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[trackingdata] add fps, some docs, change interpolate

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Jan Grewe 2022-09-12 16:56:43 +02:00
parent 6f9633a74e
commit 3e1cbe4b9b
1 changed files with 20 additions and 13 deletions
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31
etrack/tracking_data.py
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@ -23,6 +23,7 @@ class TrackingData(object):
self._threshold = quality_threshold
self._position_limits = position_limits
self._time_limits = temporal_limits
self._fps = fps
@property
def original_positions(self):
@ -32,16 +33,17 @@ class TrackingData(object):
def original_quality(self):
return self._orgquality
def interpolate(self, store=True, min_count=10):
def interpolate(self, start_time=None, end_time=None, min_count=5):
if len(self._x) < min_count:
print(f"{self._node} data has less than {min_count} data points with sufficient quality!")
return None
x = np.interp(self._orgtime, self._time, self._x)
y = np.interp(self._orgtime, self._time, self._y)
if store:
self._x = x
self._y = y
self._time = self._orgtime.copy()
print(f"{self._node} data has less than {min_count} data points with sufficient quality ({len(self._x)})!")
return None, None, None
start = self._time[0] if start_time is None else start_time
end = self._time[-1] if end_time is None else end_time
time = np.arange(start, end, 1./self._fps)
x = np.interp(time, self._time, self._x)
y = np.interp(time, self._time, self._y)
return x, y, time
@property
def quality_threshold(self):
@ -96,9 +98,14 @@ class TrackingData(object):
raise ValueError(f"The new_limits vector must be a 2-tuple of the form (start, end). ")
self._time_limits = new_limits
def filter_tracks(self):
"""Applies the filters to the tracking data. All filters will be applied squentially, i.e. an AND connection.
def filter_tracks(self, align_time=True):
"""Applies the filters to the tracking data. All filters will be applied sequentially, i.e. an AND connection.
To change the filter settings use the setters for 'quality_threshold', 'temporal_limits', 'position_limits'. Setting them to None disables the respective filter discarding the setting.
Parameters
----------
align_time: bool
Controls whether the time vector is aligned to the first time point at which the agent is within the positional_limits. Default = True
"""
self._x = self._orgx.copy()
self._y = self._orgy.copy()
@ -112,7 +119,7 @@ class TrackingData(object):
(self._y >= self.position_limits[1]) & (self._y < y_max))
self._x = self._x[indices]
self._y = self._y[indices]
self._time = self._time[indices]
self._time = self._time[indices] - self._time[0] if align_time else 0.0
self._quality = self._quality[indices]
if self.temporal_limits is not None: