yolo26-pose
This repository hosts the yolo26-pose models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: Yolo26
Variants
| Path | Backend | Precision |
|---|---|---|
384/vulkan/yolo26n_pose_384_vulkan_fp16.pte |
vulkan | fp16 |
512/vulkan/yolo26n_pose_512_vulkan_fp16.pte |
vulkan | fp16 |
640/vulkan/yolo26n_pose_640_vulkan_fp16.pte |
vulkan | fp16 |
coreml/yolo26n_pose_384_coreml_fp16.pte |
coreml | fp16 |
coreml/yolo26n_pose_512_coreml_fp16.pte |
coreml | fp16 |
coreml/yolo26n_pose_640_coreml_fp16.pte |
coreml | fp16 |
xnnpack/yolo26n_pose_384_xnnpack_fp32.pte |
xnnpack | fp32 |
xnnpack/yolo26n_pose_384_xnnpack_int8.pte |
xnnpack | int8 |
xnnpack/yolo26n_pose_512_xnnpack_fp32.pte |
xnnpack | fp32 |
xnnpack/yolo26n_pose_512_xnnpack_int8.pte |
xnnpack | int8 |
xnnpack/yolo26n_pose_640_xnnpack_fp32.pte |
xnnpack | fp32 |
xnnpack/yolo26n_pose_640_xnnpack_int8.pte |
xnnpack | int8 |
XNNPACK int8
The xnnpack/*_int8.pte files are static int8 (PT2E, per-channel weights) with the
first convolution, the neck outputs (layers 16, 19, 22) and the Pose head kept fp32.
COCO keypoint (OKS) mAP50-95 on the first 500 val2017 images against the fp32 file:
| 384 | 512 | 640 | |
|---|---|---|---|
| fp32 | 46.08 | 52.53 | 56.55 |
| int8 | 45.32 | 51.82 | 56.13 |
Unshipped backends
A backend directory carrying a NOTES.md and no .pte was exported and
not published. Its note records what went wrong.
mlx(why)
Repository structure
384/vulkan/config.json 1.1 kB
384/vulkan/yolo26n_pose_384_vulkan_fp16.pte 5.8 MB
512/vulkan/config.json 1.1 kB
512/vulkan/yolo26n_pose_512_vulkan_fp16.pte 5.8 MB
640/vulkan/config.json 1.1 kB
640/vulkan/yolo26n_pose_640_vulkan_fp16.pte 5.8 MB
config.json 33 B
coreml/config.json 2.7 kB
coreml/yolo26n_pose_384_coreml_fp16.pte 6.5 MB
coreml/yolo26n_pose_512_coreml_fp16.pte 6.5 MB
coreml/yolo26n_pose_640_coreml_fp16.pte 6.5 MB
mlx/NOTES.md 2.7 kB
xnnpack/config.json 5.2 kB
xnnpack/yolo26n_pose_384_xnnpack_fp32.pte 11.4 MB
xnnpack/yolo26n_pose_384_xnnpack_int8.pte 6.7 MB
xnnpack/yolo26n_pose_512_xnnpack_fp32.pte 11.4 MB
xnnpack/yolo26n_pose_512_xnnpack_int8.pte 6.7 MB
xnnpack/yolo26n_pose_640_xnnpack_fp32.pte 11.4 MB
xnnpack/yolo26n_pose_640_xnnpack_int8.pte 6.7 MB
Compatibility
These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.
To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.
To load these files in your own ExecuTorch runtime, read the compatibility note first.
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