blakeblackshear.frigate/frigate/config.py
2021-02-20 08:20:17 -06:00

1097 lines
33 KiB
Python

import base64
import json
import logging
import os
from typing import Dict
import cv2
import matplotlib.pyplot as plt
import numpy as np
import voluptuous as vol
import yaml
from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
from frigate.util import create_mask
logger = logging.getLogger(__name__)
DEFAULT_TRACKED_OBJECTS = ['person']
DETECTORS_SCHEMA = vol.Schema(
{
vol.Required(str): {
vol.Required('type', default='edgetpu'): vol.In(['cpu', 'edgetpu']),
vol.Optional('device', default='usb'): str,
vol.Optional('num_threads', default=3): int
}
}
)
DEFAULT_DETECTORS = {
'coral': {
'type': 'edgetpu',
'device': 'usb'
}
}
MQTT_SCHEMA = vol.Schema(
{
vol.Required('host'): str,
vol.Optional('port', default=1883): int,
vol.Optional('topic_prefix', default='frigate'): str,
vol.Optional('client_id', default='frigate'): str,
vol.Optional('stats_interval', default=60): int,
'user': str,
'password': str
}
)
RETAIN_SCHEMA = vol.Schema(
{
vol.Required('default',default=10): int,
'objects': {
str: int
}
}
)
CLIPS_SCHEMA = vol.Schema(
{
vol.Optional('max_seconds', default=300): int,
'tmpfs_cache_size': str,
vol.Optional('retain', default={}): RETAIN_SCHEMA
}
)
FFMPEG_GLOBAL_ARGS_DEFAULT = ['-hide_banner','-loglevel','warning']
FFMPEG_INPUT_ARGS_DEFAULT = ['-avoid_negative_ts', 'make_zero',
'-fflags', '+genpts+discardcorrupt',
'-rtsp_transport', 'tcp',
'-stimeout', '5000000',
'-use_wallclock_as_timestamps', '1']
DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT = ['-f', 'rawvideo',
'-pix_fmt', 'yuv420p']
RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-c", "copy", "-f", "flv"]
SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "segment", "-segment_time",
"10", "-segment_format", "mp4", "-reset_timestamps", "1", "-strftime",
"1", "-c", "copy", "-an"]
RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "segment", "-segment_time",
"60", "-segment_format", "mp4", "-reset_timestamps", "1", "-strftime",
"1", "-c", "copy", "-an"]
GLOBAL_FFMPEG_SCHEMA = vol.Schema(
{
vol.Optional('global_args', default=FFMPEG_GLOBAL_ARGS_DEFAULT): vol.Any(str, [str]),
vol.Optional('hwaccel_args', default=[]): vol.Any(str, [str]),
vol.Optional('input_args', default=FFMPEG_INPUT_ARGS_DEFAULT): vol.Any(str, [str]),
vol.Optional('output_args', default={}): {
vol.Optional('detect', default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
vol.Optional('record', default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
vol.Optional('clips', default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
vol.Optional('rtmp', default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
}
}
)
MOTION_SCHEMA = vol.Schema(
{
'mask': vol.Any(str, [str]),
'threshold': vol.Range(min=1, max=255),
'contour_area': int,
'delta_alpha': float,
'frame_alpha': float,
'frame_height': int
}
)
DETECT_SCHEMA = vol.Schema(
{
'max_disappeared': int
}
)
FILTER_SCHEMA = vol.Schema(
{
str: {
'min_area': int,
'max_area': int,
'threshold': float,
}
}
)
def filters_for_all_tracked_objects(object_config):
for tracked_object in object_config.get('track', DEFAULT_TRACKED_OBJECTS):
if not 'filters' in object_config:
object_config['filters'] = {}
if not tracked_object in object_config['filters']:
object_config['filters'][tracked_object] = {}
return object_config
OBJECTS_SCHEMA = vol.Schema(vol.All(filters_for_all_tracked_objects,
{
'track': [str],
vol.Optional('filters', default = {}): FILTER_SCHEMA.extend(
{
str: {
'min_score': float,
'mask': vol.Any(str, [str]),
}
})
}
))
def each_role_used_once(inputs):
roles = [role for i in inputs for role in i['roles']]
roles_set = set(roles)
if len(roles) > len(roles_set):
raise ValueError
return inputs
def detect_is_required(inputs):
roles = [role for i in inputs for role in i['roles']]
if not 'detect' in roles:
raise ValueError
return inputs
CAMERA_FFMPEG_SCHEMA = vol.Schema(
{
vol.Required('inputs'): vol.All([{
vol.Required('path'): str,
vol.Required('roles'): ['detect', 'clips', 'record', 'rtmp'],
'global_args': vol.Any(str, [str]),
'hwaccel_args': vol.Any(str, [str]),
'input_args': vol.Any(str, [str]),
}], vol.Msg(each_role_used_once, msg="Each input role may only be used once"),
vol.Msg(detect_is_required, msg="The detect role is required")),
'global_args': vol.Any(str, [str]),
'hwaccel_args': vol.Any(str, [str]),
'input_args': vol.Any(str, [str]),
'output_args': {
vol.Optional('detect', default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
vol.Optional('record', default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
vol.Optional('clips', default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
vol.Optional('rtmp', default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
}
}
)
def ensure_zones_and_cameras_have_different_names(cameras):
zones = [zone for camera in cameras.values() for zone in camera['zones'].keys()]
for zone in zones:
if zone in cameras.keys():
raise ValueError
return cameras
CAMERAS_SCHEMA = vol.Schema(vol.All(
{
str: {
vol.Required('ffmpeg'): CAMERA_FFMPEG_SCHEMA,
vol.Required('height'): int,
vol.Required('width'): int,
'fps': int,
vol.Optional('best_image_timeout', default=60): int,
vol.Optional('zones', default={}): {
str: {
vol.Required('coordinates'): vol.Any(str, [str]),
vol.Optional('filters', default={}): FILTER_SCHEMA
}
},
vol.Optional('clips', default={}): {
vol.Optional('enabled', default=False): bool,
vol.Optional('pre_capture', default=5): int,
vol.Optional('post_capture', default=5): int,
vol.Optional('required_zones', default=[]): [str],
'objects': [str],
vol.Optional('retain', default={}): RETAIN_SCHEMA,
},
vol.Optional('record', default={}): {
'enabled': bool,
'retain_days': int,
},
vol.Optional('rtmp', default={}): {
vol.Required('enabled', default=True): bool,
},
vol.Optional('snapshots', default={}): {
vol.Optional('enabled', default=False): bool,
vol.Optional('timestamp', default=False): bool,
vol.Optional('bounding_box', default=False): bool,
vol.Optional('crop', default=False): bool,
vol.Optional('required_zones', default=[]): [str],
'height': int,
vol.Optional('retain', default={}): RETAIN_SCHEMA,
},
vol.Optional('mqtt', default={}): {
vol.Optional('enabled', default=True): bool,
vol.Optional('timestamp', default=True): bool,
vol.Optional('bounding_box', default=True): bool,
vol.Optional('crop', default=True): bool,
vol.Optional('height', default=270): int,
vol.Optional('required_zones', default=[]): [str],
},
vol.Optional('objects', default={}): OBJECTS_SCHEMA,
vol.Optional('motion', default={}): MOTION_SCHEMA,
vol.Optional('detect', default={}): DETECT_SCHEMA.extend({
vol.Optional('enabled', default=True): bool
})
}
}, vol.Msg(ensure_zones_and_cameras_have_different_names, msg='Zones cannot share names with cameras'))
)
FRIGATE_CONFIG_SCHEMA = vol.Schema(
{
vol.Optional('database', default={}): {
vol.Optional('path', default=os.path.join(CLIPS_DIR, 'frigate.db')): str
},
vol.Optional('model', default={'width': 320, 'height': 320}): {
vol.Required('width'): int,
vol.Required('height'): int
},
vol.Optional('detectors', default=DEFAULT_DETECTORS): DETECTORS_SCHEMA,
'mqtt': MQTT_SCHEMA,
vol.Optional('logger', default={'default': 'info', 'logs': {}}): {
vol.Optional('default', default='info'): vol.In(['info', 'debug', 'warning', 'error', 'critical']),
vol.Optional('logs', default={}): {str: vol.In(['info', 'debug', 'warning', 'error', 'critical']) }
},
vol.Optional('snapshots', default={}): {
vol.Optional('retain', default={}): RETAIN_SCHEMA
},
vol.Optional('clips', default={}): CLIPS_SCHEMA,
vol.Optional('record', default={}): {
vol.Optional('enabled', default=False): bool,
vol.Optional('retain_days', default=30): int,
},
vol.Optional('ffmpeg', default={}): GLOBAL_FFMPEG_SCHEMA,
vol.Optional('objects', default={}): OBJECTS_SCHEMA,
vol.Optional('motion', default={}): MOTION_SCHEMA,
vol.Optional('detect', default={}): DETECT_SCHEMA,
vol.Required('cameras', default={}): CAMERAS_SCHEMA,
vol.Optional('environment_vars', default={}): { str: str }
}
)
class DatabaseConfig():
def __init__(self, config):
self._path = config['path']
@property
def path(self):
return self._path
def to_dict(self):
return {
'path': self.path
}
class ModelConfig():
def __init__(self, config):
self._width = config['width']
self._height = config['height']
@property
def width(self):
return self._width
@property
def height(self):
return self._height
def to_dict(self):
return {
'width': self.width,
'height': self.height
}
class DetectorConfig():
def __init__(self, config):
self._type = config['type']
self._device = config['device']
self._num_threads = config['num_threads']
@property
def type(self):
return self._type
@property
def device(self):
return self._device
@property
def num_threads(self):
return self._num_threads
def to_dict(self):
return {
'type': self.type,
'device': self.device,
'num_threads': self.num_threads
}
class LoggerConfig():
def __init__(self, config):
self._default = config['default'].upper()
self._logs = {k: v.upper() for k, v in config['logs'].items()}
@property
def default(self):
return self._default
@property
def logs(self):
return self._logs
def to_dict(self):
return {
'default': self.default,
'logs': self.logs
}
class MqttConfig():
def __init__(self, config):
self._host = config['host']
self._port = config['port']
self._topic_prefix = config['topic_prefix']
self._client_id = config['client_id']
self._user = config.get('user')
self._password = config.get('password')
self._stats_interval = config.get('stats_interval')
@property
def host(self):
return self._host
@property
def port(self):
return self._port
@property
def topic_prefix(self):
return self._topic_prefix
@property
def client_id(self):
return self._client_id
@property
def user(self):
return self._user
@property
def password(self):
return self._password
@property
def stats_interval(self):
return self._stats_interval
def to_dict(self):
return {
'host': self.host,
'port': self.port,
'topic_prefix': self.topic_prefix,
'client_id': self.client_id,
'user': self.user,
'stats_interval': self.stats_interval
}
class CameraInput():
def __init__(self, camera_config, global_config, ffmpeg_input):
self._path = ffmpeg_input['path']
self._roles = ffmpeg_input['roles']
self._global_args = ffmpeg_input.get('global_args', camera_config.get('global_args', global_config['global_args']))
self._hwaccel_args = ffmpeg_input.get('hwaccel_args', camera_config.get('hwaccel_args', global_config['hwaccel_args']))
self._input_args = ffmpeg_input.get('input_args', camera_config.get('input_args', global_config['input_args']))
@property
def path(self):
return self._path
@property
def roles(self):
return self._roles
@property
def global_args(self):
return self._global_args if isinstance(self._global_args, list) else self._global_args.split(' ')
@property
def hwaccel_args(self):
return self._hwaccel_args if isinstance(self._hwaccel_args, list) else self._hwaccel_args.split(' ')
@property
def input_args(self):
return self._input_args if isinstance(self._input_args, list) else self._input_args.split(' ')
class CameraFfmpegConfig():
def __init__(self, global_config, config):
self._inputs = [CameraInput(config, global_config, i) for i in config['inputs']]
self._output_args = config.get('output_args', global_config['output_args'])
@property
def inputs(self):
return self._inputs
@property
def output_args(self):
return {k: v if isinstance(v, list) else v.split(' ') for k, v in self._output_args.items()}
class RetainConfig():
def __init__(self, global_config, config):
self._default = config.get('default', global_config.get('default'))
self._objects = config.get('objects', global_config.get('objects', {}))
@property
def default(self):
return self._default
@property
def objects(self):
return self._objects
def to_dict(self):
return {
'default': self.default,
'objects': self.objects
}
class ClipsConfig():
def __init__(self, config):
self._max_seconds = config['max_seconds']
self._tmpfs_cache_size = config.get('tmpfs_cache_size', '').strip()
self._retain = RetainConfig(config['retain'], config['retain'])
@property
def max_seconds(self):
return self._max_seconds
@property
def tmpfs_cache_size(self):
return self._tmpfs_cache_size
@property
def retain(self):
return self._retain
def to_dict(self):
return {
'max_seconds': self.max_seconds,
'tmpfs_cache_size': self.tmpfs_cache_size,
'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, 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 = config.get('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._filters = { name: FilterConfig(global_config.get('filters').get(name, {}), config.get('filters').get(name, {}), 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,
'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