---
pipeline_tag: image-to-image
---

# SuperResolution

This version of SuperResolution has been converted to run on the Axera NPU using **w8a8** quantization.

This model has been optimized with the following LoRA: 

Compatible with Pulsar2 version: 4.2

## 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), which you can get the detail of guide

- [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html) 


## Support Platform

- AX650
  - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
  - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
- 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)
  
|Chips|model|cost|
|--|--|--|
|AX650|EDSR|800 ms|
|     |ESPCN|22 ms|

## How to use

Download all files from this repository to the device

```

root@ax650:~/SuperResolution# tree
.
|-- model_convert
|	-- axmodel
|   	`-- edsr_baseline_x2_1.axmodel
|   	`-- espcn_x2_T9.axmodel
|	-- onnx
|   	`-- edsr_baseline_x2_1.onnx
|   	`-- espcn_x2_T9.onnx
|   `-- build_config_edsr.json
|   `-- build_config_espcn.json
|-- python
|   `-- run_onnx.py
|   `-- run_axmodel.py
|   `-- common.py
|   `-- imgproc.py
|-- video
|   `-- test_1920x1080.mp4
|   `-- 1.png
|   `-- 2.png


```

### Inference

Input Data:
|-- video
|   `-- test_1920x1080.mp4

#### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)

```
root@ax650 ~/SuperResolution #python3 run_axmodel.py --model ./edsr_baseline_x2_1.axmodel --scale 2 --dir_demo ./test_1920x1080.mp4
[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: 4.2 6bff2f67
100%|█████████████████████████████████████████| 267/267 [10:06<00:00,  2.27s/it]
Total time: 99.582 seconds for 267 frames
Average time: 0.373 seconds for each frame

```

Output:
[INFO]: The