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https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
only draw during debug
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parent
51251b9fb0
commit
76befc1249
@ -426,8 +426,6 @@ def main():
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frame = object_processor.get_current_frame(camera_name)
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frame = object_processor.get_current_frame(camera_name)
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if frame is None:
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if frame is None:
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frame = np.zeros((720,1280,3), np.uint8)
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frame = np.zeros((720,1280,3), np.uint8)
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frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
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height = int(request.args.get('h', str(frame.shape[0])))
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height = int(request.args.get('h', str(frame.shape[0])))
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width = int(height*frame.shape[1]/frame.shape[0])
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width = int(height*frame.shape[1]/frame.shape[0])
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@ -445,12 +443,10 @@ def main():
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while True:
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while True:
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# max out at specified FPS
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# max out at specified FPS
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time.sleep(1/fps)
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time.sleep(1/fps)
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frame = object_processor.get_current_frame(camera_name)
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frame = object_processor.get_current_frame(camera_name, draw=True)
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if frame is None:
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if frame is None:
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frame = np.zeros((height,int(height*16/9),3), np.uint8)
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frame = np.zeros((height,int(height*16/9),3), np.uint8)
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frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
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width = int(height*frame.shape[1]/frame.shape[0])
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width = int(height*frame.shape[1]/frame.shape[0])
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frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_LINEAR)
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frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_LINEAR)
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@ -64,9 +64,41 @@ class CameraState():
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self.previous_frame_id = None
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self.previous_frame_id = None
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self.callbacks = defaultdict(lambda: [])
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self.callbacks = defaultdict(lambda: [])
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def get_current_frame(self):
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def get_current_frame(self, draw=False):
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with self.current_frame_lock:
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with self.current_frame_lock:
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return np.copy(self._current_frame)
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frame_copy = np.copy(self._current_frame)
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frame_time = self.current_frame_time
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tracked_objects = copy.deepcopy(self.tracked_objects)
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frame_copy = cv2.cvtColor(frame_copy, cv2.COLOR_YUV2BGR_I420)
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# draw on the frame
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if draw:
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# draw the bounding boxes on the frame
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for obj in tracked_objects.values():
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thickness = 2
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color = COLOR_MAP[obj['label']]
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if obj['frame_time'] != frame_time:
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thickness = 1
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color = (255,0,0)
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# draw the bounding boxes on the frame
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box = obj['box']
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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)
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# draw the regions on the frame
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region = obj['region']
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cv2.rectangle(frame_copy, (region[0], region[1]), (region[2], region[3]), (0,255,0), 1)
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if self.config['snapshots']['show_timestamp']:
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time_to_show = datetime.datetime.fromtimestamp(frame_time).strftime("%m/%d/%Y %H:%M:%S")
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cv2.putText(frame_copy, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
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if self.config['snapshots']['draw_zones']:
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for name, zone in self.config['zones'].items():
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thickness = 8 if any([name in obj['zones'] for obj in tracked_objects.values()]) else 2
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cv2.drawContours(frame_copy, [zone['contour']], -1, zone['color'], thickness)
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return frame_copy
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def false_positive(self, obj):
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def false_positive(self, obj):
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# once a true positive, always a true positive
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# once a true positive, always a true positive
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@ -92,11 +124,7 @@ class CameraState():
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self.current_frame_time = frame_time
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self.current_frame_time = frame_time
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# get the new frame and delete the old frame
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# get the new frame and delete the old frame
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frame_id = f"{self.name}{frame_time}"
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frame_id = f"{self.name}{frame_time}"
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with self.current_frame_lock:
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current_frame = self.frame_manager.get(frame_id, (self.config['frame_shape'][0]*3//2, self.config['frame_shape'][1]))
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self._current_frame = self.frame_manager.get(frame_id, (self.config['frame_shape'][0]*3//2, self.config['frame_shape'][1]))
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if not self.previous_frame_id is None:
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self.frame_manager.delete(self.previous_frame_id)
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self.previous_frame_id = frame_id
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current_ids = tracked_objects.keys()
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current_ids = tracked_objects.keys()
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previous_ids = self.tracked_objects.keys()
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previous_ids = self.tracked_objects.keys()
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@ -158,33 +186,6 @@ class CameraState():
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and not zone_filtered(obj, zone.get('filters', {}))):
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and not zone_filtered(obj, zone.get('filters', {}))):
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current_zones.append(name)
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current_zones.append(name)
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obj['zones'] = current_zones
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obj['zones'] = current_zones
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# draw on the frame
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if not self._current_frame is None:
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# draw the bounding boxes on the frame
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for obj in self.tracked_objects.values():
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thickness = 2
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color = COLOR_MAP[obj['label']]
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if obj['frame_time'] != frame_time:
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thickness = 1
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color = (255,0,0)
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# draw the bounding boxes on the frame
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box = obj['box']
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draw_box_with_label(self._current_frame, box[0], box[1], box[2], box[3], obj['label'], f"{int(obj['score']*100)}% {int(obj['area'])}", thickness=thickness, color=color)
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# draw the regions on the frame
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region = obj['region']
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cv2.rectangle(self._current_frame, (region[0], region[1]), (region[2], region[3]), (0,255,0), 1)
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if self.config['snapshots']['show_timestamp']:
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time_to_show = datetime.datetime.fromtimestamp(frame_time).strftime("%m/%d/%Y %H:%M:%S")
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cv2.putText(self._current_frame, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
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if self.config['snapshots']['draw_zones']:
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for name, zone in self.config['zones'].items():
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thickness = 8 if any([name in obj['zones'] for obj in self.tracked_objects.values()]) else 2
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cv2.drawContours(self._current_frame, [zone['contour']], -1, zone['color'], thickness)
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# maintain best objects
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# maintain best objects
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for obj in self.tracked_objects.values():
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for obj in self.tracked_objects.values():
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@ -199,12 +200,12 @@ class CameraState():
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# if the object is a higher score than the current best score
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# if the object is a higher score than the current best score
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# or the current object is older than desired, use the new object
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# or the current object is older than desired, use the new object
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if obj_copy['score'] > current_best['score'] or (now - current_best['frame_time']) > self.config.get('best_image_timeout', 60):
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if obj_copy['score'] > current_best['score'] or (now - current_best['frame_time']) > self.config.get('best_image_timeout', 60):
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obj_copy['frame'] = np.copy(self._current_frame)
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obj_copy['frame'] = np.copy(current_frame)
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self.best_objects[object_type] = obj_copy
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self.best_objects[object_type] = obj_copy
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for c in self.callbacks['snapshot']:
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for c in self.callbacks['snapshot']:
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c(self.name, self.best_objects[object_type])
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c(self.name, self.best_objects[object_type])
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else:
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else:
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obj_copy['frame'] = np.copy(self._current_frame)
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obj_copy['frame'] = np.copy(current_frame)
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self.best_objects[object_type] = obj_copy
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self.best_objects[object_type] = obj_copy
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for c in self.callbacks['snapshot']:
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for c in self.callbacks['snapshot']:
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c(self.name, self.best_objects[object_type])
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c(self.name, self.best_objects[object_type])
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@ -231,7 +232,12 @@ class CameraState():
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c(self.name, obj_name, 'OFF')
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c(self.name, obj_name, 'OFF')
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for c in self.callbacks['snapshot']:
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for c in self.callbacks['snapshot']:
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c(self.name, self.best_objects[obj_name])
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c(self.name, self.best_objects[obj_name])
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with self.current_frame_lock:
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self._current_frame = current_frame
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if not self.previous_frame_id is None:
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self.frame_manager.delete(self.previous_frame_id)
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self.previous_frame_id = frame_id
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class TrackedObjectProcessor(threading.Thread):
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class TrackedObjectProcessor(threading.Thread):
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def __init__(self, camera_config, client, topic_prefix, tracked_objects_queue, event_queue, stop_event):
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def __init__(self, camera_config, client, topic_prefix, tracked_objects_queue, event_queue, stop_event):
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@ -328,8 +334,8 @@ class TrackedObjectProcessor(threading.Thread):
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else:
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else:
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return {}
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return {}
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def get_current_frame(self, camera):
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def get_current_frame(self, camera, draw=False):
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return self.camera_states[camera].get_current_frame()
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return self.camera_states[camera].get_current_frame(draw)
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def run(self):
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def run(self):
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while True:
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while True:
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