Fail to deploy custom yolov5 to Luckfox Pico RV1106

  • Ryand
    Posts: 83
    Joined: 2024-12-31 3:02

    Check if the exported ONNX model is complete and meets the requirements of RKNN. You can use tools such as Netron to check if the structure of the ONNX model is correct.Reference manual RKNN supports operation waiting list:(https://github.com/rockchip-linux/rknn- ... v1.6.0.pdf). I used the official YOLOv5n model and the results were correct. The link is as follows: ( https://github.com/ultralytics/yolov5/r ... yolov5n.pt)
  • Docketrun
    Posts: 5
    Joined: 2025-06-09 5:37

    Hi @ismlcmtzn,
    Docketrun here, I also facing the same issue viewtopic.php?t=2011

    I am intrested to know, were you able to solve this issue.

    can we connect
    Thank you in advance
  • Galp
    Posts: 1
    Joined: 2026-06-09 11:28

    Hi, I am facing exactly the same problem. I checked the exported ONNX model, and it seems to be correct. Does anyone have a solution to this problem?

    ismlcmtzn wrote: ↑2025-01-10 13:44

    Hi,

    I am trying to deploy my custom model to the Luckfox Pico RV1106 board. I trained a YOLOv5n model with only one class. Then, I cloned the repository from https://github.com/airockchip/yolov5.git and ran the command:
    python export.py --rknpu --weight best.pt

    After that, I cloned the repository from https://github.com/airockchip/rknn_model_zoo.git.
    cd examples/yolov5/python
    python3 convert.py /weight/best.onnx rv1106
    [img]file:///home/ubuntu007/Pictures/Screenshots/Screenshot%20from%202025-01-10%2016-39-33.png[/img]

    Then
    [img]file:///home/ubuntu007/Pictures/Screenshots/Screenshot%20from%202025-01-10%2016-40-35.png[/img]

    After I send the folder to the board and...
    [root@luckfox rknn_yolov5_demo_v5]# ./rknn_yolov5_demo model/yolov5.rknn model/test.jpg
    load lable ./model/coco_80_labels_list.txt
    model input num: 1, output num: 3
    input tensors:
    index=0, name=images, n_dims=4, dims=[1, 640, 640, 3], n_elems=1228800, size=1228800, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=-128, scale=0.003922
    output tensors:
    index=0, name=output0, n_dims=4, dims=[1, 80, 80, 18], n_elems=115200, size=115200, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=-128, scale=0.003922
    index=1, name=343, n_dims=4, dims=[1, 40, 40, 18], n_elems=28800, size=28800, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=-128, scale=0.003922
    index=2, name=345, n_dims=4, dims=[1, 20, 20, 18], n_elems=7200, size=7200, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=-128, scale=0.003922
    input_attrs[0].size_with_stride=1228800
    model is NHWC input fmt
    model input height=640, width=640, channel=3
    origin size=640x640 crop size=640x640
    input image: 640 x 640, subsampling: 4:2:0, colorspace: YCbCr, orientation: 1
    scale=1.000000 dst_box=(0 0 639 639) allow_slight_change=1 _left_offset=0 _top_offset=0 padding_w=0 padding_h=0
    rga_api version 1.10.1_[0]
    rknn_run
    Segmentation fault (core dumped)

    I get this error.

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