def stitched_image_labelers_ready():
"""
Checks to see if the stitched image labelers are ready. They are considered
ready if a image_stitched_labeled topic is being published for every
tracking region.
"""
regions_dict = file_tools.read_tracking_2d_regions()
number_of_regions = len(regions_dict)
number_of_labeled = len(find_topics_w_ending('image_stitched_labeled'))
if number_of_regions == number_of_labeled:
return True
else:
return False
def stitched_images_ready():
"""
Check to see if the stitched images topics are ready. There should be one
per region.
"""
regions_dict = file_tools.read_tracking_2d_regions()
num_regions = len(regions_dict)
num_stitched = get_number_of_stitched_image_topics()
num_seq_and_stitched = get_number_of_seq_and_image_stitched_topics()
if num_regions == num_stitched and num_regions == num_seq_and_stitched:
return True
else:
return False
def stitched_image_labelers_ready():
"""
Checks to see if the stitched image labelers are ready. They are considered
ready if a image_stitched_labeled topic is being published for every
tracking region.
"""
regions_dict = file_tools.read_tracking_2d_regions()
number_of_regions = len(regions_dict)
number_of_labeled = len(find_topics_w_ending('image_stitched_labeled'))
if number_of_regions == number_of_labeled:
return True
else:
return False
def stitched_images_ready():
"""
Check to see if the stitched images topics are ready. There should be one
per region.
"""
regions_dict = file_tools.read_tracking_2d_regions()
num_regions = len(regions_dict)
num_stitched = get_number_of_stitched_image_topics()
num_seq_and_stitched = get_number_of_seq_and_image_stitched_topics()
if num_regions == num_stitched and num_regions == num_seq_and_stitched:
return True
else:
return False
def three_point_tracker_synchronizers_ready():
"""
Checks to see if the three point tracker synchronizers are ready. They are
considered to be ready if the tracking_pts and image_tracking_pts topics are
being published for every tracking region.
"""
regions_dict = file_tools.read_tracking_2d_regions()
num_regions = len(regions_dict)
num_tracking_pts = sum([len(find_region_tracking_pts_topics(r)) for r in regions_dict])
num_image_tracking_pts = sum([len(find_region_image_tracking_pts_topics(r)) for r in regions_dict])
if num_regions == num_tracking_pts and num_regions == num_image_tracking_pts:
return True
else:
return False
def three_point_tracker_synchronizers_ready():
"""
Checks to see if the three point tracker synchronizers are ready. They are
considered to be ready if the tracking_pts and image_tracking_pts topics are
being published for every tracking region.
"""
regions_dict = file_tools.read_tracking_2d_regions()
num_regions = len(regions_dict)
num_tracking_pts = sum(
[len(find_region_tracking_pts_topics(r)) for r in regions_dict])
num_image_tracking_pts = sum(
[len(find_region_image_tracking_pts_topics(r)) for r in regions_dict])
if num_regions == num_tracking_pts and num_regions == num_image_tracking_pts:
return True
else:
return False
def three_point_trackers_ready():
"""
Checks to see if the three point trackers are ready. They are considered ready
if for every camera in a tracking
"""
regions_dict = file_tools.read_tracking_2d_regions()
camera_set = set()
for region, camera_list in regions_dict.iteritems():
camera_set.update(camera_list)
num_cameras = len(camera_set)
num_tracking_pts = len(find_camera_tracking_pts_topics())
num_image_tracking_pts = len(find_camera_image_tracking_pts_topics())
if num_cameras == num_tracking_pts and num_cameras == num_image_tracking_pts:
return True
else:
return False
def three_point_trackers_ready():
"""
Checks to see if the three point trackers are ready. They are considered ready
if for every camera in a tracking
"""
regions_dict = file_tools.read_tracking_2d_regions()
camera_set = set()
for region, camera_list in regions_dict.iteritems():
camera_set.update(camera_list)
num_cameras = len(camera_set)
num_tracking_pts = len(find_camera_tracking_pts_topics())
num_image_tracking_pts =len(find_camera_image_tracking_pts_topics())
if num_cameras == num_tracking_pts and num_cameras == num_image_tracking_pts:
return True
else:
return False
