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fix: ensure timestamp is drawn above mask

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Paul Armstrong 2021-01-11 09:09:43 -08:00 committed by Blake Blackshear
parent 4443abbc49
commit 905c361d52
1 changed files with 39 additions and 39 deletions
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78
frigate/object_processing.py
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@ -54,11 +54,11 @@ def is_better_thumbnail(current_thumb, new_obj, frame_shape) -> bool:
# if the score is better by more than 5%
if new_obj['score'] > current_thumb['score']+.05:
return True
# if the area is 10% larger
if new_obj['area'] > current_thumb['area']*1.1:
return True
return False
class TrackedObject():
@ -97,7 +97,7 @@ class TrackedObject():
if len(scores) < 3:
scores += [0.0]*(3 - len(scores))
return median(scores)
def update(self, current_frame_time, obj_data):
significant_update = False
self.obj_data.update(obj_data)
@ -119,7 +119,7 @@ class TrackedObject():
if not self.false_positive:
# determine if this frame is a better thumbnail
if (
self.thumbnail_data is None
self.thumbnail_data is None
or is_better_thumbnail(self.thumbnail_data, self.obj_data, self.camera_config.frame_shape)
):
self.thumbnail_data = {
@ -130,7 +130,7 @@ class TrackedObject():
'score': self.obj_data['score']
}
significant_update = True
# check zones
current_zones = []
bottom_center = (self.obj_data['centroid'][0], self.obj_data['box'][3])
@ -143,14 +143,14 @@ class TrackedObject():
if name in self.current_zones or not zone_filtered(self, zone.filters):
current_zones.append(name)
self.entered_zones.add(name)
# if the zones changed, signal an update
if not self.false_positive and set(self.current_zones) != set(current_zones):
significant_update = True
self.current_zones = current_zones
return significant_update
def to_dict(self, include_thumbnail: bool = False):
return {
'id': self.obj_data['id'],
@ -169,11 +169,11 @@ class TrackedObject():
'entered_zones': list(self.entered_zones).copy(),
'thumbnail': base64.b64encode(self.get_jpg_bytes()).decode('utf-8') if include_thumbnail else None
}
def get_jpg_bytes(self):
if self.thumbnail_data is None or self._snapshot_jpg_time == self.thumbnail_data['frame_time']:
return self._snapshot_jpg
if not self.thumbnail_data['frame_time'] in self.frame_cache:
logger.error(f"Unable to create thumbnail for {self.obj_data['id']}")
logger.error(f"Looking for frame_time of {self.thumbnail_data['frame_time']}")
@ -188,32 +188,32 @@ class TrackedObject():
thickness = 2
color = COLOR_MAP[self.obj_data['label']]
box = self.thumbnail_data['box']
draw_box_with_label(best_frame, box[0], box[1], box[2], box[3], self.obj_data['label'],
draw_box_with_label(best_frame, box[0], box[1], box[2], box[3], self.obj_data['label'],
f"{int(self.thumbnail_data['score']*100)}% {int(self.thumbnail_data['area'])}", thickness=thickness, color=color)
if snapshot_config.crop_to_region:
box = self.thumbnail_data['box']
region = calculate_region(best_frame.shape, box[0], box[1], box[2], box[3], 1.1)
best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
if snapshot_config.height:
if snapshot_config.height:
height = snapshot_config.height
width = int(height*best_frame.shape[1]/best_frame.shape[0])
best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
if snapshot_config.show_timestamp:
time_to_show = datetime.datetime.fromtimestamp(self.thumbnail_data['frame_time']).strftime("%m/%d/%Y %H:%M:%S")
size = cv2.getTextSize(time_to_show, cv2.FONT_HERSHEY_SIMPLEX, fontScale=1, thickness=2)
text_width = size[0][0]
desired_size = max(150, 0.33*best_frame.shape[1])
font_scale = desired_size/text_width
cv2.putText(best_frame, time_to_show, (5, best_frame.shape[0]-7), cv2.FONT_HERSHEY_SIMPLEX,
cv2.putText(best_frame, time_to_show, (5, best_frame.shape[0]-7), cv2.FONT_HERSHEY_SIMPLEX,
fontScale=font_scale, color=(255, 255, 255), thickness=2)
ret, jpg = cv2.imencode('.jpg', best_frame)
if ret:
self._snapshot_jpg = jpg.tobytes()
return self._snapshot_jpg
def zone_filtered(obj: TrackedObject, object_config):
@ -226,7 +226,7 @@ def zone_filtered(obj: TrackedObject, object_config):
# detected object, don't add it to detected objects
if obj_settings.min_area > obj.obj_data['area']:
return True
# if the detected object is larger than the
# max area, don't add it to detected objects
if obj_settings.max_area < obj.obj_data['area']:
@ -235,7 +235,7 @@ def zone_filtered(obj: TrackedObject, object_config):
# if the score is lower than the threshold, skip
if obj_settings.threshold > obj.computed_score:
return True
return False
# Maintains the state of a camera
@ -263,7 +263,7 @@ class CameraState():
tracked_objects = {k: v.to_dict() for k,v in self.tracked_objects.items()}
motion_boxes = self.motion_boxes.copy()
regions = self.regions.copy()
frame_copy = cv2.cvtColor(frame_copy, cv2.COLOR_YUV2BGR_I420)
# draw on the frame
if draw_options.get('bounding_boxes'):
@ -271,7 +271,7 @@ class CameraState():
for obj in tracked_objects.values():
thickness = 2
color = COLOR_MAP[obj['label']]
if obj['frame_time'] != frame_time:
thickness = 1
color = (255,0,0)
@ -279,28 +279,28 @@ class CameraState():
# draw the bounding boxes on the frame
box = obj['box']
draw_box_with_label(frame_copy, box[0], box[1], box[2], box[3], obj['label'], f"{int(obj['score']*100)}% {int(obj['area'])}", thickness=thickness, color=color)
if draw_options.get('regions'):
for region in regions:
cv2.rectangle(frame_copy, (region[0], region[1]), (region[2], region[3]), (0,255,0), 2)
if draw_options.get('timestamp'):
time_to_show = datetime.datetime.fromtimestamp(frame_time).strftime("%m/%d/%Y %H:%M:%S")
cv2.putText(frame_copy, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
if draw_options.get('zones'):
for name, zone in self.camera_config.zones.items():
thickness = 8 if any([name in obj['current_zones'] for obj in tracked_objects.values()]) else 2
cv2.drawContours(frame_copy, [zone.contour], -1, zone.color, thickness)
if draw_options.get('mask'):
mask_overlay = np.where(self.camera_config.mask==[0])
frame_copy[mask_overlay] = [0,0,0]
if draw_options.get('motion_boxes'):
for m_box in motion_boxes:
cv2.rectangle(frame_copy, (m_box[0], m_box[1]), (m_box[2], m_box[3]), (0,0,255), 2)
if draw_options.get('timestamp'):
time_to_show = datetime.datetime.fromtimestamp(frame_time).strftime("%m/%d/%Y %H:%M:%S")
cv2.putText(frame_copy, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
return frame_copy
def finished(self, obj_id):
@ -329,7 +329,7 @@ class CameraState():
# call event handlers
for c in self.callbacks['start']:
c(self.name, new_obj, frame_time)
for id in updated_ids:
updated_obj = self.tracked_objects[id]
significant_update = updated_obj.update(frame_time, current_detections[id])
@ -342,7 +342,7 @@ class CameraState():
# call event handlers
for c in self.callbacks['update']:
c(self.name, updated_obj, frame_time)
for id in removed_ids:
# publish events to mqtt
removed_obj = self.tracked_objects[id]
@ -361,9 +361,9 @@ class CameraState():
if object_type in self.best_objects:
current_best = self.best_objects[object_type]
now = datetime.datetime.now().timestamp()
# if the object is a higher score than the current best score
# if the object is a higher score than the current best score
# or the current object is older than desired, use the new object
if (is_better_thumbnail(current_best.thumbnail_data, obj.thumbnail_data, self.camera_config.frame_shape)
if (is_better_thumbnail(current_best.thumbnail_data, obj.thumbnail_data, self.camera_config.frame_shape)
or (now - current_best.thumbnail_data['frame_time']) > self.camera_config.best_image_timeout):
self.best_objects[object_type] = obj
for c in self.callbacks['snapshot']:
@ -372,13 +372,13 @@ class CameraState():
self.best_objects[object_type] = obj
for c in self.callbacks['snapshot']:
c(self.name, self.best_objects[object_type], frame_time)
# update overall camera state for each object type
obj_counter = Counter()
for obj in self.tracked_objects.values():
if not obj.false_positive:
obj_counter[obj.obj_data['label']] += 1
# report on detected objects
for obj_name, count in obj_counter.items():
if count != self.object_counts[obj_name]:
@ -394,14 +394,14 @@ class CameraState():
c(self.name, obj_name, 0)
for c in self.callbacks['snapshot']:
c(self.name, self.best_objects[obj_name], frame_time)
# cleanup thumbnail frame cache
current_thumb_frames = set([obj.thumbnail_data['frame_time'] for obj in self.tracked_objects.values() if not obj.false_positive])
current_best_frames = set([obj.thumbnail_data['frame_time'] for obj in self.best_objects.values()])
thumb_frames_to_delete = [t for t in self.frame_cache.keys() if not t in current_thumb_frames and not t in current_best_frames]
for t in thumb_frames_to_delete:
del self.frame_cache[t]
with self.current_frame_lock:
self._current_frame = current_frame
if not self.previous_frame_id is None:
@ -436,10 +436,10 @@ class TrackedObjectProcessor(threading.Thread):
message = { 'before': obj.previous, 'after': obj.to_dict() }
self.client.publish(f"{self.topic_prefix}/events", json.dumps(message), retain=False)
self.event_queue.put(('end', camera, obj.to_dict(include_thumbnail=True)))
def snapshot(camera, obj: TrackedObject, current_frame_time):
self.client.publish(f"{self.topic_prefix}/{camera}/{obj.obj_data['label']}/snapshot", obj.get_jpg_bytes(), retain=True)
def object_status(camera, object_name, status):
self.client.publish(f"{self.topic_prefix}/{camera}/{object_name}", status, retain=False)
@ -461,7 +461,7 @@ class TrackedObjectProcessor(threading.Thread):
# }
# }
self.zone_data = defaultdict(lambda: defaultdict(lambda: {}))
def get_best(self, camera, label):
# TODO: need a lock here
camera_state = self.camera_states[camera]
@ -472,7 +472,7 @@ class TrackedObjectProcessor(threading.Thread):
return best
else:
return {}
def get_current_frame(self, camera, draw_options={}):
return self.camera_states[camera].get_current_frame(draw_options)
@ -499,7 +499,7 @@ class TrackedObjectProcessor(threading.Thread):
for obj in camera_state.tracked_objects.values():
if zone in obj.current_zones and not obj.false_positive:
obj_counter[obj.obj_data['label']] += 1
# update counts and publish status
for label in set(list(self.zone_data[zone].keys()) + list(obj_counter.keys())):
# if we have previously published a count for this zone/label