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2 Commits
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c39f0fe781 | ||
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6742a785d3 |
@@ -570,11 +570,15 @@ def belts_calibration(lognames, klipperdir="~/klipper", max_freq=200.):
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ax2 = fig.add_subplot(gs[1])
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ax2 = fig.add_subplot(gs[1])
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# Add title
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# Add title
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title_line1 = "RELATIVE BELT CALIBRATION TOOL"
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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try:
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filename = lognames[0].split('/')[-1]
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filename = lognames[0].split('/')[-1]
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dt = datetime.strptime(f"{filename.split('_')[1]} {filename.split('_')[2]}", "%Y%m%d %H%M%S")
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dt = datetime.strptime(f"{filename.split('_')[1]} {filename.split('_')[2]}", "%Y%m%d %H%M%S")
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title_line1 = "RELATIVE BELT CALIBRATION TOOL"
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title_line2 = dt.strftime('%x %X')
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title_line2 = dt.strftime('%x %X')
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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except:
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print("Warning: CSV filenames look to be different than expected (%s , %s)" % (lognames[0], lognames[1]))
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title_line2 = lognames[0].split('/')[-1] + " / " + lognames[1].split('/')[-1]
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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# Plot the graphs
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# Plot the graphs
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@@ -311,11 +311,15 @@ def shaper_calibration(lognames, klipperdir="~/klipper", max_smoothing=None, max
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ax2 = fig.add_subplot(gs[1])
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ax2 = fig.add_subplot(gs[1])
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# Add title
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# Add title
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filename_parts = (lognames[0].split('/')[-1]).split('_')
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dt = datetime.strptime(f"{filename_parts[3]} {filename_parts[4].split('.')[0]}", "%Y%m%d %H%M%S")
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title_line1 = "INPUT SHAPER CALIBRATION TOOL"
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title_line1 = "INPUT SHAPER CALIBRATION TOOL"
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title_line2 = dt.strftime('%x %X') + ' -- ' + filename_parts[2].upper() + ' axis'
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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try:
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filename_parts = (lognames[0].split('/')[-1]).split('_')
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dt = datetime.strptime(f"{filename_parts[1]} {filename_parts[2]}", "%Y%m%d %H%M%S")
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title_line2 = dt.strftime('%x %X') + ' -- ' + filename_parts[3].upper().split('.')[0] + ' axis'
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except:
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print("Warning: CSV filename look to be different than expected (%s)" % (lognames[0]))
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title_line2 = lognames[0].split('/')[-1]
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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# Plot the graphs
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# Plot the graphs
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@@ -348,7 +348,7 @@ def setup_klipper_import(kdir):
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shaper_calibrate = importlib.import_module('.shaper_calibrate', 'extras')
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shaper_calibrate = importlib.import_module('.shaper_calibrate', 'extras')
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def vibrations_calibration(lognames, klipperdir="~/klipper", axisname=None, max_freq=200., remove=0):
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def vibrations_calibration(lognames, klipperdir="~/klipper", axisname=None, max_freq=1000., remove=0):
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setup_klipper_import(klipperdir)
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setup_klipper_import(klipperdir)
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# Parse the raw data and get them ready for analysis
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# Parse the raw data and get them ready for analysis
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@@ -368,11 +368,15 @@ def vibrations_calibration(lognames, klipperdir="~/klipper", axisname=None, max_
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ax1 = fig.add_subplot(gs[0])
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ax1 = fig.add_subplot(gs[0])
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ax2 = fig.add_subplot(gs[1])
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ax2 = fig.add_subplot(gs[1])
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title_line1 = "VIBRATIONS MEASUREMENT TOOL"
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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try:
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filename_parts = (lognames[0].split('/')[-1]).split('_')
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filename_parts = (lognames[0].split('/')[-1]).split('_')
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dt = datetime.strptime(f"{filename_parts[1]} {filename_parts[2].split('-')[0]}", "%Y%m%d %H%M%S")
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dt = datetime.strptime(f"{filename_parts[1]} {filename_parts[2].split('-')[0]}", "%Y%m%d %H%M%S")
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title_line1 = "VIBRATIONS MEASUREMENT TOOL"
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title_line2 = dt.strftime('%x %X') + ' -- ' + axisname.upper() + ' axis'
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title_line2 = dt.strftime('%x %X') + ' -- ' + axisname.upper() + ' axis'
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fig.text(0.12, 0.965, title_line1, ha='left', va='bottom', fontsize=20, color=KLIPPAIN_COLORS['purple'], weight='bold')
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except:
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print("Warning: CSV filename look to be different than expected (%s)" % (lognames[0]))
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title_line2 = lognames[0].split('/')[-1]
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
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# Remove speeds duplicates and graph the processed datas
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# Remove speeds duplicates and graph the processed datas
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@@ -40,11 +40,15 @@ For those not using the full [Klippain](https://github.com/Frix-x/klippain), fol
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install_script: install.sh
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install_script: install.sh
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```
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```
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> **Note**:
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>
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> If already using my old IS workflow scripts, please remove everything before installing this new module. This include the macros, the Python scripts, the `plot_graph.sh` and the `[gcode_shell_command plot_graph]` section.
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## Usage
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## Usage
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Ensure your machine is homed, then invoke one of the following macros as needed:
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Ensure your machine is homed, then invoke one of the following macros as needed:
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- `BELTS_SHAPER_CALIBRATION` for belt resonance graphs, useful for verifying belt tension and differential belt paths behavior.
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- `BELTS_SHAPER_CALIBRATION` for belt resonance graphs, useful for verifying belt tension and differential belt paths behavior.
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- `AXES_SHAPER_CALIBRATION` for input shaper graphs to mitigate ringing/ghosting by tuning Klipper's `[input_shaper]` system.
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- `AXES_SHAPER_CALIBRATION` for input shaper graphs to mitigate ringing/ghosting by tuning Klipper's input shaper system.
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- `VIBRATIONS_CALIBRATION` for machine vibration graphs to optimize your slicer speed profiles.
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- `VIBRATIONS_CALIBRATION` for machine vibration graphs to optimize your slicer speed profiles.
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- `EXCITATE_AXIS_AT_FREQ` to sustain a specific excitation frequency, useful to let you inspect and find out what is resonating.
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- `EXCITATE_AXIS_AT_FREQ` to sustain a specific excitation frequency, useful to let you inspect and find out what is resonating.
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