| --- |
| license: afl-3.0 |
| base_model: |
| - facebook/EdgeTAM |
| pipeline_tag: image-segmentation |
| --- |
| # EdgeTAM |
| 基于EdgeTAM的图像分割Pipeline，支持多种输入提示（框、点、掩码），支持650N系列平台的模型推理。 |
|
|
| 支持芯片: |
| - AX650N |
|
|
|
|
| 支持硬件 |
|
|
| - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html) |
| - [M.2 Accelerator card](https://docs.m5stack.com/zh_CN/ai_hardware/LLM-8850_Card) |
|
|
| 原始模型请参考 |
| - [EdgeTAM Github](https://github.com/facebookresearch/EdgeTAM) |
| - [EdgeTAM Huggingface](https://huggingface.co/facebook/EdgeTAM) |
|
|
| ## 性能对比 |
|
|
| - 输入图片大小 1024x1024 |
|
|
| | Models | Latency (ms) | CMM Usage (MB) | |
| | --------------------- | ---------------------- | -------------- | |
| | edgetam_image_encoder | 22.348 | 29.124 | |
| | edgetam_prompt_encoder | 0.055 | 0.023 | |
| | edgetam_prompt_mask_encoder | 0.457 | 0.037 | |
| | edgetam_mask_decoder | 4.729 | 16.730 | |
| |
| ## 模型转换 |
| - 模型转换工具链[Pulsar2](https://huggingface.co/AXERA-TECH/Pulsar2) |
| - 转换文档[Model Convert](https://github.com/AXERA-TECH/EdgeTAM.Axera/tree/main/model_convert) |
| |
| ## 环境准备 |
| - NPU Python API: [pyaxengine](https://github.com/AXERA-TECH/pyaxengine) |
| |
| 安装需要的python库 |
| ```pip install -r requirements.txt``` |
| |
| ## 运行 |
| |
| ```bash |
| (myenv) root@ax650:~/EdgeTAM# python3 image_prediction_ax.py --input_box 75,275,1725,850 |
| [INFO] Available providers: ['AxEngineExecutionProvider'] |
| Loading EdgeTAM Onnx models... |
| [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: 5.0-patch1-dirty a512c95e-dirty |
| [INFO] Using provider: AxEngineExecutionProvider |
| [INFO] Model type: 2 (triple core) |
| [INFO] Compiler version: 5.0-patch1-dirty a512c95e-dirty |
| [INFO] Using provider: AxEngineExecutionProvider |
| [INFO] Model type: 2 (triple core) |
| [INFO] Compiler version: 5.0-patch1-dirty a512c95e-dirty |
| [INFO] Using provider: AxEngineExecutionProvider |
| [INFO] Model type: 2 (triple core) |
| [INFO] Compiler version: 5.0-patch1-dirty a512c95e-dirty |
| Get prompts: |
| input_box: [ 75 275 1725 850] |
| input_point_coords: None |
| input_point_labels: None |
| Only box input provided |
| Get dense_embeddings_no_mask |
| [0.9777304] |
| ✅ Saved: ./results/mask_1.png |
| ``` |
| |
| 保存结果在 `./results` 目录下： |
|  |
| |
| ``` |
| (myenv) root@ax650:~/EdgeTAM# python3 image_prediction_ax.py --image_path ./examples/images/truck.jpg --input_box 425,600,700,875 --input_point_coords 575,750 --input_point_labels 0 |
| [INFO] Available providers: ['AxEngineExecutionProvider'] |
| Loading EdgeTAM Onnx models... |
| [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: 5.0-patch1-dirty a512c95e-dirty |
| [INFO] Using provider: AxEngineExecutionProvider |
| [INFO] Model type: 2 (triple core) |
| [INFO] Compiler version: 5.0-patch1-dirty a512c95e-dirty |
| [INFO] Using provider: AxEngineExecutionProvider |
| [INFO] Model type: 2 (triple core) |
| [INFO] Compiler version: 5.0-patch1-dirty a512c95e-dirty |
| [INFO] Using provider: AxEngineExecutionProvider |
| [INFO] Model type: 2 (triple core) |
| [INFO] Compiler version: 5.0-patch1-dirty a512c95e-dirty |
| ['575,750'] |
| 575,750 |
| Get prompts: |
| input_box: [425 600 700 875] |
| input_point_coords: [[575 750]] |
| input_point_labels: [0] |
| Get dense_embeddings_no_mask |
| [0.90291053] |
| ✅ Saved: ./results/mask_1.png |
|
|
| ``` |
|  |
