def _export_marker_detections(self):
export_slice = slice(*self.export_range)
world_indices = range(*self.export_range)
# Load the temporary marker cache created by the offline surface tracker
marker_cache = file_methods.Persistent_Dict(self.marker_cache_path)
marker_cache = marker_cache["marker_cache"][export_slice]
incomplete_marker_cache_detected = False
file_path = os.path.join(self.metrics_dir, "marker_detections.csv")
try:
with open(file_path, "w", encoding="utf-8",
newline="") as csv_file:
csv_writer = csv.writer(csv_file, delimiter=",")
csv_writer.writerow((
"world_index",
"marker_uid",
"corner_0_x",
"corner_0_y",
"corner_1_x",
"corner_1_y",
"corner_2_x",
"corner_2_y",
"corner_3_x",
"corner_3_y",
))
for world_index, serialized_markers in zip(
world_indices, marker_cache):
if serialized_markers is None:
# set flag to break from outer loop
incomplete_marker_cache_detected = True
if incomplete_marker_cache_detected:
break # outer loop
for sm in serialized_markers:
if sm is None:
# set flag to break from outer loop
incomplete_marker_cache_detected = True
break # inner loop
m = Surface_Marker.deserialize(sm)
flat_corners = [x for c in m.verts_px for x in c[0]]
assert len(flat_corners) == 8 # sanity check
csv_writer.writerow((
world_index,
m.uid,
*flat_corners,
))
finally:
if incomplete_marker_cache_detected:
logger.error(
"Marker detection not finished. No data will be exported.")
# Delete incomplete marker cache export file
os.remove(file_path)
# Delete the temporary marker cache created by the offline surface tracker
os.remove(self.marker_cache_path)
self.marker_cache_path = None
def _init_marker_cache(self):
previous_cache = file_methods.Persistent_Dict(
os.path.join(self.g_pool.rec_dir, "square_marker_cache")
)
version = previous_cache.get("version", 0)
cache = previous_cache.get("marker_cache_unfiltered", None)
if cache is None:
self._recalculate_marker_cache()
elif version != self.MARKER_CACHE_VERSION:
logger.debug("Marker cache version missmatch. Rebuilding marker cache.")
self.inverted_markers = previous_cache.get("inverted_markers", False)
self._recalculate_marker_cache()
else:
marker_cache_unfiltered = []
for markers in cache:
# Loaded markers are either False, [] or a list of dictionaries. We
# need to convert the dictionaries into Square_Marker_Detection objects.
if markers:
markers = [
Square_Marker_Detection(*args) if args else None
for args in markers
]
marker_cache_unfiltered.append(markers)
self._recalculate_marker_cache(previous_state=marker_cache_unfiltered)
self.inverted_markers = previous_cache.get("inverted_markers", False)
logger.debug("Restored previous marker cache.")
def _add_surfaces_from_file(self):
surface_definitions = file_methods.Persistent_Dict(
os.path.join(self._save_dir, "surface_definitions")
)
for init_dict in surface_definitions.get("surfaces", []):
self.add_surface(init_dict)
def _init_marker_cache(self):
previous_cache_config = file_methods.Persistent_Dict(
os.path.join(self.g_pool.rec_dir, "square_marker_cache"))
version = previous_cache_config.get("version", 0)
previous_params = self._cache_relevant_params_from_cache(
previous_cache_config)
current_params = self._cache_relevant_params_from_controller()
if previous_params is None:
self._recalculate_marker_cache(parameters=current_params)
elif version != self.MARKER_CACHE_VERSION:
logger.debug(
"Marker cache version missmatch. Rebuilding marker cache.")
self._recalculate_marker_cache(parameters=current_params)
else:
marker_cache_unfiltered = []
for markers in previous_cache_config["marker_cache_unfiltered"]:
# Loaded markers are either False, [] or a list of dictionaries. We
# need to convert the dictionaries into Surface_Marker objects.
if markers:
markers = [
Surface_Marker.deserialize(args) if args else None
for args in markers
]
marker_cache_unfiltered.append(markers)
self._recalculate_marker_cache(
parameters=previous_params,
previous_state=marker_cache_unfiltered)
logger.debug("Restored previous marker cache.")
def save_surface_definitions_to_file(self):
surface_definitions = file_methods.Persistent_Dict(
os.path.join(self._save_dir, "surface_definitions")
)
surface_definitions["surfaces"] = [
surface.save_to_dict() for surface in self.surfaces if surface.defined
]
surface_definitions.save()
def _save_marker_cache(self):
marker_cache_file = file_methods.Persistent_Dict(
os.path.join(self.g_pool.rec_dir, "square_marker_cache"))
marker_cache_file["marker_cache_unfiltered"] = list(
self.marker_cache_unfiltered)
marker_cache_file["version"] = self.MARKER_CACHE_VERSION
marker_cache_file["inverted_markers"] = self.inverted_markers
marker_cache_file.save()
def _add_surfaces_from_file(self):
surface_definitions = file_methods.Persistent_Dict(
os.path.join(self._save_dir, "surface_definitions"))
for init_dict in surface_definitions.get("surfaces", []):
saved_version = init_dict.get("version", None)
if saved_version == self.Surface_Class.version:
self.add_surface(init_dict)
def _save_marker_cache(self):
marker_cache_file = file_methods.Persistent_Dict(
os.path.join(self.g_pool.rec_dir, "square_marker_cache"))
marker_cache_file["marker_cache_unfiltered"] = list(
self.marker_cache_unfiltered)
marker_cache_file["version"] = self.MARKER_CACHE_VERSION
current_config = self._cache_relevant_params_from_controller()
marker_cache_file["inverted_markers"] = current_config.inverted_markers
marker_cache_file["quad_decimate"] = current_config.quad_decimate
marker_cache_file["sharpening"] = current_config.sharpening
marker_cache_file.save()
def _export_marker_detections(self):
# Load the temporary marker cache created by the offline surface tracker
marker_cache = file_methods.Persistent_Dict(self.marker_cache_path)
marker_cache = marker_cache["marker_cache"]
try:
file_path = os.path.join(self.metrics_dir, "marker_detections.csv")
with open(file_path, "w", encoding="utf-8", newline="") as csv_file:
csv_writer = csv.writer(csv_file, delimiter=",")
csv_writer.writerow(
(
"world_index",
"marker_uid",
"corner_0_x",
"corner_0_y",
"corner_1_x",
"corner_1_y",
"corner_2_x",
"corner_2_y",
"corner_3_x",
"corner_3_y",
)
)
for idx, serialized_markers in enumerate(marker_cache):
for m in map(Surface_Marker.deserialize, serialized_markers):
flat_corners = [x for c in m.verts_px for x in c[0]]
assert len(flat_corners) == 8 # sanity check
csv_writer.writerow(
(
idx,
m.uid,
*flat_corners,
)
)
finally:
# Delete the temporary marker cache created by the offline surface tracker
os.remove(self.marker_cache_path)
self.marker_cache_path = None
def make_update():
surface_definitions_path = os.path.join(rec_dir, "surface_definitions")
if not os.path.exists(surface_definitions_path):
return
surface_definitions_dict = fm.Persistent_Dict(surface_definitions_path)
surface_definitions_backup_path = os.path.join(
rec_dir, "surface_definitions_deprecated"
)
os.rename(surface_definitions_path, surface_definitions_backup_path)
intrinsics_path = os.path.join(rec_dir, "world.intrinsics")
if not os.path.exists(intrinsics_path):
logger.warning(
"Loading surface definitions failed: The data format of the "
"surface definitions in this recording "
"is too old and is no longer supported!"
)
return
valid_ext = (".mp4", ".mkv", ".avi", ".h264", ".mjpeg")
existing_videos = [
f
for f in glob.glob(os.path.join(rec_dir, "world.*"))
if os.path.splitext(f)[1] in valid_ext
]
if not existing_videos:
return
world_video_path = existing_videos[0]
world_video = av.open(world_video_path)
f = world_video.streams.video[0].format
resolution = f.width, f.height
intrinsics = cm.load_intrinsics(rec_dir, "world", resolution)
DEPRECATED_SQUARE_MARKER_KEY = "realtime_square_marker_surfaces"
if DEPRECATED_SQUARE_MARKER_KEY not in surface_definitions_dict:
return
surfaces_definitions_old = surface_definitions_dict[
DEPRECATED_SQUARE_MARKER_KEY
]
surfaces_definitions_new = []
for surface_def_old in surfaces_definitions_old:
surface_def_new = {}
surface_def_new["deprecated"] = True
surface_def_new["name"] = surface_def_old["name"]
surface_def_new["real_world_size"] = surface_def_old["real_world_size"]
surface_def_new["build_up_status"] = 1.0
reg_markers = []
registered_markers_dist = []
for id, verts in surface_def_old["markers"].items():
reg_marker_dist = {"id": id, "verts_uv": verts}
registered_markers_dist.append(reg_marker_dist)
verts_undist = undistort_vertices(verts, intrinsics)
reg_marker = {"id": id, "verts_uv": verts_undist}
reg_markers.append(reg_marker)
surface_def_new["registered_markers_dist"] = registered_markers_dist
surface_def_new["reg_markers"] = reg_markers
surfaces_definitions_new.append(surface_def_new)
surface_definitions_dict_new = fm.Persistent_Dict(surface_definitions_path)
surface_definitions_dict_new["surfaces"] = surfaces_definitions_new
surface_definitions_dict_new.save()
def normalize(pos, width, height, flip_y=False):
"""
normalize return as float
"""
x = pos[0]
y = pos[1]
x /= float(width)
y /= float(height)
if flip_y:
return x, 1 - y
return x, y
if __name__ == '__main__':
path = 'D:/BlindPursuit/pupil/10/000/'
vid_path = path + "world.mp4"
marker_cache = file_methods.Persistent_Dict(path + 'square_marker_cache')
marker_cache['version'] = 2
markers = marker_positions('sdcalib.rmap.full.camera.pickle',
vid_path,
path + 'markers_new.npy',
path,
visualize=False)
marker_cache['marker_cache'] = markers
marker_cache['inverted_markers'] = False
marker_cache.close()
def on_notify(self, notification):
super().on_notify(notification)
if notification[
"subject"] == "surface_tracker.marker_detection_params_changed":
current_params = self._cache_relevant_params_from_controller()
self._recalculate_marker_cache(parameters=current_params)
elif notification[
"subject"] == "surface_tracker.marker_min_perimeter_changed":
marker_type = self.marker_detector.marker_detector_mode.marker_type
if marker_type == MarkerType.SQUARE_MARKER:
self.marker_cache = self._filter_marker_cache(
self.marker_cache_unfiltered)
for surface in self.surfaces:
surface.location_cache = None
elif notification[
"subject"] == "surface_tracker.heatmap_params_changed":
for surface in self.surfaces:
if surface.name == notification["name"]:
self._heatmap_update_requests.add(surface)
surface.within_surface_heatmap = surface.get_placeholder_heatmap(
)
break
self._fill_gaze_on_surf_buffer()
elif notification["subject"].startswith(
"seek_control.trim_indices_changed"):
for surface in self.surfaces:
surface.within_surface_heatmap = surface.get_placeholder_heatmap(
)
self._heatmap_update_requests.add(surface)
self._fill_gaze_on_surf_buffer()
elif notification["subject"] == "surface_tracker.surfaces_changed":
for surface in self.surfaces:
if surface.name == notification["name"]:
surface.location_cache = None
surface.within_surface_heatmap = surface.get_placeholder_heatmap(
)
self._heatmap_update_requests.add(surface)
break
elif notification["subject"] == "should_export":
if self.cache_filler is not None:
logger.error(
"Marker detection not finished. No data will be exported.")
return
if self.gaze_on_surf_buffer_filler is not None:
logger.error(
"Surface gaze mapping not finished. No data will be exported."
)
return
# Create new marker cache temporary file
# Backgroud exporter is responsible of removing the temporary file when finished
file_handle, marker_cache_path = tempfile.mkstemp()
os.close(file_handle) # https://bugs.python.org/issue42830
# Save marker cache into the new temporary file
temp_marker_cache = file_methods.Persistent_Dict(marker_cache_path)
temp_marker_cache["marker_cache"] = self.marker_cache
temp_marker_cache.save()
proxy = background_tasks.get_export_proxy(
notification["export_dir"],
notification["range"],
self.surfaces,
self.g_pool.timestamps,
self.g_pool.gaze_positions,
self.g_pool.fixations,
self.camera_model,
marker_cache_path,
mp_context,
)
self.export_proxies.add(proxy)
elif (notification["subject"] ==
"surface_tracker_offline._should_fill_gaze_on_surf_buffer"):
self._fill_gaze_on_surf_buffer()