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发布 PicoDet 全系列已验收精度变体 weights

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picodet-l-416/1.0.1/README.md ADDED
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+ # picodet-l-416 精度变体 1.0.1
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+
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+ 上游为 PaddleDetection 固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`,权重及本目录 `LICENSE` 使用 Apache-2.0。本项目维护浏览器 ONNX 转换镜像。
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+
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+ 输入:NCHW `1×3×416×416` float32,拉伸、bicubic 插值、1/255 缩放及 ImageNet mean/std 归一化;COCO 80 类轴对齐目标检测。
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+
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+ ## 本版本精度与验证
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+
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+ 默认 FP32、ModelScope,可显式选择 Hugging Face。FP32 沿用 1.0.0 固定权重,新版本仅追加下表通过门槛的精度。
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+
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+ | 精度 | 字节数 | SHA-256 |
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+ | --- | ---: | --- |
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+ | FP32 | 23261512 | `46612bce478e30008f0dab63b7bd9bb2c944d7720b93726a03484567f3de91b4` |
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+ | FP16 | 14836820 | `8118d856d515e36c7ab4100c2dbdede35e77ab3b6e07bd906b323ce00330170f` |
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+ | W8A32 | 6135363 | `ecd31887f2c032140d592b42240c19848f200c0b5eeb91a6d9759884d666fea4` |
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+
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+ 2026-09-15,Windows 11 / Chromium 153 / ORT Web 1.27.0:固定 64 图、716 标注子集,WASM 单线程和物理 NVIDIA WebGPU,各三轮。相对同规格、同后端、同轮 FP32,AP 下降≤0.5个百分点、score≥0.5 且同类 IoU≥0.5 的一对一保留率≥95%;IoU≥0.99仅作坐标诊断。非全量COCO指标,不新增手机或其他浏览器兼容声明。
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+
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+ FP16 保留敏感算子 FP32;W8A32 为权重 INT8、激活与卷积 FP32,SDK precision 参数为 `int8`。文件体积减少是独立收益,不代表普遍加速或内存同比减少。归因与许可沿用上游 Apache-2.0。
20
+
21
+ 转换与逐变体结果:https://github.com/chenmohan123/web-sdk-PP-Detection/tree/main/reports/evaluation/2026-09-15-picodet-series-precision
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picodet-l-640/1.0.1/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # picodet-l-640 精度变体 1.0.1
2
+
3
+ 上游为 PaddleDetection 固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`,权重及本目录 `LICENSE` 使用 Apache-2.0。本项目维护浏览器 ONNX 转换镜像。
4
+
5
+ 输入:NCHW `1×3×640×640` float32,拉伸、bicubic 插值、1/255 缩放及 ImageNet mean/std 归一化;COCO 80 类轴对齐目标检测。
6
+
7
+ ## 本版本精度与验证
8
+
9
+ 默认 FP32、ModelScope,可显式选择 Hugging Face。FP32 沿用 1.0.0 固定权重,新版本仅追加下表通过门槛的精度。
10
+
11
+ | 精度 | 字节数 | SHA-256 |
12
+ | --- | ---: | --- |
13
+ | FP32 | 23320381 | `bbc0a02f543e49dfcbd50efcd700c99c8183c94e147bb83b7a921a6ec9aaf1df` |
14
+ | FP16 | 14874912 | `f8a3ff8ce83b5c72e070d62319663b221f2b750bccf35384a96ee40537e0e73b` |
15
+ | W8A32 | 6194232 | `e3549e3bb180c10ac66644954b1390cb3a23bda6f862fc94cec1593eea789ef8` |
16
+
17
+ 2026-09-15,Windows 11 / Chromium 153 / ORT Web 1.27.0:固定 64 图、716 标注子集,WASM 单线程和物理 NVIDIA WebGPU,各三轮。相对同规格、同后端、同轮 FP32,AP 下降≤0.5个百分点、score≥0.5 且同类 IoU≥0.5 的一对一保留率≥95%;IoU≥0.99仅作坐标诊断。非全量COCO指标,不新增手机或其他浏览器兼容声明。
18
+
19
+ FP16 保留敏感算子 FP32;W8A32 为权重 INT8、激活与卷积 FP32,SDK precision 参数为 `int8`。文件体积减少是独立收益,不代表普遍加速或内存同比减少。归因与许可沿用上游 Apache-2.0。
20
+
21
+ 转换与逐变体结果:https://github.com/chenmohan123/web-sdk-PP-Detection/tree/main/reports/evaluation/2026-09-15-picodet-series-precision
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+ size 14874912
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+ defend, and hold each Contributor harmless for any liability
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+ incurred by, or claims asserted against, such Contributor by reason
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+ of your accepting any such warranty or additional liability.
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+ END OF TERMS AND CONDITIONS
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+ APPENDIX: How to apply the Apache License to your work.
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+ To apply the Apache License to your work, attach the following
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+ file or class name and description of purpose be included on the
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+ Copyright 2026 chenmohan123
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+ Licensed under the Apache License, Version 2.0 (the "License");
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+ you may not use this file except in compliance with the License.
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+ Unless required by applicable law or agreed to in writing, software
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+
picodet-m-320/1.0.1/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # picodet-m-320 精度变体 1.0.1
2
+
3
+ 上游为 PaddleDetection 固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`,权重及本目录 `LICENSE` 使用 Apache-2.0。本项目维护浏览器 ONNX 转换镜像。
4
+
5
+ 输入:NCHW `1×3×320×320` float32,拉伸、bicubic 插值、1/255 缩放及 ImageNet mean/std 归一化;COCO 80 类轴对齐目标检测。
6
+
7
+ ## 本版本精度与验证
8
+
9
+ 默认 FP32、ModelScope,可显式选择 Hugging Face。FP32 沿用 1.0.0 固定权重,新版本仅追加下表通过门槛的精度。
10
+
11
+ | 精度 | 字节数 | SHA-256 |
12
+ | --- | ---: | --- |
13
+ | FP32 | 13905160 | `2914a3bc0475e6596baac9495eea798da99aadc8db48afd995c53906f8299474` |
14
+ | FP16 | 8869567 | `43c56ded9b1e2dc0f90b0d1d2b2240e12f6cc315ff5ee77084182138e4ba4e14` |
15
+ | W8A32 | 3736832 | `a4eb8623655b3b6255c0a1e91eb2b98f39e2b8b3468b0b4cd4b8c1c8311dc1cd` |
16
+
17
+ 2026-09-15,Windows 11 / Chromium 153 / ORT Web 1.27.0:固定 64 图、716 标注子集,WASM 单线程和物理 NVIDIA WebGPU,各三轮。相对同规格、同后端、同轮 FP32,AP 下降≤0.5个百分点、score≥0.5 且同类 IoU≥0.5 的一对一保留率≥95%;IoU≥0.99仅作坐标诊断。非全量COCO指标,不新增手机或其他浏览器兼容声明。
18
+
19
+ FP16 保留敏感算子 FP32;W8A32 为权重 INT8、激活与卷积 FP32,SDK precision 参数为 `int8`。文件体积减少是独立收益,不代表普遍加速或内存同比减少。归因与许可沿用上游 Apache-2.0。
20
+
21
+ 转换与逐变体结果:https://github.com/chenmohan123/web-sdk-PP-Detection/tree/main/reports/evaluation/2026-09-15-picodet-series-precision
picodet-m-320/1.0.1/picodet-m-320-fp16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:43c56ded9b1e2dc0f90b0d1d2b2240e12f6cc315ff5ee77084182138e4ba4e14
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+ size 8869567
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+ size 3736832
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+
picodet-m-416/1.0.1/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # picodet-m-416 精度变体 1.0.1
2
+
3
+ 上游为 PaddleDetection 固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`,权重及本目录 `LICENSE` 使用 Apache-2.0。本项目维护浏览器 ONNX 转换镜像。
4
+
5
+ 输入:NCHW `1×3×416×416` float32,拉伸、bicubic 插值、1/255 缩放及 ImageNet mean/std 归一化;COCO 80 类轴对齐目标检测。
6
+
7
+ ## 本版本精度与验证
8
+
9
+ 默认 FP32、ModelScope,可显式选择 Hugging Face。FP32 沿用 1.0.0 固定权重,新版本仅追加下表通过门槛的精度。
10
+
11
+ | 精度 | 字节数 | SHA-256 |
12
+ | --- | ---: | --- |
13
+ | FP32 | 13922843 | `a1dfa189118d72e95798c711badf967d03ea00d848f04bb8476fd5eae31a4f5f` |
14
+ | FP16 | 8885644 | `44cccdccfd07c7f9a8d3f9120df04997a48fe2f0cc3edcb1f341855017f700ad` |
15
+ | W8A32 | 3754515 | `c4c1fe2407c20cd85f63199f2199c9c35f379bb6ba33eba29bb02f39f18db1cc` |
16
+
17
+ 2026-09-15,Windows 11 / Chromium 153 / ORT Web 1.27.0:固定 64 图、716 标注子集,WASM 单线程和物理 NVIDIA WebGPU,各三轮。相对同规格、同后端、同轮 FP32,AP 下降≤0.5个百分点、score≥0.5 且同类 IoU≥0.5 的一对一保留率≥95%;IoU≥0.99仅作坐标诊断。非全量COCO指标,不新增手机或其他浏览器兼容声明。
18
+
19
+ FP16 保留敏感算子 FP32;W8A32 为权重 INT8、激活与卷积 FP32,SDK precision 参数为 `int8`。文件体积减少是独立收益,不代表普遍加速或内存同比减少。归因与许可沿用上游 Apache-2.0。
20
+
21
+ 转换与逐变体结果:https://github.com/chenmohan123/web-sdk-PP-Detection/tree/main/reports/evaluation/2026-09-15-picodet-series-precision
picodet-m-416/1.0.1/picodet-m-416-fp16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:44cccdccfd07c7f9a8d3f9120df04997a48fe2f0cc3edcb1f341855017f700ad
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+ size 8885644
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+ oid sha256:c4c1fe2407c20cd85f63199f2199c9c35f379bb6ba33eba29bb02f39f18db1cc
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+ size 3754515
picodet-s-320/1.0.1/LICENSE ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Apache License
2
+ Version 2.0, January 2004
3
+ http://www.apache.org/licenses/
4
+
5
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
6
+
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+ 1. Definitions.
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+
9
+ "License" shall mean the terms and conditions for use, reproduction,
10
+ and distribution as defined by Sections 1 through 9 of this document.
11
+
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+ "Licensor" shall mean the copyright owner or entity authorized by
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+ the copyright owner that is granting the License.
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+ "Legal Entity" shall mean the union of the acting entity and all
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+ "control" means (i) the power, direct or indirect, to cause the
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+ direction or management of such entity, whether by contract or
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+ "Source" form shall mean the preferred form for making modifications,
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+ including but not limited to software source code, documentation
28
+ source, and configuration files.
29
+
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+ "Object" form shall mean any form resulting from mechanical
31
+ transformation or translation of a Source form, including but
32
+ not limited to compiled object code, generated documentation,
33
+ and conversions to other media types.
34
+
35
+ "Work" shall mean the work of authorship, whether in Source or
36
+ Object form, made available under the License, as indicated by a
37
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38
+ (an example is provided in the Appendix below).
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+
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+ "Derivative Works" shall mean any work, whether in Source or Object
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+ editorial revisions, annotations, elaborations, or other modifications
43
+ represent, as a whole, an original work of authorship. For the purposes
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+ of this License, Derivative Works shall not include works that remain
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+ "Contribution" shall mean any work of authorship, including
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+ Licensor for the purpose of discussing and improving the Work, but
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+ excluding communication that is conspicuously marked or otherwise
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+ "Contributor" shall mean Licensor and any individual or Legal Entity
63
+ on behalf of whom a Contribution has been received by Licensor and
64
+ subsequently incorporated within the Work.
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+
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+ 2. Grant of Copyright License. Subject to the terms and conditions of
67
+ this License, each Contributor hereby grants to You a perpetual,
68
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
69
+ copyright license to reproduce, prepare Derivative Works of,
70
+ publicly display, publicly perform, sublicense, and distribute the
71
+ Work and such Derivative Works in Source or Object form.
72
+
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+ 3. Grant of Patent License. Subject to the terms and conditions of
74
+ this License, each Contributor hereby grants to You a perpetual,
75
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
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+ (except as stated in this section) patent license to make, have made,
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+ use, offer to sell, sell, import, and otherwise transfer the Work,
78
+ where such license applies only to those patent claims licensable
79
+ by such Contributor that are necessarily infringed by their
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+ Contribution(s) alone or by combination of their Contribution(s)
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+ with the Work to which such Contribution(s) was submitted. If You
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+ institute patent litigation against any entity (including a
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+ cross-claim or counterclaim in a lawsuit) alleging that the Work
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+ or a Contribution incorporated within the Work constitutes direct
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+ or contributory patent infringement, then any patent licenses
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+ granted to You under this License for that Work shall terminate
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+ as of the date such litigation is filed.
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+
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+ 4. Redistribution. You may reproduce and distribute copies of the
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+ Work or Derivative Works thereof in any medium, with or without
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+ modifications, and in Source or Object form, provided that You
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+ meet the following conditions:
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+
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+ (a) You must give any other recipients of the Work or
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+ Derivative Works a copy of this License; and
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+ (b) You must cause any modified files to carry prominent notices
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+ 7. Disclaimer of Warranty. Unless required by applicable law or
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+ agreed to in writing, Licensor provides the Work (and each
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+ Contributor provides its Contributions) on an "AS IS" BASIS,
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+ Licensed under the Apache License, Version 2.0 (the "License");
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+ you may not use this file except in compliance with the License.
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+
picodet-s-320/1.0.1/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # picodet-s-320 精度变体 1.0.1
2
+
3
+ 上游为 PaddleDetection 固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`,权重及本目录 `LICENSE` 使用 Apache-2.0。本项目维护浏览器 ONNX 转换镜像。
4
+
5
+ 输入:NCHW `1×3×320×320` float32,拉伸、bicubic 插值、1/255 缩放及 ImageNet mean/std 归一化;COCO 80 类轴对齐目标检测。
6
+
7
+ ## 本版本精度与验证
8
+
9
+ 默认 FP32、ModelScope,可显式选择 Hugging Face。FP32 沿用 1.0.0 固定权重,新版本仅追加下表通过门槛的精度。
10
+
11
+ | 精度 | 字节数 | SHA-256 |
12
+ | --- | ---: | --- |
13
+ | FP32 | 4807906 | `84cd653b3615f63f6e8d478d8c590578a6c9b0608d597948799e599e5c3ad1ab` |
14
+ | FP16 | 3082899 | `b54a67ac5acb73023c74162732d1ff6bbe0d367963d562659a363fa602c26c46` |
15
+ | W8A32 | 1380421 | `1fba3b2bef155c51bc971d1b9628923ec3668b40542b1677cb8b0cf15889c154` |
16
+
17
+ 2026-09-15,Windows 11 / Chromium 153 / ORT Web 1.27.0:固定 64 图、716 标注子集,WASM 单线程和物理 NVIDIA WebGPU,各三轮。相对同规格、同后端、同轮 FP32,AP 下降≤0.5个百分点、score≥0.5 且同类 IoU≥0.5 的一对一保留率≥95%;IoU≥0.99仅作坐标诊断。非全量COCO指标,不新增手机或其他浏览器兼容声明。
18
+
19
+ FP16 保留敏感算子 FP32;W8A32 为权重 INT8、激活与卷积 FP32,SDK precision 参数为 `int8`。文件体积减少是独立收益,不代表普遍加速或内存同比减少。归因与许可沿用上游 Apache-2.0。
20
+
21
+ 转换与逐变体结果:https://github.com/chenmohan123/web-sdk-PP-Detection/tree/main/reports/evaluation/2026-09-15-picodet-series-precision
picodet-s-320/1.0.1/picodet-s-320-fp16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b54a67ac5acb73023c74162732d1ff6bbe0d367963d562659a363fa602c26c46
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+ size 3082899
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picodet-s-416/1.0.1/LICENSE ADDED
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+
picodet-s-416/1.0.1/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # picodet-s-416 精度变体 1.0.1
2
+
3
+ 上游为 PaddleDetection 固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`,权重及本目录 `LICENSE` 使用 Apache-2.0。本项目维护浏览器 ONNX 转换镜像。
4
+
5
+ 输入:NCHW `1×3×416×416` float32,拉伸、bicubic 插值、1/255 缩放及 ImageNet mean/std 归一化;COCO 80 类轴对齐目标检测。
6
+
7
+ ## 本版本精度与验证
8
+
9
+ 默认 FP32、ModelScope,可显式选择 Hugging Face。FP32 沿用 1.0.0 固定权重,新版本仅追加下表通过门槛的精度。
10
+
11
+ | 精度 | 字节数 | SHA-256 |
12
+ | --- | ---: | --- |
13
+ | FP32 | 4825589 | `78328c4e9484db59bba41d95d381687503e8e905711672fec702975d85075682` |
14
+ | FP16 | 3097823 | `af7a57ce3c2181c8235361e9f94d766a7db8ed13f9b4526013cce2852a7ca05a` |
15
+ | W8A32 | 1398104 | `65ed20cd0ada456cfa3dd3eb3c05c0870fbf80d4ce97fd11488023e1171f3eca` |
16
+
17
+ 2026-09-15,Windows 11 / Chromium 153 / ORT Web 1.27.0:固定 64 图、716 标注子集,WASM 单线程和物理 NVIDIA WebGPU,各三轮。相对同规格、同后端、同轮 FP32,AP 下降≤0.5个百分点、score≥0.5 且同类 IoU≥0.5 的一对一保留率≥95%;IoU≥0.99仅作坐标诊断。非全量COCO指标,不新增手机或其他浏览器兼容声明。
18
+
19
+ FP16 保留敏感算子 FP32;W8A32 为权重 INT8、激活与卷积 FP32,SDK precision 参数为 `int8`。文件体积减少是独立收益,不代表普遍加速或内存同比减少。归因与许可沿用上游 Apache-2.0。
20
+
21
+ 转换与逐变体结果:https://github.com/chenmohan123/web-sdk-PP-Detection/tree/main/reports/evaluation/2026-09-15-picodet-series-precision
picodet-s-416/1.0.1/picodet-s-416-fp16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:af7a57ce3c2181c8235361e9f94d766a7db8ed13f9b4526013cce2852a7ca05a
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+ size 3097823
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+ oid sha256:65ed20cd0ada456cfa3dd3eb3c05c0870fbf80d4ce97fd11488023e1171f3eca
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+ size 1398104
picodet-xs-320/1.0.1/LICENSE ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Apache License
2
+ Version 2.0, January 2004
3
+ http://www.apache.org/licenses/
4
+
5
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
6
+
7
+ 1. Definitions.
8
+
9
+ "License" shall mean the terms and conditions for use, reproduction,
10
+ and distribution as defined by Sections 1 through 9 of this document.
11
+
12
+ "Licensor" shall mean the copyright owner or entity authorized by
13
+ the copyright owner that is granting the License.
14
+
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+ "Legal Entity" shall mean the union of the acting entity and all
16
+ other entities that control, are controlled by, or are under common
17
+ control with that entity. For the purposes of this definition,
18
+ "control" means (i) the power, direct or indirect, to cause the
19
+ direction or management of such entity, whether by contract or
20
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
21
+ outstanding shares, or (iii) beneficial ownership of such entity.
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+ "You" (or "Your") shall mean an individual or Legal Entity
24
+ exercising permissions granted by this License.
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+
picodet-xs-320/1.0.1/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # picodet-xs-320 精度变体 1.0.1
2
+
3
+ 上游为 PaddleDetection 固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`,权重及本目录 `LICENSE` 使用 Apache-2.0。本项目维护浏览器 ONNX 转换镜像。
4
+
5
+ 输入:NCHW `1×3×320×320` float32,拉伸、bicubic 插值、1/255 缩放及 ImageNet mean/std 归一化;COCO 80 类轴对齐目标检测。
6
+
7
+ ## 本版本精度与验证
8
+
9
+ 默认 FP32、ModelScope,可显式选择 Hugging Face。FP32 沿用 1.0.0 固定权重,新版本仅追加下表通过门槛的精度。
10
+
11
+ | 精度 | 字节数 | SHA-256 |
12
+ | --- | ---: | --- |
13
+ | FP32 | 2886024 | `54417c113c07d4507af8f92027032a17a315a25014ee57922d18a2fd504797d3` |
14
+ | FP16 | 1863376 | `b96d5e62ee89fdcf0757880cbf591e28e69589c1e9ca6cd7d064aa7c57ab8d50` |
15
+
16
+ 2026-09-15,Windows 11 / Chromium 153 / ORT Web 1.27.0:固定 64 图、716 标注子集,WASM 单线程和物理 NVIDIA WebGPU,各三轮。相对同规格、同后端、同轮 FP32,AP 下降≤0.5个百分点、score≥0.5 且同类 IoU≥0.5 的一对一保留率≥95%;IoU≥0.99仅作坐标诊断。非全量COCO指标,不新增手机或其他浏览器兼容声明。
17
+
18
+ FP16 保留敏感算子 FP32;W8A32 为权重 INT8、激活与卷积 FP32,SDK precision 参数为 `int8`。文件体积减少是独立收益,不代表普遍加速或内存同比减少。归因与许可沿用上游 Apache-2.0。
19
+
20
+ 转换与逐变体结果:https://github.com/chenmohan123/web-sdk-PP-Detection/tree/main/reports/evaluation/2026-09-15-picodet-series-precision
picodet-xs-320/1.0.1/picodet-xs-320-fp16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b96d5e62ee89fdcf0757880cbf591e28e69589c1e9ca6cd7d064aa7c57ab8d50
3
+ size 1863376
picodet-xs-416/1.0.1/LICENSE ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
picodet-xs-416/1.0.1/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # picodet-xs-416 精度变体 1.0.1
2
+
3
+ 上游为 PaddleDetection 固定提交 `b25522a0f4bde8c80603f3ba5e3472059972e3b5`,权重及本目录 `LICENSE` 使用 Apache-2.0。本项目维护浏览器 ONNX 转换镜像。
4
+
5
+ 输入:NCHW `1×3×416×416` float32,拉伸、bicubic 插值、1/255 缩放及 ImageNet mean/std 归一化;COCO 80 类轴对齐目标检测。
6
+
7
+ ## 本版本精度与验证
8
+
9
+ 默认 FP32、ModelScope,可显式选择 Hugging Face。FP32 沿用 1.0.0 固定权重,新版本仅追加下表通过门槛的精度。
10
+
11
+ | 精度 | 字节数 | SHA-256 |
12
+ | --- | ---: | --- |
13
+ | FP32 | 2903707 | `c0e1208d1c2a30aaabb4cd52f31e07bbf20284ef88e8f12933da5dca481b6239` |
14
+ | FP16 | 1875659 | `c416779803cae85b3ebb57ef94068a223578d3c1ac17a30512464433e6af0c97` |
15
+
16
+ 2026-09-15,Windows 11 / Chromium 153 / ORT Web 1.27.0:固定 64 图、716 标注子集,WASM 单线程和物理 NVIDIA WebGPU,各三轮。相对同规格、同后端、同轮 FP32,AP 下降≤0.5个百分点、score≥0.5 且同类 IoU≥0.5 的一对一保留率≥95%;IoU≥0.99仅作坐标诊断。非全量COCO指标,不新增手机或其他浏览器兼容声明。
17
+
18
+ FP16 保留敏感算子 FP32;W8A32 为权重 INT8、激活与卷积 FP32,SDK precision 参数为 `int8`。文件体积减少是独立收益,不代表普遍加速或内存同比减少。归因与许可沿用上游 Apache-2.0。
19
+
20
+ 转换与逐变体结果:https://github.com/chenmohan123/web-sdk-PP-Detection/tree/main/reports/evaluation/2026-09-15-picodet-series-precision
picodet-xs-416/1.0.1/picodet-xs-416-fp16.onnx ADDED
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+ size 1875659