Replaying an event gives a 404 error #1163

ElectronicEconomy317 · 2025-11-24T14:04:10Z

ElectronicEconomy317
Nov 24, 2025

Hi, I am hoping someone can help me out here. When I try to replay an even that happened about an hour ago, I get "HTTP ERROR 404".

If I try to play an even that happened yesterday, I get the same error.

I am able to download a video in the time frame that I specify.

I can see there are tons of files in the /segments directory. Including the date that I specify.

I've tried another camera, and I get the same error. Doesn't matter which event I click on.

Here is my config.yaml:

Start by adding some cameras

ffmpeg:
ffmpeg_loglevel: error
ffmpeg_recoverable_errors:
- error while decoding MB
camera:
camera_1: # This value has to be unique across all cameras
name: West_Yard
host: 172.25.175.50
port: 554
path: /cam/realmonitor?channel=1&subtype=0
username:
password:
fps: 15
substream:
path: /cam/realmonitor?channel=1&subtype=1
stream_format: rtsp
port: 554
fps: 1
mjpeg_streams:
objects:
draw_objects: true
still_image:
refresh_interval: 2

camera_2:  # This value has to be unique across all cameras
  name: Front_Yard
  host: 172.25.175.51
  port: 554
  path: /cam/realmonitor?channel=1&subtype=0
  username: !secret camera_2_user
  password: !secret camera_2_password
  fps: 15
  substream:
    path: /cam/realmonitor?channel=1&subtype=1
    stream_format: rtsp
    port: 554
    fps: 1
  mjpeg_streams:
    objects:
      draw_objects: true
  still_image:
    refresh_interval: 1

camera_3:  # This value has to be unique across all cameras
  name: Doorbell
  host: 172.25.175.52
  port: 554
  path: /h264Preview_01_main
  username: xxxx
  password: xxxx
  fps: 15
  substream:
    path: /h264Preview_01_sub
    stream_format: rtsp
    port: 554
    fps: 1
  mjpeg_streams:
    objects:
      draw_objects: true
  still_image:
    refresh_interval: 1
  
camera_4:  # This value has to be unique across all cameras
  name: Garage
  host: 172.25.175.53
  port: 554
  path: /Streaming/Channels/101
  username: xxxx
  password: xxxxx
  fps: 15
  substream:
    path: /Streaming/Channels/102
    stream_format: rtsp
    port: 554
    fps: 1
  mjpeg_streams:
    objects:
      draw_objects: true
  still_image:
    refresh_interval: 1

go2rtc:
streams:
camera_1:
- rtsp://172.25.175.50:554/cam/realmonitor?channel=1&subtype=0
camera_2:
- rtsp://xxx:[email protected]:554/cam/realmonitor?channel=1&subtype=0
camera_3:
- rtsp://xxx:[email protected]:554/h264Preview_01_main
camera_4:
- rtsp://xxx:[email protected]:554/Streaming/Channels/101

webrtc:
candidates:
- 172.25.175.50:8555
- stun:8555
- 172.25.175.51:8555
- stun:8555
- 172.25.175.52
- stun:8555
- 172.25.175.53
- stun:8555

Then add an object detector

#darknet:

object_detector:

cameras:

camera_1: # Attach detector to the configured camera_1 above

fps: 1

scan_on_motion_only: false # Scan for objects even when there is no motion

labels:

- label: person

confidence: 0.75

trigger_event_recording: true

camera_2: # Attach detector to the configured camera_2 above

fps: 1

labels:

- label: person

confidence: 0.75

trigger_event_recording: true

camera_3: # Attach detector to the configured camera_2 above

fps: 1

labels:

- label: person

confidence: 0.75

trigger_event_recording: true

yolo:
object_detector:
model_path: /detectors/models/yolo/yolo11n.pt
cameras:
camera_1:
fps: 1
scan_on_motion_only: true
log_all_objects: true
labels:
- label: person
confidence: 0.6
trigger_event_recording: true
- label: cat
confidence: 0.6
trigger_event_recording: true
- label: car
confidence: 0.6
trigger_event_recording: true
- label: motorcycle
confidence: 0.6
trigger_event_recording: true
- label: bus
confidence: 0.6
trigger_event_recording: true
- label: truck
confidence: 0.6
trigger_event_recording: true
camera_2:
fps: 1
scan_on_motion_only: true
log_all_objects: true
labels:
- label: person
confidence: 0.6
trigger_event_recording: true
- label: bicycle
confidence: 0.6
trigger_event_recording: true
- label: car
confidence: 0.6
trigger_event_recording: true
- label: motorcycle
confidence: 0.6
trigger_event_recording: true
- label: bus
confidence: 0.6
trigger_event_recording: true
- label: truck
confidence: 0.6
trigger_event_recording: true
- label: cat
confidence: 0.6
trigger_event_recording: true
- label: dog
confidence: 0.6
trigger_event_recording: true
#- label: fedex
# confidence: 0.7
# trigger_event_recording: true
##- label: ups
# confidence: 0.7
# trigger_event_recording: true
#- label: amazon
# confidence: 0.7
# trigger_event_recording: true
#- label: vehicle
# confidence: 0.7
# trigger_event_recording: true
#- label: bird
# confidence: 0.7
# trigger_event_recording: true
#- label: raccoon
# confidence: 0.7
# trigger_event_recording: true
#- label: skunk
# confidence: 0.7
# trigger_event_recording: true
#- label: squirrel
# confidence: 0.7
# trigger_event_recording: true
#- label: bicycle
# confidence: 0.7
# trigger_event_recording: true
#- label: garbage
# confidence: 0.7
# trigger_event_recording: true
#- label: uhaul
# confidence: 0.7
# trigger_event_recording: true
camera_3:
fps: 1
scan_on_motion_only: true
labels:
- label: person
confidence: 0.6
trigger_event_recording: true
- label: bicycle
confidence: 0.6
trigger_event_recording: true
- label: car
confidence: 0.6
trigger_event_recording: true
- label: motorcycle
confidence: 0.6
trigger_event_recording: true
- label: bus
confidence: 0.6
trigger_event_recording: true
- label: truck
confidence: 0.6
trigger_event_recording: true
- label: cat
confidence: 0.6
trigger_event_recording: true
- label: dog
confidence: 0.6
trigger_event_recording: true

You can also use motion detection

mog2:
motion_detector:
cameras:
camera_1:
fps: 1
detect_shadows: false
learning_rate: -1
trigger_event_recording: true
threshold: 15
recorder_keepalive: true
max_recorder_keepalive: 5

  camera_2:
    fps: 1
    detect_shadows: false
    learning_rate: -1
    trigger_event_recording: true
    threshold: 15
    recorder_keepalive: true
    max_recorder_keepalive: 5

  camera_3:
    fps: 1
    detect_shadows: false
    learning_rate: -1
    trigger_event_recording: true
    threshold: 15
    recorder_keepalive: true
    max_recorder_keepalive: 5

To tie everything together we need to configure one more component.

nvr:
camera_1:
camera_2:
camera_3:
camera_4:

storage:
recorder:
tiers:
- path: /segments
events:
max_age:
days: 45
max_size:
gb: 3200 # adjust to your disk size, e.g., 80% of available space
#snapshots:

tiers:

- path: /snapshots

max_age:

days: 45

max_size:

gb: 3200

    #continuous:
    #  max_age:
    #    days: 45
    #  max_size:
    #    gb: 3200

#logger:

logs:

viseron.components.ffmpeg: critical

viseron.components.nvr: debug

viseron.components.storage: debug

Now you can restart Viseron and you should be good to go!

roflcoopter · 2025-11-24T15:39:37Z

roflcoopter
Nov 24, 2025
Maintainer

Could you repost the config with triple backticks to preserve formatting?

It's odd that you can download the video but not view in the interface since they both use the underlying segments.

Can you enable debug logging for the webserver component, reproduce the 404 and send the log?

0 replies

ElectronicEconomy317 · 2025-11-24T17:37:10Z

ElectronicEconomy317
Nov 24, 2025
Author

here's the config:

# Thanks for trying out Viseron!
# This is a small walkthrough of the configuration to get you started.
# There are far more components and options available than what is listed here.
# See the documentation for the full list of configuration options.

## Start by adding some cameras
ffmpeg:
  ffmpeg_loglevel: error
  ffmpeg_recoverable_errors:
    - error while decoding MB
  camera:
    camera_1:  # This value has to be unique across all cameras
      name: West_Yard
      host: 172.25.175.50
      port: 554
      path: /cam/realmonitor?channel=1&subtype=0
      username: 
      password: 
      fps: 15
      substream:
        path: /cam/realmonitor?channel=1&subtype=1
        stream_format: rtsp
        port: 554
        fps: 1
      mjpeg_streams:
        objects:
          draw_objects: true
      still_image:
        refresh_interval: 2

    camera_2:  # This value has to be unique across all cameras
      name: Front_Yard
      host: 172.25.175.51
      port: 554
      path: /cam/realmonitor?channel=1&subtype=0
      username: !secret camera_2_user
      password: !secret camera_2_password
      fps: 15
      substream:
        path: /cam/realmonitor?channel=1&subtype=1
        stream_format: rtsp
        port: 554
        fps: 1
      mjpeg_streams:
        objects:
          draw_objects: true
      still_image:
        refresh_interval: 1

    camera_3:  # This value has to be unique across all cameras
      name: Doorbell
      host: 172.25.175.52
      port: 554
      path: /h264Preview_01_main
      username: xxxx
      password: xxxx
      fps: 15
      substream:
        path: /h264Preview_01_sub
        stream_format: rtsp
        port: 554
        fps: 1
      mjpeg_streams:
        objects:
          draw_objects: true
      still_image:
        refresh_interval: 1
      
    camera_4:  # This value has to be unique across all cameras
      name: Garage
      host: 172.25.175.53
      port: 554
      path: /Streaming/Channels/101
      username: xxxx
      password: xxxx
      fps: 15
      substream:
        path: /Streaming/Channels/102
        stream_format: rtsp
        port: 554
        fps: 1
      mjpeg_streams:
        objects:
          draw_objects: true
      still_image:
        refresh_interval: 1

go2rtc:
  streams:
    camera_1:
      - rtsp://172.25.175.50:554/cam/realmonitor?channel=1&subtype=0
    camera_2:
      - rtsp://xxxx:[email protected]:554/cam/realmonitor?channel=1&subtype=0
    camera_3:
      - rtsp://xxxx:[email protected]:554/h264Preview_01_main
    camera_4:
      - rtsp://xxxx:[email protected]:554/Streaming/Channels/101

  webrtc:
    candidates:
      - 172.25.175.50:8555
      - stun:8555
      - 172.25.175.51:8555
      - stun:8555
      - 172.25.175.52
      - stun:8555
      - 172.25.175.53
      - stun:8555


## Then add an object detector
#darknet:
#  object_detector:
#    cameras:
#      camera_1:  # Attach detector to the configured camera_1 above
#        fps: 1
#        scan_on_motion_only: false  # Scan for objects even when there is no motion
#        labels:
#          - label: person
#            confidence: 0.75
#            trigger_event_recording: true

#      camera_2:  # Attach detector to the configured camera_2 above
#        fps: 1
#        labels:
#          - label: person
#            confidence: 0.75
#            trigger_event_recording: true

#      camera_3:  # Attach detector to the configured camera_2 above
#        fps: 1
#        labels:
#          - label: person
#            confidence: 0.75
#            trigger_event_recording: true

yolo:
  object_detector:
    model_path: /detectors/models/yolo/yolo11n.pt
    cameras:
      camera_1:
        fps: 1
        scan_on_motion_only: true
        log_all_objects: true
        labels:
          - label: person
            confidence: 0.6
            trigger_event_recording: true
          - label: cat
            confidence: 0.6
            trigger_event_recording: true
          - label: car
            confidence: 0.6
            trigger_event_recording: true
          - label: motorcycle
            confidence: 0.6
            trigger_event_recording: true
          - label: bus
            confidence: 0.6
            trigger_event_recording: true
          - label: truck
            confidence: 0.6
            trigger_event_recording: true
      camera_2:
        fps: 1
        scan_on_motion_only: true
        log_all_objects: true
        labels:
          - label: person
            confidence: 0.6
            trigger_event_recording: true
          - label: bicycle
            confidence: 0.6
            trigger_event_recording: true
          - label: car
            confidence: 0.6
            trigger_event_recording: true
          - label: motorcycle
            confidence: 0.6
            trigger_event_recording: true
          - label: bus
            confidence: 0.6
            trigger_event_recording: true
          - label: truck
            confidence: 0.6
            trigger_event_recording: true
          - label: cat
            confidence: 0.6
            trigger_event_recording: true
          - label: dog
            confidence: 0.6
            trigger_event_recording: true
          #- label: fedex
          #  confidence: 0.7
          #  trigger_event_recording: true
          ##- label: ups
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: amazon
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: vehicle
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: bird
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: raccoon
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: skunk
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: squirrel
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: bicycle
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: garbage
          #  confidence: 0.7
          #  trigger_event_recording: true
          #- label: uhaul
          #  confidence: 0.7
          #  trigger_event_recording: true
      camera_3:
        fps: 1
        scan_on_motion_only: true
        labels:
          - label: person
            confidence: 0.6
            trigger_event_recording: true
          - label: bicycle
            confidence: 0.6
            trigger_event_recording: true
          - label: car
            confidence: 0.6
            trigger_event_recording: true
          - label: motorcycle
            confidence: 0.6
            trigger_event_recording: true
          - label: bus
            confidence: 0.6
            trigger_event_recording: true
          - label: truck
            confidence: 0.6
            trigger_event_recording: true
          - label: cat
            confidence: 0.6
            trigger_event_recording: true
          - label: dog
            confidence: 0.6
            trigger_event_recording: true
  



## You can also use motion detection
mog2:
  motion_detector:
    cameras:
      camera_1:
        fps: 1
        detect_shadows: false
        learning_rate: -1
        trigger_event_recording: true
        threshold: 15
        recorder_keepalive: true
        max_recorder_keepalive: 5

      camera_2:
        fps: 1
        detect_shadows: false
        learning_rate: -1
        trigger_event_recording: true
        threshold: 15
        recorder_keepalive: true
        max_recorder_keepalive: 5

      camera_3:
        fps: 1
        detect_shadows: false
        learning_rate: -1
        trigger_event_recording: true
        threshold: 15
        recorder_keepalive: true
        max_recorder_keepalive: 5


## To tie everything together we need to configure one more component.
nvr:
  camera_1:
  camera_2:
  camera_3:
  camera_4:

storage:
  recorder:
    tiers:
      - path: /segments
        events:
          max_age:
            days: 45
          max_size:
            gb: 3200   # adjust to your disk size, e.g., 80% of available space
  #snapshots:
  #  tiers:
  #    - path: /snapshots
  #        max_age:
  #          days: 45
  #      max_size:
  #          gb: 3200
        #continuous:
        #  max_age:
        #    days: 45
        #  max_size:
        #    gb: 3200
logger:
  logs:
#    viseron.components.ffmpeg: critical
#    viseron.components.nvr: debug
#    viseron.components.storage: debug
     viseron.components.webserver: debug

# Now you can restart Viseron and you should be good to go!

Here's the log when I go to the events....

2025-11-24 12:31:40.632 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 0.99ms
2025-11-24 12:31:40.640 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 2.54ms
2025-11-24 12:31:40.648 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.23ms
2025-11-24 12:31:40.653 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 0.91ms
2025-11-24 12:31:40.659 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.22ms
2025-11-24 12:31:40.667 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.62ms
2025-11-24 12:31:40.673 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.10ms
2025-11-24 12:31:40.682 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.11ms
2025-11-24 12:31:40.692 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.39ms
2025-11-24 12:31:40.712 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.24ms
2025-11-24 12:31:40.724 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.17ms
2025-11-24 12:31:40.734 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.32ms
2025-11-24 12:31:40.743 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.26ms
2025-11-24 12:31:40.778 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.14ms
2025-11-24 12:31:40.788 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.30ms
2025-11-24 12:31:40.796 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 1.85ms
2025-11-24 12:31:40.804 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 2.03ms
2025-11-24 12:31:40.810 [WARNING ] [tornado.access] - 404 GET /files/segments/camera_2/init.mp4 (127.0.0.1) 0.76ms
2025-11-24 12:31:40.851 [DEBUG ] [viseron.components.webserver.websocket_api] - Received {"type":"unsubscribe_states","subscription":69,"command_id":84}
2025-11-24 12:31:40.853 [DEBUG ] [viseron.components.webserver.websocket_api] - Received {"type":"unsubscribe_states","subscription":70,"command_id":85}
2025-11-24 12:31:40.855 [DEBUG ] [viseron.components.webserver.websocket_api] - Received {"type":"unsubscribe_states","subscription":71,"command_id":86}
2025-11-24 12:31:40.857 [DEBUG ] [viseron.components.webserver.websocket_api] - Received {"type":"unsubscribe_states","subscription":72,"command_id":87}
2025-11-24 12:31:40.859 [DEBUG ] [viseron.components.webserver.websocket_api] - Received {"type":"unsubscribe_timespans","subscription":80,"command_id":88}
2025-11-24 12:31:40.861 [DEBUG ] [viseron.components.webserver.websocket_api] - Received {"type":"unsubscribe_event","subscription":76,"command_id":89}
2025-11-24 12:31:40.863 [DEBUG ] [viseron.components.webserver.websocket_api] - Received {"type":"unsubscribe_event","subscription":77,"command_id":90}

I only grabbed a snippet... but the log has a ton of the 404 error...but only when I go to events.

0 replies

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!

Replaying an event gives a 404 error #1163

Uh oh!

{{title}}

Uh oh!

Replies: 2 comments

Uh oh!

{{title}}

Uh oh!

Uh oh!

{{title}}

Uh oh!

Uh oh!

{{editor}}'s edit

{{editor}}'s edit

Uh oh!

Select a reply

Uh oh!

Uh oh!

Replaying an event gives a 404 error #1163

Uh oh!

ElectronicEconomy317 Nov 24, 2025

Start by adding some cameras

Then add an object detector

object_detector:

cameras:

camera_1: # Attach detector to the configured camera_1 above

fps: 1

scan_on_motion_only: false # Scan for objects even when there is no motion

labels:

- label: person

confidence: 0.75

trigger_event_recording: true

camera_2: # Attach detector to the configured camera_2 above

fps: 1

labels:

- label: person

confidence: 0.75

trigger_event_recording: true

camera_3: # Attach detector to the configured camera_2 above

fps: 1

labels:

- label: person

confidence: 0.75

trigger_event_recording: true

You can also use motion detection

To tie everything together we need to configure one more component.

tiers:

- path: /snapshots

max_age:

days: 45

max_size:

gb: 3200

logs:

viseron.components.ffmpeg: critical

viseron.components.nvr: debug

viseron.components.storage: debug

Now you can restart Viseron and you should be good to go!

Replies: 2 comments

Uh oh!

roflcoopter Nov 24, 2025 Maintainer

Uh oh!

Uh oh!

ElectronicEconomy317 Nov 24, 2025 Author

ElectronicEconomy317
Nov 24, 2025

roflcoopter
Nov 24, 2025
Maintainer

ElectronicEconomy317
Nov 24, 2025
Author