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This version of YOLOv26-Pose has been converted to run on the Axera NPU using w8a16 quantization.
Fonte do modelo
Descrição da fonte
This version of YOLOv26-Pose has been converted to run on the Axera NPU using w8a16 quantization.
Compatible with Pulsar2 version: 5.1.
For those who are interested in model conversion, you can try to export axmodel through:
Fontes
1 fonteVerificado 4 de ago.
Artefatos de modelo
5 artefatosTrechos de fonte
2 trechos| Model | FPS | CMM(MB) | Latency(ms) |
|---|---|---|---|
| yolo26n-pose | 240.21 | 5.71 | 4.163 |
| yolo26s-pose | 99.30 | 17.90 | 10.070 |
| yolo26m-pose | 36.96 | 37.82 | 27.053 |
| yolo26l-pose | 28.88 | 39.25 | 34.620 |
| yolo26x-pose | 13.50 | 79.61 | 74.072 |
| Model | FPS | CMM(MB) | Latency(ms) |
|---|---|---|---|
| yolo26n-pose | 655.74 | 3.80 | 1.525 |
| yolo26s-pose | 283.45 | 11.27 | 3.528 |
| yolo26m-pose | 107.57 | 28.98 | 9.296 |
| yolo26l-pose | 83.59 | 35.22 | 11.963 |
| yolo26x-pose | 39.80 | 72.24 | 25.128 |
| Model | Latency(ms) npu1 | Latency(ms) npu2 |
|---|---|---|
| yolo26n-pose | 11.003 | 7.203 |
| yolo26s-pose | 24.157 | 17.120 |
| Model | Latency(ms) npu1 | Latency(ms) npu2 |
|---|---|---|
| yolo26n-pose | 19.542 | 11.446 |
| yolo26s-pose | 57.481 | 28.553 |
| Model | Latency(ms) |
|---|---|
| yolo26n-pose | 4.595 |
| yolo26s-pose | 11.848 |
Download all files from this repository to the device
wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/axengine-0.1.3-py3-none-any.whl
pip install axengine-0.1.3-py3-none-any.whl
Maybe None.
Input image:
run
python ax_infer_pose.py --model-path yolo26l-pose_npu3.axmodel --test-img bus.jpg
(ax_env) root@ax650:~/ax650# python ax_infer.py --model-path yolo26l-pose_npu3.axmodel --test-img bus.jpg
[INFO] Available providers: ['AxEngineExecutionProvider']
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Chip type: ChipType.MC50
[INFO] VNPU type: VNPUType.DISABLED
[INFO] Engine version: 2.12.0s
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 5.1-patch1-dirty 9164b433-dirty
[YOLO26-Pose] [16:47:23.013] [DEBUG] Load model time = 838.91 ms
[YOLO26-Pose] [16:47:23.070] [DEBUG] Pre-process time = 16.87 ms
[YOLO26-Pose] [16:47:23.109] [DEBUG] Forward time = 39.14 ms
[YOLO26-Pose] [16:47:23.113] [DEBUG] Post-process time = 2.97 ms
[YOLO26-Pose] [16:47:23.117] [INFO] Draw Results (4 persons):
[YOLO26-Pose] [16:47:23.117] [INFO] (221, 406, 345, 859) -> person: 0.92
[YOLO26-Pose] [16:47:23.120] [INFO] (668, 391, 807, 880) -> person: 0.92
[YOLO26-Pose] [16:47:23.122] [INFO] (47, 397, 243, 901) -> person: 0.90
[YOLO26-Pose] [16:47:23.123] [INFO] (0, 439, 78, 949) -> person: 0.69
[YOLO26-Pose] [16:47:23.151] [INFO] Saved to result_yolo26_pose.jpg
Output image:
yolo26n-pose_640x640.onnx
onnx · 11,3 MB · SHA-256 a3a32656f8b3…c53d · Hugging Face
--- license: agpl-3.0 language: - en base_model: - YOLO26 pipeline_tag: keypoint-detection tags: - Axera - YOLO26-Pose - NPU - Ultralytics - Pose Estimation --- # YOLO26-Pose This version of **YOLOv26-Pose** has been converted to run on the Axera NPU using **w8a16** quantization. Compatible with Pulsar2 version: 5.1. ## Convert tools links: For those who are interested in model conversion, you can try to export axmodel through: - [The repo of AXera Platform](https://github.com/AXERA-TECH/ax-samples), where you can get the detailed guide. - [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html) ## Support Platform - **AX650N/AX8850** - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html) - [M.2 Accelerator card](https://docs.m5stack.com/en/ai_hardware/LLM-8850_Card) - **AX630C** - [爱芯派2](https://axera-pi-2-docs-cn.readthedocs.io/zh-cn/latest/index.html) - [Module-LLM](https://docs.m5stack.com/zh_CN/module/Module-LLM) - [LLM630 Compute Kit](https://docs.m5stack.com/zh_CN/core/LLM630%20Compute%20Kit) - **AX615** - **AX637** ### Performance Statistics #### AX650N(NPU1) | Model | FPS | CMM(MB) | Latency(ms) | | :--- | :---: | :---: | :---: | | **yolo26n-pose** | 240.21 | 5.71 | 4.163 | | **yolo26s-pose** | 99.30 | 17.90 | 10.070 | | **yolo26m-pose** | 36.96 | 37.82 | 27.053 | | **yolo26l-pose** | 28.88 | 39.25 | 34.620 | | **yolo26x-pose** | 13.50 | 79.61 | 74.072 | #### AX650N(NPU3) | Model | FPS | CMM(MB) | Latency(ms) | | :--- | :---: | :---: | :---: | | **yolo26n-pose** | 655.74 | 3.80 | 1.525 | | **yolo26s-pose** | 283.45 | 11.27 | 3.528 | | **yolo26m-pose** | 107.57 | 28.98 | 9.296 | | **yolo26l-pose** | 83.59 | 35.22 | 11.963 | | **yolo26x-pose** | 39.80 | 72.24 | 25.128 | #### AX630C | Model | Latency(ms) npu1 | Latency(ms) npu2 | | :--- | :---: | :---: | | **yolo26n-pose**| 11.003 | 7.203 | | **yolo26s-pose**| 24.157 | 17.120 | #### AX615 | Model | Latency(ms) npu1 | Latency(ms) npu2 | | :--- | :---: | :---: | | **yolo26n-pose**| 19.542 | 11.446 | | **yolo26s-pose**| 57.481 | 28.553 | #### AX637 | Model | Latency(ms) | | :--- | :---: | | **yolo26n-pose**| 4.595 | | **yolo26s-pose**| 11.848 | ## How to use Download all files from this repository to the device ### python env requirement #### pyaxengine https://github.com/AXERA-TECH/...
Source context: 8 downloads · 0 likes · Pipeline keypoint-detection · Repo AXERA-TECH/yolo26-pose