2023-05-19 12:16:11 +02:00
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"""Handle external events created by the user."""
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import base64
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import datetime
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import logging
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import os
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import random
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import string
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2024-04-02 15:07:50 +02:00
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from enum import Enum
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2023-05-19 12:16:11 +02:00
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from typing import Optional
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2023-05-29 12:31:17 +02:00
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import cv2
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2023-05-19 12:16:11 +02:00
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2024-04-02 15:07:50 +02:00
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from frigate.comms.detections_updater import DetectionPublisher, DetectionTypeEnum
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2024-03-23 17:11:32 +01:00
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from frigate.comms.events_updater import EventUpdatePublisher
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2023-05-19 12:16:11 +02:00
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from frigate.config import CameraConfig, FrigateConfig
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from frigate.const import CLIPS_DIR
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2024-03-23 17:11:32 +01:00
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from frigate.events.types import EventStateEnum, EventTypeEnum
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2023-07-06 16:28:50 +02:00
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from frigate.util.image import draw_box_with_label
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2023-05-19 12:16:11 +02:00
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logger = logging.getLogger(__name__)
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2024-04-02 15:07:50 +02:00
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class ManualEventState(str, Enum):
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complete = "complete"
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start = "start"
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end = "end"
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2023-05-19 12:16:11 +02:00
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class ExternalEventProcessor:
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2024-03-23 17:11:32 +01:00
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def __init__(self, config: FrigateConfig) -> None:
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2023-05-19 12:16:11 +02:00
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self.config = config
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self.default_thumbnail = None
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2024-03-23 17:11:32 +01:00
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self.event_sender = EventUpdatePublisher()
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2024-04-02 15:07:50 +02:00
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self.detection_updater = DetectionPublisher(DetectionTypeEnum.api)
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self.event_camera = {}
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2023-05-19 12:16:11 +02:00
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def create_manual_event(
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self,
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camera: str,
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label: str,
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2023-07-03 16:48:00 +02:00
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source_type: str,
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2023-05-19 12:16:11 +02:00
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sub_label: Optional[str],
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2023-07-17 13:07:15 +02:00
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score: int,
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2023-05-19 12:16:11 +02:00
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duration: Optional[int],
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include_recording: bool,
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draw: dict[str, any],
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snapshot_frame: any,
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) -> str:
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now = datetime.datetime.now().timestamp()
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camera_config = self.config.cameras.get(camera)
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# create event id and start frame time
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rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
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event_id = f"{now}-{rand_id}"
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thumbnail = self._write_images(
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camera_config, label, event_id, draw, snapshot_frame
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)
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2024-09-03 16:49:50 +02:00
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end = now + duration if duration is not None else None
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self.event_sender.publish(
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(
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EventTypeEnum.api,
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EventStateEnum.start,
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camera,
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"",
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{
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"id": event_id,
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"label": label,
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"sub_label": sub_label,
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"score": score,
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"camera": camera,
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2024-10-31 13:31:01 +01:00
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"start_time": now - camera_config.record.event_pre_capture,
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"end_time": end,
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"thumbnail": thumbnail,
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"has_clip": camera_config.record.enabled and include_recording,
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"has_snapshot": True,
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"type": source_type,
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},
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)
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)
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2024-04-02 15:07:50 +02:00
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if source_type == "api":
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self.event_camera[event_id] = camera
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2024-06-21 23:30:19 +02:00
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self.detection_updater.publish(
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(
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camera,
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now,
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{
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"state": (
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ManualEventState.complete if end else ManualEventState.start
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),
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"label": f"{label}: {sub_label}" if sub_label else label,
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"event_id": event_id,
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"end_time": end,
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},
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)
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)
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2023-05-19 12:16:11 +02:00
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return event_id
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2023-07-01 15:18:33 +02:00
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def finish_manual_event(self, event_id: str, end_time: float) -> None:
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"""Finish external event with indeterminate duration."""
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self.event_sender.publish(
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(
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EventTypeEnum.api,
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EventStateEnum.end,
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None,
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{"id": event_id, "end_time": end_time},
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)
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2023-05-19 12:16:11 +02:00
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)
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if event_id in self.event_camera:
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self.detection_updater.publish(
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(
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self.event_camera[event_id],
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end_time,
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2024-05-10 19:42:56 +02:00
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{
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"state": ManualEventState.end,
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"event_id": event_id,
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"end_time": end_time,
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},
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)
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)
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self.event_camera.pop(event_id)
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def _write_images(
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self,
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camera_config: CameraConfig,
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label: str,
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event_id: str,
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draw: dict[str, any],
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img_frame: any,
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) -> str:
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# write clean snapshot if enabled
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if camera_config.snapshots.clean_copy:
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ret, png = cv2.imencode(".png", img_frame)
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if ret:
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with open(
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os.path.join(
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CLIPS_DIR,
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f"{camera_config.name}-{event_id}-clean.png",
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),
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"wb",
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) as p:
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p.write(png.tobytes())
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# write jpg snapshot with optional annotations
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if draw.get("boxes") and isinstance(draw.get("boxes"), list):
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for box in draw.get("boxes"):
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2023-10-31 00:53:29 +01:00
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x = int(box["box"][0] * camera_config.detect.width)
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y = int(box["box"][1] * camera_config.detect.height)
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width = int(box["box"][2] * camera_config.detect.width)
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height = int(box["box"][3] * camera_config.detect.height)
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draw_box_with_label(
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img_frame,
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x,
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y,
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x + width,
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y + height,
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label,
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f"{box.get('score', '-')}% {int(width * height)}",
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thickness=2,
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color=box.get("color", (255, 0, 0)),
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)
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ret, jpg = cv2.imencode(".jpg", img_frame)
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with open(
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os.path.join(CLIPS_DIR, f"{camera_config.name}-{event_id}.jpg"),
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"wb",
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) as j:
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j.write(jpg.tobytes())
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# create thumbnail with max height of 175 and save
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width = int(175 * img_frame.shape[1] / img_frame.shape[0])
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thumb = cv2.resize(img_frame, dsize=(width, 175), interpolation=cv2.INTER_AREA)
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ret, jpg = cv2.imencode(".jpg", thumb)
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return base64.b64encode(jpg.tobytes()).decode("utf-8")
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2024-03-23 17:11:32 +01:00
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def stop(self):
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self.event_sender.stop()
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self.detection_updater.stop()
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