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docs/_sources/docs/command_line/classify_audio_cli_help.md.txt
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docs/_sources/docs/command_line/fingerprint_reader_cli_help.md.txt
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```text | ||
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Usage: mltk fingerprint_reader [OPTIONS] <model> | ||
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View/save fingerprints captured by the fingerprint eader connected to an | ||
embedded device. | ||
NOTE: A supported embedded device must be locally connected to use this | ||
command. | ||
Additionally, an R503 fingerprint module: | ||
https://www.adafruit.com/product/4651 | ||
must be connected connected to the development board. | ||
Refer to the online documentation for how to connect it to the development: | ||
https://siliconlabs.github.io/mltk/docs/cpp_development/examples/fingerprint_ | ||
authenticator.html#hardware-setup | ||
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For more details, ee: | ||
https://siliconlabs.github.io/mltk/mltk/tutorials/fingerprint_authentication | ||
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Usage: mltk fingerprint_reader [OPTIONS] <model> | ||
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View/save fingerprints captured by the fingerprint eader connected to an embedded device. | ||
NOTE: A supported embedded device must be locally connected to use this command. | ||
Additionally, an R503 fingerprint module: https://www.adafruit.com/product/4651 | ||
must be connected connected to the development board. | ||
Refer to the online documentation for how to connect it to the development: | ||
https://siliconlabs.github.io/mltk/docs/cpp_development/examples/fingerprint_authenticator.html#hardware-setup | ||
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||
For more details, ee: | ||
https://siliconlabs.github.io/mltk/mltk/tutorials/fingerprint_authentication | ||
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Arguments | ||
* model <model> On of the following: | ||
- MLTK model name | ||
- Path to .tflite file | ||
- Path to model archive file (.mltk.zip) | ||
NOTE: The model must have been previously trained | ||
for image classification | ||
[default: None] | ||
[required] | ||
* model <model> On of the following: [default: None] [required] | ||
- MLTK model name | ||
- Path to .tflite file | ||
- Path to model archive file (.mltk.zip) | ||
NOTE: The model must have been previously trained for image classification | ||
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Options | ||
--accelerator -a <name> Name of accelerator to use while | ||
executing the audio classification | ||
ML model | ||
[default: None] | ||
--port <port> Serial COM port of a locally | ||
connected embedded device. | ||
'If omitted, then attempt to | ||
automatically determine the serial | ||
COM port | ||
[default: None] | ||
--verbose -v Enable verbose console logs | ||
--generate-dataset -g Generate a fingerprint dataset by | ||
guiding the user through a sequence | ||
of finger captures and saving to the | ||
PC. | ||
NOTE: With this option, | ||
--no-inference is automatically | ||
enabled | ||
--samples-per-finger -c INTEGER The number of samples per finger to | ||
collect when generating the dataset | ||
[default: 5] | ||
--dataset-dir TEXT Base directory where dataset should | ||
be generated | ||
[default: None] | ||
--dump-images -d Dump the raw images from the device | ||
fingerprint reader to a directory on | ||
the local PC. | ||
--no-inference -z By default inference is executed on | ||
the device. Use --no-inference to | ||
disable inference on the device | ||
which can improve dumping throughput | ||
--app <path> By default, the | ||
fingerprint_authenticator app is | ||
automatically downloaded. | ||
This option allows for overriding | ||
with a custom built app. | ||
Alternatively, set this option to | ||
"none" to NOT program the | ||
fingerprint_authenticator app to the | ||
device. | ||
In this case, ONLY the .tflite will | ||
be programmed and the existing | ||
fingerprint_authenticator app will | ||
be re-used. | ||
[default: None] | ||
--test Run as a unit test | ||
--help Show this message and exit. | ||
--accelerator -a <name> Name of accelerator to use while executing the audio classification ML model [default: None] | ||
--port <port> Serial COM port of a locally connected embedded device. [default: None] | ||
'If omitted, then attempt to automatically determine the serial COM port | ||
--verbose -v Enable verbose console logs | ||
--generate-dataset -g Generate a fingerprint dataset by guiding the user through a sequence of finger captures and saving to the PC. | ||
NOTE: With this option, --no-inference is automatically enabled | ||
--samples-per-finger -c INTEGER The number of samples per finger to collect when generating the dataset [default: 5] | ||
--dataset-dir TEXT Base directory where dataset should be generated [default: None] | ||
--dump-images -d Dump the raw images from the device fingerprint reader to a directory on the local PC. | ||
--no-inference -z By default inference is executed on the device. Use --no-inference to disable inference on the device which can improve dumping throughput | ||
--app <path> By default, the fingerprint_authenticator app is automatically downloaded. [default: None] | ||
This option allows for overriding with a custom built app. | ||
Alternatively, set this option to "none" to NOT program the fingerprint_authenticator app to the device. | ||
In this case, ONLY the .tflite will be programmed and the existing fingerprint_authenticator app will be re-used. | ||
--test Run as a unit test | ||
--help Show this message and exit. | ||
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``` |
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