mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-12-23 19:11:14 +01:00
1253 lines
35 KiB
Python
1253 lines
35 KiB
Python
import base64
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import json
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import logging
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import os
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from typing import Dict
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import cv2
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import matplotlib.pyplot as plt
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import numpy as np
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import voluptuous as vol
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import yaml
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from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
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from frigate.util import create_mask
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logger = logging.getLogger(__name__)
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DEFAULT_TRACKED_OBJECTS = ["person"]
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DETECTORS_SCHEMA = vol.Schema(
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{
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vol.Required(str): {
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vol.Required("type", default="edgetpu"): vol.In(["cpu", "edgetpu"]),
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vol.Optional("device", default="usb"): str,
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vol.Optional("num_threads", default=3): int,
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}
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}
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)
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DEFAULT_DETECTORS = {"coral": {"type": "edgetpu", "device": "usb"}}
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MQTT_SCHEMA = vol.Schema(
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{
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vol.Required("host"): str,
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vol.Optional("port", default=1883): int,
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vol.Optional("topic_prefix", default="frigate"): str,
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vol.Optional("client_id", default="frigate"): str,
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vol.Optional("stats_interval", default=60): int,
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"user": str,
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"password": str,
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}
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)
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RETAIN_SCHEMA = vol.Schema(
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{vol.Required("default", default=10): int, "objects": {str: int}}
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)
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CLIPS_SCHEMA = vol.Schema(
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{
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vol.Optional("max_seconds", default=300): int,
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vol.Optional("retain", default={}): RETAIN_SCHEMA,
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}
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)
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FFMPEG_GLOBAL_ARGS_DEFAULT = ["-hide_banner", "-loglevel", "warning"]
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FFMPEG_INPUT_ARGS_DEFAULT = [
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"-avoid_negative_ts",
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"make_zero",
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"-fflags",
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"+genpts+discardcorrupt",
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"-rtsp_transport",
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"tcp",
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"-stimeout",
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"5000000",
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"-use_wallclock_as_timestamps",
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"1",
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]
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DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "rawvideo", "-pix_fmt", "yuv420p"]
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RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-c", "copy", "-f", "flv"]
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SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT = [
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"-f",
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"segment",
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"-segment_time",
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"10",
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"-segment_format",
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"mp4",
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"-reset_timestamps",
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"1",
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"-strftime",
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"1",
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"-c",
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"copy",
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"-an",
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]
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RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT = [
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"-f",
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"segment",
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"-segment_time",
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"60",
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"-segment_format",
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"mp4",
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"-reset_timestamps",
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"1",
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"-strftime",
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"1",
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"-c",
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"copy",
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"-an",
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]
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GLOBAL_FFMPEG_SCHEMA = vol.Schema(
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{
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vol.Optional("global_args", default=FFMPEG_GLOBAL_ARGS_DEFAULT): vol.Any(
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str, [str]
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),
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vol.Optional("hwaccel_args", default=[]): vol.Any(str, [str]),
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vol.Optional("input_args", default=FFMPEG_INPUT_ARGS_DEFAULT): vol.Any(
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str, [str]
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),
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vol.Optional("output_args", default={}): {
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vol.Optional("detect", default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(
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str, [str]
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),
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vol.Optional("record", default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(
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str, [str]
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),
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vol.Optional(
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"clips", default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT
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): vol.Any(str, [str]),
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vol.Optional("rtmp", default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(
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str, [str]
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),
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},
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}
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)
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MOTION_SCHEMA = vol.Schema(
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{
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"mask": vol.Any(str, [str]),
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"threshold": vol.Range(min=1, max=255),
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"contour_area": int,
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"delta_alpha": float,
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"frame_alpha": float,
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"frame_height": int,
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}
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)
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DETECT_SCHEMA = vol.Schema({"max_disappeared": int})
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FILTER_SCHEMA = vol.Schema(
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{
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str: {
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"min_area": int,
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"max_area": int,
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"threshold": float,
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}
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}
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)
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def filters_for_all_tracked_objects(object_config):
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for tracked_object in object_config.get("track", DEFAULT_TRACKED_OBJECTS):
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if not "filters" in object_config:
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object_config["filters"] = {}
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if not tracked_object in object_config["filters"]:
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object_config["filters"][tracked_object] = {}
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return object_config
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OBJECTS_SCHEMA = vol.Schema(
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vol.All(
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filters_for_all_tracked_objects,
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{
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"track": [str],
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"mask": vol.Any(str, [str]),
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vol.Optional("filters", default={}): FILTER_SCHEMA.extend(
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{
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str: {
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"min_score": float,
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"mask": vol.Any(str, [str]),
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}
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}
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),
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},
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)
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)
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def each_role_used_once(inputs):
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roles = [role for i in inputs for role in i["roles"]]
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roles_set = set(roles)
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if len(roles) > len(roles_set):
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raise ValueError
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return inputs
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def detect_is_required(inputs):
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roles = [role for i in inputs for role in i["roles"]]
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if not "detect" in roles:
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raise ValueError
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return inputs
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CAMERA_FFMPEG_SCHEMA = vol.Schema(
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{
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vol.Required("inputs"): vol.All(
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[
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{
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vol.Required("path"): str,
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vol.Required("roles"): ["detect", "clips", "record", "rtmp"],
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"global_args": vol.Any(str, [str]),
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"hwaccel_args": vol.Any(str, [str]),
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"input_args": vol.Any(str, [str]),
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}
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],
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vol.Msg(each_role_used_once, msg="Each input role may only be used once"),
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vol.Msg(detect_is_required, msg="The detect role is required"),
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),
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"global_args": vol.Any(str, [str]),
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"hwaccel_args": vol.Any(str, [str]),
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"input_args": vol.Any(str, [str]),
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"output_args": {
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vol.Optional("detect", default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(
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str, [str]
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),
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vol.Optional("record", default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(
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str, [str]
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),
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vol.Optional(
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"clips", default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT
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): vol.Any(str, [str]),
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vol.Optional("rtmp", default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(
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str, [str]
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),
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},
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}
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)
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def ensure_zones_and_cameras_have_different_names(cameras):
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zones = [zone for camera in cameras.values() for zone in camera["zones"].keys()]
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for zone in zones:
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if zone in cameras.keys():
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raise ValueError
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return cameras
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CAMERAS_SCHEMA = vol.Schema(
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vol.All(
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{
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str: {
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vol.Required("ffmpeg"): CAMERA_FFMPEG_SCHEMA,
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vol.Required("height"): int,
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vol.Required("width"): int,
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"fps": int,
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vol.Optional("best_image_timeout", default=60): int,
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vol.Optional("zones", default={}): {
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str: {
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vol.Required("coordinates"): vol.Any(str, [str]),
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vol.Optional("filters", default={}): FILTER_SCHEMA,
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}
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},
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vol.Optional("clips", default={}): {
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vol.Optional("enabled", default=False): bool,
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vol.Optional("pre_capture", default=5): int,
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vol.Optional("post_capture", default=5): int,
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vol.Optional("required_zones", default=[]): [str],
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"objects": [str],
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vol.Optional("retain", default={}): RETAIN_SCHEMA,
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},
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vol.Optional("record", default={}): {
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"enabled": bool,
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"retain_days": int,
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},
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vol.Optional("rtmp", default={}): {
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vol.Required("enabled", default=True): bool,
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},
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vol.Optional("snapshots", default={}): {
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vol.Optional("enabled", default=False): bool,
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vol.Optional("timestamp", default=False): bool,
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vol.Optional("bounding_box", default=False): bool,
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vol.Optional("crop", default=False): bool,
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vol.Optional("required_zones", default=[]): [str],
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"height": int,
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vol.Optional("retain", default={}): RETAIN_SCHEMA,
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},
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vol.Optional("mqtt", default={}): {
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vol.Optional("enabled", default=True): bool,
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vol.Optional("timestamp", default=True): bool,
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vol.Optional("bounding_box", default=True): bool,
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vol.Optional("crop", default=True): bool,
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vol.Optional("height", default=270): int,
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vol.Optional("required_zones", default=[]): [str],
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},
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vol.Optional("objects", default={}): OBJECTS_SCHEMA,
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vol.Optional("motion", default={}): MOTION_SCHEMA,
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vol.Optional("detect", default={}): DETECT_SCHEMA.extend(
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{vol.Optional("enabled", default=True): bool}
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),
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}
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},
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vol.Msg(
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ensure_zones_and_cameras_have_different_names,
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msg="Zones cannot share names with cameras",
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),
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)
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)
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FRIGATE_CONFIG_SCHEMA = vol.Schema(
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{
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vol.Optional("database", default={}): {
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vol.Optional("path", default=os.path.join(CLIPS_DIR, "frigate.db")): str
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},
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vol.Optional("model", default={"width": 320, "height": 320}): {
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vol.Required("width"): int,
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vol.Required("height"): int,
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},
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vol.Optional("detectors", default=DEFAULT_DETECTORS): DETECTORS_SCHEMA,
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"mqtt": MQTT_SCHEMA,
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vol.Optional("logger", default={"default": "info", "logs": {}}): {
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vol.Optional("default", default="info"): vol.In(
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["info", "debug", "warning", "error", "critical"]
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),
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vol.Optional("logs", default={}): {
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str: vol.In(["info", "debug", "warning", "error", "critical"])
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},
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},
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vol.Optional("snapshots", default={}): {
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vol.Optional("retain", default={}): RETAIN_SCHEMA
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},
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vol.Optional("clips", default={}): CLIPS_SCHEMA,
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vol.Optional("record", default={}): {
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vol.Optional("enabled", default=False): bool,
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vol.Optional("retain_days", default=30): int,
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},
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vol.Optional("ffmpeg", default={}): GLOBAL_FFMPEG_SCHEMA,
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vol.Optional("objects", default={}): OBJECTS_SCHEMA,
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vol.Optional("motion", default={}): MOTION_SCHEMA,
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vol.Optional("detect", default={}): DETECT_SCHEMA,
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vol.Required("cameras", default={}): CAMERAS_SCHEMA,
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vol.Optional("environment_vars", default={}): {str: str},
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}
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)
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class DatabaseConfig:
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def __init__(self, config):
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self._path = config["path"]
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@property
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def path(self):
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return self._path
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def to_dict(self):
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return {"path": self.path}
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class ModelConfig:
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def __init__(self, config):
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self._width = config["width"]
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self._height = config["height"]
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@property
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def width(self):
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return self._width
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@property
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def height(self):
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return self._height
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def to_dict(self):
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return {"width": self.width, "height": self.height}
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class DetectorConfig:
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def __init__(self, config):
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self._type = config["type"]
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self._device = config["device"]
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self._num_threads = config["num_threads"]
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@property
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def type(self):
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return self._type
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@property
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def device(self):
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return self._device
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@property
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def num_threads(self):
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return self._num_threads
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def to_dict(self):
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return {
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"type": self.type,
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"device": self.device,
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"num_threads": self.num_threads,
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}
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class LoggerConfig:
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def __init__(self, config):
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self._default = config["default"].upper()
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self._logs = {k: v.upper() for k, v in config["logs"].items()}
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@property
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def default(self):
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return self._default
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@property
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def logs(self):
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return self._logs
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def to_dict(self):
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return {"default": self.default, "logs": self.logs}
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class MqttConfig:
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def __init__(self, config):
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self._host = config["host"]
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self._port = config["port"]
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self._topic_prefix = config["topic_prefix"]
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self._client_id = config["client_id"]
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self._user = config.get("user")
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self._password = config.get("password")
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self._stats_interval = config.get("stats_interval")
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@property
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def host(self):
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return self._host
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@property
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def port(self):
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return self._port
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|
@property
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def topic_prefix(self):
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return self._topic_prefix
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@property
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def client_id(self):
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return self._client_id
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|
@property
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def user(self):
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return self._user
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|
@property
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def password(self):
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return self._password
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@property
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def stats_interval(self):
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return self._stats_interval
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def to_dict(self):
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return {
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"host": self.host,
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"port": self.port,
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"topic_prefix": self.topic_prefix,
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"client_id": self.client_id,
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"user": self.user,
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"stats_interval": self.stats_interval,
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}
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|
|
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class CameraInput:
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def __init__(self, camera_config, global_config, ffmpeg_input):
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self._path = ffmpeg_input["path"]
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self._roles = ffmpeg_input["roles"]
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self._global_args = ffmpeg_input.get(
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"global_args",
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camera_config.get("global_args", global_config["global_args"]),
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)
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self._hwaccel_args = ffmpeg_input.get(
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"hwaccel_args",
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camera_config.get("hwaccel_args", global_config["hwaccel_args"]),
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)
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self._input_args = ffmpeg_input.get(
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"input_args", camera_config.get("input_args", global_config["input_args"])
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)
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|
|
@property
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def path(self):
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return self._path
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|
|
|
@property
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def roles(self):
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return self._roles
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|
|
|
@property
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|
def global_args(self):
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return (
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self._global_args
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|
if isinstance(self._global_args, list)
|
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else self._global_args.split(" ")
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)
|
|
|
|
@property
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|
def hwaccel_args(self):
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return (
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self._hwaccel_args
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if isinstance(self._hwaccel_args, list)
|
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else self._hwaccel_args.split(" ")
|
|
)
|
|
|
|
@property
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|
def input_args(self):
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|
return (
|
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self._input_args
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if isinstance(self._input_args, list)
|
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else self._input_args.split(" ")
|
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)
|
|
|
|
|
|
class CameraFfmpegConfig:
|
|
def __init__(self, global_config, config):
|
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self._inputs = [CameraInput(config, global_config, i) for i in config["inputs"]]
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self._output_args = config.get("output_args", global_config["output_args"])
|
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|
|
@property
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|
def inputs(self):
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return self._inputs
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|
|
|
@property
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|
def output_args(self):
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return {
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k: v if isinstance(v, list) else v.split(" ")
|
|
for k, v in self._output_args.items()
|
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}
|
|
|
|
|
|
class RetainConfig:
|
|
def __init__(self, global_config, config):
|
|
self._default = config.get("default", global_config.get("default"))
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|
self._objects = config.get("objects", global_config.get("objects", {}))
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|
|
|
@property
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|
def default(self):
|
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return self._default
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|
|
|
@property
|
|
def objects(self):
|
|
return self._objects
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|
|
|
def to_dict(self):
|
|
return {"default": self.default, "objects": self.objects}
|
|
|
|
|
|
class ClipsConfig:
|
|
def __init__(self, config):
|
|
self._max_seconds = config["max_seconds"]
|
|
self._retain = RetainConfig(config["retain"], config["retain"])
|
|
|
|
@property
|
|
def max_seconds(self):
|
|
return self._max_seconds
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|
|
|
@property
|
|
def retain(self):
|
|
return self._retain
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|
|
|
def to_dict(self):
|
|
return {
|
|
"max_seconds": self.max_seconds,
|
|
"retain": self.retain.to_dict(),
|
|
}
|
|
|
|
|
|
class SnapshotsConfig:
|
|
def __init__(self, config):
|
|
self._retain = RetainConfig(config["retain"], config["retain"])
|
|
|
|
@property
|
|
def retain(self):
|
|
return self._retain
|
|
|
|
def to_dict(self):
|
|
return {"retain": self.retain.to_dict()}
|
|
|
|
|
|
class RecordConfig:
|
|
def __init__(self, global_config, config):
|
|
self._enabled = config.get("enabled", global_config["enabled"])
|
|
self._retain_days = config.get("retain_days", global_config["retain_days"])
|
|
|
|
@property
|
|
def enabled(self):
|
|
return self._enabled
|
|
|
|
@property
|
|
def retain_days(self):
|
|
return self._retain_days
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"enabled": self.enabled,
|
|
"retain_days": self.retain_days,
|
|
}
|
|
|
|
|
|
class FilterConfig:
|
|
def __init__(self, global_config, config, global_mask=None, frame_shape=None):
|
|
self._min_area = config.get("min_area", global_config.get("min_area", 0))
|
|
self._max_area = config.get("max_area", global_config.get("max_area", 24000000))
|
|
self._threshold = config.get("threshold", global_config.get("threshold", 0.7))
|
|
self._min_score = config.get("min_score", global_config.get("min_score", 0.5))
|
|
|
|
self._raw_mask = []
|
|
if global_mask:
|
|
if isinstance(global_mask, list):
|
|
self._raw_mask += global_mask
|
|
elif isinstance(global_mask, str):
|
|
self._raw_mask += [global_mask]
|
|
|
|
mask = config.get("mask")
|
|
if mask:
|
|
if isinstance(mask, list):
|
|
self._raw_mask += mask
|
|
elif isinstance(mask, str):
|
|
self._raw_mask += [mask]
|
|
self._mask = (
|
|
create_mask(frame_shape, self._raw_mask) if self._raw_mask else None
|
|
)
|
|
|
|
@property
|
|
def min_area(self):
|
|
return self._min_area
|
|
|
|
@property
|
|
def max_area(self):
|
|
return self._max_area
|
|
|
|
@property
|
|
def threshold(self):
|
|
return self._threshold
|
|
|
|
@property
|
|
def min_score(self):
|
|
return self._min_score
|
|
|
|
@property
|
|
def mask(self):
|
|
return self._mask
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"min_area": self.min_area,
|
|
"max_area": self.max_area,
|
|
"threshold": self.threshold,
|
|
"min_score": self.min_score,
|
|
"mask": self._raw_mask,
|
|
}
|
|
|
|
|
|
class ObjectConfig:
|
|
def __init__(self, global_config, config, frame_shape):
|
|
self._track = config.get(
|
|
"track", global_config.get("track", DEFAULT_TRACKED_OBJECTS)
|
|
)
|
|
self._raw_mask = config.get("mask")
|
|
self._filters = {
|
|
name: FilterConfig(
|
|
global_config["filters"].get(name, {}),
|
|
config["filters"].get(name, {}),
|
|
self._raw_mask,
|
|
frame_shape,
|
|
)
|
|
for name in self._track
|
|
}
|
|
|
|
@property
|
|
def track(self):
|
|
return self._track
|
|
|
|
@property
|
|
def filters(self) -> Dict[str, FilterConfig]:
|
|
return self._filters
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"track": self.track,
|
|
"mask": self._raw_mask,
|
|
"filters": {k: f.to_dict() for k, f in self.filters.items()},
|
|
}
|
|
|
|
|
|
class CameraSnapshotsConfig:
|
|
def __init__(self, global_config, config):
|
|
self._enabled = config["enabled"]
|
|
self._timestamp = config["timestamp"]
|
|
self._bounding_box = config["bounding_box"]
|
|
self._crop = config["crop"]
|
|
self._height = config.get("height")
|
|
self._retain = RetainConfig(
|
|
global_config["snapshots"]["retain"], config["retain"]
|
|
)
|
|
self._required_zones = config["required_zones"]
|
|
|
|
@property
|
|
def enabled(self):
|
|
return self._enabled
|
|
|
|
@property
|
|
def timestamp(self):
|
|
return self._timestamp
|
|
|
|
@property
|
|
def bounding_box(self):
|
|
return self._bounding_box
|
|
|
|
@property
|
|
def crop(self):
|
|
return self._crop
|
|
|
|
@property
|
|
def height(self):
|
|
return self._height
|
|
|
|
@property
|
|
def retain(self):
|
|
return self._retain
|
|
|
|
@property
|
|
def required_zones(self):
|
|
return self._required_zones
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"enabled": self.enabled,
|
|
"timestamp": self.timestamp,
|
|
"bounding_box": self.bounding_box,
|
|
"crop": self.crop,
|
|
"height": self.height,
|
|
"retain": self.retain.to_dict(),
|
|
"required_zones": self.required_zones,
|
|
}
|
|
|
|
|
|
class CameraMqttConfig:
|
|
def __init__(self, config):
|
|
self._enabled = config["enabled"]
|
|
self._timestamp = config["timestamp"]
|
|
self._bounding_box = config["bounding_box"]
|
|
self._crop = config["crop"]
|
|
self._height = config.get("height")
|
|
self._required_zones = config["required_zones"]
|
|
|
|
@property
|
|
def enabled(self):
|
|
return self._enabled
|
|
|
|
@property
|
|
def timestamp(self):
|
|
return self._timestamp
|
|
|
|
@property
|
|
def bounding_box(self):
|
|
return self._bounding_box
|
|
|
|
@property
|
|
def crop(self):
|
|
return self._crop
|
|
|
|
@property
|
|
def height(self):
|
|
return self._height
|
|
|
|
@property
|
|
def required_zones(self):
|
|
return self._required_zones
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"enabled": self.enabled,
|
|
"timestamp": self.timestamp,
|
|
"bounding_box": self.bounding_box,
|
|
"crop": self.crop,
|
|
"height": self.height,
|
|
"required_zones": self.required_zones,
|
|
}
|
|
|
|
|
|
class CameraClipsConfig:
|
|
def __init__(self, global_config, config):
|
|
self._enabled = config["enabled"]
|
|
self._pre_capture = config["pre_capture"]
|
|
self._post_capture = config["post_capture"]
|
|
self._objects = config.get("objects")
|
|
self._retain = RetainConfig(global_config["clips"]["retain"], config["retain"])
|
|
self._required_zones = config["required_zones"]
|
|
|
|
@property
|
|
def enabled(self):
|
|
return self._enabled
|
|
|
|
@property
|
|
def pre_capture(self):
|
|
return self._pre_capture
|
|
|
|
@property
|
|
def post_capture(self):
|
|
return self._post_capture
|
|
|
|
@property
|
|
def objects(self):
|
|
return self._objects
|
|
|
|
@property
|
|
def retain(self):
|
|
return self._retain
|
|
|
|
@property
|
|
def required_zones(self):
|
|
return self._required_zones
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"enabled": self.enabled,
|
|
"pre_capture": self.pre_capture,
|
|
"post_capture": self.post_capture,
|
|
"objects": self.objects,
|
|
"retain": self.retain.to_dict(),
|
|
"required_zones": self.required_zones,
|
|
}
|
|
|
|
|
|
class CameraRtmpConfig:
|
|
def __init__(self, global_config, config):
|
|
self._enabled = config["enabled"]
|
|
|
|
@property
|
|
def enabled(self):
|
|
return self._enabled
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"enabled": self.enabled,
|
|
}
|
|
|
|
|
|
class MotionConfig:
|
|
def __init__(self, global_config, config, frame_shape):
|
|
self._raw_mask = config.get("mask")
|
|
if self._raw_mask:
|
|
self._mask = create_mask(frame_shape, self._raw_mask)
|
|
else:
|
|
default_mask = np.zeros(frame_shape, np.uint8)
|
|
default_mask[:] = 255
|
|
self._mask = default_mask
|
|
self._threshold = config.get("threshold", global_config.get("threshold", 25))
|
|
self._contour_area = config.get(
|
|
"contour_area", global_config.get("contour_area", 100)
|
|
)
|
|
self._delta_alpha = config.get(
|
|
"delta_alpha", global_config.get("delta_alpha", 0.2)
|
|
)
|
|
self._frame_alpha = config.get(
|
|
"frame_alpha", global_config.get("frame_alpha", 0.2)
|
|
)
|
|
self._frame_height = config.get(
|
|
"frame_height", global_config.get("frame_height", frame_shape[0] // 6)
|
|
)
|
|
|
|
@property
|
|
def mask(self):
|
|
return self._mask
|
|
|
|
@property
|
|
def threshold(self):
|
|
return self._threshold
|
|
|
|
@property
|
|
def contour_area(self):
|
|
return self._contour_area
|
|
|
|
@property
|
|
def delta_alpha(self):
|
|
return self._delta_alpha
|
|
|
|
@property
|
|
def frame_alpha(self):
|
|
return self._frame_alpha
|
|
|
|
@property
|
|
def frame_height(self):
|
|
return self._frame_height
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"mask": self._raw_mask,
|
|
"threshold": self.threshold,
|
|
"contour_area": self.contour_area,
|
|
"delta_alpha": self.delta_alpha,
|
|
"frame_alpha": self.frame_alpha,
|
|
"frame_height": self.frame_height,
|
|
}
|
|
|
|
|
|
class DetectConfig:
|
|
def __init__(self, global_config, config, camera_fps):
|
|
self._enabled = config["enabled"]
|
|
self._max_disappeared = config.get(
|
|
"max_disappeared", global_config.get("max_disappeared", camera_fps * 5)
|
|
)
|
|
|
|
@property
|
|
def enabled(self):
|
|
return self._enabled
|
|
|
|
@property
|
|
def max_disappeared(self):
|
|
return self._max_disappeared
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"enabled": self.enabled,
|
|
"max_disappeared": self._max_disappeared,
|
|
}
|
|
|
|
|
|
class ZoneConfig:
|
|
def __init__(self, name, config):
|
|
self._coordinates = config["coordinates"]
|
|
self._filters = {
|
|
name: FilterConfig(c, c) for name, c in config["filters"].items()
|
|
}
|
|
|
|
if isinstance(self._coordinates, list):
|
|
self._contour = np.array(
|
|
[
|
|
[int(p.split(",")[0]), int(p.split(",")[1])]
|
|
for p in self._coordinates
|
|
]
|
|
)
|
|
elif isinstance(self._coordinates, str):
|
|
points = self._coordinates.split(",")
|
|
self._contour = np.array(
|
|
[[int(points[i]), int(points[i + 1])] for i in range(0, len(points), 2)]
|
|
)
|
|
else:
|
|
print(f"Unable to parse zone coordinates for {name}")
|
|
self._contour = np.array([])
|
|
|
|
self._color = (0, 0, 0)
|
|
|
|
@property
|
|
def coordinates(self):
|
|
return self._coordinates
|
|
|
|
@property
|
|
def contour(self):
|
|
return self._contour
|
|
|
|
@contour.setter
|
|
def contour(self, val):
|
|
self._contour = val
|
|
|
|
@property
|
|
def color(self):
|
|
return self._color
|
|
|
|
@color.setter
|
|
def color(self, val):
|
|
self._color = val
|
|
|
|
@property
|
|
def filters(self):
|
|
return self._filters
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"filters": {k: f.to_dict() for k, f in self.filters.items()},
|
|
"coordinates": self._coordinates,
|
|
}
|
|
|
|
|
|
class CameraConfig:
|
|
def __init__(self, name, config, global_config):
|
|
self._name = name
|
|
self._ffmpeg = CameraFfmpegConfig(global_config["ffmpeg"], config["ffmpeg"])
|
|
self._height = config.get("height")
|
|
self._width = config.get("width")
|
|
self._frame_shape = (self._height, self._width)
|
|
self._frame_shape_yuv = (self._frame_shape[0] * 3 // 2, self._frame_shape[1])
|
|
self._fps = config.get("fps")
|
|
self._best_image_timeout = config["best_image_timeout"]
|
|
self._zones = {name: ZoneConfig(name, z) for name, z in config["zones"].items()}
|
|
self._clips = CameraClipsConfig(global_config, config["clips"])
|
|
self._record = RecordConfig(global_config["record"], config["record"])
|
|
self._rtmp = CameraRtmpConfig(global_config, config["rtmp"])
|
|
self._snapshots = CameraSnapshotsConfig(global_config, config["snapshots"])
|
|
self._mqtt = CameraMqttConfig(config["mqtt"])
|
|
self._objects = ObjectConfig(
|
|
global_config["objects"], config.get("objects", {}), self._frame_shape
|
|
)
|
|
self._motion = MotionConfig(
|
|
global_config["motion"], config["motion"], self._frame_shape
|
|
)
|
|
self._detect = DetectConfig(
|
|
global_config["detect"], config["detect"], config.get("fps", 5)
|
|
)
|
|
|
|
self._ffmpeg_cmds = []
|
|
for ffmpeg_input in self._ffmpeg.inputs:
|
|
ffmpeg_cmd = self._get_ffmpeg_cmd(ffmpeg_input)
|
|
if ffmpeg_cmd is None:
|
|
continue
|
|
|
|
self._ffmpeg_cmds.append({"roles": ffmpeg_input.roles, "cmd": ffmpeg_cmd})
|
|
|
|
self._set_zone_colors(self._zones)
|
|
|
|
def _get_ffmpeg_cmd(self, ffmpeg_input):
|
|
ffmpeg_output_args = []
|
|
if "detect" in ffmpeg_input.roles:
|
|
ffmpeg_output_args = (
|
|
self.ffmpeg.output_args["detect"] + ffmpeg_output_args + ["pipe:"]
|
|
)
|
|
if self.fps:
|
|
ffmpeg_output_args = ["-r", str(self.fps)] + ffmpeg_output_args
|
|
if "rtmp" in ffmpeg_input.roles and self.rtmp.enabled:
|
|
ffmpeg_output_args = (
|
|
self.ffmpeg.output_args["rtmp"]
|
|
+ [f"rtmp://127.0.0.1/live/{self.name}"]
|
|
+ ffmpeg_output_args
|
|
)
|
|
if "clips" in ffmpeg_input.roles:
|
|
ffmpeg_output_args = (
|
|
self.ffmpeg.output_args["clips"]
|
|
+ [f"{os.path.join(CACHE_DIR, self.name)}-%Y%m%d%H%M%S.mp4"]
|
|
+ ffmpeg_output_args
|
|
)
|
|
if "record" in ffmpeg_input.roles and self.record.enabled:
|
|
ffmpeg_output_args = (
|
|
self.ffmpeg.output_args["record"]
|
|
+ [f"{os.path.join(RECORD_DIR, self.name)}-%Y%m%d%H%M%S.mp4"]
|
|
+ ffmpeg_output_args
|
|
)
|
|
|
|
# if there arent any outputs enabled for this input
|
|
if len(ffmpeg_output_args) == 0:
|
|
return None
|
|
|
|
cmd = (
|
|
["ffmpeg"]
|
|
+ ffmpeg_input.global_args
|
|
+ ffmpeg_input.hwaccel_args
|
|
+ ffmpeg_input.input_args
|
|
+ ["-i", ffmpeg_input.path]
|
|
+ ffmpeg_output_args
|
|
)
|
|
|
|
return [part for part in cmd if part != ""]
|
|
|
|
def _set_zone_colors(self, zones: Dict[str, ZoneConfig]):
|
|
# set colors for zones
|
|
all_zone_names = zones.keys()
|
|
zone_colors = {}
|
|
colors = plt.cm.get_cmap("tab10", len(all_zone_names))
|
|
for i, zone in enumerate(all_zone_names):
|
|
zone_colors[zone] = tuple(int(round(255 * c)) for c in colors(i)[:3])
|
|
|
|
for name, zone in zones.items():
|
|
zone.color = zone_colors[name]
|
|
|
|
@property
|
|
def name(self):
|
|
return self._name
|
|
|
|
@property
|
|
def ffmpeg(self):
|
|
return self._ffmpeg
|
|
|
|
@property
|
|
def height(self):
|
|
return self._height
|
|
|
|
@property
|
|
def width(self):
|
|
return self._width
|
|
|
|
@property
|
|
def fps(self):
|
|
return self._fps
|
|
|
|
@property
|
|
def best_image_timeout(self):
|
|
return self._best_image_timeout
|
|
|
|
@property
|
|
def zones(self) -> Dict[str, ZoneConfig]:
|
|
return self._zones
|
|
|
|
@property
|
|
def clips(self):
|
|
return self._clips
|
|
|
|
@property
|
|
def record(self):
|
|
return self._record
|
|
|
|
@property
|
|
def rtmp(self):
|
|
return self._rtmp
|
|
|
|
@property
|
|
def snapshots(self):
|
|
return self._snapshots
|
|
|
|
@property
|
|
def mqtt(self):
|
|
return self._mqtt
|
|
|
|
@property
|
|
def objects(self):
|
|
return self._objects
|
|
|
|
@property
|
|
def motion(self):
|
|
return self._motion
|
|
|
|
@property
|
|
def detect(self):
|
|
return self._detect
|
|
|
|
@property
|
|
def frame_shape(self):
|
|
return self._frame_shape
|
|
|
|
@property
|
|
def frame_shape_yuv(self):
|
|
return self._frame_shape_yuv
|
|
|
|
@property
|
|
def ffmpeg_cmds(self):
|
|
return self._ffmpeg_cmds
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"name": self.name,
|
|
"height": self.height,
|
|
"width": self.width,
|
|
"fps": self.fps,
|
|
"best_image_timeout": self.best_image_timeout,
|
|
"zones": {k: z.to_dict() for k, z in self.zones.items()},
|
|
"clips": self.clips.to_dict(),
|
|
"record": self.record.to_dict(),
|
|
"rtmp": self.rtmp.to_dict(),
|
|
"snapshots": self.snapshots.to_dict(),
|
|
"mqtt": self.mqtt.to_dict(),
|
|
"objects": self.objects.to_dict(),
|
|
"motion": self.motion.to_dict(),
|
|
"detect": self.detect.to_dict(),
|
|
"frame_shape": self.frame_shape,
|
|
"ffmpeg_cmds": [
|
|
{"roles": c["roles"], "cmd": " ".join(c["cmd"])}
|
|
for c in self.ffmpeg_cmds
|
|
],
|
|
}
|
|
|
|
|
|
class FrigateConfig:
|
|
def __init__(self, config_file=None, config=None):
|
|
if config is None and config_file is None:
|
|
raise ValueError("config or config_file must be defined")
|
|
elif not config_file is None:
|
|
config = self._load_file(config_file)
|
|
|
|
config = FRIGATE_CONFIG_SCHEMA(config)
|
|
|
|
config = self._sub_env_vars(config)
|
|
|
|
self._database = DatabaseConfig(config["database"])
|
|
self._model = ModelConfig(config["model"])
|
|
self._detectors = {
|
|
name: DetectorConfig(d) for name, d in config["detectors"].items()
|
|
}
|
|
self._mqtt = MqttConfig(config["mqtt"])
|
|
self._clips = ClipsConfig(config["clips"])
|
|
self._snapshots = SnapshotsConfig(config["snapshots"])
|
|
self._cameras = {
|
|
name: CameraConfig(name, c, config) for name, c in config["cameras"].items()
|
|
}
|
|
self._logger = LoggerConfig(config["logger"])
|
|
self._environment_vars = config["environment_vars"]
|
|
|
|
def _sub_env_vars(self, config):
|
|
frigate_env_vars = {
|
|
k: v for k, v in os.environ.items() if k.startswith("FRIGATE_")
|
|
}
|
|
|
|
if "password" in config["mqtt"]:
|
|
config["mqtt"]["password"] = config["mqtt"]["password"].format(
|
|
**frigate_env_vars
|
|
)
|
|
|
|
for camera in config["cameras"].values():
|
|
for i in camera["ffmpeg"]["inputs"]:
|
|
i["path"] = i["path"].format(**frigate_env_vars)
|
|
|
|
return config
|
|
|
|
def _load_file(self, config_file):
|
|
with open(config_file) as f:
|
|
raw_config = f.read()
|
|
|
|
if config_file.endswith(".yml"):
|
|
config = yaml.safe_load(raw_config)
|
|
elif config_file.endswith(".json"):
|
|
config = json.loads(raw_config)
|
|
|
|
return config
|
|
|
|
def to_dict(self):
|
|
return {
|
|
"database": self.database.to_dict(),
|
|
"model": self.model.to_dict(),
|
|
"detectors": {k: d.to_dict() for k, d in self.detectors.items()},
|
|
"mqtt": self.mqtt.to_dict(),
|
|
"clips": self.clips.to_dict(),
|
|
"snapshots": self.snapshots.to_dict(),
|
|
"cameras": {k: c.to_dict() for k, c in self.cameras.items()},
|
|
"logger": self.logger.to_dict(),
|
|
"environment_vars": self._environment_vars,
|
|
}
|
|
|
|
@property
|
|
def database(self):
|
|
return self._database
|
|
|
|
@property
|
|
def model(self):
|
|
return self._model
|
|
|
|
@property
|
|
def detectors(self) -> Dict[str, DetectorConfig]:
|
|
return self._detectors
|
|
|
|
@property
|
|
def logger(self):
|
|
return self._logger
|
|
|
|
@property
|
|
def mqtt(self):
|
|
return self._mqtt
|
|
|
|
@property
|
|
def clips(self):
|
|
return self._clips
|
|
|
|
@property
|
|
def snapshots(self):
|
|
return self._snapshots
|
|
|
|
@property
|
|
def cameras(self) -> Dict[str, CameraConfig]:
|
|
return self._cameras
|
|
|
|
@property
|
|
def environment_vars(self):
|
|
return self._environment_vars
|