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License: MIT License
Python toolbox to facilitate preprocessing of scene fixation data for GLMM analysis.
License: MIT License
Dear gridfix developers,
I have met a problem when I ran the demo script from your tutorial.
# Determine fixated and non-fixated grid cells
fix_on_image = grid.fixated(subj_fix)
print(fix_on_image)# Number of returned values - this should match number of grid cells
print(len(fix_on_image))
The output showed the error as follow:
KeyError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
3360 try:
-> 3361 return self._engine.get_loc(casted_key)
3362 except KeyError as err:5 frames
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: None
The above exception was the direct cause of the following exception:
KeyError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
3361 return self._engine.get_loc(casted_key)
3362 except KeyError as err:
-> 3363 raise KeyError(key) from err
3364
3365 if is_scalar(key) and isna(key) and not self.hasnans:KeyError: None
Please help me fix it.
Best regards,
Jian Li
Hi Gridfix team, thanks for such an amazing work on this toolbox.
This is not necessarily an issue, more like of a question. Is there currently a way to deal efficiently with videos, or this will require parsing this to frames first and then work with work with frames in the toolbox?
Thank you,
Best wishes,
Helio
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