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[Support]: Masks are completely ignored.
See original GitHub issueDescribe the problem you are having
It looks like the masks are being ignore completely. Frigate is detecting objects directly in the area that have been masked. See the screenshot from live debug with and without the mask filter.
Version
0.10.0-BFECEE9
Frigate config file
{
"birdseye": {
"enabled": false,
"height": 720,
"mode": "objects",
"quality": 8,
"width": 1280
},
"cameras": {
"forhave": {
"best_image_timeout": 60,
"detect": {
"enabled": true,
"fps": 6,
"height": 1080,
"max_disappeared": 30,
"stationary": {
"interval": 0,
"max_frames": {
"default": null,
"objects": {}
},
"threshold": 60
},
"width": 1920
},
"ffmpeg": {
"global_args": [
"-hide_banner",
"-loglevel",
"warning"
],
"hwaccel_args": [
"-hwaccel",
"qsv",
"-qsv_device",
"/dev/dri/renderD128"
],
"input_args": [
"-avoid_negative_ts",
"make_zero",
"-fflags",
"+genpts+discardcorrupt",
"-rtsp_transport",
"tcp",
"-stimeout",
"5000000",
"-use_wallclock_as_timestamps",
"1"
],
"inputs": [
{
"global_args": [],
"hwaccel_args": [],
"input_args": [],
"path": "rtsp://xxx:xxx@xxx:554/streaming/channels/103",
"roles": [
"detect"
]
},
{
"global_args": [],
"hwaccel_args": [],
"input_args": [],
"path": "rtsp://xxx:xxx@xxx:554/streaming/channels/101",
"roles": [
"record",
"rtmp"
]
}
],
"output_args": {
"detect": [
"-f",
"rawvideo",
"-pix_fmt",
"yuv420p"
],
"record": "-f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy",
"rtmp": [
"-c",
"copy",
"-f",
"flv"
]
}
},
"ffmpeg_cmds": [
{
"cmd": "ffmpeg -hide_banner -loglevel warning -hwaccel qsv -qsv_device /dev/dri/renderD128 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1 -i rtsp://xxx:xxx@xxx:554/streaming/channels/103 -r 6 -s 1920x1080 -f rawvideo -pix_fmt yuv420p pipe:",
"roles": [
"detect"
]
},
{
"cmd": "ffmpeg -hide_banner -loglevel warning -hwaccel qsv -qsv_device /dev/dri/renderD128 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1 -i rtsp://xxx:xxx@xxx:554/streaming/channels/101 -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy /tmp/cache/forhave-%Y%m%d%H%M%S.mp4 -c copy -f flv rtmp://127.0.0.1/live/forhave",
"roles": [
"record",
"rtmp"
]
}
],
"live": {
"height": 720,
"quality": 8
},
"motion": {
"contour_area": 30,
"delta_alpha": 0.2,
"frame_alpha": 0.2,
"frame_height": 50,
"mask": [
"1159,567,1205,727,1016,772,978,606",
"0,1080,611,1080,410,610,298,135,848,0,0,0"
],
"threshold": 25
},
"mqtt": {
"bounding_box": true,
"crop": true,
"enabled": true,
"height": 270,
"quality": 70,
"required_zones": [],
"timestamp": true
},
"name": "forhave",
"objects": {
"filters": {
"car": {
"mask": null,
"max_area": 24000000,
"min_area": 0,
"min_score": 0.5,
"threshold": 0.7
},
"cat": {
"mask": null,
"max_area": 24000000,
"min_area": 0,
"min_score": 0.5,
"threshold": 0.7
},
"dog": {
"mask": null,
"max_area": 24000000,
"min_area": 0,
"min_score": 0.5,
"threshold": 0.7
},
"person": {
"mask": null,
"max_area": 24000000,
"min_area": 0,
"min_score": 0.5,
"threshold": 0.7
}
},
"mask": "",
"track": [
"person",
"car",
"cat",
"dog"
]
},
"record": {
"enabled": true,
"events": {
"max_seconds": 300,
"objects": null,
"post_capture": 5,
"pre_capture": 5,
"required_zones": [],
"retain": {
"default": 14,
"mode": "active_objects",
"objects": {}
}
},
"expire_interval": 60,
"retain": {
"days": 14,
"mode": "active_objects"
},
"retain_days": null
},
"rtmp": {
"enabled": true
},
"snapshots": {
"bounding_box": true,
"clean_copy": true,
"crop": false,
"enabled": true,
"height": null,
"quality": 70,
"required_zones": [],
"retain": {
"default": 10,
"mode": "motion",
"objects": {}
},
"timestamp": false
},
"timestamp_style": {
"color": {
"blue": 255,
"green": 255,
"red": 255
},
"effect": null,
"format": "%m/%d/%Y %H:%M:%S",
"position": "tl",
"thickness": 2
},
"zones": {
"zone_forhave": {
"coordinates": "387,506,0,644,0,1080,1502,1080,1570,510,1558,187,905,203,734,293,819,328,565,508",
"filters": {},
"objects": []
}
}
},
"terasse": {
"best_image_timeout": 60,
"detect": {
"enabled": true,
"fps": 6,
"height": 1080,
"max_disappeared": 30,
"stationary": {
"interval": 0,
"max_frames": {
"default": null,
"objects": {}
},
"threshold": 60
},
"width": 1920
},
"ffmpeg": {
"global_args": [
"-hide_banner",
"-loglevel",
"warning"
],
"hwaccel_args": [
"-hwaccel",
"qsv",
"-qsv_device",
"/dev/dri/renderD128"
],
"input_args": [
"-avoid_negative_ts",
"make_zero",
"-fflags",
"+genpts+discardcorrupt",
"-rtsp_transport",
"tcp",
"-stimeout",
"5000000",
"-use_wallclock_as_timestamps",
"1"
],
"inputs": [
{
"global_args": [],
"hwaccel_args": [],
"input_args": [],
"path": "rtsp://xxx:xxx@xxx:554/streaming/channels/103",
"roles": [
"detect"
]
},
{
"global_args": [],
"hwaccel_args": [],
"input_args": [],
"path": "rtsp://xxx:xxx@xxx:554/streaming/channels/101",
"roles": [
"record",
"rtmp"
]
}
],
"output_args": {
"detect": [
"-f",
"rawvideo",
"-pix_fmt",
"yuv420p"
],
"record": "-f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy",
"rtmp": [
"-c",
"copy",
"-f",
"flv"
]
}
},
"ffmpeg_cmds": [
{
"cmd": "ffmpeg -hide_banner -loglevel warning -hwaccel qsv -qsv_device /dev/dri/renderD128 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1 -i rtsp://xxx:xxx@xxx:554/streaming/channels/103 -r 6 -s 1920x1080 -f rawvideo -pix_fmt yuv420p pipe:",
"roles": [
"detect"
]
},
{
"cmd": "ffmpeg -hide_banner -loglevel warning -hwaccel qsv -qsv_device /dev/dri/renderD128 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1 -i rtsp://xxx:xxx@xxx:554/streaming/channels/101 -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy /tmp/cache/terasse-%Y%m%d%H%M%S.mp4 -c copy -f flv rtmp://127.0.0.1/live/terasse",
"roles": [
"record",
"rtmp"
]
}
],
"live": {
"height": 720,
"quality": 8
},
"motion": {
"contour_area": 30,
"delta_alpha": 0.2,
"frame_alpha": 0.2,
"frame_height": 50,
"mask": [
"0,198,947,0,0,0",
"1920,209,1920,0,988,0"
],
"threshold": 25
},
"mqtt": {
"bounding_box": true,
"crop": true,
"enabled": true,
"height": 270,
"quality": 70,
"required_zones": [],
"timestamp": true
},
"name": "terasse",
"objects": {
"filters": {
"car": {
"mask": null,
"max_area": 24000000,
"min_area": 0,
"min_score": 0.5,
"threshold": 0.7
},
"cat": {
"mask": null,
"max_area": 24000000,
"min_area": 0,
"min_score": 0.5,
"threshold": 0.7
},
"dog": {
"mask": null,
"max_area": 24000000,
"min_area": 0,
"min_score": 0.5,
"threshold": 0.7
},
"person": {
"mask": null,
"max_area": 24000000,
"min_area": 0,
"min_score": 0.5,
"threshold": 0.7
}
},
"mask": "",
"track": [
"person",
"car",
"cat",
"dog"
]
},
"record": {
"enabled": true,
"events": {
"max_seconds": 300,
"objects": null,
"post_capture": 5,
"pre_capture": 5,
"required_zones": [],
"retain": {
"default": 14,
"mode": "active_objects",
"objects": {}
}
},
"expire_interval": 60,
"retain": {
"days": 14,
"mode": "active_objects"
},
"retain_days": null
},
"rtmp": {
"enabled": true
},
"snapshots": {
"bounding_box": true,
"clean_copy": true,
"crop": false,
"enabled": true,
"height": null,
"quality": 70,
"required_zones": [],
"retain": {
"default": 10,
"mode": "motion",
"objects": {}
},
"timestamp": false
},
"timestamp_style": {
"color": {
"blue": 255,
"green": 255,
"red": 255
},
"effect": null,
"format": "%m/%d/%Y %H:%M:%S",
"position": "tl",
"thickness": 2
},
"zones": {
"haven": {
"coordinates": "1920,1080,1920,1080,1920,430,1736,302,1197,276,562,293,0,392,0,1080",
"filters": {},
"objects": []
}
}
}
},
"database": {
"path": "/media/frigate/frigate.db"
},
"detect": {
"enabled": true,
"fps": 5,
"height": 720,
"max_disappeared": null,
"stationary": {
"interval": 0,
"max_frames": {
"default": null,
"objects": {}
},
"threshold": null
},
"width": 1280
},
"detectors": {
"cpu": {
"device": "usb",
"num_threads": 3,
"type": "cpu"
}
},
"environment_vars": {},
"ffmpeg": {
"global_args": [
"-hide_banner",
"-loglevel",
"warning"
],
"hwaccel_args": [
"-hwaccel",
"qsv",
"-qsv_device",
"/dev/dri/renderD128"
],
"input_args": [
"-avoid_negative_ts",
"make_zero",
"-fflags",
"+genpts+discardcorrupt",
"-rtsp_transport",
"tcp",
"-stimeout",
"5000000",
"-use_wallclock_as_timestamps",
"1"
],
"output_args": {
"detect": [
"-f",
"rawvideo",
"-pix_fmt",
"yuv420p"
],
"record": "-f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy",
"rtmp": [
"-c",
"copy",
"-f",
"flv"
]
}
},
"live": {
"height": 720,
"quality": 8
},
"logger": {
"default": "info",
"logs": {}
},
"model": {
"height": 320,
"labelmap": {},
"labelmap_path": null,
"path": null,
"width": 320
},
"motion": null,
"mqtt": {
"client_id": "frigate",
"host": "xxx",
"password": "xxx",
"port": 1883,
"stats_interval": 60,
"tls_ca_certs": null,
"tls_client_cert": null,
"tls_client_key": null,
"tls_insecure": null,
"topic_prefix": "frigate",
"user": "frigate"
},
"objects": {
"filters": null,
"mask": "",
"track": [
"person",
"car",
"cat",
"dog"
]
},
"record": {
"enabled": true,
"events": {
"max_seconds": 300,
"objects": null,
"post_capture": 5,
"pre_capture": 5,
"required_zones": [],
"retain": {
"default": 14,
"mode": "active_objects",
"objects": {}
}
},
"expire_interval": 60,
"retain": {
"days": 14,
"mode": "active_objects"
},
"retain_days": null
},
"rtmp": {
"enabled": true
},
"snapshots": {
"bounding_box": true,
"clean_copy": true,
"crop": false,
"enabled": true,
"height": null,
"quality": 70,
"required_zones": [],
"retain": {
"default": 10,
"mode": "motion",
"objects": {}
},
"timestamp": false
},
"timestamp_style": {
"color": {
"blue": 255,
"green": 255,
"red": 255
},
"effect": null,
"format": "%m/%d/%Y %H:%M:%S",
"position": "tl",
"thickness": 2
}
}
Relevant log output
N/A
FFprobe output from your camera
N/A
Frigate stats
{"detection_fps":12.0,"detectors":{"cpu":{"detection_start":0.0,"inference_speed":36.53,"pid":241}},"forhave":{"camera_fps":6.0,"capture_pid":250,"detection_fps":0.0,"pid":247,"process_fps":6.0,"skipped_fps":0.0},"service":{"storage":{"/dev/shm":{"free":5361.5,"mount_type":"tmpfs","total":5368.7,"used":7.2},"/media/frigate/clips":{"free":6285934.5,"mount_type":"fuse.shfs","total":15998746.8,"used":9712812.4},"/media/frigate/recordings":{"free":6285934.5,"mount_type":"fuse.shfs","total":15998746.8,"used":9712812.4},"/tmp/cache":{"free":15552.0,"mount_type":"rootfs","total":16673.8,"used":1121.8}},"temperatures":{},"uptime":184249,"version":"0.10.0-bfecee9"},"terasse":{"camera_fps":6.0,"capture_pid":254,"detection_fps":12.0,"pid":249,"process_fps":6.1,"skipped_fps":0.0}}
Operating system
UNRAID
Install method
Docker Compose
Coral version
CPU (no coral)
Network connection
Wired
Camera make and model
Hikvision DS-2CD2347G2-LU
Any other information that may be helpful
Issue Analytics
- State:
- Created 2 years ago
- Comments:10 (4 by maintainers)
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Frigate is built around the idea that you tell it where you care about activity rather than where you want to ignore activity. It’s the inverse of what many people are used to. You want it to identify objects of interest outside of your zones and follow them so notifications are quicker and more accurate when they do enter your zone. I really need to add another guide to the docs as a follow on to the basic config setup.
Well part of the nuance is that there are two different types of masks. In this case you were using a
motionmask while there are alsoobjectmasks that would be used to block out objects.That being said, frigate is designed to not have true positive objects blocked out to ensure accurate tracking and objects are tracked as early / quickly as possible in the case they move into an area of interest. Zones are the best way to limit events / notifications to areas of interest while also having the tracking working as well as it can.