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Reference configuration for the blog https://dev.to/vinodsr/cctv-object-detection-using-ml-part-2-with-pi-glf
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| WEB_POrt: 5000 | |
| debug: 1 | |
| mqtt: | |
| host: 192.168.1.100 | |
| topic_prefix: frigate | |
| # client_id: frigate # Optional -- set to override default client id of 'frigate' if running multiple instances | |
| # user: username # Optional | |
| ################# | |
| ## Environment variables that begin with 'FRIGATE_' may be referenced in {}. | |
| ## password: '{FRIGATE_MQTT_PASSWORD}' | |
| ################# | |
| # password: password # Optional | |
| ################# | |
| # Default ffmpeg args. Optional and can be overwritten per camera. | |
| # Should work with most RTSP cameras that send h264 video | |
| # Built from the properties below with: | |
| # "ffmpeg" + global_args + input_args + "-i" + input + output_args | |
| ################# | |
| # ffmpeg: | |
| # global_args: | |
| # - -hide_banner | |
| # - -loglevel | |
| # - panic | |
| # hwaccel_args: [] | |
| # input_args: | |
| # - -avoid_negative_ts | |
| # - make_zero | |
| # - -fflags | |
| # - nobuffer | |
| # - -flags | |
| # - low_delay | |
| # - -strict | |
| # - experimental | |
| # - -fflags | |
| # - +genpts+discardcorrupt | |
| # - -vsync | |
| # - drop | |
| # - -rtsp_transport | |
| # - tcp | |
| # - -stimeout | |
| # - '5000000' | |
| # - -use_wallclock_as_timestamps | |
| # - '1' | |
| # output_args: | |
| # - -f | |
| # - rawvideo | |
| # - -pix_fmt | |
| # - rgb24 | |
| #################### | |
| # Global object configuration. Applies to all cameras | |
| # UNless overridden at the camera levels. | |
| # Keys must be valid labels. By default, the model uses coco (https://dl.google.com/coral/canned_models/coco_labels.txt). | |
| # All labels from the model are reported over MQTT. These values are used to filter out false positives. | |
| # min_area (optional): minimum width*height of the bounding box for the detected person | |
| # max_area (optional): maximum width*height of the bounding box for the detected person | |
| # threshold (optional): The minimum decimal percentage (50% hit = 0.5) for the confidence from tensorflow | |
| #################### | |
| objects: | |
| track: | |
| - person | |
| # - car | |
| # - truck | |
| filters: | |
| person: | |
| min_area: 5000 | |
| max_area: 100000 | |
| min_score: 0.3 | |
| threshold: 0.8 | |
| zones_old: | |
| ################# | |
| # Name of the zone | |
| ################ | |
| front_steps: | |
| front: | |
| #################### | |
| # For each camera, a list of x,y coordinates to define the polygon of the zone. The top | |
| # left corner is 0,0. Can also be a comma separated string of all x,y coordinates combined. | |
| # The same zone can exist across multiple cameras if they have overlapping FOVs. | |
| # An object is determined to be in the zone based on whether or not the bottom center | |
| # of it's bounding box is within the polygon. The polygon must have at least 3 points. | |
| # Coordinates can be generated at https://www.image-map.net/ | |
| #################### | |
| coordinates: | |
| - 0,0 | |
| - 747,939 | |
| - 788,805 | |
| ################ | |
| # Zone level object filters. These are applied in addition to the global and camera filters | |
| # and should be more restrictive than the global and camera filters. The global and camera | |
| # filters are applied upstream. | |
| ################ | |
| filters: | |
| person: | |
| min_area: 5000 | |
| max_area: 100000 | |
| threshold: 0.8 | |
| driveway2: | |
| front: | |
| coordinates: 0,0,800,200,900,200 | |
| cameras: | |
| front: | |
| ffmpeg: | |
| ################ | |
| # Source passed to ffmpeg after the -i parameter. Supports anything compatible with OpenCV and FFmpeg. | |
| # Environment variables that begin with 'FRIGATE_' may be referenced in {} | |
| ################ | |
| input: rtsp://<username>:<password>@<cctv device ip>:554/Streaming/channels/102 | |
| ################# | |
| # These values will override default values for just this camera | |
| ################# | |
| # global_args: [] | |
| # hwaccel_args: [] | |
| # input_args: [] | |
| # output_args: [] | |
| ################ | |
| ## Optionally specify the resolution of the video feed. Frigate will try to auto detect if not specified | |
| ################ | |
| # height: 1280 | |
| # width: 720 | |
| ################ | |
| ## Optional mask. Must be the same aspect ratio as your video feed. Value is either the | |
| ## name of a file in the config directory or a base64 encoded bmp image prefixed with | |
| ## 'base64,' eg. 'base64,asfasdfasdf....'. | |
| ## | |
| ## The mask works by looking at the bottom center of the bounding box for the detected | |
| ## person in the image. If that pixel in the mask is a black pixel, it ignores it as a | |
| ## false positive. In my mask, the grass and driveway visible from my backdoor camera | |
| ## are white. The garage doors, sky, and trees (anywhere it would be impossible for a | |
| ## person to stand) are black. | |
| ## | |
| ## Masked areas are also ignored for motion detection. | |
| ################ | |
| # mask: back-mask.bmp | |
| ################ | |
| # Allows you to limit the framerate within frigate for cameras that do not support | |
| # custom framerates. A value of 1 tells frigate to look at every frame, 2 every 2nd frame, | |
| # 3 every 3rd frame, etc. | |
| ################ | |
| take_frame: 15 | |
| ################ | |
| # This will save a clip for each tracked object by frigate along with a json file that contains | |
| # data related to the tracked object. This works by telling ffmpeg to write video segments to /cache | |
| # from the video stream without re-encoding. Clips are then created by using ffmpeg to merge segments | |
| # without re-encoding. The segments saved are unaltered from what frigate receives to avoid re-encoding. | |
| # They do not contain bounding boxes. 30 seconds of video is added to the start of the clip. These are | |
| # optimized to capture "false_positive" examples for improving frigate. | |
| # | |
| # NOTE: This will only work for camera feeds that can be copied into the mp4 container format without | |
| # encoding such as h264. I do not expect this to work for mjpeg streams, and it may not work for many other | |
| # types of streams. | |
| # | |
| # WARNING: Videos in /cache are retained until there are no ongoing events. If you are tracking cars or | |
| # other objects for long periods of time, the cache will continue to grow indefinitely. | |
| ################ | |
| save_clips: | |
| enabled: True | |
| ######### | |
| # Number of seconds before the event to include in the clips | |
| ######### | |
| pre_capture: 30 | |
| ################ | |
| # Configuration for the snapshots in the debug view and mqtt | |
| ################ | |
| snapshots: | |
| show_timestamp: True | |
| draw_zones: True | |
| ################ | |
| # Camera level object config. This config is merged with the global config above. | |
| ################ | |
| objects: | |
| track: | |
| - person | |
| filters: | |
| person: | |
| min_area: 5000 | |
| max_area: 100000 | |
| min_score: 0.3 | |
| threshold: 0.8 | |
| back: | |
| ffmpeg: | |
| ################ | |
| # Source passed to ffmpeg after the -i parameter. Supports anything compatible with OpenCV and FFmpeg. | |
| # Environment variables that begin with 'FRIGATE_' may be referenced in {} | |
| ################ | |
| input: rtsp://admin:Password12_@192.168.1.18:554/Streaming/channels/402 | |
| ################# | |
| # These values will override default values for just this camera | |
| ################# | |
| # global_args: [] | |
| # hwaccel_args: [] | |
| # input_args: [] | |
| # output_args: [] | |
| ################ | |
| ## Optionally specify the resolution of the video feed. Frigate will try to auto detect if not specified | |
| ################ | |
| # height: 1280 | |
| # width: 720 | |
| ################ | |
| ## Optional mask. Must be the same aspect ratio as your video feed. Value is either the | |
| ## name of a file in the config directory or a base64 encoded bmp image prefixed with | |
| ## 'base64,' eg. 'base64,asfasdfasdf....'. | |
| ## | |
| ## The mask works by looking at the bottom center of the bounding box for the detected | |
| ## person in the image. If that pixel in the mask is a black pixel, it ignores it as a | |
| ## false positive. In my mask, the grass and driveway visible from my backdoor camera | |
| ## are white. The garage doors, sky, and trees (anywhere it would be impossible for a | |
| ## person to stand) are black. | |
| ## | |
| ## Masked areas are also ignored for motion detection. | |
| ################ | |
| # mask: back-mask.bmp | |
| ################ | |
| # Allows you to limit the framerate within frigate for cameras that do not support | |
| # custom framerates. A value of 1 tells frigate to look at every frame, 2 every 2nd frame, | |
| # 3 every 3rd frame, etc. | |
| ################ | |
| take_frame: 10 | |
| ################ | |
| # This will save a clip for each tracked object by frigate along with a json file that contains | |
| # data related to the tracked object. This works by telling ffmpeg to write video segments to /cache | |
| # from the video stream without re-encoding. Clips are then created by using ffmpeg to merge segments | |
| # without re-encoding. The segments saved are unaltered from what frigate receives to avoid re-encoding. | |
| # They do not contain bounding boxes. 30 seconds of video is added to the start of the clip. These are | |
| # optimized to capture "false_positive" examples for improving frigate. | |
| # | |
| # NOTE: This will only work for camera feeds that can be copied into the mp4 container format without | |
| # encoding such as h264. I do not expect this to work for mjpeg streams, and it may not work for many other | |
| # types of streams. | |
| # | |
| # WARNING: Videos in /cache are retained until there are no ongoing events. If you are tracking cars or | |
| # other objects for long periods of time, the cache will continue to grow indefinitely. | |
| ################ | |
| save_clips: | |
| enabled: True | |
| ######### | |
| # Number of seconds before the event to include in the clips | |
| ######### | |
| pre_capture: 30 | |
| ################ | |
| # Configuration for the snapshots in the debug view and mqtt | |
| ################ | |
| snapshots: | |
| show_timestamp: True | |
| draw_zones: True | |
| ################ | |
| # Camera level object config. This config is merged with the global config above. | |
| ################ | |
| objects: | |
| track: | |
| - person | |
| - car | |
| - umbrella | |
| filters: | |
| person: | |
| min_area: 5000 | |
| max_area: 100000 | |
| threshold: 0.8 | |
| min_score: 0.3 |
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| [ | |
| { | |
| "id": "e1b17e4f.9b4b7", | |
| "type": "tab", | |
| "label": "Flow 4", | |
| "disabled": false, | |
| "info": "" | |
| }, | |
| { | |
| "id": "4d6ed5d0.8ad21c", | |
| "type": "mqtt in", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "", | |
| "topic": "frigate/front/person/event", | |
| "qos": "0", | |
| "datatype": "auto", | |
| "broker": "2c6c3137.46f4ee", | |
| "x": 250, | |
| "y": 220, | |
| "wires": [ | |
| [ | |
| "8f3c4648.383b28", | |
| "5122c127.8f448" | |
| ] | |
| ] | |
| }, | |
| { | |
| "id": "8f3c4648.383b28", | |
| "type": "debug", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "Frigate", | |
| "active": true, | |
| "tosidebar": true, | |
| "console": false, | |
| "tostatus": false, | |
| "complete": "true", | |
| "targetType": "full", | |
| "statusVal": "", | |
| "statusType": "auto", | |
| "x": 470, | |
| "y": 600, | |
| "wires": [] | |
| }, | |
| { | |
| "id": "5122c127.8f448", | |
| "type": "function", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "Parse JSON", | |
| "func": "\nmsg.payload = JSON.parse(msg.payload);\nreturn msg;", | |
| "outputs": 1, | |
| "noerr": 0, | |
| "initialize": "", | |
| "finalize": "", | |
| "x": 990, | |
| "y": 220, | |
| "wires": [ | |
| [ | |
| "ab3aee8f.f7437" | |
| ] | |
| ] | |
| }, | |
| { | |
| "id": "bdc966c7.f15408", | |
| "type": "mqtt in", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "", | |
| "topic": "frigate/#", | |
| "qos": "0", | |
| "datatype": "auto", | |
| "broker": "2c6c3137.46f4ee", | |
| "x": 190, | |
| "y": 420, | |
| "wires": [ | |
| [ | |
| "8f3c4648.383b28" | |
| ] | |
| ] | |
| }, | |
| { | |
| "id": "ab3aee8f.f7437", | |
| "type": "function", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "Send picture", | |
| "func": "\nimage = Buffer.from(msg.payload.image, \"base64\");\nlet camera = \"!\";\ntry{\n camera = msg.topic.split(\"/\")[1];\n} catch(e){\n \n}\n\nlet message = `Someone 🧍 is at the ${camera} side`;\nif(msg.payload.status === \"OFF\"){\n message = `Someone 🚶 had left ${camera} side`;\n}\nvar pl = {\n content: image,\n caption: message,\n type : 'photo',\n chatId: <add your telegramID>\n}\n\nmsg.payload = pl;\n\nreturn msg;", | |
| "outputs": 1, | |
| "noerr": 9, | |
| "initialize": "", | |
| "finalize": "", | |
| "x": 1230, | |
| "y": 220, | |
| "wires": [ | |
| [ | |
| "d723a983.c93188" | |
| ] | |
| ] | |
| }, | |
| { | |
| "id": "d723a983.c93188", | |
| "type": "telegram sender", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "Send Guard Status", | |
| "bot": "88cf9c06.48b42", | |
| "x": 1510, | |
| "y": 320, | |
| "wires": [ | |
| [] | |
| ] | |
| }, | |
| { | |
| "id": "639d4f5.3b21ab", | |
| "type": "function", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "Frigate Status", | |
| "func": "let oldmsg = msg;\nmsg = {} \nmsg.payload = {};\nmsg.payload.chatId = []; // add your telegramid\nmsg.payload.type = \"message\";\nlet message = \"Frigate Status : \"+ oldmsg.payload;\nmsg.payload.content = message;\nmsg.payload.options = {\n parse_mode : \"Markdown\"\n}\nreturn msg;", | |
| "outputs": 1, | |
| "noerr": 0, | |
| "initialize": "", | |
| "finalize": "", | |
| "x": 1240, | |
| "y": 340, | |
| "wires": [ | |
| [ | |
| "d723a983.c93188" | |
| ] | |
| ] | |
| }, | |
| { | |
| "id": "a39696e5.756f98", | |
| "type": "mqtt in", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "", | |
| "topic": "frigate/available", | |
| "qos": "0", | |
| "datatype": "auto", | |
| "broker": "2c6c3137.46f4ee", | |
| "x": 220, | |
| "y": 340, | |
| "wires": [ | |
| [ | |
| "639d4f5.3b21ab" | |
| ] | |
| ] | |
| }, | |
| { | |
| "id": "15f05761.a89eb9", | |
| "type": "mqtt in", | |
| "z": "e1b17e4f.9b4b7", | |
| "d": true, | |
| "name": "", | |
| "topic": "frigate/front/person", | |
| "qos": "0", | |
| "datatype": "auto", | |
| "broker": "2c6c3137.46f4ee", | |
| "x": 230, | |
| "y": 280, | |
| "wires": [ | |
| [] | |
| ] | |
| }, | |
| { | |
| "id": "5c28bc9a.5bc114", | |
| "type": "mqtt in", | |
| "z": "e1b17e4f.9b4b7", | |
| "name": "", | |
| "topic": "frigate/back/person/event", | |
| "qos": "0", | |
| "datatype": "auto", | |
| "broker": "2c6c3137.46f4ee", | |
| "x": 250, | |
| "y": 160, | |
| "wires": [ | |
| [ | |
| "8f3c4648.383b28", | |
| "5122c127.8f448" | |
| ] | |
| ] | |
| }, | |
| { | |
| "id": "2c6c3137.46f4ee", | |
| "type": "mqtt-broker", | |
| "z": "", | |
| "name": "", | |
| "broker": "localhost", | |
| "port": "1883", | |
| "clientid": "", | |
| "usetls": false, | |
| "compatmode": false, | |
| "keepalive": "60", | |
| "cleansession": true, | |
| "birthTopic": "", | |
| "birthQos": "0", | |
| "birthPayload": "", | |
| "closeTopic": "", | |
| "closeQos": "0", | |
| "closePayload": "", | |
| "willTopic": "", | |
| "willQos": "0", | |
| "willPayload": "" | |
| }, | |
| { | |
| "id": "88cf9c06.48b42", | |
| "type": "telegram bot", | |
| "z": "", | |
| "botname": "BotName", | |
| "usernames": "", | |
| "chatids": "", | |
| "baseapiurl": "", | |
| "updatemode": "polling", | |
| "pollinterval": "300", | |
| "usesocks": false, | |
| "sockshost": "", | |
| "socksport": "6667", | |
| "socksusername": "anonymous", | |
| "sockspassword": "", | |
| "bothost": "", | |
| "localbotport": "8443", | |
| "publicbotport": "8443", | |
| "privatekey": "", | |
| "certificate": "", | |
| "useselfsignedcertificate": false, | |
| "sslterminated": false, | |
| "verboselogging": true | |
| } | |
| ] |
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