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External libraries required for operation
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No special mentionTo build with Python, need below:
Numpy
OpenCV
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The use of external libraries will be explained later. |
Directory path of the sample app
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How to build the sample app (Python)
Load the build environment settings file in the SDK installation directory.
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$ cd ${SDK_DIR}
$ source setup_env.sh ipro-ambaCV2X |
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Set the build environment according to each environment. |
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Next, place the model-converted mobilenetPlace the model-converted tf_pose_estimation_cavalry.bin file in the sample app directory with the following configuration.
${SDK_DIR}/src/adamapp-py/yuv_pose_app/data/cnn/mobilenet_cavalry.bin
make.
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$ cd src/adamapp-py/yuv_pose_app
$ make |
It is successful if the .ext file is created in ${SDK_DIR}/src/adamapp-py/yuv_pose_app.
Install it on the camera (eg, you can install from the green frame in the image below). Select the created .ext file and install it.
Open the app screen (red frame button in the image below).
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tf_pose_estimation_cavalry.bin
See here for building with Python.
If the image of the camera is displayed, it is successful.
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