Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+- en
+base_model:
+- edsr
+- espcn
+pipeline_tag: speaker-recognition
+tags:
+- Image
+- SuperResolution
+---
+
+# 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