发布 TinyPose 0.2.0 weights

README.md

@@ -1,19 +1,20 @@
----
-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.
+---
+license: apache-2.0
+pipeline_tag: keypoint-detection
+tags:
+- onnx
+- webgpu
+- wasm
+---
+
+# PP-TinyPose Web SDK 模型
+
+稳定清单包含三个通过项：
+
+- [256×192 FP32 0.1.0](tinypose-256x192/0.1.0/README.md)（默认）
+- [128×96 FP32 0.2.0](tinypose-128x96/0.2.0/fp32/README.md)
+- [128×96 FP16 权重（FP32 计算）0.2.0](tinypose-128x96/0.2.0/w16a32/README.md)
+
+English cards are linked from each entry. All three passed the dated desktop WASM/WebGPU × main/worker checks. The 64-image GT-box subset reports mean OKS rather than full COCO AP. Mobile and NPU remain unverified.
+
+上游仓库采用 Apache-2.0；官方 ZIP 没有独立权重许可。W16A32 仅压缩权重存储，不声明 FP16 计算或加速。完整来源、修改、限制、许可与摘要见各模型卡。

tinypose-128x96/0.2.0/fp32/LICENSE

@@ -0,0 +1,201 @@
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tinypose-128x96/0.2.0/fp32/NOTICE

@@ -0,0 +1,27 @@
+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 与
+tinypose_enhance/tinypose_128x96.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。
+
+128×96 W16A32 版本由本仓库修改：270 个直接供给 Conv 的常量权重以
+float16 保存，并在算子前显式 Cast 回 float32；激活、算子和输入输出保持
+float32。该版本是存储压缩，不声明 FP16 计算。
+
+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-128x96/0.2.0/fp32/README.en.md

@@ -0,0 +1,17 @@
+# PP-TinyPose 128×96 FP32
+
+[中文](README.md)
+
+This mirror is maintained by chenmohan, not the official PaddleDetection account. It contains the official enhanced TinyPose model.
+Version 0.2.0; 5685846 bytes; SHA-256 `a0e2edd5272f48243a9cbd571151eda966f1bfa865a954f39e1e344aa5a14cf8`; ONNX opset 17. The official report states about 1.32M parameters; distribution metadata leaves the exact count unset because it has not been independently established.
+
+Pinned upstream commit `b25522a0f4bde8c80603f3ba5e3472059972e3b5`. Official deployment archive: https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_128x96.zip .
+The upstream repository uses Apache-2.0 (see LICENSE and NOTICE). The ZIP contains no separate weight license. This mirror records the official provenance and repository license without inferring additional permission.
+The converted graph is unchanged. See conversion.json for pinned ZIP, internal file, ONNX and tool hashes.
+
+Input is one person as RGB float32 NCHW `[1,3,128,96]`; outputs are `[1,17,32,24]` heatmaps and argmax. The SDK applies upstream crop expansion, TopDownEvalAffine and DARK to return 17 COCO keypoints in original-image coordinates. Scores are uncalibrated heatmap responses, not visibility probabilities.
+
+On the fixed 64-image, 110-person GT-box subset dated 2026-09-17, mean OKS was `0.727050`; this is not full COCO AP. WASM/WebGPU × main/worker passed on desktop Chromium 153, Windows 11 and ORT Web 1.27.0. W16A32 reduced model bytes by 44.584% against same-size FP32; it does not claim faster execution or FP16 compute. Timings are observations from the fixed device only.
+
+Automatic multi-person detection, video tracking and NPU are outside scope; mobile is unverified. SDK, reproduction and evidence: https://github.com/chenmohan123/web-sdk-PP-TinyPose
+ModelScope and Hugging Face use immutable revisions. ModelScope is the default; an explicit source failure never switches sources. npm contains no ONNX weights.

tinypose-128x96/0.2.0/fp32/README.md

@@ -0,0 +1,17 @@
+# PP-TinyPose 128×96 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 0.2.0，模型 5685846 字节，SHA-256 `a0e2edd5272f48243a9cbd571151eda966f1bfa865a954f39e1e344aa5a14cf8`，ONNX opset 17；官方报告约 1.32M 参数，当前分发清单不填未经独立证明的精确参数量。
+
+上游固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`；官方部署 ZIP：https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_128x96.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。
+转换图未修改。 固定 ZIP、内部文件、ONNX 和工具摘要见 conversion.json。
+
+输入单个人体 RGB float32 NCHW `[1,3,128,96]`；输出 `[1,17,32,24]` 热力图与 argmax。SDK 使用上游扩框、TopDownEvalAffine 和 DARK 还原原图 COCO 17 点。score 是未校准热力图响应，不是可见性概率。
+
+2026-09-17 固定 64 图、110 人 GT 框子集平均 OKS 为 `0.727050`，不是 COCO 全量 AP。桌面 Chromium 153、Windows 11、ORT Web 1.27.0 的 WASM/WebGPU × main/worker 已通过。W16A32 相对同规格 FP32 体积减少 44.584%，不宣称加速或 FP16 计算。性能仅是固定设备观测。
+
+不包含自动多人检测、视频跟踪或 NPU；手机未验收。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-128x96/0.2.0/fp32/conversion.json

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+  "upstreamRevision": "b25522a0f4bde8c80603f3ba5e3472059972e3b5",
+  "archive": {
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+  "tools": {
+    "python": "3.11.15 (main, Jul 18 2026, 17:06:27) [MSC v.1944 64 bit (AMD64)]",
+    "os": "Windows-10-10.0.26200-SP0",
+    "paddle": "2.6.2",
+    "paddle2onnx": "1.3.1",
+    "onnx": "1.16.2",
+    "onnxruntime": "1.20.1",
+    "onnxconverterCommon": "1.16.0",
+    "numpy": "1.26.4",
+    "opencv": "4.11.0"
+  },
+  "reproduction": "tools/variants/prepare.py",
+  "evidence": "reports/2026-09-17-variants",
+  "graphModification": "无；Paddle2ONNX 1.3.1 opset 17 原样转换"
+}

tinypose-128x96/0.2.0/fp32/tinypose-128x96-fp32.onnx

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tinypose-128x96/0.2.0/w16a32/LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
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tinypose-128x96/0.2.0/w16a32/NOTICE

@@ -0,0 +1,27 @@
+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 与
+tinypose_enhance/tinypose_128x96.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。
+
+128×96 W16A32 版本由本仓库修改：270 个直接供给 Conv 的常量权重以
+float16 保存，并在算子前显式 Cast 回 float32；激活、算子和输入输出保持
+float32。该版本是存储压缩，不声明 FP16 计算。
+
+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-128x96/0.2.0/w16a32/README.en.md

@@ -0,0 +1,17 @@
+# PP-TinyPose 128×96 FP16 weights (FP32 compute)
+
+[中文](README.md)
+
+This mirror is maintained by chenmohan, not the official PaddleDetection account. It contains the official enhanced TinyPose model.
+Version 0.2.0; 3150847 bytes; SHA-256 `8671c7b424d85d4f017b6410602de6095b1fbb9fffca38ad5489039dd2a0cfea`; ONNX opset 17. The official report states about 1.32M parameters; distribution metadata leaves the exact count unset because it has not been independently established.
+
+Pinned upstream commit `b25522a0f4bde8c80603f3ba5e3472059972e3b5`. Official deployment archive: https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_128x96.zip .
+The upstream repository uses Apache-2.0 (see LICENSE and NOTICE). The ZIP contains no separate weight license. This mirror records the official provenance and repository license without inferring additional permission.
+270 constant weights consumed by Conv are stored as FP16 and explicitly cast back to FP32 before Conv; activations, operators, inputs and outputs remain FP32. See conversion.json for pinned ZIP, internal file, ONNX and tool hashes.
+
+Input is one person as RGB float32 NCHW `[1,3,128,96]`; outputs are `[1,17,32,24]` heatmaps and argmax. The SDK applies upstream crop expansion, TopDownEvalAffine and DARK to return 17 COCO keypoints in original-image coordinates. Scores are uncalibrated heatmap responses, not visibility probabilities.
+
+On the fixed 64-image, 110-person GT-box subset dated 2026-09-17, mean OKS was `0.727106`; this is not full COCO AP. WASM/WebGPU × main/worker passed on desktop Chromium 153, Windows 11 and ORT Web 1.27.0. W16A32 reduced model bytes by 44.584% against same-size FP32; it does not claim faster execution or FP16 compute. Timings are observations from the fixed device only.
+
+Automatic multi-person detection, video tracking and NPU are outside scope; mobile is unverified. SDK, reproduction and evidence: https://github.com/chenmohan123/web-sdk-PP-TinyPose
+ModelScope and Hugging Face use immutable revisions. ModelScope is the default; an explicit source failure never switches sources. npm contains no ONNX weights.

tinypose-128x96/0.2.0/w16a32/README.md

@@ -0,0 +1,17 @@
+# PP-TinyPose 128×96 FP16 权重（FP32 计算）
+
+[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 0.2.0，模型 3150847 字节，SHA-256 `8671c7b424d85d4f017b6410602de6095b1fbb9fffca38ad5489039dd2a0cfea`，ONNX opset 17；官方报告约 1.32M 参数，当前分发清单不填未经独立证明的精确参数量。
+
+上游固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`；官方部署 ZIP：https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_128x96.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。
+270 个直接供给 Conv 的常量权重以 FP16 保存，并在 Conv 前显式 Cast 回 FP32；激活、算子和输入输出均为 FP32。 固定 ZIP、内部文件、ONNX 和工具摘要见 conversion.json。
+
+输入单个人体 RGB float32 NCHW `[1,3,128,96]`；输出 `[1,17,32,24]` 热力图与 argmax。SDK 使用上游扩框、TopDownEvalAffine 和 DARK 还原原图 COCO 17 点。score 是未校准热力图响应，不是可见性概率。
+
+2026-09-17 固定 64 图、110 人 GT 框子集平均 OKS 为 `0.727106`，不是 COCO 全量 AP。桌面 Chromium 153、Windows 11、ORT Web 1.27.0 的 WASM/WebGPU × main/worker 已通过。W16A32 相对同规格 FP32 体积减少 44.584%，不宣称加速或 FP16 计算。性能仅是固定设备观测。
+
+不包含自动多人检测、视频跟踪或 NPU；手机未验收。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-128x96/0.2.0/w16a32/conversion.json

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+{
+  "version": "0.2.0",
+  "upstreamRevision": "b25522a0f4bde8c80603f3ba5e3472059972e3b5",
+  "archive": {
+    "url": "https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_128x96.zip",
+    "path": "F:\\git\\00_chenmohan\\github\\web-sdk-PP-TinyPose\\.worktrees\\tinypose-variants\\.tmp\\variants\\downloads\\tinypose_128x96.zip",
+    "bytes": 5397578,
+    "sha256": "b737aa851a1ce9403950280be5df4bdd9c0e0287dd7ecdaa16f534d9c940015d"
+  },
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+      "sha256": "b3f7e023bfd403144455d75bfd6028cec6c5283d4ad8398cf24135948f8b7720"
+    },
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+      "sha256": "8ae7262a63a27d7011bd9ac7993bd261ba1c5dbdfae1b2753dca9711b0b4b665"
+    },
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+      "sha256": "4a416c423b2ddb8ca0e76b8edd965051cf35981a3ac331f6a1952217e97056bb"
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+  "tools": {
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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",
+    "onnxconverterCommon": "1.16.0",
+    "numpy": "1.26.4",
+    "opencv": "4.11.0"
+  },
+  "reproduction": "tools/variants/prepare.py",
+  "evidence": "reports/2026-09-17-variants",
+  "graphModification": {
+    "strategy": "Conv 常量权重 float16 存储，算子前 Cast 恢复 float32",
+    "storagePrecision": "float16",
+    "activationPrecision": "float32",
+    "operatorPrecision": "float32",
+    "inputType": "float32",
+    "outputType": "float32",
+    "label": "W16A32，不宣称 FP16 计算",
+    "conversion": {
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+      "initializerWeights": 0,
+      "castNodes": 270,
+      "elements": 1281729
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+        "BatchNormalization": 268,
+        "Cast": 270,
+        "Concat": 52,
+        "Constant": 1511,
+        "Conv": 269,
+        "Relu": 144,
+        "Reshape": 99,
+        "Resize": 29,
+        "Shape": 3,
+        "Slice": 3,
+        "Split": 49,
+        "Transpose": 49
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+      "constantTensorTypes": {
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+        "INT64": 111
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+    "probeOutputShape": [
+      1,
+      17,
+      32,
+      24
+    ],
+    "probeOutputType": "float32"
+  }
+}

tinypose-128x96/0.2.0/w16a32/tinypose-128x96-w16a32.onnx

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