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Get the AI model conversion tool from below and build the environment.
AI model convert tool - Technology Partner FAQ (En) - Confluence (atlassian.net)
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It may take several days from the time you make an inquiry to the time it is provided. |
After building the environment, refer to the following and convert the sample model.
AI model convert tool: Tensorflow - Technology Partner FAQ (En) - Confluence (atlassian.net)
The setting.conf used for conversion is stored below.
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How to build the sample app (Python)
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This article describes how to build it as AdamApp. If you want to build it as Container AdamApp, see below. Development tutorial (Container AdamApp) - Technology Partner FAQ (En) - Confluence |
Place the model-converted tf_pose_estimation_cavalry.bin file in the sample app directory with the following configuration.
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Please see the picture of the camera and the person.
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Immediately after launching the app, it will take some time for the app to start working as it needs to load the AI model. Please wait about 10 seconds. |
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Mosaic processing is applied around the face. |
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Please download the pb file.
https://github.com/ZheC/tf-pose-estimation/blob/master/models/graph/mobilenet_thin_432x368/graph_freeze.pb
*After downloading from the above page, copy it into the conversion tool. There is downloading issue if you use wget from the conversion tool.Use CV tool to convert.
Please use the setting.conf in the folder for conversion.
Please refer to the following for how to obtain the CV tool.
Ja: https://dev-partner.i-pro.com/space/TPFAQ/961545224
En: https://dev-partner-en.i-pro.com/space/TPFAQEN/967804089Place the converted model file (.bin) in the
data_CV2X/cnn
and
data_CV5X/cnn
folder.