coordinates = []
regions = np.zeros((FRAMEN, frames[0].shape[0], frames[0].shape[1]),
dtype=np.uint8)
point_est_track_data = []
for fi, frame in enumerate(frames):
abs_frame_index = frame_pos[fi]
coordinates.append(skimage.feature.peak_local_max(frame,
min_distance=30,
threshold_abs=220))
frame_regions = filters.label_regions(frame, mark_min=120, mark_max=220)
regions[fi] = frame_regions
point_est_track_data.append(dettrack.point_est_track2(frame, env, eo_params))
pickle.dump({'frame_pos' : frame_pos,
'coordinates' : coordinates,
'regions' : regions,
'eo_params' : eo_params,
'point_est_track' : point_est_track_data,
'truth' : truth,
'missing' : missing,
'truth_interp' : truth_interp,
'derived_truth' : derived_truth,
'epoch' : epoch,
'frame_start' : frame_start},
open(outfile, 'w'))
def img_to_points(img):
return dettrack.point_est_track2(img, env, eoparams)
def img_to_points(img):
return dettrack.point_est_track2(img, env, eoparams)
point_est_track_data = []
for fi, frame in enumerate(frames):
abs_frame_index = frame_pos[fi]
coordinates.append(
skimage.feature.peak_local_max(frame,
min_distance=30,
threshold_abs=220))
frame_regions = filters.label_regions(frame,
mark_min=120,
mark_max=220)
regions[fi] = frame_regions
point_est_track_data.append(
dettrack.point_est_track2(frame, env, eo_params))
pickle.dump(
{
'frame_pos': frame_pos,
'coordinates': coordinates,
'regions': regions,
'eo_params': eo_params,
'point_est_track': point_est_track_data,
'truth': truth,
'missing': missing,
'truth_interp': truth_interp,
'derived_truth': derived_truth,
'epoch': epoch,
'frame_start': frame_start
}, open(outfile, 'w'))
