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Make sure the files are copied to the destination “${SDK_DIR}/src/adamapp/opencv_edge_detection_app/external/include/opencv2“ directory.
Delete files no longer needed
The information needed for debugging library is included in the OpenCV library you created.
We recommend that you delete this file to reduce the folder size as you do not need this to run the application.
Code Block |
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$ cd ${SDK_DIR}/src/adamapp/opencv_edge_detection_app/external/lib/aarch64-linux-gnu/
$ aarch64-linux-gnu-strip --strip-debug libopencv_world.so
$ aarch64-linux-gnu-strip --strip-debug libopencv_world.so.4.7.0
$ aarch64-linux-gnu-strip --strip-debug libopencv_world.so.407 |
Build the sample application
Build the sample application "opencv_edge_detection_app" and install it on the camera (eg, it can be installed from the green frame in the image below).
See here for how to buildPlease perform the build method according to each SDK version.
Open the app screen (red frame button in the image below),
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Build the sample application "update_sample_app" and install it on the camera (eg, it can be installed from the green frame in the image below).
See here for how to buildPlease perform the build method according to each SDK version.
Open the app screen (red frame button in the image below),
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Build the sample application "sqlite_app" and install it on the camera (eg, it can be installed from the green frame in the image below).
See here for how to buildPlease perform the build method according to each SDK version.
Open the app screen (red frame button in the image below),
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Build the sample application "jpeg_app" and install it on the camera (eg, it can be installed from the green frame in the image below).
See here for how to buildPlease perform the build method according to each SDK version.
Open the app screen (red frame button in the image below), and if the image of the captured by the camera is displayed, it is successful.
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