mlboydaisuke / RTMPose-s-Body-ExecuTorch

huggingface.co
Total runs: 200
24-hour runs: 1
7-day runs: 185
30-day runs: 167
Model's Last Updated: August 15 2026
keypoint-detection

Introduction of RTMPose-s-Body-ExecuTorch

Model Details of RTMPose-s-Body-ExecuTorch

rtmpose_s_body — ExecuTorch XNNPACK

  • Source : open-mmlab/mmpose RTMPose-s body7 (rtmpose-s_simcc-body7_pt-body7_420e-256x192)
  • License : Apache-2.0
  • Input : [[1, 3, 256, 192]] — RGB, ImageNet norm, 256x192 person crop (detect first, then crop and resize to this aspect)
  • Output : SimCC pair: x [1,17,384] and y [1,17,512] — a 1-D distribution per keypoint per axis. Decode: keypoint k sits at (argmax(x[k]) / 2, argmax(y[k]) / 2) in crop pixels; the max value doubles as the confidence.
Variants

All variants take and return fp32 tensors — swap the .pte file, keep your app code.

precision file size (MB) parity vs fp32 eager (worst corr) Mac median (ms)*
fp32 rtmpose_s_body_xnnpack_fp32.pte 21.9 1.000000 5.7

*Mac arm64, single process, median of 10 — a reference point for relative cost only, not a device number (torch eager fp32 on the same machine: 34.3 ms).

Precisions that did not earn a slot
  • fp16 is not shipped : keypoints move a median of 16 px and up to 41 px on a 192x256 crop (169 confident keypoints across 12 person crops). It also only saves 5% of the file, so there is nothing to weigh against that.
  • int8 is not shipped : keypoints move a median of 131 px on a 192x256 crop — the pose is gone. CSPNeXt's channel attention and the head's gated attention unit both resist post-training quantization; this needs QAT, not a different calibration set (re-calibrating on person crops rather than scenes made it worse, not better).
Verification (executorch 1.4.0, torch 2.13.0)

Parity is measured against the fp32 eager model on real image input; corr is the correlation over all elements of each output tensor.

output shape max_abs_diff corr
0 [1, 17, 384] 6.855e-06 1.000000
1 [1, 17, 512] 8.076e-06 1.000000

XNNPACK delegate coverage (fp32): 92.0% (229/249 ops); ops left on the portable kernels: dim_order_ops._to_dim_order_copy.default x8, aten.unsqueeze_copy.default x3, aten.split_with_sizes_copy.default x3, aten.sum.dim_IntList x2, aten.pow.Tensor_Scalar x2, aten.squeeze_copy.dims x2

Conversion

torch.export -> to_edge_transform_and_lower(XnnpackPartitioner) -> .pte (conversion scripts: executorch-models )

Runs of mlboydaisuke RTMPose-s-Body-ExecuTorch on huggingface.co

200
Total runs
1
24-hour runs
13
3-day runs
185
7-day runs
167
30-day runs

More Information About RTMPose-s-Body-ExecuTorch huggingface.co Model

More RTMPose-s-Body-ExecuTorch license Visit here:

https://choosealicense.com/licenses/apache-2.0

RTMPose-s-Body-ExecuTorch huggingface.co

RTMPose-s-Body-ExecuTorch huggingface.co is an AI model on huggingface.co that provides RTMPose-s-Body-ExecuTorch's model effect (), which can be used instantly with this mlboydaisuke RTMPose-s-Body-ExecuTorch model. huggingface.co supports a free trial of the RTMPose-s-Body-ExecuTorch model, and also provides paid use of the RTMPose-s-Body-ExecuTorch. Support call RTMPose-s-Body-ExecuTorch model through api, including Node.js, Python, http.

RTMPose-s-Body-ExecuTorch huggingface.co Url

https://huggingface.co/mlboydaisuke/RTMPose-s-Body-ExecuTorch

mlboydaisuke RTMPose-s-Body-ExecuTorch online free

RTMPose-s-Body-ExecuTorch huggingface.co is an online trial and call api platform, which integrates RTMPose-s-Body-ExecuTorch's modeling effects, including api services, and provides a free online trial of RTMPose-s-Body-ExecuTorch, you can try RTMPose-s-Body-ExecuTorch online for free by clicking the link below.

mlboydaisuke RTMPose-s-Body-ExecuTorch online free url in huggingface.co:

https://huggingface.co/mlboydaisuke/RTMPose-s-Body-ExecuTorch

RTMPose-s-Body-ExecuTorch install

RTMPose-s-Body-ExecuTorch is an open source model from GitHub that offers a free installation service, and any user can find RTMPose-s-Body-ExecuTorch on GitHub to install. At the same time, huggingface.co provides the effect of RTMPose-s-Body-ExecuTorch install, users can directly use RTMPose-s-Body-ExecuTorch installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

RTMPose-s-Body-ExecuTorch install url in huggingface.co:

https://huggingface.co/mlboydaisuke/RTMPose-s-Body-ExecuTorch

Url of RTMPose-s-Body-ExecuTorch

RTMPose-s-Body-ExecuTorch huggingface.co Url

Provider of RTMPose-s-Body-ExecuTorch huggingface.co

mlboydaisuke
ORGANIZATIONS

Other API from mlboydaisuke