mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-12-23 19:11:14 +01:00
1073 lines
32 KiB
Python
1073 lines
32 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 = {
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'coral': {
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'type': 'edgetpu',
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'device': 'usb'
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}
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}
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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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{
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vol.Required('default',default=10): int,
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'objects': {
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str: int
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}
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}
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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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'tmpfs_cache_size': str,
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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','fatal']
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FFMPEG_INPUT_ARGS_DEFAULT = ['-avoid_negative_ts', 'make_zero',
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'-fflags', '+genpts+discardcorrupt',
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'-rtsp_transport', 'tcp',
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'-stimeout', '5000000',
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'-use_wallclock_as_timestamps', '1']
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DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT = ['-f', 'rawvideo',
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'-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 = ["-f", "segment", "-segment_time",
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"10", "-segment_format", "mp4", "-reset_timestamps", "1", "-strftime",
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"1", "-c", "copy", "-an"]
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RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "segment", "-segment_time",
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"60", "-segment_format", "mp4", "-reset_timestamps", "1", "-strftime",
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"1", "-c", "copy", "-an"]
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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(str, [str]),
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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(str, [str]),
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vol.Optional('output_args', default={}): {
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vol.Optional('detect', default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
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vol.Optional('record', default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
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vol.Optional('clips', default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
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vol.Optional('rtmp', default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
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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(
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{
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'max_disappeared': int
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}
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)
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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(vol.All(filters_for_all_tracked_objects,
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{
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'track': [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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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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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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}], 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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'output_args': {
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vol.Optional('detect', default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
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vol.Optional('record', default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
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vol.Optional('clips', default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
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vol.Optional('rtmp', default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
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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(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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'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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'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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},
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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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}, vol.Msg(ensure_zones_and_cameras_have_different_names, msg='Zones cannot share names with cameras'))
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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(['info', 'debug', 'warning', 'error', 'critical']),
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vol.Optional('logs', default={}): {str: vol.In(['info', 'debug', 'warning', 'error', 'critical']) }
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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 {
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'path': self.path
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}
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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 {
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'width': self.width,
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'height': self.height
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}
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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 {
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'default': self.default,
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'logs': self.logs
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}
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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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class CameraInput():
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def __init__(self, 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('global_args', global_config['global_args'])
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self._hwaccel_args = ffmpeg_input.get('hwaccel_args', global_config['hwaccel_args'])
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self._input_args = ffmpeg_input.get('input_args', global_config['input_args'])
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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 self._global_args if isinstance(self._global_args, list) else self._global_args.split(' ')
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@property
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def hwaccel_args(self):
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return self._hwaccel_args if isinstance(self._hwaccel_args, list) else self._hwaccel_args.split(' ')
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@property
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def input_args(self):
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return self._input_args if isinstance(self._input_args, list) else self._input_args.split(' ')
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class CameraFfmpegConfig():
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def __init__(self, global_config, config):
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self._inputs = [CameraInput(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 {k: v if isinstance(v, list) else v.split(' ') for k, v in self._output_args.items()}
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class RetainConfig():
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def __init__(self, global_config, config):
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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
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def objects(self):
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return self._objects
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def to_dict(self):
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return {
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'default': self.default,
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'objects': self.objects
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}
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class ClipsConfig():
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def __init__(self, config):
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self._max_seconds = config['max_seconds']
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self._tmpfs_cache_size = config.get('tmpfs_cache_size', '').strip()
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self._retain = RetainConfig(config['retain'], config['retain'])
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@property
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def max_seconds(self):
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return self._max_seconds
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@property
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def tmpfs_cache_size(self):
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return self._tmpfs_cache_size
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@property
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def retain(self):
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return self._retain
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|
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def to_dict(self):
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return {
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'max_seconds': self.max_seconds,
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'tmpfs_cache_size': self.tmpfs_cache_size,
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'retain': self.retain.to_dict()
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}
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class SnapshotsConfig():
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def __init__(self, config):
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self._retain = RetainConfig(config['retain'], config['retain'])
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@property
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def retain(self):
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return self._retain
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def to_dict(self):
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return {
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'retain': self.retain.to_dict()
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}
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class RecordConfig():
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def __init__(self, global_config, config):
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self._enabled = config.get('enabled', global_config['enabled'])
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self._retain_days = config.get('retain_days', global_config['retain_days'])
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@property
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def enabled(self):
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return self._enabled
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@property
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def retain_days(self):
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return self._retain_days
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|
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def to_dict(self):
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return {
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'enabled': self.enabled,
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'retain_days': self.retain_days,
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}
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|
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class FilterConfig():
|
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def __init__(self, global_config, config, frame_shape=None):
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self._min_area = config.get('min_area', global_config.get('min_area', 0))
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self._max_area = config.get('max_area', global_config.get('max_area', 24000000))
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self._threshold = config.get('threshold', global_config.get('threshold', 0.7))
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self._min_score = config.get('min_score', global_config.get('min_score', 0.5))
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self._raw_mask = config.get('mask')
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self._mask = create_mask(frame_shape, self._raw_mask) if self._raw_mask else None
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|
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@property
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def min_area(self):
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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'])
|
|
|
|
@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
|
|
|
|
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()
|
|
}
|
|
|
|
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')
|
|
|
|
@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
|
|
|
|
def to_dict(self):
|
|
return {
|
|
'enabled': self.enabled,
|
|
'timestamp': self.timestamp,
|
|
'bounding_box': self.bounding_box,
|
|
'crop': self.crop,
|
|
'height': self.height
|
|
}
|
|
|
|
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'])
|
|
|
|
@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
|
|
|
|
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()
|
|
}
|
|
|
|
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*2))
|
|
|
|
@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) 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
|