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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★link★ here for how to build.
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★link★ here for how to build.
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★link★ here for how to build.
Open the app screen (red frame button in the image below),
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Compile in Docker environment to use libjpeg in Ubuntu (64-bit) environment.
Please refer to here★link★ here to build a Docker environment and create a Docker image.
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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★link★ here for how to build.
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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