docs: Align Lists

Signed-off-by: Yifei Ding <yifeiding@protonmail.com>
This commit is contained in:
Yifei Ding 2021-10-23 11:21:46 -07:00 committed by KevinOConnor
parent 46381e03a4
commit ee04a6340a
3 changed files with 88 additions and 88 deletions

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@ -483,18 +483,18 @@ The data can be processed later by the following scripts:
of them accept one or several raw csv files as the input depending on the
mode. The graph_accelerometer.py script supports several modes of operation:
* plotting raw accelerometer data (use `-r` parameter), only 1 input is
supported;
* plotting a frequency response (no extra parameters required), if multiple
inputs are specified, the average frequency response is computed;
* comparison of the frequency response between several inputs (use `-c`
parameter); you can additionally specify which accelerometer axis to
* plotting raw accelerometer data (use `-r` parameter), only 1 input is
supported;
* plotting a frequency response (no extra parameters required), if multiple
inputs are specified, the average frequency response is computed;
* comparison of the frequency response between several inputs (use `-c`
parameter); you can additionally specify which accelerometer axis to
consider via `-a x`, `-a y` or `-a z` parameter (if none specified,
the sum of vibrations for all axes is used);
* plotting the spectrogram (use `-s` parameter), only 1 input is supported;
you can additionally specify which accelerometer axis to consider via
`-a x`, `-a y` or `-a z` parameter (if none specified, the sum of vibrations
for all axes is used).
* plotting the spectrogram (use `-s` parameter), only 1 input is supported;
you can additionally specify which accelerometer axis to consider via
`-a x`, `-a y` or `-a z` parameter (if none specified, the sum of vibrations
for all axes is used).
Note that graph_accelerometer.py script supports only the raw_data\*.csv files
and not resonances\*.csv or calibration_data\*.csv files.
@ -515,16 +515,16 @@ the CSV file if `-c output.csv` parameter is specified.
Providing several inputs to shaper_calibrate.py script can be useful if running
some advanced tuning of the input shapers, for example:
* Running `TEST_RESONANCES AXIS=X OUTPUT=raw_data` (and `Y` axis) for a single
axis twice on a bed slinger printer with the accelerometer attached to the
toolhead the first time, and the accelerometer attached to the bed the
second time in order to detect axes cross-resonances and attempt to cancel
them with input shapers.
* Running `TEST_RESONANCES AXIS=Y OUTPUT=raw_data` twice on a bed slinger with
a glass bed and a magnetic surfaces (which is lighter) to find the input
shaper parameters that work well for any print surface configuration.
* Combining the resonance data from multiple test points.
* Combining the resonance data from 2 axis (e.g. on a bed slinger printer
to configure X-axis input_shaper from both X and Y axes resonances to
cancel vibrations of the *bed* in case the nozzle 'catches' a print when
moving in X axis direction).
* Running `TEST_RESONANCES AXIS=X OUTPUT=raw_data` (and `Y` axis) for a single
axis twice on a bed slinger printer with the accelerometer attached to the
toolhead the first time, and the accelerometer attached to the bed the
second time in order to detect axes cross-resonances and attempt to cancel
them with input shapers.
* Running `TEST_RESONANCES AXIS=Y OUTPUT=raw_data` twice on a bed slinger with
a glass bed and a magnetic surfaces (which is lighter) to find the input
shaper parameters that work well for any print surface configuration.
* Combining the resonance data from multiple test points.
* Combining the resonance data from 2 axis (e.g. on a bed slinger printer
to configure X-axis input_shaper from both X and Y axes resonances to
cancel vibrations of the *bed* in case the nozzle 'catches' a print when
moving in X axis direction).