| ---
|
| license: agpl-3.0
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| language:
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| - en
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| pipeline_tag: object-detection
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| tags:
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| - Axera
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| - NPU
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| - Object Detection
|
| ---
|
|
|
| # Axera-emd
|
|
|
| This version of **Axera-emd** has been converted to run on the Axera NPU using **w8a16** quantization. It is primarily used for detecting bicycles, e-bikes, or motorcycles in elevator control applications.
|
|
|
| ## Supported Classes
|
|
|
| This model is trained to detect the following **2 classes**:
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| 1. **bicycle**
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| 2. **e-bike**
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|
|
| Compatible with Pulsar2 version: 5.0.
|
|
|
| ## Convert tools links:
|
|
|
| For those who are interested in model conversion, you can try to export axmodel through:
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| - [The repo of AXera Platform](https://github.com/AXERA-TECH/ax-samples), where you can get the detailed guide.
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| - [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html)
|
|
|
| ## Support Platform
|
|
|
| https://docs.m5stack.com/zh_CN/ai_hardware/AI_Pyramid-Pro
|
|
|
| - **AX650N/AX8850**
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| - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
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| - [AI Pyramid](https://docs.m5stack.com/zh_CN/ai_hardware/AI_Pyramid-Pro)
|
| - [M.2 Accelerator card](https://docs.m5stack.com/en/ai_hardware/LLM-8850_Card)
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| - **AX620E**
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| - [爱芯派2](https://axera-pi-2-docs-cn.readthedocs.io/zh-cn/latest/index.html)
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| - [Module-LLM](https://docs.m5stack.com/zh_CN/module/Module-LLM)
|
|
|
| ## How to use
|
|
|
| Download all files from this repository to the device.
|
|
|
| ### python env requirement
|
|
|
| #### pyaxengine
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|
|
| https://github.com/AXERA-TECH/pyaxengine
|
|
|
| ```bash
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| wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/axengine-0.1.3-py3-none-any.whl
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| pip install axengine-0.1.3-py3-none-any.whl
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| ```
|
|
|
| ### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
|
|
|
| Input image:
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| 
|
|
|
| run
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| ```bash
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| python3 ax_emd_infer.py --model ./AX650/ax_ax650_emd_algo_V1.0.0.axmodel --img test.jpg
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| ```
|
|
|
| ```bash
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| root@ax650:/pcd# python3 ax_emd_infer.py --model ./AX650/ax_ax650_emd_algo_V1.0.0.axmodel --img test.jpg
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| [INFO] Available providers: ['AxEngineExecutionProvider']
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| [INFO] Using provider: AxEngineExecutionProvider
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| [INFO] Chip type: ChipType.MC50
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| [INFO] VNPU type: VNPUType.DISABLED
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| [INFO] Engine version: 2.10.1s
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| [INFO] Model type: 2 (triple core)
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| [INFO] Compiler version: 6.0 79a1e641
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| Input_name: images, Output_name: ['output0', 'output1']
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| Preprocess time: 7.52 ms
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| Inference time: 18.09 ms
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| Total detect 1 objects
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| 0: e-bike 0.785 [657.0, 321.0, 877.0, 635.0]
|
| ```
|
|
|
| Output image:
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| 
|
|
|
| |
