Scale birdseye layout up to max size after it has been calculated (#6825)

* Scale layout up to max size after it has been calculated

* Limit portrait cameras to taking up 2 rows

* Fix bug

* Fix birdsye not removing cameras once objects are no longer visible

* Fix lint
This commit is contained in:
Nicolas Mowen 2023-07-02 06:45:45 -06:00 committed by GitHub
parent c25367221e
commit 83edf9574e
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@ -276,10 +276,157 @@ class BirdsEyeFrameManager:
def update_frame(self):
"""Update to a new frame for birdseye."""
# determine how many cameras are tracking objects within the last 30 seconds
active_cameras = set(
[
cam
for cam, cam_data in self.cameras.items()
if cam_data["last_active_frame"] > 0
and cam_data["current_frame"] - cam_data["last_active_frame"] < 30
]
)
# if there are no active cameras
if len(active_cameras) == 0:
# if the layout is already cleared
if len(self.camera_layout) == 0:
return False
# if the layout needs to be cleared
else:
self.camera_layout = []
self.active_cameras = set()
self.clear_frame()
return True
# check if we need to reset the layout because there is a different number of cameras
reset_layout = len(self.active_cameras) - len(active_cameras) != 0
# reset the layout if it needs to be different
if reset_layout:
logger.debug("Added new cameras, resetting layout...")
self.clear_frame()
self.active_cameras = active_cameras
# this also converts added_cameras from a set to a list since we need
# to pop elements in order
active_cameras_to_add = sorted(
active_cameras,
# sort cameras by order and by name if the order is the same
key=lambda active_camera: (
self.config.cameras[active_camera].birdseye.order,
active_camera,
),
)
canvas_width = self.config.birdseye.width
canvas_height = self.config.birdseye.height
if len(active_cameras) == 1:
# show single camera as fullscreen
camera = active_cameras_to_add[0]
camera_dims = self.cameras[camera]["dimensions"].copy()
scaled_width = int(canvas_height * camera_dims[0] / camera_dims[1])
coefficient = (
1 if scaled_width <= canvas_width else canvas_width / scaled_width
)
self.camera_layout = [
[
(
camera,
(
0,
0,
int(scaled_width * coefficient),
int(canvas_height * coefficient),
),
)
]
]
else:
# calculate optimal layout
coefficient = 2
calculating = True
# decrease scaling coefficient until height of all cameras can fit into the birdseye canvas
while calculating:
if self.stop_event.is_set():
return
layout_candidate = self.calculate_layout(
(canvas_width, canvas_height),
active_cameras_to_add,
coefficient,
)
if not layout_candidate:
if coefficient < 10:
coefficient += 1
continue
else:
logger.error("Error finding appropriate birdseye layout")
return
calculating = False
self.camera_layout = layout_candidate
for row in self.camera_layout:
for position in row:
self.copy_to_position(
position[1], position[0], self.cameras[position[0]]["current_frame"]
)
return True
def calculate_layout(
canvas, cameras_to_add: list[str], coefficient
self, canvas, cameras_to_add: list[str], coefficient
) -> tuple[any]:
"""Calculate the optimal layout for 2+ cameras."""
def map_layout(row_height: int):
"""Map the calculated layout."""
candidate_layout = []
starting_x = 0
x = 0
max_width = 0
y = 0
for row in camera_layout:
final_row = []
max_width = max(max_width, x)
x = starting_x
for cameras in row:
camera_dims = self.cameras[cameras[0]]["dimensions"].copy()
if camera_dims[1] > camera_dims[0]:
scaled_height = int(row_height * 2)
scaled_width = int(
scaled_height * camera_dims[0] / camera_dims[1]
)
starting_x = scaled_width
else:
scaled_height = row_height
scaled_width = int(
scaled_height * camera_dims[0] / camera_dims[1]
)
# layout is too large
if (
x + scaled_width > canvas_width
or y + scaled_height > canvas_height
):
return 0, 0, None
final_row.append((cameras[0], (x, y, scaled_width, scaled_height)))
x += scaled_width
y += row_height
candidate_layout.append(final_row)
return max_width, y, candidate_layout
canvas_width = canvas[0]
canvas_height = canvas[1]
camera_layout: list[list[any]] = []
camera_layout.append([])
canvas_gcd = math.gcd(canvas[0], canvas[1])
@ -353,145 +500,22 @@ class BirdsEyeFrameManager:
return None
row_height = int(canvas_height / coefficient)
total_width, total_height, standard_candidate_layout = map_layout(row_height)
final_camera_layout = []
starting_x = 0
y = 0
# layout can't be optimized more
if total_width / canvas_width >= 0.99:
return standard_candidate_layout
for row in camera_layout:
final_row = []
x = starting_x
for cameras in row:
camera_dims = self.cameras[cameras[0]]["dimensions"].copy()
if camera_dims[1] > camera_dims[0]:
scaled_height = int(row_height * coefficient)
scaled_width = int(
scaled_height * camera_dims[0] / camera_dims[1]
scale_up_percent = min(
1 - (total_width / canvas_width), 1 - (total_height / canvas_height)
)
starting_x = scaled_width
row_height = int(row_height * (1 + round(scale_up_percent, 1)))
_, _, scaled_layout = map_layout(row_height)
if scaled_layout:
return scaled_layout
else:
scaled_height = row_height
scaled_width = int(
scaled_height * camera_dims[0] / camera_dims[1]
)
if (
x + scaled_width > canvas_width
or y + scaled_height > canvas_height
):
return None
final_row.append((cameras[0], (x, y, scaled_width, scaled_height)))
x += scaled_width
y += row_height
final_camera_layout.append(final_row)
return final_camera_layout
# determine how many cameras are tracking objects within the last 30 seconds
active_cameras = set(
[
cam
for cam, cam_data in self.cameras.items()
if cam_data["last_active_frame"] > 0
and cam_data["current_frame"] - cam_data["last_active_frame"] < 30
]
)
# if there are no active cameras
if len(active_cameras) == 0:
# if the layout is already cleared
if len(self.camera_layout) == 0:
return False
# if the layout needs to be cleared
else:
self.camera_layout = []
self.active_cameras = set()
self.clear_frame()
return True
# check if we need to reset the layout because there are new cameras to add
reset_layout = (
True if len(active_cameras.difference(self.active_cameras)) > 0 else False
)
# reset the layout if it needs to be different
if reset_layout:
logger.debug("Added new cameras, resetting layout...")
self.clear_frame()
self.active_cameras = active_cameras
# this also converts added_cameras from a set to a list since we need
# to pop elements in order
active_cameras_to_add = sorted(
active_cameras,
# sort cameras by order and by name if the order is the same
key=lambda active_camera: (
self.config.cameras[active_camera].birdseye.order,
active_camera,
),
)
canvas_width = self.config.birdseye.width
canvas_height = self.config.birdseye.height
if len(active_cameras) == 1:
# show single camera as fullscreen
camera = active_cameras_to_add[0]
camera_dims = self.cameras[camera]["dimensions"].copy()
scaled_width = int(canvas_height * camera_dims[0] / camera_dims[1])
coefficient = (
1 if scaled_width <= canvas_width else canvas_width / scaled_width
)
self.camera_layout = [
[
(
camera,
(
0,
0,
int(scaled_width * coefficient),
int(canvas_height * coefficient),
),
)
]
]
else:
# calculate optimal layout
coefficient = 2
calculating = True
# decrease scaling coefficient until height of all cameras can fit into the birdseye canvas
while calculating:
if self.stop_event.is_set():
return
layout_candidate = calculate_layout(
(canvas_width, canvas_height),
active_cameras_to_add,
coefficient,
)
if not layout_candidate:
if coefficient < 10:
coefficient += 1
continue
else:
logger.error("Error finding appropriate birdseye layout")
return
calculating = False
self.camera_layout = layout_candidate
for row in self.camera_layout:
for position in row:
self.copy_to_position(
position[1], position[0], self.cameras[position[0]]["current_frame"]
)
return True
return standard_candidate_layout
def update(self, camera, object_count, motion_count, frame_time, frame) -> bool:
# don't process if birdseye is disabled for this camera