinyPose 浏览器 SDK
+
+模型与参考算法来源：PaddlePaddle/PaddleDetection。
+Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+Apache License, Version 2.0，详见 LICENSE。
+固定源码：b25522a0f4bde8c80603f3ba5e3472059972e3b5。
+
+裁剪、TopDownEvalAffine 与 DARK 的 TypeScript 实现基于以下文件改编：
+deploy/python/keypoint_preprocess.py
+deploy/python/keypoint_postprocess.py
+deploy/python/keypoint_infer.py
+原预处理引用 OpenMMLab/mmpose 的 post_transforms.py；DARK 算法引用
+ilovepose/DarkPose 的 lib/core/inference.py。本仓库保留上游说明，未复制训练代码。
+
+权重来自官方 tinypose_enhance/tinypose_256x192.zip 模型表。
+ZIP 不包含独立权重许可证，发布归属与仓库 Apache-2.0 许可一并记录；
+COCO、AI Challenger 和上游业务训练数据的说明不构成额外的权重授权书。
+
+Demo 样图来自上述固定源码 demo/hrnet_demo.jpg，保留为上游姿态示例。
+运行依赖 ONNX Runtime Web（Microsoft，MIT）；其发行包保留自身许可。
+共享 UI token 来源：chenmohan123.github.io/standards/v1/ui-tokens.json。
+Demo 图标使用 Lucide（ISC）；仅用于 Demo，不是 SDK 运行依赖。

tinypose-256x192/0.1.0/README.en.md

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+# PP-TinyPose 256×192 FP32
+
+[中文](README.md)
+
+This mirror is maintained by chenmohan, not the official PaddleDetection account. It contains the official enhanced TinyPose model.
+Version 0.1.0; 5685847 bytes; SHA-256 `7614d17acbe957200a8505e11a4fb8445103f9e44a7087115d8a1ea85f88b1b9`; ONNX opset 17.
+Pinned upstream commit `b25522a0f4bde8c80603f3ba5e3472059972e3b5`. Official deployment archive: https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_256x192.zip.
+
+The upstream repository uses Apache-2.0 (see LICENSE and NOTICE). The deployment ZIP contains no separate weight license. This mirror records that fact and the official publication provenance without inferring additional permission.
+Converted with Paddle2ONNX 1.3.1, with no graph or weight changes. See conversion.json for archive/internal hashes and tool versions.
+
+Input: a single person, RGB float32 NCHW [1,3,256,192], divided by 255 and normalized with mean [0.485,0.456,0.406] and std [0.229,0.224,0.225].
+Outputs: [1,17,64,48] heatmaps and auxiliary argmax. The SDK uses upstream 30% expand_crop, TopDownEvalAffine and DARK to produce 17 COCO keypoints in original-image coordinates.
+Scores are uncalibrated heatmap responses, may be below zero or above one, and are not visibility probabilities.
+
+Dated evidence (2026-09-16/17): Windows 11, Chromium 153.0.8010.12, ORT Web 1.27.0, CPU/GPU × main/worker numeric and lifecycle checks.
+The 32 fixed crops test numerical consistency, not full-dataset AP. The upstream GT-box AP 68.3 is quoted, not remeasured.
+No automatic multi-person detection, video tracking, FP16, or NPU. Mobile devices remain unverified.
+
+SDK, reproduction scripts and evidence: https://github.com/chenmohan123/web-sdk-PP-TinyPose
+ModelScope and Hugging Face use immutable revisions. ModelScope is the default; explicit source failure never silently switches sources. npm contains no ONNX weights.

tinypose-256x192/0.1.0/README.md

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+# PP-TinyPose 256×192 FP32
+
+[English](README.en.md)
+
+本镜像由 chenmohan 维护，来源于 PaddleDetection 官方增强版 TinyPose；并非官方账号。
+版本 0.1.0。模型 5685847 字节，SHA-256 `7614d17acbe957200a8505e11a4fb8445103f9e44a7087115d8a1ea85f88b1b9`，opset 17。
+
+上游固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`；官方部署 ZIP：https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_256x192.zip。
+源码为 Apache-2.0，完整原文见 LICENSE，归因见 NOTICE。官方 ZIP 没有独立权重许可证；本镜像如实记录官方模型发布归属及仓库许可，不推断额外授权。
+Paddle2ONNX 1.3.1 转换，不修改图或权重，原 ZIP/内部文件摘要及工具版本见 conversion.json。
+
+输入单个人体 RGB float32 NCHW [1,3,256,192]，/255、mean [0.485,0.456,0.406]、std [0.229,0.224,0.225]。
+模型输出 [1,17,64,48] 热力图及 argmax；SDK 按官方 expand_crop 扩30%、TopDownEvalAffine、DARK还原原图 COCO 17 点。
+score 为未校准热力图响应，可能小于0或大于1，不是可见性概率。
+
+2026-09-16/17 已有 Windows 11、Chromium 153.0.8010.12、ORT Web 1.27.0 的 CPU/GPU × main/worker 桌面数值与生命周期证据。
+32 个固定裁剪用于数值一致性，非全量 AP。官方 GT 框 AP 68.3 为上游引用，未重测。
+不包含自动多人检测、视频跟踪、FP16、NPU；移动端未验收。
+
+SDK、重建脚本与证据：https://github.com/chenmohan123/web-sdk-PP-TinyPose
+模型按固定提交从 ModelScope/Hugging Face 分发，默认 ModelScope；显式来源失败不静默换源。npm 不包含 ONNX。

tinypose-256x192/0.1.0/conversion.json

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+    "os": "Windows-10-10.0.26200-SP0",
+    "paddle": "2.6.2",
+    "paddle2onnx": "1.3.1",
+    "onnx": "1.16.2",
+    "onnxruntime": "1.20.1",
+    "numpy": "1.26.4",
+    "opencv": "4.11.0"
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+    },
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+      "sha256": "a8d81e0e985ee15566311970aee57aa28e5566f4ba758b2bf73716ef94e45039"
+    }
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+  "version": "0.1.0",
+  "graphModification": "无；Paddle2ONNX 1.3.1 opset17 原样转换",
+  "reproduction": "tools/feasibility/convert.py",
+  "reference": "reports/2026-09-16-feasibility"
+}

tinypose-256x192/0.1.0/tinypose-256x192-fp32.onnx

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