I’m working on a variscite board with a yocto distribution and python 2.7.3.
I get sometimes a Bus error message from the python interpreter.
My program runs normally at least some hours or days before the error ocours.
But when I get it once, I get it directly when I try to restart my program.
I have to reboot before the system works again.
My program uses only a serial port, a bit usb communication and some tcp sockets.
I can switch to another hardware and get the same problems.
I also used the python selftest with
python -c "from test import testall"
And I get errors for these two tests
test_getattr (test.test_builtin.BuiltinTest) … ERROR test_nameprep
(test.test_codecs.NameprepTest) … ERROR
And the selftest stops always at
test_callback_register_double (ctypes.test.test_callbacks.SampleCallbacksTestCase) … Segmentation
fault
But when the systems runs some hours the selftests stops earlier at
ctypes.macholib.dyld
Bus error
I checked the RAM with memtester, it seems to be okay.
How I can find the cause for the problems?
Describe the bug
Frigate works perfectly except the times when the error appear: Fatal Python error: Bus error
Version of frigate
I am using frigate:0.7.1-amd64
Config file
`web_port: 5000
################
## List of detectors.
## Currently supported types: cpu, edgetpu
## EdgeTPU requires device as defined here: https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
################
detectors:
coral:
type: edgetpu
device: usb
mqtt:
host: 192.168.10.3
topic_prefix: frigate
# client_id: frigate # Optional -- set to override default client id of 'frigate' if running multiple instances
user: s*****y
#################
## Environment variables that begin with 'FRIGATE_' may be referenced in {}.
## password: '{FRIGATE_MQTT_PASSWORD}'
#################
password: p******x
################
# Global configuration for saving clips
################
#save_clips:
###########
# Maximum length of time to retain video during long events.
# If an object is being tracked for longer than this amount of time, the cache
# will begin to expire and the resulting clip will be the last x seconds of the event.
###########
# max_seconds: 300
# clips_dir: /home/coral/frigate/config
# cache_dir: /home/coral/frigate/config
#################
# 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
# - yuv420p
####################
# 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 object
# max_area (optional): maximum width*height of the bounding box for the detected object
# min_score (optional): minimum score for the object to initiate tracking
# threshold (optional): The minimum decimal percentage for tracked object's computed score to considered a true positive
####################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
cameras:
left_side_out:
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://c*****************P@192.168.10.71:554/Streaming/Channels/101?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 81,111,173,89,373,94,396,335,380,422,218,479,2,479,1,159,51,115
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
#enabled: False
#########
# Number of seconds before the event to include in the clips
#########
#pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
snapshots:
show_timestamp: True
draw_zones: False
draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
facebar:
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://c***************P@192.168.10.74:554/Streaming/Channels/101?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 198,91,173,149,99,142,11,238,4,248,7,349,545,349,320,93
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
save_clips:
enabled: False
#########
# Number of seconds before the event to include in the clips
#########
pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
snapshots:
show_timestamp: True
draw_zones: False
draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
front_house_1:
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://c***************P@192.168.10.75:554/Streaming/Channels/101?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 3,1077,1553,1078,1768,749,1860,521,1873,471,1812,453,1733,436,1744,361,1683,332,1661,263,1688,192,1648,159,1322,83,1095,42,907,36,678,56,559,78,498,90,338,185,208,205,-1,236
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
save_clips:
enabled: False
#########
# Number of seconds before the event to include in the clips
#########
pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
snapshots:
show_timestamp: True
draw_zones: False
draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
front_house_2:
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://c***************P@192.168.10.76:554/Streaming/Channels/101?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 555,407,1,596,1,1073,1913,1069,1904,267,572,258
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
save_clips:
enabled: False
#########
# Number of seconds before the event to include in the clips
#########
pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
snapshots:
show_timestamp: True
draw_zones: False
draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
front_door:
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://c***************P@192.168.10.66:554/Streaming/Channels/101?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 11,620,6,1071,1919,1071,1914,439,1602,352,1530,332,1469,320,1396,312,1178,278,1142,95,1008,154,666,297,642,266
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
left_side_02:
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://c***************P@192.168.10.68:554/Streaming/Channels/102?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 3,2,1,1078,1909,1073,1919,695,1867,729,1819,846,1780,927,1712,1010,1633,1043,1022,712,569,441,337,295,226,212,162,181,128,203,55,225,31,232,33,0
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
front_yard:
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://c***************P@192.168.10.67:554/Streaming/Channels/102?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 628,129,170,220,3,324,1,1072,1917,1072,1914,263,1843,261,1795,242,1716,212,1609,173,1515,141,1424,114,1365,95,1278,78,1224,66,1139,53,1076,46,1013,37,937,36,888,39,857,41,796,39,717,37,642,37
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
back_side_2:
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://c***************P@192.168.10.65:554/Streaming/Channels/102?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 3,1,1,1078,1919,1075,1919,337,1751,830,681,361,398,256,221,207
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
back_side_01:
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://c***************P@192.168.10.64:554/Streaming/Channels/102?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 85,1438,2480,249,2557,242,2557,1438,496,1438,96,1438
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
back_side_03:
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://c***************P@192.168.10.65:554/Streaming/Channels/102?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 268,237,-1,461,1,1438,2559,1431,2543,1110,1690,732,1001,457
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
right_side_03:
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://c***************P@192.168.10.63:554/Streaming/Channels/102?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 470,88,483,149,1277,220,1278,717,4,719,-1,310,250,157,380,120,434,99
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
left_side_01:
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://c***************P@192.168.10.61:554/Streaming/Channels/102?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 1058,249,878,487,597,715,1277,717,1279,108,1152,94,1008,89
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
right_side_01:
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://c***************P@192.168.10.60:554/Streaming/Channels/102?transportmode=unicast&profile=Profile_2
#################
# 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
################
## Specify the framerate of your camera
##
## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate
## on its own and the reported framerate for your camera in frigate is well over what is expected.
################
# fps: 5
################
## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following:
## - name of a file in the config directory
## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....'
## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920'
##
## 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: 1
################
# The number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it
# to be replaced by a newer image. Defaults to 60 seconds.
################
best_image_timeout: 60
################
# MQTT settings
################
# mqtt:
# crop_to_region: True
# snapshot_height: 300
################
# Zones
################
zones:
#################
# Name of the zone
################
front_steps:
####################
# 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 name 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:
- 132,122,4,173,4,712,1277,711,1273,135,1145,101,944,57,777,40,650,36,495,44,370,60,249,86
################
# 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: 0.5
################
# 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. These are optimized to capture "false_positive" examples for improving frigate.
#
# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
# This will only work for camera feeds that can be copied into the mp4 container format without
# encoding such as h264. It may not work for some types of streams.
################
#save_clips:
# enabled: False
#########
# Number of seconds before the event to include in the clips
#########
# pre_capture: 30
#########
# Objects to save clips for. Defaults to all tracked object types.
#########
# objects:
# - person
################
# Configuration for the snapshots in the debug view and mqtt
################
#snapshots:
# show_timestamp: True
# draw_zones: False
# draw_bounding_boxes: True
################
# Camera level object config. If defined, this is used instead of the global config.
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.50
`
Logs
`Fatal Python error: Bus error
Thread 0x00007fbcdf7fe700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbcdffff700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbcf8aca700 (most recent call first):
File "detect_objects.py", line 95 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbcf92cb700 (most recent call first):
File "/usr/lib/python3.8/multiprocessing/shared_memory.py", line 100 in __init__
File "/opt/frigate/frigate/util.py", line 231 in get
File "/opt/frigate/frigate/object_processing.py", line 127 in update
File "/opt/frigate/frigate/object_processing.py", line 372 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbcf9acc700 (most recent call first):
File "/usr/lib/python3.8/selectors.py", line 415 in select
File "/usr/lib/python3.8/multiprocessing/connection.py", line 930 in wait
File "/usr/lib/python3.8/multiprocessing/connection.py", line 424 in _poll
File "/usr/lib/python3.8/multiprocessing/connection.py", line 257 in poll
File "/usr/lib/python3.8/multiprocessing/queues.py", line 107 in get
File "/opt/frigate/frigate/events.py", line 147 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbcfa2cd700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbcfb166700 (most recent call first):
File "/usr/lib/python3.8/multiprocessing/connection.py", line 368 in _send
File "/usr/lib/python3.8/multiprocessing/connection.py", line 411 in _send_bytes
File "/usr/lib/python3.8/multiprocessing/connection.py", line 200 in send_bytes
File "/usr/lib/python3.8/multiprocessing/queues.py", line 245 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbcfb967700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd14aca700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd152cb700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd16164700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd16965700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd177fe700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd17fff700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd2d162700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd2d963700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd2e7fc700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd2effd700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd2f7fe700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd2ffff700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd4159e700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Current thread 0x00007fbd41d9f700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 156 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd43fff700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd54b41700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd5cab0700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd5d558700 (most recent call first):
File "/usr/lib/python3.8/threading.py", line 302 in wait
File "/usr/lib/python3.8/multiprocessing/queues.py", line 227 in _feed
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd7eeca700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd7f6cb700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd7fecc700 (most recent call first):
File "/opt/frigate/frigate/video.py", line 130 in capture_frames
File "/opt/frigate/frigate/video.py", line 180 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd6187c700 (most recent call first):
File "/usr/local/lib/python3.8/dist-packages/paho/mqtt/client.py", line 1167 in loop
File "/usr/local/lib/python3.8/dist-packages/paho/mqtt/client.py", line 1779 in loop_forever
File "/usr/local/lib/python3.8/dist-packages/paho/mqtt/client.py", line 3452 in _thread_main
File "/usr/lib/python3.8/threading.py", line 870 in run
File "/usr/lib/python3.8/threading.py", line 932 in _bootstrap_inner
File "/usr/lib/python3.8/threading.py", line 890 in _bootstrap
Thread 0x00007fbd890ac740 (most recent call first):
File "/usr/lib/python3.8/selectors.py", line 415 in select
File "/usr/lib/python3.8/socketserver.py", line 232 in serve_forever
File "/usr/local/lib/python3.8/dist-packages/werkzeug/serving.py", line 777 in serve_forever
File "/usr/local/lib/python3.8/dist-packages/werkzeug/serving.py", line 1009 in inner
File "/usr/local/lib/python3.8/dist-packages/werkzeug/serving.py", line 1052 in run_simple
File "/usr/local/lib/python3.8/dist-packages/flask/app.py", line 990 in run
File "detect_objects.py", line 475 in main
File "detect_objects.py", line 480 in <module>`
Frigate debug stats
{
"back_side_01": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 126,
"frame_info": {
"detect": 1603361049.589981,
"process": 0.0,
"read": 1603361049.589981
},
"pid": 194,
"process_fps": 15.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"back_side_03": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 139,
"frame_info": {
"detect": 1603361049.565188,
"process": 0.0,
"read": 1603361049.565188
},
"pid": 195,
"process_fps": 15.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"back_side_2": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 113,
"frame_info": {
"detect": 1603361049.565617,
"process": 0.0,
"read": 1603361049.565617
},
"pid": 192,
"process_fps": 15.0,
"read_start": 0.0,
"skipped_fps": 0.0
},
"detection_fps": 0.0,
"detectors": {
"coral": {
"detection_start": 0.0,
"inference_speed": 8.62,
"pid": 16
}
},
"facebar": {
"camera_fps": 25.0,
"detection_fps": 0.0,
"ffmpeg_pid": 31,
"frame_info": {
"detect": 1603361049.610222,
"process": 0.0,
"read": 1603361049.610222
},
"pid": 181,
"process_fps": 25.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"front_door": {
"camera_fps": 24.9,
"detection_fps": 0.0,
"ffmpeg_pid": 74,
"frame_info": {
"detect": 0.0,
"process": 0.0,
"read": 1603361049.598725
},
"pid": 185,
"process_fps": 0.0,
"read_start": 0.0,
"skipped_fps": 24.9
},
"front_house_1": {
"camera_fps": 25.0,
"detection_fps": 0.0,
"ffmpeg_pid": 43,
"frame_info": {
"detect": 1603361049.575957,
"process": 0.0,
"read": 1603361049.625
},
"pid": 182,
"process_fps": 25.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"front_house_2": {
"camera_fps": 25.0,
"detection_fps": 0.0,
"ffmpeg_pid": 56,
"frame_info": {
"detect": 0.0,
"process": 0.0,
"read": 1603361049.618511
},
"pid": 184,
"process_fps": 0.0,
"read_start": 0.0,
"skipped_fps": 25.0
},
"front_yard": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 100,
"frame_info": {
"detect": 1603361049.595741,
"process": 0.0,
"read": 1603361049.595741
},
"pid": 190,
"process_fps": 15.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"left_side_01": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 165,
"frame_info": {
"detect": 1603361049.605303,
"process": 0.0,
"read": 1603361049.605303
},
"pid": 198,
"process_fps": 15.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"left_side_02": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 87,
"frame_info": {
"detect": 1603361049.62348,
"process": 0.0,
"read": 1603361049.62348
},
"pid": 187,
"process_fps": 15.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"left_side_out": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 24,
"frame_info": {
"detect": 1603361049.619588,
"process": 0.0,
"read": 1603361049.619588
},
"pid": 180,
"process_fps": 15.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"right_side_01": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 178,
"frame_info": {
"detect": 1603361049.54089,
"process": 0.0,
"read": 1603361049.623674
},
"pid": 201,
"process_fps": 15.1,
"read_start": 0.0,
"skipped_fps": 0.0
},
"right_side_03": {
"camera_fps": 15.0,
"detection_fps": 0.0,
"ffmpeg_pid": 152,
"frame_info": {
"detect": 1603361049.581871,
"process": 0.0,
"read": 1603361049.581871
},
"pid": 197,
"process_fps": 15.1,
"read_start": 0.0,
"skipped_fps": 0.0
}
}
FFprobe from your camera
Run the following command and paste the output below
Unfortunately FFprobe returns: Server returned 401 Unauthorized (authorization failed) which is not possible because with Frigate I can connect to all my cameras and get person detection events.
The command is:
`ffprobe rtsp://myusername:mypassword@192.168.10.66:554/Streaming/Channels/101?transportmode=unicast&profile=Profile_2`
Computer Hardware
- OS: Ubuntu 18.04
- Barebone
- Coral Version: USB
- Network Setup: Wired
Camera Info:
- Manufacturer: Hikvision
- Model: DS-2CD2385FWD-I
- Resolution: 720p
- FPS: 15
Additional context
Add any other context about the problem here.
Both are signals generated when serious program error is detected by the operating system and there is no way the program could continue to execute because of these errors.
1) Segmentation Fault (also known as SIGSEGV and is usually signal 11) occur when the program tries to write/read outside the memory allocated for it or when writing memory which can only be read.In other words when the program tries to access the memory to which it doesn’t have access to. SIGSEGV is abbreviation for Segmentation Violation.
Few cases where SIGSEGV signal generated are as follows,
-> Using uninitialized pointer
-> De-referencing a NULL pointer
-> Trying to access memory that the program doesn’t own (eg. trying to access an array element
out of array bounds).
-> Trying to access memory which is already de-allocated (trying to use dangling pointers).
Please refer this article for examples.
2) Bus Error (also known as SIGBUS and is usually signal 10) occur when a process is trying to access memory that the CPU cannot physically address.In other words the memory tried to access by the program is not a valid memory address.It caused due to alignment issues with the CPU (eg. trying to read a long from an address which isn’t a multiple of 4). SIGBUS is abbrivation for Bus Error.
SIGBUS signal occurs in below cases,
-> Program instructs the CPU to read or write a specific physical memory address which is not valid / Requested physical address is unrecognized by the whole computer system.
-> Unaligned access of memory (For example, if multi-byte accesses must be 16 bit-aligned, addresses (given in bytes) at 0, 2, 4, 6, and so on would be considered aligned and therefore accessible, while addresses 1, 3, 5, and so on would be considered unaligned.)
The main difference between Segmentation Fault and Bus Error is that Segmentation Fault indicates an invalid access to a valid memory, while Bus Error indicates an access to an invalid address.
I cannot perform any upgrade using apt as there is some dependency issue with python3 on Ubuntu 18.04.
$: sudo apt upgrade
Reading package lists... Done
Building dependency tree
Reading state information... Done
You might want to run 'apt --fix-broken install' to correct these.
The following packages have unmet dependencies:
python3 : PreDepends: python3-minimal (= 3.6.5-3ubuntu1) but 3.6.7-1~18.04 is installed
python3-dev : Depends: python3 (= 3.6.7-1~18.04) but 3.6.5-3ubuntu1 is installed
Depends: libpython3-dev (= 3.6.7-1~18.04) but 3.6.5-3ubuntu1 is installed
python3-distutils : Depends: python3 (>= 3.6.6-1~) but 3.6.5-3ubuntu1 is installed
python3-lib2to3 : Depends: python3 (>= 3.6.6-1~) but 3.6.5-3ubuntu1 is installed
python3-tk : Depends: python3 (>= 3.6.6-1~) but 3.6.5-3ubuntu1 is installed
python3-venv : Depends: python3 (= 3.6.7-1~18.04) but 3.6.5-3ubuntu1 is installed
E: Unmet dependencies. Try 'apt --fix-broken install' with no packages (or specify a solution).
I tried apt-get install -f but did not solve the problem.
$: sudo apt-get install -f
Reading package lists... Done
Building dependency tree
Reading state information... Done
Correcting dependencies... Done
The following packages were automatically installed and are no longer required:
libkeybinder-3.0-0 libregexp-common-perl pastebinit
Use 'sudo apt autoremove' to remove them.
The following additional packages will be installed:
libpython3-dev libpython3-stdlib python3
Suggested packages:
python3-doc
The following packages will be upgraded:
libpython3-dev libpython3-stdlib python3
3 upgraded, 0 newly installed, 0 to remove and 42 not upgraded.
6 not fully installed or removed.
Need to get 0 B/61.8 kB of archives.
After this operation, 116 kB of additional disk space will be used.
Do you want to continue? [Y/n] y
Setting up python3-minimal (3.6.7-1~18.04) ...
Bus error (core dumped)
Traceback (most recent call last):
File "/usr/bin/py3compile", line 290, in <module>
main()
File "/usr/bin/py3compile", line 251, in main
pkg_files = tuple(dpf.from_package(options.package))
File "/usr/share/python3/debpython/files.py", line 53, in from_package
raise Exception("cannot get content of %s" % package_name)
Exception: cannot get content of python3-minimal
dpkg: error processing package python3-minimal (--configure):
installed python3-minimal package post-installation script subprocess returned error exit status 1
Errors were encountered while processing:
python3-minimal
E: Sub-process /usr/bin/dpkg returned an error code (1)
I also tried sudo apt remove python3 but it too did not work.
$: sudo apt remove python3
[sudo] password for aman:
Reading package lists... Done
Building dependency tree
Reading state information... Done
You might want to run 'apt --fix-broken install' to correct these.
The following packages have unmet dependencies:
apparmor : Depends: python3:any
apport : Depends: python3 but it is not going to be installed
apport-gtk : Depends: python3 but it is not going to be installed
aptdaemon : Depends: python3:any (>= 3.2~)
apturl : Depends: python3:any (>= 3.3.2-2~)
apturl-common : Depends: python3:any (>= 3.3.2-2~)
chrome-gnome-shell : Depends: python3 but it is not going to be installed
dh-python : Depends: python3:any (>= 3.3.2-2~)
foomatic-db-compressed-ppds : Depends: python3 but it is not going to be installed
gedit : Depends: python3:any (>= 3.3.2-2~)
gedit-common : Depends: python3:any (>= 3.3.2-2~)
gir1.2-ibus-1.0 : Depends: python3:any (>= 3.3.2-2~)
gnome-menus : Depends: python3:any (>= 3.1~)
gnome-shell : Depends: python3 but it is not going to be installed
gnome-terminal : Depends: python3 but it is not going to be installed
gnome-tweaks : Depends: python3:any (>= 3.3.2-2~)
hplip : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
hplip-data : Depends: python3:any (>= 3.3.2-2~)
ibus : Depends: python3:any (>= 3.3.2-2~)
ibus-table : Depends: python3:any (>= 3.3.2-2~)
language-selector-common : Depends: python3:any (>= 3.3.2-2~)
language-selector-gnome : Depends: python3:any (>= 3.3.2-2~)
lsb-release : Depends: python3:any (>= 3.4~)
netplan.io : Depends: python3 but it is not going to be installed
networkd-dispatcher : Depends: python3:any
openprinting-ppds : Depends: python3 but it is not going to be installed
orca : Depends: python3:any (>= 3.3.2-2~)
pastebinit : Depends: python3 but it is not going to be installed
printer-driver-foo2zjs-common : Depends: python3 but it is not going to be installed
printer-driver-m2300w : Depends: python3 but it is not going to be installed
printer-driver-postscript-hp : Depends: python3 but it is not going to be installed
printer-driver-ptouch : Depends: python3 but it is not going to be installed
printer-driver-pxljr : Depends: python3 but it is not going to be installed
python3-apport : Depends: python3:any (>= 3.3.2-2~)
python3-apt : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-aptdaemon : Depends: python3:any (>= 3.3.2-2~)
python3-aptdaemon.gtk3widgets : Depends: python3:any (>= 3.3.2-2~)
python3-asn1crypto : Depends: python3:any (>= 3.3.2-2~)
python3-brlapi : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.2~)
python3-cairo : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-certifi : Depends: python3:any (>= 3.4~)
python3-cffi-backend : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.1~)
python3-chardet : Depends: python3:any (>= 3.3.2-2~)
python3-commandnotfound : Depends: python3:any (>= 3.3.2-2~)
python3-crypto : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-cryptography : Depends: python3 (>= 3~) but it is not going to be installed
Depends: python3:any (>= 3.4~)
python3-cups : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
python3-cupshelpers : Depends: python3:any (>= 3.3.2-2~)
python3-dbus : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.4~)
python3-debconf : Depends: python3:any (>= 3.3.2-2~)
python3-debian : Depends: python3:any (>= 3.3.2-2~)
python3-defer : Depends: python3:any (>= 3.3.2-2~)
python3-dev : Depends: python3 (= 3.6.7-1~18.04) but it is not going to be installed
Depends: libpython3-dev (= 3.6.7-1~18.04) but 3.6.5-3ubuntu1 is to be installed
python3-distro-info : Depends: python3:any (>= 3.3.2-2~)
python3-distupgrade : Depends: python3:any (>= 3.3.2-2~)
python3-distutils : Depends: python3 (>= 3.6.6-1~) but it is not going to be installed
Depends: python3 (< 3.8) but it is not going to be installed
python3-gdbm : Depends: python3 (>= 3.6.4-1~) but it is not going to be installed
Depends: python3 (< 3.8) but it is not going to be installed
python3-gi : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-gi-cairo : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3~)
python3-httplib2 : Depends: python3:any (>= 3.3.2-2~)
python3-idna : Depends: python3:any (>= 3.3.2-2~)
python3-keyring : Depends: python3:any (>= 3.3.2-2~)
python3-keyrings.alt : Depends: python3:any (>= 3.3.2-2~)
python3-launchpadlib : Depends: python3:any (>= 3.3.2-2~)
python3-lazr.restfulclient : Depends: python3:any (>= 3.3.2-2~)
python3-lazr.uri : Depends: python3:any (>= 3.3.2-2~)
python3-lib2to3 : Depends: python3 (>= 3.6.6-1~) but it is not going to be installed
Depends: python3 (< 3.8) but it is not going to be installed
python3-louis : Depends: python3:any (>= 3.3.2-2~)
python3-macaroonbakery : Depends: python3:any (>= 3.5~)
python3-mako : Depends: python3:any (>= 3.3.2-2~)
python3-markupsafe : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-nacl : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-oauth : Depends: python3:any (>= 3.3.2-2~)
python3-olefile : Depends: python3:any (>= 3.3.2-2~)
python3-pexpect : Depends: python3:any (>= 3.3.2-2~)
python3-pil : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-pip : Depends: python3:any (>= 3.4~)
python3-pkg-resources : Depends: python3:any (>= 3.3.2-2~)
python3-problem-report : Depends: python3:any (>= 3.3.2-2~)
python3-protobuf : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-ptyprocess : Depends: python3:any (>= 3.3.2-2~)
python3-pyatspi : Depends: python3:any (>= 3.3.2-2~)
python3-pymacaroons : Depends: python3:any (>= 3.3.2-2~)
python3-renderpm : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
python3-reportlab : Depends: python3:any (>= 3.3.2-2~)
python3-reportlab-accel : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
python3-requests : Depends: python3:any (>= 3.4~)
python3-requests-unixsocket : Depends: python3:any (>= 3.3.2-2~)
python3-rfc3339 : Depends: python3:any (>= 3.3.2-2~)
python3-secretstorage : Depends: python3:any (>= 3.3.2-2~)
python3-setuptools : Depends: python3:any (>= 3.3.2-2~)
python3-simplejson : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-six : Depends: python3:any (>= 3.4~)
python3-software-properties : Depends: python3:any (>= 3.3.2-2~)
Depends: python3 but it is not going to be installed
python3-speechd : Depends: python3:any (>= 3.3.2-2~)
python3-systemd : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-tk : Depends: python3 (>= 3.6.6-1~) but it is not going to be installed
Depends: python3 (< 3.8) but it is not going to be installed
python3-tz : Depends: python3:any (>= 3.3.2-2~)
python3-uno : Depends: python3:any (>= 3.3.2-2~)
Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
python3-update-manager : Depends: python3:any (>= 3.3.2-2~)
python3-urllib3 : Depends: python3:any (>= 3.3.2-2~)
python3-venv : Depends: python3 (= 3.6.7-1~18.04) but it is not going to be installed
python3-wadllib : Depends: python3:any (>= 3.4~)
python3-wheel : Depends: python3:any (>= 3.3.2-2~)
python3-xdg : Depends: python3:any (>= 3.3.2-2~)
python3-xkit : Depends: python3:any (>= 3.3.2-2~)
python3-yaml : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
python3-zope.interface : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
rhythmbox-plugin-alternative-toolbar : Depends: python3:any (>= 3.3.2-2~)
rhythmbox-plugins : Depends: python3 (< 3.7) but it is not going to be installed
Depends: python3 (>= 3.6~) but it is not going to be installed
Depends: python3:any (>= 3.3.2-2~)
rlwrap : Depends: python3:any (>= 3.3.2-2~)
software-properties-common : Depends: python3:any (>= 3.3.2-2~)
Depends: python3 but it is not going to be installed
software-properties-gtk : Depends: python3:any (>= 3.3.2-2~)
Depends: python3 but it is not going to be installed
ssh-import-id : Depends: python3:any (>= 3.3.2-2~)
system-config-printer : Depends: python3:any (>= 3.3.2-2~)
system-config-printer-common : Depends: python3:any (>= 3.3.2-2~)
system-config-printer-udev : Depends: python3:any (>= 3.3.2-2~)
ubuntu-drivers-common : Depends: python3:any (>= 3.3.2-2~)
ubuntu-minimal : Depends: python3 but it is not going to be installed
ubuntu-release-upgrader-core : Depends: python3:any (>= 3.2~)
ubuntu-system-service : Depends: python3:any (>= 3.3.2-2~)
ubuntu-web-launchers : Depends: python3 but it is not going to be installed
ufw : Depends: python3:any (>= 3.3.2-2~)
unattended-upgrades : Depends: python3 but it is not going to be installed
update-manager : Depends: python3:any (>= 3.3.2-2~)
update-manager-core : Depends: python3:any (>= 3.2~)
update-notifier-common : Depends: python3:any
usb-creator-common : Depends: python3:any (>= 3.3.2-2~)
usb-creator-gtk : Depends: python3:any (>= 3.3.2-2~)
E: Unmet dependencies. Try 'apt --fix-broken install' with no packages (or specify a solution).
Output of sudo apt install python3
$: sudo apt install python3
[sudo] password for aman:
Reading package lists... Done
Building dependency tree
Reading state information... Done
You might want to run 'apt --fix-broken install' to correct these.
The following packages have unmet dependencies:
python3 : Depends: libpython3-stdlib (= 3.6.7-1~18.04) but 3.6.5-3ubuntu1 is to be installed
python3-dev : Depends: libpython3-dev (= 3.6.7-1~18.04) but 3.6.5-3ubuntu1 is to be installed
E: Unmet dependencies. Try 'apt --fix-broken install' with no packages (or specify a solution).
Output of apt policy python3 python3-minimal python3-dev python3-distutils python3-lib2to3 python3-tk python3-venv
$: sudo apt policy python3 python3-minimal python3-dev python3-distutils python3-lib2to3 python3-tk python3-venv
python3:
Installed: 3.6.5-3ubuntu1
Candidate: 3.6.7-1~18.04
Version table:
3.6.7-1~18.04 500
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages
*** 3.6.5-3ubuntu1 100
100 /var/lib/dpkg/status
3.6.5-3 500
500 http://in.archive.ubuntu.com/ubuntu bionic/main amd64 Packages
python3-minimal:
Installed: 3.6.7-1~18.04
Candidate: 3.6.7-1~18.04
Version table:
*** 3.6.7-1~18.04 500
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages
100 /var/lib/dpkg/status
3.6.5-3 500
500 http://in.archive.ubuntu.com/ubuntu bionic/main amd64 Packages
python3-dev:
Installed: 3.6.7-1~18.04
Candidate: 3.6.7-1~18.04
Version table:
*** 3.6.7-1~18.04 500
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages
100 /var/lib/dpkg/status
3.6.5-3 500
500 http://in.archive.ubuntu.com/ubuntu bionic/main amd64 Packages
python3-distutils:
Installed: 3.6.7-1~18.04
Candidate: 3.6.7-1~18.04
Version table:
*** 3.6.7-1~18.04 500
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/main i386 Packages
100 /var/lib/dpkg/status
3.6.5-3 500
500 http://in.archive.ubuntu.com/ubuntu bionic/main amd64 Packages
500 http://in.archive.ubuntu.com/ubuntu bionic/main i386 Packages
python3-lib2to3:
Installed: 3.6.7-1~18.04
Candidate: 3.6.7-1~18.04
Version table:
*** 3.6.7-1~18.04 500
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/main i386 Packages
100 /var/lib/dpkg/status
3.6.5-3 500
500 http://in.archive.ubuntu.com/ubuntu bionic/main amd64 Packages
500 http://in.archive.ubuntu.com/ubuntu bionic/main i386 Packages
python3-tk:
Installed: 3.6.7-1~18.04
Candidate: 3.6.7-1~18.04
Version table:
*** 3.6.7-1~18.04 500
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages
100 /var/lib/dpkg/status
3.6.5-3 500
500 http://in.archive.ubuntu.com/ubuntu bionic/main amd64 Packages
python3-venv:
Installed: 3.6.7-1~18.04
Candidate: 3.6.7-1~18.04
Version table:
*** 3.6.7-1~18.04 500
500 http://in.archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages
100 /var/lib/dpkg/status
3.6.5-3 500
500 http://in.archive.ubuntu.com/ubuntu bionic/universe amd64 Packages
Thanks in advance.
bus error in test_gil test on armhf with 64bit kernel
https://objectstorage.prodstack4-5.canonical.com/v1/AUTH_77e2ada1e7a84929a74ba3b87153c0ac/autopkgtest-disco/disco/armhf/p/python3.7/20190327_025457_8b623@/log.gz
test_extra_sha3 (test.test_hashlib.HashLibTestCase) … ok
test_get_builtin_constructor (test.test_hashlib.HashLibTestCase) … ok
test_gil (test.test_hashlib.HashLibTestCase) … Fatal Python error: Bus error
Current thread 0xf7bcd210 (most recent call first):
File «/usr/lib/python3.7/test/test_hashlib.py», line 788 in test_gil
File «/usr/lib/python3.7/unittest/case.py», line 615 in run
File «/usr/lib/python3.7/unittest/case.py», line 663 in __call__
File «/usr/lib/python3.7/unittest/suite.py», line 122 in run
File «/usr/lib/python3.7/unittest/suite.py», line 84 in __call__
File «/usr/lib/python3.7/unittest/suite.py», line 122 in run
File «/usr/lib/python3.7/unittest/suite.py», line 84 in __call__
File «/usr/lib/python3.7/unittest/suite.py», line 122 in run
File «/usr/lib/python3.7/unittest/suite.py», line 84 in __call__
File «/usr/lib/python3.7/unittest/runner.py», line 176 in run
File «/usr/lib/python3.7/test/support/__init__.py», line 1899 in _run_suite
File «/usr/lib/python3.7/test/support/__init__.py», line 1995 in run_unittest
File «/usr/lib/python3.7/test/libregrtest/runtest.py», line 178 in test_runner
File «/usr/lib/python3.7/test/libregrtest/runtest.py», line 182 in runtest_inner
File «/usr/lib/python3.7/test/libregrtest/runtest.py», line 137 in runtest
File «/usr/lib/python3.7/test/libregrtest/main.py», line 305 in rerun_failed_tests
File «/usr/lib/python3.7/test/libregrtest/main.py», line 623 in _main
File «/usr/lib/python3.7/test/libregrtest/main.py», line 586 in main
File «/usr/lib/python3.7/test/libregrtest/main.py», line 640 in main
File «/usr/lib/python3.7/test/__main__.py», line 2 in <module>
File «/usr/lib/python3.7/runpy.py», line 85 in _run_code
File «/usr/lib/python3.7/runpy.py», line 193 in _run_module_as_main
Bus error (core dumped)
python manage.py migrate returns Bus error
Hi all,
I’ve an issue.
I created a new django app and when I tried run python manage.py migrate it returns me Bus error.
Could you please help me with that?
Here is my database configuration.
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': env("DB_NAME"),
'USER': env("DB_USER"),
'PASSWORD': env("DB_PASSWORD"),
'HOST': env("DB_HOST"),
}
}
Here is my .env variables:
DB_HOST='<my-username>.mysql.pythonanywhere-services.com'
DB_USER='<my-username>'
DB_PASSWORD='<my-password>'
DB_NAME='<my-username>$<my-db-name>'
Thanks
vadymkhodak
|
4
posts
|
Jan. 27, 2021, 10:30 p.m.
|
permalink
Could you show full error message?
fjl
|
3651
posts
|
PythonAnywhere staff
|
Jan. 28, 2021, 9:32 a.m.
|
permalink
it is full
vadymkhodak
|
4
posts
|
Jan. 28, 2021, 10 a.m.
|
permalink
https://screencast-o-matic.com/i/crVuQRR1rx
vadymkhodak
|
4
posts
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Jan. 28, 2021, 10 a.m.
|
permalink
Hi, I see we already answered you by email. I’m posting part of our reply in case if someone else would experience similiar issue in the future:
A bus error means that Python itself is crashing, which is not
something that could be fixed by a server restart. If you’re using
Django >= 3.0 with Python
3.7 it might be happening because of a bug in Python 3.7.0,
which is the point release of 3.7 that your account is configured to use.
We can change it to 3.7.5, which does not have that bug, by changing your
account’s system image to our latest one.
pafk
|
2441
posts
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PythonAnywhere staff
|
Jan. 28, 2021, 11:57 a.m.
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permalink
thanks
vadymkhodak
|
4
posts
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Jan. 28, 2021, 11:27 p.m.
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permalink
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