bvnayak / pds_compute_mtf Goto Github PK
View Code? Open in Web Editor NEWImplementation of Slant Edge Method for MTF in Python from PDS Image.
License: BSD 3-Clause "New" or "Revised" License
Implementation of Slant Edge Method for MTF in Python from PDS Image.
License: BSD 3-Clause "New" or "Revised" License
After selecting ROI and pressing Enter here is the output :
File "/usr/local/lib/python3.6/site-packages/matplotlib/backend_bases.py", line 1853, in key_press_event
self.callbacks.process(s, event)
File "/usr/local/lib/python3.6/site-packages/matplotlib/cbook.py", line 549, in process
proxy(*args, **kwargs)
File "/usr/local/lib/python3.6/site-packages/matplotlib/cbook.py", line 416, in __call__
return mtd(*args, **kwargs)
File "PDS_Compute_MTF.py", line 44, in event_exit_manager
PDS_Compute_MTF(self.filename, self.roi)
File "PDS_Compute_MTF.py", line 91, in __init__
z = np.polyfit(np.flipud(col_edge), row_edge, 1)
File "/usr/local/lib/python3.6/site-packages/numpy/lib/polynomial.py", line 555, in polyfit
raise TypeError("expected non-empty vector for x")
TypeError: expected non-empty vector for x```
scipy interp1d works with the data which is monotonically increasing/decreasing. No similar values should be given as an input to avoid an error. Find a way to get rid of this error.
This code fails when the data read has non-decreasing / non-increasing array elements to be interpolated. e.g. [35, 35, 50, 58, 60] or something like [65, 40, 39, 39, 39].
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