update

.gitattributes

@@ -37,3 +37,5 @@ models/rt_sceneflow.axmodel filter=lfs diff=lfs merge=lfs -text
 models/rt_sceneflow.onnx filter=lfs diff=lfs merge=lfs -text
 demo-imgs/im0.png filter=lfs diff=lfs merge=lfs -text
 demo-imgs/im1.png filter=lfs diff=lfs merge=lfs -text
+AXModel-Disparity-Map-rt.png filter=lfs diff=lfs merge=lfs -text
+ONNX-Disparity-Map-rt.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,5 +1,75 @@
 ---
-license: mit
+license: bsd-3-clause
+language:
+- en
+base_model:
+- IGEV++
+pipeline_tag: depth-estimation  
+tags:
+- IGEV++
 ---
 
-RT IGEV from https://github.com/gangweiX/IGEV-plusplus
+# IGEV++   
+
+This version of RT IGEV has been converted to run on the Axera NPU using **w8a16** quantization.
+
+Compatible with Pulsar2 version: 5.0-patch1
+
+## Convert tools links:
+
+For those who are interested in model conversion, you can try to export axmodel through 
+
+- [The repo of original](https://github.com/gangweiX/IGEV-plusplus)
+
+- [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)
+ 
+|Chips|Models |Time|
+|--|--|--|
+|AX650|rt_sceneflow|210.0 ms |
+
+
+
+## How to use
+
+Download all files from this repository to the device
+
+
+### python env requirement
+
+#### pyaxengine
+
+https://github.com/AXERA-TECH/pyaxengine
+
+```
+wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/axengine-0.1.3-py3-none-any.whl
+pip install axengine-0.1.3-py3-none-any.whl
+```
+
+#### others
+
+Maybe None.
+
+#### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
+
+Input image:
+
+![](samples/1_image.png)
+
+run 
+```
+python3 infer_ax.py
+```
+
+Output image:  
+ONNX result  
+![](ONNX-Disparity-Map-rt.png)
+
+AXmodel result  
+![](AXModel-Disparity-Map-rt.png)