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- ---
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- license: bsd-3-clause
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- language:
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- - en
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-
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- pipeline_tag: depth-estimation
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- tags:
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- - IGEV++
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- ---
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-
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- # IGEV++
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-
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- This version of RT IGEV has been converted to run on the Axera NPU using **w8a16** quantization.
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-
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- Compatible with Pulsar2 version: 5.0-patch1
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-
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- ## Convert tools links:
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-
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- For those who are interested in model conversion, you can try to export axmodel through
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-
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- - [The repo of original](https://github.com/gangweiX/IGEV-plusplus)
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-
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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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-
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-
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- ## Support Platform
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-
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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_guide_hardware.html)
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-
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- |Chips|Models |Time|
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- |--|--|--|
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- |AX650|rt_sceneflow|142.0 ms |
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- |AX637|rt_sceneflow(分成三段 rt_p1 + rt_iterfn + rt_up)|123.0 + 29.3*18 + 9.1 = 659.5 ms|
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-
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-
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- ## How to use
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-
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- Download all files from this repository to the device
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-
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-
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- ### python env requirement
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-
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- #### pyaxengine
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-
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- https://github.com/AXERA-TECH/pyaxengine
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-
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- ```
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- wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/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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-
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- #### others
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-
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- Maybe None.
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-
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- #### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
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-
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- Input image:
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-
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- ![](samples/1_image.png)
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-
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- run
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- ```
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- python3 infer_ax.py
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- ```
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-
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- Output image:
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- ONNX result
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- ![](ONNX-Disparity-Map-rt.png)
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-
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- AXmodel result
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- ![](AXModel-Disparity-Map-rt.png)
 
 
1
+ ---
2
+ license: bsd-3-clause
3
+ language:
4
+ - en
5
+
6
+ pipeline_tag: depth-estimation
7
+ tags:
8
+ - IGEV++
9
+ ---
10
+
11
+ # IGEV++
12
+
13
+ This version of RT IGEV has been converted to run on the Axera NPU using **w8a16** quantization.
14
+
15
+ Compatible with Pulsar2 version: 5.0-patch1
16
+
17
+ ## Convert tools links:
18
+
19
+ For those who are interested in model conversion, you can try to export axmodel through
20
+
21
+ - [The repo of original](https://github.com/gangweiX/IGEV-plusplus)
22
+
23
+ - [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html)
24
+
25
+
26
+ ## Support Platform
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+
28
+ - 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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+ - AX8850
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+ - [M.2 Accelerator card](https://docs.m5stack.com/en/ai_hardware/LLM-8850_Card)
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+
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+ |Chips|Models |Time|
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+ |--|--|--|
35
+ |AX650|rt_sceneflow|142.0 ms |
36
+ |AX637|rt_sceneflow(分成三段 rt_p1 + rt_iterfn + rt_up)|123.0 + 29.3*18 + 9.1 = 659.5 ms|
37
+
38
+
39
+ ## How to use
40
+
41
+ Download all files from this repository to the device
42
+
43
+
44
+ ### python env requirement
45
+
46
+ #### pyaxengine
47
+
48
+ https://github.com/AXERA-TECH/pyaxengine
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+
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+ ```
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+ wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/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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+
55
+ #### others
56
+
57
+ Maybe None.
58
+
59
+ #### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
60
+
61
+ Input image:
62
+
63
+ ![](samples/1_image.png)
64
+
65
+ run
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+ ```
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+ python3 infer_ax.py
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+ ```
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+
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+ Output image:
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+ ONNX result
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+ ![](ONNX-Disparity-Map-rt.png)
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+
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+ AXmodel result
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+ ![](AXModel-Disparity-Map-rt.png)