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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- briaai/RMBG-1.4 |
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pipeline_tag: image-segmentation |
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--- |
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# RMBG-1.4 |
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This version of RMBG-1.4 has been converted to run on the Axera NPU using **w8a8** quantization. |
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Compatible with Pulsar2 version: 5.1 |
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## Convert tools links: |
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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), which you can get the detial of guide |
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- [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html) |
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## Support Platform |
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- AX650 |
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- [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html) |
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- [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_introduction.html) |
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| Chips | cost | |
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| ----- | ------ | |
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| AX650 | 128 ms | |
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## How to use |
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Download all files from this repository to the device |
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```bash |
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(base) root@ax650:/home/ax650/RMBG-1.4# tree |
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. |
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├── ax_inference.py |
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├── axmodel |
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│ ├── build_config.json |
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│ └── rmbg1_4_ax650.axmodel |
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├── ax_rmbg |
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├── img |
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│ ├── 3_1920x1080.jpg |
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│ └── example_input.jpg |
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├── mask.png |
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├── README.md |
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├── result.png |
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└── rmbg_1_4_sim.onnx |
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``` |
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### Inference |
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If you Inference with python,pyaxengine is need,you can install by: |
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```python |
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wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc1/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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``` |
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Inference with AX650 Host, such as M4N-Dock(爱芯派Pro) |
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```python |
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(base) root@ax650:/home/ax650/RMBG-1.4# python3 ax_inference.py -m ./axmodel/rmbg1_4_ax650.axmodel -i ./img/example_input.jpg |
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Command: ax_inference.py -m ./axmodel/rmbg1_4_ax650.axmodel -i ./img/example_input.jpg |
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Parameters: |
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--model: ./axmodel/rmbg1_4_ax650.axmodel |
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--img_path: ./img/example_input.jpg |
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--save_path: ./result.png |
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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: 2.12.0s |
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[INFO] Model type: 0 (single core) |
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[INFO] Compiler version: 5.1 59c683ff |
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输入名称:input,输入尺寸:[1024, 1024] |
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推理时间:121.97 ms |
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推理完成,带透明通道的结果已保存至:./result.png |
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``` |
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| Input | Output | |
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| :----------------------------------------------------------: | :----------------------------------------------------------: | |
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| <img src="./img/example_input.jpg" alt="example_input" style="zoom: 33%;" /> | <img src="./img/example_input_result.png" alt="example_input_result" style="zoom:33%;" /> | |
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Inference with C++ version : |
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``` |
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(base) root@ax650:/home/ax650/RMBG-1.4# ./ax_rmbg -m ./axmodel/rmbg1_4_ax650.axmodel -i ./img/3_1920x1080.jpg |
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-------------------------------------- |
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Model file: ./axmodel/rmbg1_4_ax650.axmodel |
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Input image: ./img/3_1920x1080.jpg |
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Output image: result.png |
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Model input size: 1024 x 1024 |
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Repeat count: 1 |
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-------------------------------------- |
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Original image size: 1920 x 1080, channels: 3 |
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Engine creating handle is done. |
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Engine creating context is done. |
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Engine get io info is done. |
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Inputs: |
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[0] name: input, shape: [1, 3, 1024, 1024] |
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Outputs: |
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[0] name: output, shape: [1, 1, 1024, 1024] |
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Engine alloc io is done. |
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Engine push input is done. |
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-------------------------------------- |
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post process cost time:23.89 ms |
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-------------------------------------- |
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Repeat 1 times, avg time 106.16 ms, max_time 106.16 ms, min_time 106.16 ms |
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-------------------------------------- |
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Saved result image: result.png |
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Saved mask: mask.png |
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``` |
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| Input | Output | Mask | |
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| ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | |
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| <img src="./img/3_1920x1080.jpg" alt="3_1920x1080" style="zoom:20%;" /> | <img src="./img/3_1920x1080_result.png" alt="3_1920x1080_result" style="zoom:20%;" /> | <img src="./img/3_1920x1080_mask.png" alt="3_1920x1080_mask" style="zoom:20%;" /> | |