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* Use `-Dneon_flags=armv8-neon` to enable optimisations for 32-bit OSes on Raspberry Pi 3 or Raspberry Pi 4.
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* Use `-Denable_opencv=enabled` if you have installed OpenCV and wish to use OpenCV-based post-processing stages.
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* Use `-Denable_tflite=enabled` if you have installed TensorFlow Lite and wish to use it in post-processing stages.
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* Use `-Denable_hailo=enabled` if you have installed HailoRT and wish to use it in post-processing stages.
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@@ -226,6 +227,11 @@ The `meson` build configuration for `rpicam-apps` supports the following flags:
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`-Denable_tflite=enabled`:: Enables or disables TensorFlow Lite post-processing stages. Disabled by default. Requires Tensorflow Lite to enable. Depending on how you have built and/or installed TFLite, you may need to tweak the `meson.build` file in the `post_processing_stages` directory.
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`-Denable_hailo=enabled`:: Enables or disables HailoRT-based post-processing stages. Requires HailoRT to enable. Defaults to `auto`.
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`-Ddownload_hailo_models=true`:: Downloads and installs models for HailoRT post-processing stages. Requires `wget` to be installed. Defaults to `true`.
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Each of the above options (except for `neon_flags`) supports the following values:
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* `enabled`: enables the option, fails the build if dependencies are not available
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