Off-place frames

[pit30m]

Off-place frames

[una-dinosauria]

Just an update of what the robust estimator looks like (with relative timestamps on the y axis). I think we should be good!

[una-dinosauria]

I downloaded the metadata files for the three frames above:

# off-place
In [3]: a = np.load("035046.meta.npy", allow_pickle=True)

In [4]: a
Out[4]:
array({'sequence_counter': 66215, 'gain_db': 0.0, 'transmission_seconds': Decimal('1194377401.350424528'), 'shutter_seconds': 0.000810178, 'capture_seconds': Decimal('1194377401.333333969'), 'image_channel': '/hdcam/12_middle_front_roof_wide/image'},
      dtype=object)

# before
In [5]: a = np.load("005062.meta.npy", allow_pickle=True)

In [6]: a
Out[6]:
array({'sequence_counter': 66215, 'gain_db': 0.0, 'transmission_seconds': Decimal('1194377401.350424528'), 'shutter_seconds': 0.000810178, 'capture_seconds': Decimal('1194377401.333333969'), 'image_channel': '/hdcam/12_middle_front_roof_wide/image'},
      dtype=object)

# after
In [7]: a = np.load("005063.meta.npy", allow_pickle=True)

In [8]: a
Out[8]:
array({'sequence_counter': 66216, 'gain_db': 0.0, 'transmission_seconds': Decimal('1194377401.451511383'), 'shutter_seconds': 0.0008101790000000001, 'capture_seconds': Decimal('1194377401.433331966'), 'image_channel': '/hdcam/12_middle_front_roof_wide/image'},
      dtype=object)

It seems that, for some reason, frames 1 and 2 ended up with the exact same metadata.

[una-dinosauria]

Small update on this:

• I've made more videos and visually confirmed that using the frame name as an index results in temporally-consistent frames
• I've made a smalls script that runs RANSAC on a function where x=frame_index, and y=timestamp, and observe that a slope of 0.1 fits the data almost perfectly, save for a few outliers that do seem to have obviously wrong timestamps.
• This is good news! It means we can automatically detect frames with corrupt timestamps and interpolate their correct timestamps from a robust estimator. I'll make a detailed PR soon.