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QRCode_det

Object Detection
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upload c++ demo and 620e/637 axmodel

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Files changed (21) hide show
  1. .gitattributes +3 -0
  2. CPP/ax_yolov5_qrcode_batch +3 -0
  3. CPP/ax_yolov8_qrcode_batch +3 -0
  4. README.md +63 -23
  5. cpp_result.png +3 -0
  6. model/AX620E/yolov5n_npu1.axmodel +3 -0
  7. model/AX620E/yolov5n_npu2.axmodel +3 -0
  8. model/AX620E/yolov8n_npu1.axmodel +3 -0
  9. model/AX620E/yolov8n_npu2.axmodel +3 -0
  10. model/AX637/yolov5n_npu1.axmodel +3 -0
  11. model/AX637/yolov8n_npu1.axmodel +3 -0
  12. model/AX650/deimv2_hgnetv2_femto_coco_npu3.axmodel +3 -0
  13. model/AX650/yolov5n_npu3.axmodel +3 -0
  14. model/AX650/yolov8n_npu3.axmodel +3 -0
  15. model/CPP/yolov5n_cpp_npu3.axmodel +3 -0
  16. model/CPP/yolov8n_cpp_npu3.axmodel +3 -0
  17. model/deimv2_hgnetv2_femto_coco_npu3.axmodel +3 -3
  18. model/yolov5n_npu3.axmodel +3 -3
  19. model/yolov8n_npu3.axmodel +3 -3
  20. py_result.png +3 -0
  21. result.png +0 -0
.gitattributes CHANGED
@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.axmodel filter=lfs diff=lfs merge=lfs -text
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+ CPP/* filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
CPP/ax_yolov5_qrcode_batch ADDED
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CPP/ax_yolov8_qrcode_batch ADDED
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+ oid sha256:7065df4e296f3d8519e0eff7f7e2e2a3a038c78c3d3cf42defb367d5fb3b60f9
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README.md CHANGED
@@ -3,7 +3,7 @@ license: mit
3
  pipeline_tag: object-detection
4
  ---
5
 
6
- # CodeFormer
7
 
8
  This version of QRCode detetion model has been converted to run on the Axera NPU using **w8a16** quantization.
9
 
@@ -15,26 +15,34 @@ Compatible with Pulsar2 version: 4.2
15
 
16
  For those who are interested in model conversion, you can try to export axmodel through
17
 
18
- - [The repo of AXera Platform](https://github.com/wzf19947/QRCode_det), which you can get the detail of guide
19
 
20
  - [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html)
21
 
 
22
 
23
  ## Support Platform
24
 
25
  - AX650
26
  - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
27
  - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
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-
 
 
 
 
29
  |Chips|model|cost|
30
  |--|--|--|
31
- |AX650|yolov5n|0.73 ms|
32
- |AX650|yolov8n|1.31 ms|
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- |AX650|yolov9t|1.89 ms|
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  |AX650|yolov10n|1.44 ms|
35
- |AX650|yolo11n|1.39 ms|
36
- |AX650|yolo12n|2.49 ms|
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- |AX650|DEIMv2_femto(u16)|1.79 ms|
 
 
 
38
 
39
  ## How to use
40
 
@@ -44,20 +52,41 @@ Download all files from this repository to the device
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45
  root@ax650:~/QRCode_det# tree
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  .
 
 
 
 
 
 
 
 
 
 
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  |-- model
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- | `-- deimv2_hgnetv2_femto_coco_npu3.axmodel
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- | `-- yolov5n_npu3.axmodel
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- | `-- yolov8n_npu3.axmodel
 
 
 
 
 
 
 
 
 
 
 
 
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  |-- python
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- |`-- QRCode_axmodel_infer_DEIMv2.py
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- |`-- QRCode_axmodel_infer_v5.py
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- |`-- QRCode_axmodel_infer_v8.py
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- |`-- QRCode_onnx_infer_DEIMv2.py
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- |`-- QRCode_onnx_infer_v5.py
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- |`-- QRCode_onnx_infer_v8.py
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- |`-- requirements.txt
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-
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-
61
 
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  ```
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@@ -76,7 +105,8 @@ Input Data:
76
 
77
  #### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
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- run with python3 QRCode_onnx_infer_xxx.py or python3 QRCode_axmodel_infer_xxx.py
 
80
  ```
81
  root@ax650:~/QRCode# python3 QRCode_axmodel_infer_DEIMv2.py
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  [INFO] Available providers: ['AxEngineExecutionProvider']
@@ -98,4 +128,14 @@ root@ax650:~/QRCode# python3 QRCode_axmodel_infer_DEIMv2.py
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  ```
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  Output:
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- ![alt text](result.png)
 
 
 
 
 
 
 
 
 
 
 
3
  pipeline_tag: object-detection
4
  ---
5
 
6
+ # QRCode_det
7
 
8
  This version of QRCode detetion model has been converted to run on the Axera NPU using **w8a16** quantization.
9
 
 
15
 
16
  For those who are interested in model conversion, you can try to export axmodel through
17
 
18
+ - [The original repo](https://github.com/wzf19947/QRCode_det), which you can get the detail of guide
19
 
20
  - [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html)
21
 
22
+ - [The repo of AXera Platform](https://github.com/AXERA-TECH/ax-samples),which you can compile the c++ demo
23
 
24
  ## Support Platform
25
 
26
  - AX650
27
  - [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
28
  - [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
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+ - AX630C
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+ - [爱芯派2](https://axera-pi-2-docs-cn.readthedocs.io/zh-cn/latest/index.html)
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+ - [Module-LLM](https://docs.m5stack.com/zh_CN/module/Module-LLM)
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+ - [LLM630 Compute Kit](https://docs.m5stack.com/zh_CN/core/LLM630%20Compute%20Kit)
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+
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  |Chips|model|cost|
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  |--|--|--|
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+ ||yolov5n|0.73 ms|
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+ ||yolov8n|1.31 ms|
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+ ||yolov9t|1.89 ms|
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  |AX650|yolov10n|1.44 ms|
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+ ||yolo11n|1.39 ms|
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+ ||yolo12n|2.49 ms|
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+ ||DEIMv2_femto(u16)|1.79 ms|
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+
44
+ |AX630C|yolov5n|2.57 ms|
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+ |AX630C|yolov8n|5.89 ms|
46
 
47
  ## How to use
48
 
 
52
 
53
  root@ax650:~/QRCode_det# tree
54
  .
55
+ |-- CPP
56
+ | |-- ax_yolov5_qrcode_batch
57
+ | `-- ax_yolov8_qrcode_batch
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+ |-- README.md
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+ |-- images
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+ | |-- qrcode_01.jpg
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+ | |-- qrcode_02.jpg
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+ | |-- qrcode_03.jpg
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+ | ....
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+ | `-- qrcode_55.jpg
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  |-- model
66
+ | |-- AX620E
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+ | | |-- yolov5n_npu1.axmodel
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+ | | |-- yolov5n_npu2.axmodel
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+ | | |-- yolov8n_npu1.axmodel
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+ | | `-- yolov8n_npu2.axmodel
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+ | |-- AX637
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+ | | |-- yolov5n_npu1.axmodel
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+ | | `-- yolov8n_npu1.axmodel
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+ | |-- AX650
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+ | | |-- deimv2_hgnetv2_femto_coco_npu3.axmodel
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+ | | |-- yolov5n_npu3.axmodel
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+ | | `-- yolov8n_npu3.axmodel
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+ | `-- CPP
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+ | |-- yolov5n_cpp_npu3.axmodel
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+ | `-- yolov8n_cpp_npu3.axmodel
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  |-- python
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+ | |-- QRCode_axmodel_infer_DEIMv2.py
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+ | |-- QRCode_axmodel_infer_v5.py
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+ | |-- QRCode_axmodel_infer_v8.py
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+ | |-- QRCode_onnx_infer_DEIMv2.py
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+ | |-- QRCode_onnx_infer_v5.py
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+ | |-- QRCode_onnx_infer_v8.py
88
+ | `-- requirements.txt
89
+ `-- result.png
 
90
 
91
  ```
92
 
 
105
 
106
  #### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
107
 
108
+ ##### Python
109
+ run with python3 QRCode_axmodel_infer_xxx.py
110
  ```
111
  root@ax650:~/QRCode# python3 QRCode_axmodel_infer_DEIMv2.py
112
  [INFO] Available providers: ['AxEngineExecutionProvider']
 
128
  ```
129
 
130
  Output:
131
+ ![alt text](py_result.png)
132
+
133
+ ##### C++
134
+ ```
135
+ ./ax_yolov8_qrcode_batch -m yolov8n_cpp_npu3.axmodel -i images/ -o res/
136
+ or
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+ ./ax_yolov5_qrcode_batch -m yolov5n_cpp_npu3.axmodel -i images/ -o res/
138
+ ```
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+
140
+ Output:
141
+ ![alt text](cpp_result.png)
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