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Please contact us from here to download tool.

Info

It Docker files will be provided after receiving approval from Ambarella. Therefore, it will take a few days from sending the request till we send the Docker file.

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If there are no problems with the tools you are currently using, updating the tools is not required.

v1.21

  • Added yolov8 to ONNX sample.

v1.20

  • Updated CV tool provided by SoC vender (CNNGen Ver.2.5.6.0.1245)

  • Updated DnnSdApp to v0.5
    Added setting items for AI model input. Please refer herefor details.

  • Update Document

v1.19

v1.18

v1.17

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Note
  • The target users of this document are supposed to have skill of training AI model.

  • The cvtool is not the tool for training AI model.
    Users have to train it in each framework in advance.

  • The cvtool handles CNN as target AI model.

  • The model of tensorflow v2.x needs to be converted to tflite or ONNX in advance.

  • Pytorch model needs to be converted to ONNX in advance

  • Different binary file (cavalry.bin) is required for ambaCV2X camera and ambaCV5X camera.

Development Flow

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The CV Tool handles colored items in the figure below.

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The inference time of 8bit operation is faster but less accurate compared to 16bit operation.

Preparation

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Please refer here for the environment construction procedure.

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 AI model convert tool: Tensorflow

 AI model convert tool: ONNX/PyTorch

Limitation of liability

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  • This tool provides the features for developing additional application executed in security cameras. The behavior of developed application is not guaranteed. In addition, the embedded features will not be guaranteed after installing additional application to the camera.

  • The provided sample files are only to show users how to use this tool and that they are not practically used for actual surveillance system.

  • In no event shall i-PRO Co., Ltd. be liable to any party or any person, except for replacement or reasonable maintenance of the product, for the cases, including but not limited to below;

    • Any damage and loss, including without limitation, direct or indirect, special, consequential or exemplary, arising out of or relating to the product;

    • Personal injury or any damage caused by inappropriate use or neglect operation of the user;

    • Any problems, consequential inconvenience, or loss or damage, arising out of the reverse compiling or reverse engineering of the product;

    • Any loss or damage, or claims arising out from loss or leak of PS data including video data in the PC;

    • Any claim or action for damages, brought by any person or organization being a photogenic subject, due to violation of privacy with the result of that surveillance camera's picture, including saved data, for some reason, becomes public or is used for the purpose other than surveillance;