docker/main/build_pysqlite3.sh

@@ -5,12 +5,6 @@ set -euxo pipefail
 SQLITE3_VERSION="3.46.1"
 PYSQLITE3_VERSION="0.5.3"
 
-# Install libsqlite3-dev if not present (needed for some base images like NVIDIA TensorRT)
-if ! dpkg -l | grep -q libsqlite3-dev; then
-  echo "Installing libsqlite3-dev for compilation..."
-  apt-get update && apt-get install -y libsqlite3-dev && rm -rf /var/lib/apt/lists/*
-fi
-
 # Fetch the pre-built sqlite amalgamation instead of building from source
 if [[ ! -d "sqlite" ]]; then
   mkdir sqlite

docker/main/install_memryx.sh

@@ -2,9 +2,9 @@
 set -e
 
 # Download the MxAccl for Frigate github release
-wget https://github.com/memryx/mx_accl_frigate/archive/refs/tags/v2.1.0.zip -O /tmp/mxaccl.zip
+wget https://github.com/memryx/mx_accl_frigate/archive/refs/heads/main.zip -O /tmp/mxaccl.zip
 unzip /tmp/mxaccl.zip -d /tmp
-mv /tmp/mx_accl_frigate-2.1.0 /opt/mx_accl_frigate
+mv /tmp/mx_accl_frigate-main /opt/mx_accl_frigate
 rm /tmp/mxaccl.zip
 
 # Install Python dependencies

docker/main/requirements-wheels.txt

@@ -56,7 +56,7 @@ pywebpush == 2.0.*
 # alpr
 pyclipper == 1.3.*
 shapely == 2.0.*
-rapidfuzz==3.12.*
+Levenshtein==0.26.*
 # HailoRT Wheels
 appdirs==1.4.*
 argcomplete==2.0.*

docker/memryx/user_installation.sh

@@ -24,13 +24,10 @@ echo "Adding MemryX GPG key and repository..."
 wget -qO- https://developer.memryx.com/deb/memryx.asc | sudo tee /etc/apt/trusted.gpg.d/memryx.asc >/dev/null
 echo 'deb https://developer.memryx.com/deb stable main' | sudo tee /etc/apt/sources.list.d/memryx.list >/dev/null
 
-# Update and install specific SDK 2.1 packages
+# Update and install memx-drivers
-echo "Installing MemryX SDK 2.1 packages..."
+echo "Installing memx-drivers..."
 sudo apt update
-sudo apt install -y memx-drivers=2.1.* memx-accl=2.1.* mxa-manager=2.1.*
+sudo apt install -y memx-drivers
-
-# Hold packages to prevent automatic upgrades
-sudo apt-mark hold memx-drivers memx-accl mxa-manager
 
 # ARM-specific board setup
 if [[ "$arch" == "aarch64" || "$arch" == "arm64" ]]; then
@@ -40,5 +37,11 @@ fi
 
 echo -e "\n\n\033[1;31mYOU MUST RESTART YOUR COMPUTER NOW\033[0m\n\n"
 
-echo "MemryX SDK 2.1 installation complete!"
+# Install other runtime packages
+packages=("memx-accl" "mxa-manager")
+for pkg in "${packages[@]}"; do
+    echo "Installing $pkg..."
+    sudo apt install -y "$pkg"
+done
 
+echo "MemryX installation complete!"

docker/tensorrt/Dockerfile.arm64

@@ -112,7 +112,7 @@ RUN apt-get update \
     && apt-get install -y protobuf-compiler libprotobuf-dev \
     && rm -rf /var/lib/apt/lists/*
 RUN --mount=type=bind,source=docker/tensorrt/requirements-models-arm64.txt,target=/requirements-tensorrt-models.txt \
-    pip3 wheel --wheel-dir=/trt-model-wheels --no-deps -r /requirements-tensorrt-models.txt
+    pip3 wheel --wheel-dir=/trt-model-wheels -r /requirements-tensorrt-models.txt
 
 FROM wget AS jetson-ffmpeg
 ARG DEBIAN_FRONTEND
@@ -145,8 +145,7 @@ COPY --from=trt-wheels /etc/TENSORRT_VER /etc/TENSORRT_VER
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
     --mount=type=bind,from=trt-model-wheels,source=/trt-model-wheels,target=/deps/trt-model-wheels \
     pip3 uninstall -y onnxruntime \
-    && pip3 install -U /deps/trt-wheels/*.whl \
+    && pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
-    && pip3 install -U /deps/trt-model-wheels/*.whl \
     && ldconfig
 
 WORKDIR /opt/frigate/

docker/tensorrt/requirements-arm64.txt

@@ -1,2 +1 @@
 cuda-python == 12.6.*; platform_machine == 'aarch64'
-numpy == 1.26.*; platform_machine == 'aarch64'

docs/docs/configuration/zones.md

@@ -16,7 +16,15 @@ To create a zone, follow [the steps for a "Motion mask"](masks.md), but use the
 
 ### Restricting alerts and detections to specific zones
 
-Often you will only want alerts to be created when an object enters areas of interest. This is done using zones along with setting required_zones. Let's say you only want to have an alert created when an object enters your entire_yard zone, the config would be:
+You can flexibly define alert or detection zones, allowing you to focus on what matters most.
+
+Often you will only want alerts to be created when an object enters areas of interest. This is done using zones along with setting review classification.
+
+For example, you only want to have an alert created when an object enters your `Entire Yard` zone. Simply go to the `Camera → Review → Alerts` settings, check the `Entire Yard` zone you just created, and save the changes.
+
+![Review Classification](/img/zones-review.png)
+
+the config would be:
 
 ```yaml
 cameras:
@@ -27,11 +35,13 @@ cameras:
           - entire_yard
     zones:
       entire_yard:
-        friendly_name: Entire yard # You can use characters from any language text
+        friendly_name: Entire yard🏡 # You can use characters from any language, including emojis.
         coordinates: ...
 ```
 
-You may also want to filter detections to only be created when an object enters a secondary area of interest. This is done using zones along with setting required_zones. Let's say you want alerts when an object enters the inner area of the yard but detections when an object enters the edge of the yard, the config would be
+You may also want to filter detections to only be created when an object enters a secondary area of interest. This is done using zones along with setting required_zones. Let's say you want alerts when an object enters the inner area of the yard but detections when an object enters the edge of the yard. Simply go to the `Detections` option on the previous page, check `Limit detections to specific zones`, and then select the desired zones.
+
+the config would be
 
 ```yaml
 cameras:
@@ -45,10 +55,10 @@ cameras:
           - edge_yard
     zones:
       edge_yard:
-        friendly_name: Edge yard # You can use characters from any language text
+        friendly_name: Edge yard🚗 # You can use characters from any language, including emojis.
         coordinates: ...
       inner_yard:
-        friendly_name: Inner yard # You can use characters from any language text
+        friendly_name: Inner yard🪵 # You can use characters from any language, including emojis.
         coordinates: ...
 ```
 
@@ -62,7 +72,7 @@ cameras:
         - entire_yard
     zones:
       entire_yard:
-        friendly_name: Entire yard
+        friendly_name: Entire yard🏡
         coordinates: ...
 ```
 
@@ -86,6 +96,7 @@ cameras:
 
 Only car objects can trigger the `front_yard_street` zone and only person can trigger the `entire_yard`. Objects will be tracked for any `person` that enter anywhere in the yard, and for cars only if they enter the street.
 
+Of course, you can also manually select the desired tracked Object when editing zones on the `Masks / Zones` page.
 
 ### Zone Loitering
 
@@ -94,6 +105,7 @@ Sometimes objects are expected to be passing through a zone, but an object loite
 :::note
 
 When using loitering zones, a review item will behave in the following way:
+
 - When a person is in a loitering zone, the review item will remain active until the person leaves the loitering zone, regardless of if they are stationary.
 - When any other object is in a loitering zone, the review item will remain active until the loitering time is met. Then if the object is stationary the review item will end.
 

frigate/api/app.py

@@ -37,6 +37,7 @@ from frigate.stats.prometheus import get_metrics, update_metrics
 from frigate.util.builtin import (
     clean_camera_user_pass,
     flatten_config_data,
+    get_tz_modifiers,
     process_config_query_string,
     update_yaml_file_bulk,
 )
@@ -47,7 +48,6 @@ from frigate.util.services import (
     restart_frigate,
     vainfo_hwaccel,
 )
-from frigate.util.time import get_tz_modifiers
 from frigate.version import VERSION
 
 logger = logging.getLogger(__name__)
@@ -403,13 +403,12 @@ def config_set(request: Request, body: AppConfigSetBody):
                     settings,
                 )
             else:
-                # Generic handling for global config updates
+                # Handle nested config updates (e.g., config/classification/custom/{name})
                 settings = config.get_nested_object(body.update_topic)
-
+                if settings:
-                # Publish None for removal, actual config for add/update
+                    request.app.config_publisher.publisher.publish(
-                request.app.config_publisher.publisher.publish(
+                        body.update_topic, settings
-                    body.update_topic, settings
+                    )
-                )
 
     return JSONResponse(
         content=(

frigate/api/classification.py

@@ -31,14 +31,14 @@ from frigate.api.defs.response.generic_response import GenericResponse
 from frigate.api.defs.tags import Tags
 from frigate.config import FrigateConfig
 from frigate.config.camera import DetectConfig
-from frigate.const import CLIPS_DIR, FACE_DIR, MODEL_CACHE_DIR
+from frigate.const import CLIPS_DIR, FACE_DIR
 from frigate.embeddings import EmbeddingsContext
 from frigate.models import Event
 from frigate.util.classification import (
     collect_object_classification_examples,
     collect_state_classification_examples,
 )
-from frigate.util.file import get_event_snapshot
+from frigate.util.path import get_event_snapshot
 
 logger = logging.getLogger(__name__)
 
@@ -828,13 +828,9 @@ def delete_classification_model(request: Request, name: str):
             status_code=404,
         )
 
-    # Delete the classification model's data directory in clips
+    # Delete the classification model's data directory
-    data_dir = os.path.join(CLIPS_DIR, sanitize_filename(name))
+    model_dir = os.path.join(CLIPS_DIR, sanitize_filename(name))
-    if os.path.exists(data_dir):
-        shutil.rmtree(data_dir)
 
-    # Delete the classification model's files in model_cache
-    model_dir = os.path.join(MODEL_CACHE_DIR, sanitize_filename(name))
     if os.path.exists(model_dir):
         shutil.rmtree(model_dir)
 

frigate/api/event.py

@@ -2,7 +2,6 @@
 
 import base64
 import datetime
-import json
 import logging
 import os
 import random
@@ -58,8 +57,8 @@ from frigate.const import CLIPS_DIR, TRIGGER_DIR
 from frigate.embeddings import EmbeddingsContext
 from frigate.models import Event, ReviewSegment, Timeline, Trigger
 from frigate.track.object_processing import TrackedObject
-from frigate.util.file import get_event_thumbnail_bytes
+from frigate.util.builtin import get_tz_modifiers
-from frigate.util.time import get_dst_transitions, get_tz_modifiers
+from frigate.util.path import get_event_thumbnail_bytes
 
 logger = logging.getLogger(__name__)
 
@@ -814,6 +813,7 @@ def events_summary(
     allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
 ):
     tz_name = params.timezone
+    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(tz_name)
     has_clip = params.has_clip
     has_snapshot = params.has_snapshot
 
@@ -828,91 +828,33 @@ def events_summary(
     if len(clauses) == 0:
         clauses.append((True))
 
-    time_range_query = (
+    groups = (
         Event.select(
-            fn.MIN(Event.start_time).alias("min_time"),
+            Event.camera,
-            fn.MAX(Event.start_time).alias("max_time"),
+            Event.label,
+            Event.sub_label,
+            Event.data,
+            fn.strftime(
+                "%Y-%m-%d",
+                fn.datetime(
+                    Event.start_time, "unixepoch", hour_modifier, minute_modifier
+                ),
+            ).alias("day"),
+            Event.zones,
+            fn.COUNT(Event.id).alias("count"),
         )
         .where(reduce(operator.and_, clauses) & (Event.camera << allowed_cameras))
-        .dicts()
+        .group_by(
-        .get()
+            Event.camera,
+            Event.label,
+            Event.sub_label,
+            Event.data,
+            (Event.start_time + seconds_offset).cast("int") / (3600 * 24),
+            Event.zones,
+        )
     )
 
-    min_time = time_range_query.get("min_time")
+    return JSONResponse(content=[e for e in groups.dicts()])
-    max_time = time_range_query.get("max_time")
-
-    if min_time is None or max_time is None:
-        return JSONResponse(content=[])
-
-    dst_periods = get_dst_transitions(tz_name, min_time, max_time)
-
-    grouped: dict[tuple, dict] = {}
-
-    for period_start, period_end, period_offset in dst_periods:
-        hours_offset = int(period_offset / 60 / 60)
-        minutes_offset = int(period_offset / 60 - hours_offset * 60)
-        period_hour_modifier = f"{hours_offset} hour"
-        period_minute_modifier = f"{minutes_offset} minute"
-
-        period_groups = (
-            Event.select(
-                Event.camera,
-                Event.label,
-                Event.sub_label,
-                Event.data,
-                fn.strftime(
-                    "%Y-%m-%d",
-                    fn.datetime(
-                        Event.start_time,
-                        "unixepoch",
-                        period_hour_modifier,
-                        period_minute_modifier,
-                    ),
-                ).alias("day"),
-                Event.zones,
-                fn.COUNT(Event.id).alias("count"),
-            )
-            .where(
-                reduce(operator.and_, clauses)
-                & (Event.camera << allowed_cameras)
-                & (Event.start_time >= period_start)
-                & (Event.start_time <= period_end)
-            )
-            .group_by(
-                Event.camera,
-                Event.label,
-                Event.sub_label,
-                Event.data,
-                (Event.start_time + period_offset).cast("int") / (3600 * 24),
-                Event.zones,
-            )
-            .namedtuples()
-        )
-
-        for g in period_groups:
-            key = (
-                g.camera,
-                g.label,
-                g.sub_label,
-                json.dumps(g.data, sort_keys=True) if g.data is not None else None,
-                g.day,
-                json.dumps(g.zones, sort_keys=True) if g.zones is not None else None,
-            )
-
-            if key in grouped:
-                grouped[key]["count"] += int(g.count or 0)
-            else:
-                grouped[key] = {
-                    "camera": g.camera,
-                    "label": g.label,
-                    "sub_label": g.sub_label,
-                    "data": g.data,
-                    "day": g.day,
-                    "zones": g.zones,
-                    "count": int(g.count or 0),
-                }
-
-    return JSONResponse(content=list(grouped.values()))
 
 
 @router.get(

frigate/api/export.py

@@ -34,7 +34,7 @@ from frigate.record.export import (
     PlaybackSourceEnum,
     RecordingExporter,
 )
-from frigate.util.time import is_current_hour
+from frigate.util.builtin import is_current_hour
 
 logger = logging.getLogger(__name__)
 

frigate/api/media.py

@@ -44,9 +44,9 @@ from frigate.const import (
 )
 from frigate.models import Event, Previews, Recordings, Regions, ReviewSegment
 from frigate.track.object_processing import TrackedObjectProcessor
-from frigate.util.file import get_event_thumbnail_bytes
+from frigate.util.builtin import get_tz_modifiers
 from frigate.util.image import get_image_from_recording
-from frigate.util.time import get_dst_transitions
+from frigate.util.path import get_event_thumbnail_bytes
 
 logger = logging.getLogger(__name__)
 
@@ -424,6 +424,7 @@ def all_recordings_summary(
     allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
 ):
     """Returns true/false by day indicating if recordings exist"""
+    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(params.timezone)
 
     cameras = params.cameras
     if cameras != "all":
@@ -431,70 +432,41 @@ def all_recordings_summary(
         filtered = requested.intersection(allowed_cameras)
         if not filtered:
             return JSONResponse(content={})
-        camera_list = list(filtered)
+        cameras = ",".join(filtered)
     else:
-        camera_list = allowed_cameras
+        cameras = allowed_cameras
 
-    time_range_query = (
+    query = (
         Recordings.select(
-            fn.MIN(Recordings.start_time).alias("min_time"),
+            fn.strftime(
-            fn.MAX(Recordings.start_time).alias("max_time"),
+                "%Y-%m-%d",
+                fn.datetime(
+                    Recordings.start_time + seconds_offset,
+                    "unixepoch",
+                    hour_modifier,
+                    minute_modifier,
+                ),
+            ).alias("day")
         )
-        .where(Recordings.camera << camera_list)
+        .group_by(
-        .dicts()
+            fn.strftime(
-        .get()
+                "%Y-%m-%d",
+                fn.datetime(
+                    Recordings.start_time + seconds_offset,
+                    "unixepoch",
+                    hour_modifier,
+                    minute_modifier,
+                ),
+            )
+        )
+        .order_by(Recordings.start_time.desc())
     )
 
-    min_time = time_range_query.get("min_time")
+    if params.cameras != "all":
-    max_time = time_range_query.get("max_time")
+        query = query.where(Recordings.camera << cameras.split(","))
 
-    if min_time is None or max_time is None:
+    recording_days = query.namedtuples()
-        return JSONResponse(content={})
+    days = {day.day: True for day in recording_days}
-
-    dst_periods = get_dst_transitions(params.timezone, min_time, max_time)
-
-    days: dict[str, bool] = {}
-
-    for period_start, period_end, period_offset in dst_periods:
-        hours_offset = int(period_offset / 60 / 60)
-        minutes_offset = int(period_offset / 60 - hours_offset * 60)
-        period_hour_modifier = f"{hours_offset} hour"
-        period_minute_modifier = f"{minutes_offset} minute"
-
-        period_query = (
-            Recordings.select(
-                fn.strftime(
-                    "%Y-%m-%d",
-                    fn.datetime(
-                        Recordings.start_time,
-                        "unixepoch",
-                        period_hour_modifier,
-                        period_minute_modifier,
-                    ),
-                ).alias("day")
-            )
-            .where(
-                (Recordings.camera << camera_list)
-                & (Recordings.end_time >= period_start)
-                & (Recordings.start_time <= period_end)
-            )
-            .group_by(
-                fn.strftime(
-                    "%Y-%m-%d",
-                    fn.datetime(
-                        Recordings.start_time,
-                        "unixepoch",
-                        period_hour_modifier,
-                        period_minute_modifier,
-                    ),
-                )
-            )
-            .order_by(Recordings.start_time.desc())
-            .namedtuples()
-        )
-
-        for g in period_query:
-            days[g.day] = True
 
     return JSONResponse(content=days)
 
@@ -504,103 +476,61 @@ def all_recordings_summary(
 )
 async def recordings_summary(camera_name: str, timezone: str = "utc"):
     """Returns hourly summary for recordings of given camera"""
-
+    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(timezone)
-    time_range_query = (
+    recording_groups = (
         Recordings.select(
-            fn.MIN(Recordings.start_time).alias("min_time"),
+            fn.strftime(
-            fn.MAX(Recordings.start_time).alias("max_time"),
+                "%Y-%m-%d %H",
+                fn.datetime(
+                    Recordings.start_time, "unixepoch", hour_modifier, minute_modifier
+                ),
+            ).alias("hour"),
+            fn.SUM(Recordings.duration).alias("duration"),
+            fn.SUM(Recordings.motion).alias("motion"),
+            fn.SUM(Recordings.objects).alias("objects"),
         )
         .where(Recordings.camera == camera_name)
-        .dicts()
+        .group_by((Recordings.start_time + seconds_offset).cast("int") / 3600)
-        .get()
+        .order_by(Recordings.start_time.desc())
+        .namedtuples()
     )
 
-    min_time = time_range_query.get("min_time")
+    event_groups = (
-    max_time = time_range_query.get("max_time")
+        Event.select(
-
+            fn.strftime(
-    days: dict[str, dict] = {}
+                "%Y-%m-%d %H",
-
+                fn.datetime(
-    if min_time is None or max_time is None:
+                    Event.start_time, "unixepoch", hour_modifier, minute_modifier
-        return JSONResponse(content=list(days.values()))
+                ),
-
+            ).alias("hour"),
-    dst_periods = get_dst_transitions(timezone, min_time, max_time)
+            fn.COUNT(Event.id).alias("count"),
-
-    for period_start, period_end, period_offset in dst_periods:
-        hours_offset = int(period_offset / 60 / 60)
-        minutes_offset = int(period_offset / 60 - hours_offset * 60)
-        period_hour_modifier = f"{hours_offset} hour"
-        period_minute_modifier = f"{minutes_offset} minute"
-
-        recording_groups = (
-            Recordings.select(
-                fn.strftime(
-                    "%Y-%m-%d %H",
-                    fn.datetime(
-                        Recordings.start_time,
-                        "unixepoch",
-                        period_hour_modifier,
-                        period_minute_modifier,
-                    ),
-                ).alias("hour"),
-                fn.SUM(Recordings.duration).alias("duration"),
-                fn.SUM(Recordings.motion).alias("motion"),
-                fn.SUM(Recordings.objects).alias("objects"),
-            )
-            .where(
-                (Recordings.camera == camera_name)
-                & (Recordings.end_time >= period_start)
-                & (Recordings.start_time <= period_end)
-            )
-            .group_by((Recordings.start_time + period_offset).cast("int") / 3600)
-            .order_by(Recordings.start_time.desc())
-            .namedtuples()
         )
+        .where(Event.camera == camera_name, Event.has_clip)
+        .group_by((Event.start_time + seconds_offset).cast("int") / 3600)
+        .namedtuples()
+    )
 
-        event_groups = (
+    event_map = {g.hour: g.count for g in event_groups}
-            Event.select(
-                fn.strftime(
-                    "%Y-%m-%d %H",
-                    fn.datetime(
-                        Event.start_time,
-                        "unixepoch",
-                        period_hour_modifier,
-                        period_minute_modifier,
-                    ),
-                ).alias("hour"),
-                fn.COUNT(Event.id).alias("count"),
-            )
-            .where(Event.camera == camera_name, Event.has_clip)
-            .where(
-                (Event.start_time >= period_start) & (Event.start_time <= period_end)
-            )
-            .group_by((Event.start_time + period_offset).cast("int") / 3600)
-            .namedtuples()
-        )
 
-        event_map = {g.hour: g.count for g in event_groups}
+    days = {}
 
-        for recording_group in recording_groups:
+    for recording_group in recording_groups:
-            parts = recording_group.hour.split()
+        parts = recording_group.hour.split()
-            hour = parts[1]
+        hour = parts[1]
-            day = parts[0]
+        day = parts[0]
-            events_count = event_map.get(recording_group.hour, 0)
+        events_count = event_map.get(recording_group.hour, 0)
-            hour_data = {
+        hour_data = {
-                "hour": hour,
+            "hour": hour,
-                "events": events_count,
+            "events": events_count,
-                "motion": recording_group.motion,
+            "motion": recording_group.motion,
-                "objects": recording_group.objects,
+            "objects": recording_group.objects,
-                "duration": round(recording_group.duration),
+            "duration": round(recording_group.duration),
-            }
+        }
-            if day in days:
+        if day not in days:
-                # merge counts if already present (edge-case at DST boundary)
+            days[day] = {"events": events_count, "hours": [hour_data], "day": day}
-                days[day]["events"] += events_count or 0
+        else:
-                days[day]["hours"].append(hour_data)
+            days[day]["events"] += events_count
-            else:
+            days[day]["hours"].append(hour_data)
-                days[day] = {
-                    "events": events_count or 0,
-                    "hours": [hour_data],
-                    "day": day,
-                }
 
     return JSONResponse(content=list(days.values()))
 

frigate/api/review.py

@@ -36,7 +36,7 @@ from frigate.config import FrigateConfig
 from frigate.embeddings import EmbeddingsContext
 from frigate.models import Recordings, ReviewSegment, UserReviewStatus
 from frigate.review.types import SeverityEnum
-from frigate.util.time import get_dst_transitions
+from frigate.util.builtin import get_tz_modifiers
 
 logger = logging.getLogger(__name__)
 
@@ -197,6 +197,7 @@ async def review_summary(
 
     user_id = current_user["username"]
 
+    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(params.timezone)
     day_ago = (datetime.datetime.now() - datetime.timedelta(hours=24)).timestamp()
 
     cameras = params.cameras
@@ -328,135 +329,89 @@ async def review_summary(
             )
         clauses.append(reduce(operator.or_, label_clauses))
 
-    # Find the time range of available data
+    day_in_seconds = 60 * 60 * 24
-    time_range_query = (
+    last_month_query = (
         ReviewSegment.select(
-            fn.MIN(ReviewSegment.start_time).alias("min_time"),
+            fn.strftime(
-            fn.MAX(ReviewSegment.start_time).alias("max_time"),
+                "%Y-%m-%d",
+                fn.datetime(
+                    ReviewSegment.start_time,
+                    "unixepoch",
+                    hour_modifier,
+                    minute_modifier,
+                ),
+            ).alias("day"),
+            fn.SUM(
+                Case(
+                    None,
+                    [
+                        (
+                            (ReviewSegment.severity == SeverityEnum.alert)
+                            & (UserReviewStatus.has_been_reviewed == True),
+                            1,
+                        )
+                    ],
+                    0,
+                )
+            ).alias("reviewed_alert"),
+            fn.SUM(
+                Case(
+                    None,
+                    [
+                        (
+                            (ReviewSegment.severity == SeverityEnum.detection)
+                            & (UserReviewStatus.has_been_reviewed == True),
+                            1,
+                        )
+                    ],
+                    0,
+                )
+            ).alias("reviewed_detection"),
+            fn.SUM(
+                Case(
+                    None,
+                    [
+                        (
+                            (ReviewSegment.severity == SeverityEnum.alert),
+                            1,
+                        )
+                    ],
+                    0,
+                )
+            ).alias("total_alert"),
+            fn.SUM(
+                Case(
+                    None,
+                    [
+                        (
+                            (ReviewSegment.severity == SeverityEnum.detection),
+                            1,
+                        )
+                    ],
+                    0,
+                )
+            ).alias("total_detection"),
+        )
+        .left_outer_join(
+            UserReviewStatus,
+            on=(
+                (ReviewSegment.id == UserReviewStatus.review_segment)
+                & (UserReviewStatus.user_id == user_id)
+            ),
         )
         .where(reduce(operator.and_, clauses) if clauses else True)
-        .dicts()
+        .group_by(
-        .get()
+            (ReviewSegment.start_time + seconds_offset).cast("int") / day_in_seconds
+        )
+        .order_by(ReviewSegment.start_time.desc())
     )
 
-    min_time = time_range_query.get("min_time")
-    max_time = time_range_query.get("max_time")
-
     data = {
         "last24Hours": last_24_query,
     }
 
-    # If no data, return early
+    for e in last_month_query.dicts().iterator():
-    if min_time is None or max_time is None:
+        data[e["day"]] = e
-        return JSONResponse(content=data)
-
-    # Get DST transition periods
-    dst_periods = get_dst_transitions(params.timezone, min_time, max_time)
-
-    day_in_seconds = 60 * 60 * 24
-
-    # Query each DST period separately with the correct offset
-    for period_start, period_end, period_offset in dst_periods:
-        # Calculate hour/minute modifiers for this period
-        hours_offset = int(period_offset / 60 / 60)
-        minutes_offset = int(period_offset / 60 - hours_offset * 60)
-        period_hour_modifier = f"{hours_offset} hour"
-        period_minute_modifier = f"{minutes_offset} minute"
-
-        # Build clauses including time range for this period
-        period_clauses = clauses.copy()
-        period_clauses.append(
-            (ReviewSegment.start_time >= period_start)
-            & (ReviewSegment.start_time <= period_end)
-        )
-
-        period_query = (
-            ReviewSegment.select(
-                fn.strftime(
-                    "%Y-%m-%d",
-                    fn.datetime(
-                        ReviewSegment.start_time,
-                        "unixepoch",
-                        period_hour_modifier,
-                        period_minute_modifier,
-                    ),
-                ).alias("day"),
-                fn.SUM(
-                    Case(
-                        None,
-                        [
-                            (
-                                (ReviewSegment.severity == SeverityEnum.alert)
-                                & (UserReviewStatus.has_been_reviewed == True),
-                                1,
-                            )
-                        ],
-                        0,
-                    )
-                ).alias("reviewed_alert"),
-                fn.SUM(
-                    Case(
-                        None,
-                        [
-                            (
-                                (ReviewSegment.severity == SeverityEnum.detection)
-                                & (UserReviewStatus.has_been_reviewed == True),
-                                1,
-                            )
-                        ],
-                        0,
-                    )
-                ).alias("reviewed_detection"),
-                fn.SUM(
-                    Case(
-                        None,
-                        [
-                            (
-                                (ReviewSegment.severity == SeverityEnum.alert),
-                                1,
-                            )
-                        ],
-                        0,
-                    )
-                ).alias("total_alert"),
-                fn.SUM(
-                    Case(
-                        None,
-                        [
-                            (
-                                (ReviewSegment.severity == SeverityEnum.detection),
-                                1,
-                            )
-                        ],
-                        0,
-                    )
-                ).alias("total_detection"),
-            )
-            .left_outer_join(
-                UserReviewStatus,
-                on=(
-                    (ReviewSegment.id == UserReviewStatus.review_segment)
-                    & (UserReviewStatus.user_id == user_id)
-                ),
-            )
-            .where(reduce(operator.and_, period_clauses))
-            .group_by(
-                (ReviewSegment.start_time + period_offset).cast("int") / day_in_seconds
-            )
-            .order_by(ReviewSegment.start_time.desc())
-        )
-
-        # Merge results from this period
-        for e in period_query.dicts().iterator():
-            day_key = e["day"]
-            if day_key in data:
-                # Merge counts if day already exists (edge case at DST boundary)
-                data[day_key]["reviewed_alert"] += e["reviewed_alert"] or 0
-                data[day_key]["reviewed_detection"] += e["reviewed_detection"] or 0
-                data[day_key]["total_alert"] += e["total_alert"] or 0
-                data[day_key]["total_detection"] += e["total_detection"] or 0
-            else:
-                data[day_key] = e
 
     return JSONResponse(content=data)
 

frigate/data_processing/common/license_plate/mixin.py

@@ -14,8 +14,8 @@ from typing import Any, List, Optional, Tuple
 
 import cv2
 import numpy as np
+from Levenshtein import distance, jaro_winkler
 from pyclipper import ET_CLOSEDPOLYGON, JT_ROUND, PyclipperOffset
-from rapidfuzz.distance import JaroWinkler, Levenshtein
 from shapely.geometry import Polygon
 
 from frigate.comms.event_metadata_updater import (
@@ -1123,9 +1123,7 @@ class LicensePlateProcessingMixin:
         for i, plate in enumerate(plates):
             merged = False
             for j, cluster in enumerate(clusters):
-                sims = [
+                sims = [jaro_winkler(plate["plate"], v["plate"]) for v in cluster]
-                    JaroWinkler.similarity(plate["plate"], v["plate"]) for v in cluster
-                ]
                 if len(sims) > 0:
                     avg_sim = sum(sims) / len(sims)
                     if avg_sim >= self.cluster_threshold:
@@ -1502,7 +1500,7 @@ class LicensePlateProcessingMixin:
                     and current_time - data["last_seen"]
                     <= self.config.cameras[camera].lpr.expire_time
                 ):
-                    similarity = JaroWinkler.similarity(data["plate"], top_plate)
+                    similarity = jaro_winkler(data["plate"], top_plate)
                     if similarity >= self.similarity_threshold:
                         plate_id = existing_id
                         logger.debug(
@@ -1582,8 +1580,7 @@ class LicensePlateProcessingMixin:
                     for label, plates_list in self.lpr_config.known_plates.items()
                     if any(
                         re.match(f"^{plate}$", rep_plate)
-                        or Levenshtein.distance(plate, rep_plate)
+                        or distance(plate, rep_plate) <= self.lpr_config.match_distance
-                        <= self.lpr_config.match_distance
                         for plate in plates_list
                     )
                 ),

frigate/data_processing/post/object_descriptions.py

@@ -20,8 +20,8 @@ from frigate.genai import GenAIClient
 from frigate.models import Event
 from frigate.types import TrackedObjectUpdateTypesEnum
 from frigate.util.builtin import EventsPerSecond, InferenceSpeed
-from frigate.util.file import get_event_thumbnail_bytes
 from frigate.util.image import create_thumbnail, ensure_jpeg_bytes
+from frigate.util.path import get_event_thumbnail_bytes
 
 if TYPE_CHECKING:
     from frigate.embeddings import Embeddings

frigate/data_processing/post/semantic_trigger.py

@@ -22,7 +22,7 @@ from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.embeddings.util import ZScoreNormalization
 from frigate.models import Event, Trigger
 from frigate.util.builtin import cosine_distance
-from frigate.util.file import get_event_thumbnail_bytes
+from frigate.util.path import get_event_thumbnail_bytes
 
 from ..post.api import PostProcessorApi
 from ..types import DataProcessorMetrics

frigate/data_processing/real_time/custom_classification.py

@@ -466,7 +466,6 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
             now,
             self.labelmap[best_id],
             score,
-            max_files=200,
         )
 
         if score < self.model_config.threshold:
@@ -530,7 +529,6 @@ def write_classification_attempt(
     timestamp: float,
     label: str,
     score: float,
-    max_files: int = 100,
 ) -> None:
     if "-" in label:
         label = label.replace("-", "_")
@@ -546,5 +544,5 @@ def write_classification_attempt(
     )
 
     # delete oldest face image if maximum is reached
-    if len(files) > max_files:
+    if len(files) > 100:
         os.unlink(os.path.join(folder, files[-1]))

frigate/data_processing/real_time/face.py

@@ -166,7 +166,6 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
         camera = obj_data["camera"]
 
         if not self.config.cameras[camera].face_recognition.enabled:
-            logger.debug(f"Face recognition disabled for camera {camera}, skipping")
             return
 
         start = datetime.datetime.now().timestamp()
@@ -209,7 +208,6 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
             person_box = obj_data.get("box")
 
             if not person_box:
-                logger.debug(f"No person box available for {id}")
                 return
 
             rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
@@ -235,8 +233,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
             try:
                 face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)
-            except Exception as e:
+            except Exception:
-                logger.debug(f"Failed to convert face frame color for {id}: {e}")
                 return
         else:
             # don't run for object without attributes
@@ -254,7 +251,6 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
             # no faces detected in this frame
             if not face:
-                logger.debug(f"No face attributes found for {id}")
                 return
 
             face_box = face.get("box")
@@ -278,7 +274,6 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
         res = self.recognizer.classify(face_frame)
 
         if not res:
-            logger.debug(f"Face recognizer returned no result for {id}")
             self.__update_metrics(datetime.datetime.now().timestamp() - start)
             return
 
@@ -335,7 +330,6 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
     def handle_request(self, topic, request_data) -> dict[str, Any] | None:
         if topic == EmbeddingsRequestEnum.clear_face_classifier.value:
             self.recognizer.clear()
-            return {"success": True, "message": "Face classifier cleared."}
         elif topic == EmbeddingsRequestEnum.recognize_face.value:
             img = cv2.imdecode(
                 np.frombuffer(base64.b64decode(request_data["image"]), dtype=np.uint8),

frigate/detectors/plugins/memryx.py

@@ -17,7 +17,6 @@ from frigate.detectors.detector_config import (
     BaseDetectorConfig,
     ModelTypeEnum,
 )
-from frigate.util.file import FileLock
 from frigate.util.model import post_process_yolo
 
 logger = logging.getLogger(__name__)
@@ -178,6 +177,29 @@ class MemryXDetector(DetectionApi):
             logger.error(f"Failed to initialize MemryX model: {e}")
             raise
 
+    def _acquire_file_lock(self, lock_path: str, timeout: int = 60, poll: float = 0.2):
+        """
+        Create an exclusive lock file. Blocks (with polling) until it can acquire,
+        or raises TimeoutError. Uses only stdlib (os.O_EXCL).
+        """
+        start = time.time()
+        while True:
+            try:
+                fd = os.open(lock_path, os.O_CREAT | os.O_EXCL | os.O_RDWR)
+                os.close(fd)
+                return
+            except FileExistsError:
+                if time.time() - start > timeout:
+                    raise TimeoutError(f"Timeout waiting for lock: {lock_path}")
+                time.sleep(poll)
+
+    def _release_file_lock(self, lock_path: str):
+        """Best-effort removal of the lock file."""
+        try:
+            os.remove(lock_path)
+        except FileNotFoundError:
+            pass
+
     def load_yolo_constants(self):
         base = f"{self.cache_dir}/{self.model_folder}"
         # constants for yolov9 post-processing
@@ -190,9 +212,9 @@ class MemryXDetector(DetectionApi):
             os.makedirs(self.cache_dir, exist_ok=True)
 
         lock_path = os.path.join(self.cache_dir, f".{self.model_folder}.lock")
-        lock = FileLock(lock_path, timeout=60)
+        self._acquire_file_lock(lock_path)
 
-        with lock:
+        try:
             # ---------- CASE 1: user provided a custom model path ----------
             if self.memx_model_path:
                 if not self.memx_model_path.endswith(".zip"):
@@ -316,6 +338,9 @@ class MemryXDetector(DetectionApi):
                             f"Failed to remove downloaded zip {zip_path}: {e}"
                         )
 
+        finally:
+            self._release_file_lock(lock_path)
+
     def send_input(self, connection_id, tensor_input: np.ndarray):
         """Pre-process (if needed) and send frame to MemryX input queue"""
         if tensor_input is None:

frigate/embeddings/embeddings.py

@@ -29,7 +29,7 @@ from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.models import Event, Trigger
 from frigate.types import ModelStatusTypesEnum
 from frigate.util.builtin import EventsPerSecond, InferenceSpeed, serialize
-from frigate.util.file import get_event_thumbnail_bytes
+from frigate.util.path import get_event_thumbnail_bytes
 
 from .onnx.jina_v1_embedding import JinaV1ImageEmbedding, JinaV1TextEmbedding
 from .onnx.jina_v2_embedding import JinaV2Embedding

frigate/embeddings/maintainer.py

@@ -62,8 +62,8 @@ from frigate.events.types import EventTypeEnum, RegenerateDescriptionEnum
 from frigate.genai import get_genai_client
 from frigate.models import Event, Recordings, ReviewSegment, Trigger
 from frigate.util.builtin import serialize
-from frigate.util.file import get_event_thumbnail_bytes
 from frigate.util.image import SharedMemoryFrameManager
+from frigate.util.path import get_event_thumbnail_bytes
 
 from .embeddings import Embeddings
 
@@ -158,13 +158,11 @@ class EmbeddingMaintainer(threading.Thread):
         self.realtime_processors: list[RealTimeProcessorApi] = []
 
         if self.config.face_recognition.enabled:
-            logger.debug("Face recognition enabled, initializing FaceRealTimeProcessor")
             self.realtime_processors.append(
                 FaceRealTimeProcessor(
                     self.config, self.requestor, self.event_metadata_publisher, metrics
                 )
             )
-            logger.debug("FaceRealTimeProcessor initialized successfully")
 
         if self.config.classification.bird.enabled:
             self.realtime_processors.append(
@@ -285,66 +283,45 @@ class EmbeddingMaintainer(threading.Thread):
         logger.info("Exiting embeddings maintenance...")
 
     def _check_classification_config_updates(self) -> None:
-        """Check for classification config updates and add/remove processors."""
+        """Check for classification config updates and add new processors."""
         topic, model_config = self.classification_config_subscriber.check_for_update()
 
-        if topic:
+        if topic and model_config:
             model_name = topic.split("/")[-1]
+            self.config.classification.custom[model_name] = model_config
 
-            if model_config is None:
+            # Check if processor already exists
-                self.realtime_processors = [
+            for processor in self.realtime_processors:
-                    processor
+                if isinstance(
-                    for processor in self.realtime_processors
+                    processor,
-                    if not (
+                    (
-                        isinstance(
+                        CustomStateClassificationProcessor,
-                            processor,
+                        CustomObjectClassificationProcessor,
-                            (
+                    ),
-                                CustomStateClassificationProcessor,
+                ):
-                                CustomObjectClassificationProcessor,
+                    if processor.model_config.name == model_name:
-                            ),
+                        logger.debug(
+                            f"Classification processor for model {model_name} already exists, skipping"
                         )
-                        and processor.model_config.name == model_name
+                        return
-                    )
-                ]
 
-                logger.info(
+            if model_config.state_config is not None:
-                    f"Successfully removed classification processor for model: {model_name}"
+                processor = CustomStateClassificationProcessor(
+                    self.config, model_config, self.requestor, self.metrics
                 )
             else:
-                self.config.classification.custom[model_name] = model_config
+                processor = CustomObjectClassificationProcessor(
-
+                    self.config,
-                # Check if processor already exists
+                    model_config,
-                for processor in self.realtime_processors:
+                    self.event_metadata_publisher,
-                    if isinstance(
+                    self.metrics,
-                        processor,
-                        (
-                            CustomStateClassificationProcessor,
-                            CustomObjectClassificationProcessor,
-                        ),
-                    ):
-                        if processor.model_config.name == model_name:
-                            logger.debug(
-                                f"Classification processor for model {model_name} already exists, skipping"
-                            )
-                            return
-
-                if model_config.state_config is not None:
-                    processor = CustomStateClassificationProcessor(
-                        self.config, model_config, self.requestor, self.metrics
-                    )
-                else:
-                    processor = CustomObjectClassificationProcessor(
-                        self.config,
-                        model_config,
-                        self.event_metadata_publisher,
-                        self.metrics,
-                    )
-
-                self.realtime_processors.append(processor)
-                logger.info(
-                    f"Added classification processor for model: {model_name} (type: {type(processor).__name__})"
                 )
 
+            self.realtime_processors.append(processor)
+            logger.info(
+                f"Added classification processor for model: {model_name} (type: {type(processor).__name__})"
+            )
+
     def _process_requests(self) -> None:
         """Process embeddings requests"""
 
@@ -397,14 +374,7 @@ class EmbeddingMaintainer(threading.Thread):
 
         source_type, _, camera, frame_name, data = update
 
-        logger.debug(
-            f"Received update - source_type: {source_type}, camera: {camera}, data label: {data.get('label') if data else 'None'}"
-        )
-
         if not camera or source_type != EventTypeEnum.tracked_object:
-            logger.debug(
-                f"Skipping update - camera: {camera}, source_type: {source_type}"
-            )
             return
 
         if self.config.semantic_search.enabled:
@@ -414,9 +384,6 @@ class EmbeddingMaintainer(threading.Thread):
 
         # no need to process updated objects if no processors are active
         if len(self.realtime_processors) == 0 and len(self.post_processors) == 0:
-            logger.debug(
-                f"No processors active - realtime: {len(self.realtime_processors)}, post: {len(self.post_processors)}"
-            )
             return
 
         # Create our own thumbnail based on the bounding box and the frame time
@@ -425,7 +392,6 @@ class EmbeddingMaintainer(threading.Thread):
                 frame_name, camera_config.frame_shape_yuv
             )
         except FileNotFoundError:
-            logger.debug(f"Frame {frame_name} not found for camera {camera}")
             pass
 
         if yuv_frame is None:
@@ -434,11 +400,7 @@ class EmbeddingMaintainer(threading.Thread):
             )
             return
 
-        logger.debug(
-            f"Processing {len(self.realtime_processors)} realtime processors for object {data.get('id')} (label: {data.get('label')})"
-        )
         for processor in self.realtime_processors:
-            logger.debug(f"Calling process_frame on {processor.__class__.__name__}")
             processor.process_frame(data, yuv_frame)
 
         for processor in self.post_processors:

frigate/events/cleanup.py

@@ -12,7 +12,7 @@ from frigate.config import FrigateConfig
 from frigate.const import CLIPS_DIR
 from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.models import Event, Timeline
-from frigate.util.file import delete_event_snapshot, delete_event_thumbnail
+from frigate.util.path import delete_event_snapshot, delete_event_thumbnail
 
 logger = logging.getLogger(__name__)
 

frigate/object_detection/base.py

@@ -9,7 +9,6 @@ from multiprocessing import Queue, Value
 from multiprocessing.synchronize import Event as MpEvent
 
 import numpy as np
-import zmq
 
 from frigate.comms.object_detector_signaler import (
     ObjectDetectorPublisher,
@@ -378,15 +377,6 @@ class RemoteObjectDetector:
         if self.stop_event.is_set():
             return detections
 
-        # Drain any stale detection results from the ZMQ buffer before making a new request
-        # This prevents reading detection results from a previous request
-        # NOTE: This should never happen, but can in some rare cases
-        while True:
-            try:
-                self.detector_subscriber.socket.recv_string(flags=zmq.NOBLOCK)
-            except zmq.Again:
-                break
-
         # copy input to shared memory
         self.np_shm[:] = tensor_input[:]
         self.detection_queue.put(self.name)

frigate/record/cleanup.py

@@ -14,8 +14,7 @@ from frigate.config import CameraConfig, FrigateConfig, RetainModeEnum
 from frigate.const import CACHE_DIR, CLIPS_DIR, MAX_WAL_SIZE, RECORD_DIR
 from frigate.models import Previews, Recordings, ReviewSegment, UserReviewStatus
 from frigate.record.util import remove_empty_directories, sync_recordings
-from frigate.util.builtin import clear_and_unlink
+from frigate.util.builtin import clear_and_unlink, get_tomorrow_at_time
-from frigate.util.time import get_tomorrow_at_time
 
 logger = logging.getLogger(__name__)
 

frigate/record/export.py

@@ -28,7 +28,7 @@ from frigate.ffmpeg_presets import (
     parse_preset_hardware_acceleration_encode,
 )
 from frigate.models import Export, Previews, Recordings
-from frigate.util.time import is_current_hour
+from frigate.util.builtin import is_current_hour
 
 logger = logging.getLogger(__name__)
 

frigate/util/builtin.py

@@ -15,9 +15,12 @@ from collections.abc import Mapping
 from multiprocessing.sharedctypes import Synchronized
 from pathlib import Path
 from typing import Any, Dict, Optional, Tuple, Union
+from zoneinfo import ZoneInfoNotFoundError
 
 import numpy as np
+import pytz
 from ruamel.yaml import YAML
+from tzlocal import get_localzone
 
 from frigate.const import REGEX_HTTP_CAMERA_USER_PASS, REGEX_RTSP_CAMERA_USER_PASS
 
@@ -154,6 +157,17 @@ def load_labels(path: Optional[str], encoding="utf-8", prefill=91):
         return labels
 
 
+def get_tz_modifiers(tz_name: str) -> Tuple[str, str, float]:
+    seconds_offset = (
+        datetime.datetime.now(pytz.timezone(tz_name)).utcoffset().total_seconds()
+    )
+    hours_offset = int(seconds_offset / 60 / 60)
+    minutes_offset = int(seconds_offset / 60 - hours_offset * 60)
+    hour_modifier = f"{hours_offset} hour"
+    minute_modifier = f"{minutes_offset} minute"
+    return hour_modifier, minute_modifier, seconds_offset
+
+
 def to_relative_box(
     width: int, height: int, box: Tuple[int, int, int, int]
 ) -> Tuple[int | float, int | float, int | float, int | float]:
@@ -284,6 +298,34 @@ def find_by_key(dictionary, target_key):
     return None
 
 
+def get_tomorrow_at_time(hour: int) -> datetime.datetime:
+    """Returns the datetime of the following day at 2am."""
+    try:
+        tomorrow = datetime.datetime.now(get_localzone()) + datetime.timedelta(days=1)
+    except ZoneInfoNotFoundError:
+        tomorrow = datetime.datetime.now(datetime.timezone.utc) + datetime.timedelta(
+            days=1
+        )
+        logger.warning(
+            "Using utc for maintenance due to missing or incorrect timezone set"
+        )
+
+    return tomorrow.replace(hour=hour, minute=0, second=0).astimezone(
+        datetime.timezone.utc
+    )
+
+
+def is_current_hour(timestamp: int) -> bool:
+    """Returns if timestamp is in the current UTC hour."""
+    start_of_next_hour = (
+        datetime.datetime.now(datetime.timezone.utc).replace(
+            minute=0, second=0, microsecond=0
+        )
+        + datetime.timedelta(hours=1)
+    ).timestamp()
+    return timestamp < start_of_next_hour
+
+
 def clear_and_unlink(file: Path, missing_ok: bool = True) -> None:
     """clear file then unlink to avoid space retained by file descriptors."""
     if not missing_ok and not file.exists():

frigate/util/classification.py

@@ -20,8 +20,8 @@ from frigate.const import (
 from frigate.log import redirect_output_to_logger
 from frigate.models import Event, Recordings, ReviewSegment
 from frigate.types import ModelStatusTypesEnum
-from frigate.util.file import get_event_thumbnail_bytes
 from frigate.util.image import get_image_from_recording
+from frigate.util.path import get_event_thumbnail_bytes
 from frigate.util.process import FrigateProcess
 
 BATCH_SIZE = 16

frigate/util/downloader.py

@@ -1,6 +1,7 @@
 import logging
 import os
 import threading
+import time
 from pathlib import Path
 from typing import Callable, List
 
@@ -9,11 +10,40 @@ import requests
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.const import UPDATE_MODEL_STATE
 from frigate.types import ModelStatusTypesEnum
-from frigate.util.file import FileLock
 
 logger = logging.getLogger(__name__)
 
 
+class FileLock:
+    def __init__(self, path):
+        self.path = path
+        self.lock_file = f"{path}.lock"
+
+        # we have not acquired the lock yet so it should not exist
+        if os.path.exists(self.lock_file):
+            try:
+                os.remove(self.lock_file)
+            except Exception:
+                pass
+
+    def acquire(self):
+        parent_dir = os.path.dirname(self.lock_file)
+        os.makedirs(parent_dir, exist_ok=True)
+
+        while True:
+            try:
+                with open(self.lock_file, "x"):
+                    return
+            except FileExistsError:
+                time.sleep(0.1)
+
+    def release(self):
+        try:
+            os.remove(self.lock_file)
+        except FileNotFoundError:
+            pass
+
+
 class ModelDownloader:
     def __init__(
         self,
@@ -51,13 +81,15 @@ class ModelDownloader:
     def _download_models(self):
         for file_name in self.file_names:
             path = os.path.join(self.download_path, file_name)
-            lock_path = f"{path}.lock"
+            lock = FileLock(path)
-            lock = FileLock(lock_path, cleanup_stale_on_init=True)
 
             if not os.path.exists(path):
-                with lock:
+                lock.acquire()
+                try:
                     if not os.path.exists(path):
                         self.download_func(path)
+                finally:
+                    lock.release()
 
             self.requestor.send_data(
                 UPDATE_MODEL_STATE,

frigate/util/file.py

@@ -1,276 +0,0 @@
-"""Path and file utilities."""
-
-import base64
-import fcntl
-import logging
-import os
-import time
-from pathlib import Path
-from typing import Optional
-
-import cv2
-from numpy import ndarray
-
-from frigate.const import CLIPS_DIR, THUMB_DIR
-from frigate.models import Event
-
-logger = logging.getLogger(__name__)
-
-
-def get_event_thumbnail_bytes(event: Event) -> bytes | None:
-    if event.thumbnail:
-        return base64.b64decode(event.thumbnail)
-    else:
-        try:
-            with open(
-                os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp"), "rb"
-            ) as f:
-                return f.read()
-        except Exception:
-            return None
-
-
-def get_event_snapshot(event: Event) -> ndarray:
-    media_name = f"{event.camera}-{event.id}"
-    return cv2.imread(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
-
-
-### Deletion
-
-
-def delete_event_images(event: Event) -> bool:
-    return delete_event_snapshot(event) and delete_event_thumbnail(event)
-
-
-def delete_event_snapshot(event: Event) -> bool:
-    media_name = f"{event.camera}-{event.id}"
-    media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
-
-    try:
-        media_path.unlink(missing_ok=True)
-        media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.webp")
-        media_path.unlink(missing_ok=True)
-        # also delete clean.png (legacy) for backward compatibility
-        media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.png")
-        media_path.unlink(missing_ok=True)
-        return True
-    except OSError:
-        return False
-
-
-def delete_event_thumbnail(event: Event) -> bool:
-    if event.thumbnail:
-        return True
-    else:
-        Path(os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp")).unlink(
-            missing_ok=True
-        )
-        return True
-
-
-### File Locking
-
-
-class FileLock:
-    """
-    A file-based lock for coordinating access to resources across processes.
-
-    Uses fcntl.flock() for proper POSIX file locking on Linux. Supports timeouts,
-    stale lock detection, and can be used as a context manager.
-
-    Example:
-        ```python
-        # Using as a context manager (recommended)
-        with FileLock("/path/to/resource.lock", timeout=60):
-            # Critical section
-            do_something()
-
-        # Manual acquisition and release
-        lock = FileLock("/path/to/resource.lock")
-        if lock.acquire(timeout=60):
-            try:
-                do_something()
-            finally:
-                lock.release()
-        ```
-
-    Attributes:
-        lock_path: Path to the lock file
-        timeout: Maximum time to wait for lock acquisition (seconds)
-        poll_interval: Time to wait between lock acquisition attempts (seconds)
-        stale_timeout: Time after which a lock is considered stale (seconds)
-    """
-
-    def __init__(
-        self,
-        lock_path: str | Path,
-        timeout: int = 300,
-        poll_interval: float = 1.0,
-        stale_timeout: int = 600,
-        cleanup_stale_on_init: bool = False,
-    ):
-        """
-        Initialize a FileLock.
-
-        Args:
-            lock_path: Path to the lock file
-            timeout: Maximum time to wait for lock acquisition in seconds (default: 300)
-            poll_interval: Time to wait between lock attempts in seconds (default: 1.0)
-            stale_timeout: Time after which a lock is considered stale in seconds (default: 600)
-            cleanup_stale_on_init: Whether to clean up stale locks on initialization (default: False)
-        """
-        self.lock_path = Path(lock_path)
-        self.timeout = timeout
-        self.poll_interval = poll_interval
-        self.stale_timeout = stale_timeout
-        self._fd: Optional[int] = None
-        self._acquired = False
-
-        if cleanup_stale_on_init:
-            self._cleanup_stale_lock()
-
-    def _cleanup_stale_lock(self) -> bool:
-        """
-        Clean up a stale lock file if it exists and is old.
-
-        Returns:
-            True if lock was cleaned up, False otherwise
-        """
-        try:
-            if self.lock_path.exists():
-                # Check if lock file is older than stale_timeout
-                lock_age = time.time() - self.lock_path.stat().st_mtime
-                if lock_age > self.stale_timeout:
-                    logger.warning(
-                        f"Removing stale lock file: {self.lock_path} (age: {lock_age:.1f}s)"
-                    )
-                    self.lock_path.unlink()
-                    return True
-        except Exception as e:
-            logger.error(f"Error cleaning up stale lock: {e}")
-
-        return False
-
-    def is_stale(self) -> bool:
-        """
-        Check if the lock file is stale (older than stale_timeout).
-
-        Returns:
-            True if lock is stale, False otherwise
-        """
-        try:
-            if self.lock_path.exists():
-                lock_age = time.time() - self.lock_path.stat().st_mtime
-                return lock_age > self.stale_timeout
-        except Exception:
-            pass
-
-        return False
-
-    def acquire(self, timeout: Optional[int] = None) -> bool:
-        """
-        Acquire the file lock using fcntl.flock().
-
-        Args:
-            timeout: Maximum time to wait for lock in seconds (uses instance timeout if None)
-
-        Returns:
-            True if lock acquired, False if timeout or error
-        """
-        if self._acquired:
-            logger.warning(f"Lock already acquired: {self.lock_path}")
-            return True
-
-        if timeout is None:
-            timeout = self.timeout
-
-        # Ensure parent directory exists
-        self.lock_path.parent.mkdir(parents=True, exist_ok=True)
-
-        # Clean up stale lock before attempting to acquire
-        self._cleanup_stale_lock()
-
-        try:
-            self._fd = os.open(self.lock_path, os.O_CREAT | os.O_RDWR)
-
-            start_time = time.time()
-            while time.time() - start_time < timeout:
-                try:
-                    fcntl.flock(self._fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
-                    self._acquired = True
-                    logger.debug(f"Acquired lock: {self.lock_path}")
-                    return True
-                except (OSError, IOError):
-                    # Lock is held by another process
-                    if time.time() - start_time >= timeout:
-                        logger.warning(f"Timeout waiting for lock: {self.lock_path}")
-                        os.close(self._fd)
-                        self._fd = None
-                        return False
-
-                    time.sleep(self.poll_interval)
-
-            # Timeout reached
-            if self._fd is not None:
-                os.close(self._fd)
-                self._fd = None
-            return False
-
-        except Exception as e:
-            logger.error(f"Error acquiring lock: {e}")
-            if self._fd is not None:
-                try:
-                    os.close(self._fd)
-                except Exception:
-                    pass
-                self._fd = None
-            return False
-
-    def release(self) -> None:
-        """
-        Release the file lock.
-
-        This closes the file descriptor and removes the lock file.
-        """
-        if not self._acquired:
-            return
-
-        try:
-            # Close file descriptor and release fcntl lock
-            if self._fd is not None:
-                try:
-                    fcntl.flock(self._fd, fcntl.LOCK_UN)
-                    os.close(self._fd)
-                except Exception as e:
-                    logger.warning(f"Error closing lock file descriptor: {e}")
-                finally:
-                    self._fd = None
-
-            # Remove lock file
-            if self.lock_path.exists():
-                self.lock_path.unlink()
-                logger.debug(f"Released lock: {self.lock_path}")
-
-        except FileNotFoundError:
-            # Lock file already removed, that's fine
-            pass
-        except Exception as e:
-            logger.error(f"Error releasing lock: {e}")
-        finally:
-            self._acquired = False
-
-    def __enter__(self):
-        """Context manager entry - acquire the lock."""
-        if not self.acquire():
-            raise TimeoutError(f"Failed to acquire lock: {self.lock_path}")
-        return self
-
-    def __exit__(self, exc_type, exc_val, exc_tb):
-        """Context manager exit - release the lock."""
-        self.release()
-        return False
-
-    def __del__(self):
-        """Destructor - ensure lock is released."""
-        if self._acquired:
-            self.release()

frigate/util/path.py

@@ -0,0 +1,62 @@
+"""Path utilities."""
+
+import base64
+import os
+from pathlib import Path
+
+import cv2
+from numpy import ndarray
+
+from frigate.const import CLIPS_DIR, THUMB_DIR
+from frigate.models import Event
+
+
+def get_event_thumbnail_bytes(event: Event) -> bytes | None:
+    if event.thumbnail:
+        return base64.b64decode(event.thumbnail)
+    else:
+        try:
+            with open(
+                os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp"), "rb"
+            ) as f:
+                return f.read()
+        except Exception:
+            return None
+
+
+def get_event_snapshot(event: Event) -> ndarray:
+    media_name = f"{event.camera}-{event.id}"
+    return cv2.imread(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
+
+
+### Deletion
+
+
+def delete_event_images(event: Event) -> bool:
+    return delete_event_snapshot(event) and delete_event_thumbnail(event)
+
+
+def delete_event_snapshot(event: Event) -> bool:
+    media_name = f"{event.camera}-{event.id}"
+    media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
+
+    try:
+        media_path.unlink(missing_ok=True)
+        media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.webp")
+        media_path.unlink(missing_ok=True)
+        # also delete clean.png (legacy) for backward compatibility
+        media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.png")
+        media_path.unlink(missing_ok=True)
+        return True
+    except OSError:
+        return False
+
+
+def delete_event_thumbnail(event: Event) -> bool:
+    if event.thumbnail:
+        return True
+    else:
+        Path(os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp")).unlink(
+            missing_ok=True
+        )
+        return True

frigate/util/rknn_converter.py

@@ -1,5 +1,6 @@
 """RKNN model conversion utility for Frigate."""
 
+import fcntl
 import logging
 import os
 import subprocess
@@ -8,8 +9,6 @@ import time
 from pathlib import Path
 from typing import Optional
 
-from frigate.util.file import FileLock
-
 logger = logging.getLogger(__name__)
 
 MODEL_TYPE_CONFIGS = {
@@ -246,6 +245,112 @@ def convert_onnx_to_rknn(
                 logger.warning(f"Failed to remove temporary ONNX file: {e}")
 
 
+def cleanup_stale_lock(lock_file_path: Path) -> bool:
+    """
+    Clean up a stale lock file if it exists and is old.
+
+    Args:
+        lock_file_path: Path to the lock file
+
+    Returns:
+        True if lock was cleaned up, False otherwise
+    """
+    try:
+        if lock_file_path.exists():
+            # Check if lock file is older than 10 minutes (stale)
+            lock_age = time.time() - lock_file_path.stat().st_mtime
+            if lock_age > 600:  # 10 minutes
+                logger.warning(
+                    f"Removing stale lock file: {lock_file_path} (age: {lock_age:.1f}s)"
+                )
+                lock_file_path.unlink()
+                return True
+    except Exception as e:
+        logger.error(f"Error cleaning up stale lock: {e}")
+
+    return False
+
+
+def acquire_conversion_lock(lock_file_path: Path, timeout: int = 300) -> bool:
+    """
+    Acquire a file-based lock for model conversion.
+
+    Args:
+        lock_file_path: Path to the lock file
+        timeout: Maximum time to wait for lock in seconds
+
+    Returns:
+        True if lock acquired, False if timeout or error
+    """
+    try:
+        lock_file_path.parent.mkdir(parents=True, exist_ok=True)
+        cleanup_stale_lock(lock_file_path)
+        lock_fd = os.open(lock_file_path, os.O_CREAT | os.O_RDWR)
+
+        # Try to acquire exclusive lock
+        start_time = time.time()
+        while time.time() - start_time < timeout:
+            try:
+                fcntl.flock(lock_fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
+                # Lock acquired successfully
+                logger.debug(f"Acquired conversion lock: {lock_file_path}")
+                return True
+            except (OSError, IOError):
+                # Lock is held by another process, wait and retry
+                if time.time() - start_time >= timeout:
+                    logger.warning(
+                        f"Timeout waiting for conversion lock: {lock_file_path}"
+                    )
+                    os.close(lock_fd)
+                    return False
+
+                logger.debug("Waiting for conversion lock to be released...")
+                time.sleep(1)
+
+        os.close(lock_fd)
+        return False
+
+    except Exception as e:
+        logger.error(f"Error acquiring conversion lock: {e}")
+        return False
+
+
+def release_conversion_lock(lock_file_path: Path) -> None:
+    """
+    Release the conversion lock.
+
+    Args:
+        lock_file_path: Path to the lock file
+    """
+    try:
+        if lock_file_path.exists():
+            lock_file_path.unlink()
+            logger.debug(f"Released conversion lock: {lock_file_path}")
+    except Exception as e:
+        logger.error(f"Error releasing conversion lock: {e}")
+
+
+def is_lock_stale(lock_file_path: Path, max_age: int = 600) -> bool:
+    """
+    Check if a lock file is stale (older than max_age seconds).
+
+    Args:
+        lock_file_path: Path to the lock file
+        max_age: Maximum age in seconds before considering lock stale
+
+    Returns:
+        True if lock is stale, False otherwise
+    """
+    try:
+        if lock_file_path.exists():
+            lock_age = time.time() - lock_file_path.stat().st_mtime
+            return lock_age > max_age
+    except Exception:
+        pass
+
+    return False
+
+
 def wait_for_conversion_completion(
     model_type: str, rknn_path: Path, lock_file_path: Path, timeout: int = 300
 ) -> bool:
@@ -253,7 +358,6 @@ def wait_for_conversion_completion(
     Wait for another process to complete the conversion.
 
     Args:
-        model_type: Type of model being converted
         rknn_path: Path to the expected RKNN model
         lock_file_path: Path to the lock file to monitor
         timeout: Maximum time to wait in seconds
@@ -262,8 +366,6 @@ def wait_for_conversion_completion(
         True if RKNN model appears, False if timeout
     """
     start_time = time.time()
-    lock = FileLock(lock_file_path, stale_timeout=600)
-
     while time.time() - start_time < timeout:
         # Check if RKNN model appeared
         if rknn_path.exists():
@@ -283,14 +385,11 @@ def wait_for_conversion_completion(
                 return False
 
         # Check if lock is stale
-        if lock.is_stale():
+        if is_lock_stale(lock_file_path):
             logger.warning("Lock file is stale, attempting to clean up and retry...")
-            lock._cleanup_stale_lock()
+            cleanup_stale_lock(lock_file_path)
             # Try to acquire lock again
-            retry_lock = FileLock(
+            if acquire_conversion_lock(lock_file_path, timeout=60):
-                lock_file_path, timeout=60, cleanup_stale_on_init=True
-            )
-            if retry_lock.acquire():
                 try:
                     # Check if RKNN file appeared while waiting
                     if rknn_path.exists():
@@ -316,7 +415,7 @@ def wait_for_conversion_completion(
                     return False
 
                 finally:
-                    retry_lock.release()
+                    release_conversion_lock(lock_file_path)
 
         logger.debug("Waiting for RKNN model to appear...")
         time.sleep(1)
@@ -353,9 +452,8 @@ def auto_convert_model(
             return str(rknn_path)
 
         lock_file_path = base_path.parent / f"{base_name}.conversion.lock"
-        lock = FileLock(lock_file_path, timeout=300, cleanup_stale_on_init=True)
 
-        if lock.acquire():
+        if acquire_conversion_lock(lock_file_path):
             try:
                 if rknn_path.exists():
                     logger.info(
@@ -378,7 +476,7 @@ def auto_convert_model(
                     return None
 
             finally:
-                lock.release()
+                release_conversion_lock(lock_file_path)
         else:
             logger.info(
                 f"Another process is converting {model_path}, waiting for completion..."

frigate/util/time.py

@@ -1,100 +0,0 @@
-"""Time utilities."""
-
-import datetime
-import logging
-from typing import Tuple
-from zoneinfo import ZoneInfoNotFoundError
-
-import pytz
-from tzlocal import get_localzone
-
-logger = logging.getLogger(__name__)
-
-
-def get_tz_modifiers(tz_name: str) -> Tuple[str, str, float]:
-    seconds_offset = (
-        datetime.datetime.now(pytz.timezone(tz_name)).utcoffset().total_seconds()
-    )
-    hours_offset = int(seconds_offset / 60 / 60)
-    minutes_offset = int(seconds_offset / 60 - hours_offset * 60)
-    hour_modifier = f"{hours_offset} hour"
-    minute_modifier = f"{minutes_offset} minute"
-    return hour_modifier, minute_modifier, seconds_offset
-
-
-def get_tomorrow_at_time(hour: int) -> datetime.datetime:
-    """Returns the datetime of the following day at 2am."""
-    try:
-        tomorrow = datetime.datetime.now(get_localzone()) + datetime.timedelta(days=1)
-    except ZoneInfoNotFoundError:
-        tomorrow = datetime.datetime.now(datetime.timezone.utc) + datetime.timedelta(
-            days=1
-        )
-        logger.warning(
-            "Using utc for maintenance due to missing or incorrect timezone set"
-        )
-
-    return tomorrow.replace(hour=hour, minute=0, second=0).astimezone(
-        datetime.timezone.utc
-    )
-
-
-def is_current_hour(timestamp: int) -> bool:
-    """Returns if timestamp is in the current UTC hour."""
-    start_of_next_hour = (
-        datetime.datetime.now(datetime.timezone.utc).replace(
-            minute=0, second=0, microsecond=0
-        )
-        + datetime.timedelta(hours=1)
-    ).timestamp()
-    return timestamp < start_of_next_hour
-
-
-def get_dst_transitions(
-    tz_name: str, start_time: float, end_time: float
-) -> list[tuple[float, float]]:
-    """
-    Find DST transition points and return time periods with consistent offsets.
-
-    Args:
-        tz_name: Timezone name (e.g., 'America/New_York')
-        start_time: Start timestamp (UTC)
-        end_time: End timestamp (UTC)
-
-    Returns:
-        List of (period_start, period_end, seconds_offset) tuples representing
-        continuous periods with the same UTC offset
-    """
-    try:
-        tz = pytz.timezone(tz_name)
-    except pytz.UnknownTimeZoneError:
-        # If timezone is invalid, return single period with no offset
-        return [(start_time, end_time, 0)]
-
-    periods = []
-    current = start_time
-
-    # Get initial offset
-    dt = datetime.datetime.utcfromtimestamp(current).replace(tzinfo=pytz.UTC)
-    local_dt = dt.astimezone(tz)
-    prev_offset = local_dt.utcoffset().total_seconds()
-    period_start = start_time
-
-    # Check each day for offset changes
-    while current <= end_time:
-        dt = datetime.datetime.utcfromtimestamp(current).replace(tzinfo=pytz.UTC)
-        local_dt = dt.astimezone(tz)
-        current_offset = local_dt.utcoffset().total_seconds()
-
-        if current_offset != prev_offset:
-            # Found a transition - close previous period
-            periods.append((period_start, current, prev_offset))
-            period_start = current
-            prev_offset = current_offset
-
-        current += 86400  # Check daily
-
-    # Add final period
-    periods.append((period_start, end_time, prev_offset))
-
-    return periods

frigate/video.py

@@ -34,7 +34,7 @@ from frigate.ptz.autotrack import ptz_moving_at_frame_time
 from frigate.track import ObjectTracker
 from frigate.track.norfair_tracker import NorfairTracker
 from frigate.track.tracked_object import TrackedObjectAttribute
-from frigate.util.builtin import EventsPerSecond
+from frigate.util.builtin import EventsPerSecond, get_tomorrow_at_time
 from frigate.util.image import (
     FrameManager,
     SharedMemoryFrameManager,
@@ -53,7 +53,6 @@ from frigate.util.object import (
     reduce_detections,
 )
 from frigate.util.process import FrigateProcess
-from frigate.util.time import get_tomorrow_at_time
 
 logger = logging.getLogger(__name__)
 

web/public/locales/en/views/classificationModel.json

@@ -1,8 +1,5 @@
 {
   "documentTitle": "Classification Models",
-  "details": {
-    "scoreInfo": "Score represents the average classification confidence across all detections of this object."
-  },
   "button": {
     "deleteClassificationAttempts": "Delete Classification Images",
     "renameCategory": "Rename Class",
@@ -10,27 +7,23 @@
     "deleteImages": "Delete Images",
     "trainModel": "Train Model",
     "addClassification": "Add Classification",
-    "deleteModels": "Delete Models",
+    "deleteModels": "Delete Models"
-    "editModel": "Edit Model"
   },
   "toast": {
     "success": {
       "deletedCategory": "Deleted Class",
       "deletedImage": "Deleted Images",
-      "deletedModel_one": "Successfully deleted {{count}} model",
+      "deletedModel": "Successfully deleted {{count}} model(s)",
-      "deletedModel_other": "Successfully deleted {{count}} models",
       "categorizedImage": "Successfully Classified Image",
       "trainedModel": "Successfully trained model.",
-      "trainingModel": "Successfully started model training.",
+      "trainingModel": "Successfully started model training."
-      "updatedModel": "Successfully updated model configuration"
     },
     "error": {
       "deleteImageFailed": "Failed to delete: {{errorMessage}}",
       "deleteCategoryFailed": "Failed to delete class: {{errorMessage}}",
       "deleteModelFailed": "Failed to delete model: {{errorMessage}}",
       "categorizeFailed": "Failed to categorize image: {{errorMessage}}",
-      "trainingFailed": "Failed to start model training: {{errorMessage}}",
+      "trainingFailed": "Failed to start model training: {{errorMessage}}"
-      "updateModelFailed": "Failed to update model: {{errorMessage}}"
     }
   },
   "deleteCategory": {
@@ -42,12 +35,6 @@
     "single": "Are you sure you want to delete {{name}}? This will permanently delete all associated data including images and training data. This action cannot be undone.",
     "desc": "Are you sure you want to delete {{count}} model(s)? This will permanently delete all associated data including images and training data. This action cannot be undone."
   },
-  "edit": {
-    "title": "Edit Classification Model",
-    "descriptionState": "Edit the classes for this state classification model. Changes will require retraining the model.",
-    "descriptionObject": "Edit the object type and classification type for this object classification model.",
-    "stateClassesInfo": "Note: Changing state classes requires retraining the model with the updated classes."
-  },
   "deleteDatasetImages": {
     "title": "Delete Dataset Images",
     "desc": "Are you sure you want to delete {{count}} images from {{dataset}}? This action cannot be undone and will require re-training the model."

web/public/locales/en/views/faceLibrary.json

@@ -6,8 +6,7 @@
   },
   "details": {
     "timestamp": "Timestamp",
-    "unknown": "Unknown",
+    "unknown": "Unknown"
-    "scoreInfo": "Score is a weighted average of all face scores, weighted by the size of the face in each image."
   },
   "documentTitle": "Face Library - Frigate",
   "uploadFaceImage": {

web/public/locales/en/views/settings.json

@@ -271,8 +271,6 @@
       "disconnectStream": "Disconnect",
       "estimatedBandwidth": "Estimated Bandwidth",
       "roles": "Roles",
-      "ffmpegModule": "Use stream compatibility mode",
-      "ffmpegModuleDescription": "If the stream does not load after several attempts, try enabling this. When enabled, Frigate will use the ffmpeg module with go2rtc. This may provide better compatibility with some camera streams.",
       "none": "None",
       "error": "Error",
       "streamValidated": "Stream {{number}} validated successfully",

web/src/components/card/ClassificationCard.tsx

@@ -7,12 +7,11 @@ import {
 } from "@/types/classification";
 import { Event } from "@/types/event";
 import { forwardRef, useMemo, useRef, useState } from "react";
-import { isDesktop, isMobile, isMobileOnly } from "react-device-detect";
+import { isDesktop, isMobile } from "react-device-detect";
 import { useTranslation } from "react-i18next";
 import TimeAgo from "../dynamic/TimeAgo";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
-import { Popover, PopoverContent, PopoverTrigger } from "../ui/popover";
+import { LuSearch } from "react-icons/lu";
-import { LuSearch, LuInfo } from "react-icons/lu";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { useNavigate } from "react-router-dom";
 import { HiSquare2Stack } from "react-icons/hi2";
@@ -182,7 +181,6 @@ type GroupedClassificationCardProps = {
   selectedItems: string[];
   i18nLibrary: string;
   objectType: string;
-  noClassificationLabel?: string;
   onClick: (data: ClassificationItemData | undefined) => void;
   children?: (data: ClassificationItemData) => React.ReactNode;
 };
@@ -192,7 +190,6 @@ export function GroupedClassificationCard({
   threshold,
   selectedItems,
   i18nLibrary,
-  noClassificationLabel = "details.none",
   onClick,
   children,
 }: GroupedClassificationCardProps) {
@@ -225,14 +222,10 @@ export function GroupedClassificationCard({
     const bestTyped: ClassificationItemData = best;
     return {
       ...bestTyped,
-      name: event
+      name: event ? (event.sub_label ?? t("details.unknown")) : bestTyped.name,
-        ? event.sub_label && event.sub_label !== "none"
-          ? event.sub_label
-          : t(noClassificationLabel)
-        : bestTyped.name,
       score: event?.data?.sub_label_score || bestTyped.score,
     };
-  }, [group, event, noClassificationLabel, t]);
+  }, [group, event, t]);
 
   const bestScoreStatus = useMemo(() => {
     if (!bestItem?.score || !threshold) {
@@ -264,8 +257,8 @@ export function GroupedClassificationCard({
 
   const Overlay = isDesktop ? Dialog : MobilePage;
   const Trigger = isDesktop ? DialogTrigger : MobilePageTrigger;
-  const Content = isDesktop ? DialogContent : MobilePageContent;
   const Header = isDesktop ? DialogHeader : MobilePageHeader;
+  const Content = isDesktop ? DialogContent : MobilePageContent;
   const ContentTitle = isDesktop ? DialogTitle : MobilePageTitle;
   const ContentDescription = isDesktop
     ? DialogDescription
@@ -298,9 +291,9 @@ export function GroupedClassificationCard({
         <Trigger asChild></Trigger>
         <Content
           className={cn(
-            "scrollbar-container",
+            "",
             isDesktop && "min-w-[50%] max-w-[65%]",
-            isMobile && "overflow-y-auto",
+            isMobile && "flex flex-col",
           )}
           onOpenAutoFocus={(e) => e.preventDefault()}
         >
@@ -308,45 +301,26 @@ export function GroupedClassificationCard({
             <Header
               className={cn(
                 "mx-2 flex flex-row items-center gap-4",
-                isMobileOnly && "top-0 mx-4",
+                isMobile && "flex-shrink-0",
               )}
             >
-              <div
+              <div>
-                className={cn(
+                <ContentTitle
-                  "",
+                  className={cn(
-                  isMobile && "flex flex-col items-center justify-center",
+                    "flex items-center gap-2 font-normal capitalize",
-                )}
+                    isMobile && "px-2",
-              >
+                  )}
-                <ContentTitle className="flex items-center gap-2 font-normal capitalize">
+                >
-                  {event?.sub_label && event.sub_label !== "none"
+                  {event?.sub_label ? event.sub_label : t("details.unknown")}
-                    ? event.sub_label
+                  {event?.sub_label && (
-                    : t(noClassificationLabel)}
+                    <div
-                  {event?.sub_label && event.sub_label !== "none" && (
+                      className={cn(
-                    <div className="flex items-center gap-1">
+                        "",
-                      <div
+                        bestScoreStatus == "match" && "text-success",
-                        className={cn(
+                        bestScoreStatus == "potential" && "text-orange-400",
-                          "",
+                        bestScoreStatus == "unknown" && "text-danger",
-                          bestScoreStatus == "match" && "text-success",
+                      )}
-                          bestScoreStatus == "potential" && "text-orange-400",
+                    >{`${Math.round((event.data.sub_label_score || 0) * 100)}%`}</div>
-                          bestScoreStatus == "unknown" && "text-danger",
-                        )}
-                      >{`${Math.round((event.data.sub_label_score || 0) * 100)}%`}</div>
-                      <Popover>
-                        <PopoverTrigger asChild>
-                          <button
-                            className="focus:outline-none"
-                            aria-label={t("details.scoreInfo", {
-                              ns: i18nLibrary,
-                            })}
-                          >
-                            <LuInfo className="size-3" />
-                          </button>
-                        </PopoverTrigger>
-                        <PopoverContent className="w-80 text-sm">
-                          {t("details.scoreInfo", { ns: i18nLibrary })}
-                        </PopoverContent>
-                      </Popover>
-                    </div>
                   )}
                 </ContentTitle>
                 <ContentDescription className={cn("", isMobile && "px-2")}>
@@ -390,7 +364,7 @@ export function GroupedClassificationCard({
               className={cn(
                 "grid w-full auto-rows-min grid-cols-2 gap-2 sm:grid-cols-3 md:grid-cols-4 lg:grid-cols-6 xl:grid-cols-6 2xl:grid-cols-8",
                 isDesktop && "p-2",
-                isMobile && "px-4 pb-4",
+                isMobile && "scrollbar-container flex-1 overflow-y-auto",
               )}
             >
               {group.map((data: ClassificationItemData) => (

web/src/components/card/ReviewCard.tsx

@@ -37,7 +37,6 @@ import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { Button, buttonVariants } from "../ui/button";
 import { Trans, useTranslation } from "react-i18next";
 import { cn } from "@/lib/utils";
-import { LuCircle } from "react-icons/lu";
 
 type ReviewCardProps = {
   event: ReviewSegment;
@@ -143,7 +142,7 @@ export default function ReviewCard({
         className={cn(
           "size-full rounded-lg",
           activeReviewItem?.id == event.id &&
-            "outline outline-[3px] -outline-offset-[2.8px] outline-selected duration-200",
+            "outline outline-[3px] outline-offset-1 outline-selected",
           imgLoaded ? "visible" : "invisible",
         )}
         src={`${baseUrl}${event.thumb_path.replace("/media/frigate/", "")}`}
@@ -166,14 +165,6 @@ export default function ReviewCard({
           <TooltipTrigger asChild>
             <div className="flex items-center justify-evenly gap-1">
               <>
-                <LuCircle
-                  className={cn(
-                    "size-2",
-                    event.severity == "alert"
-                      ? "fill-severity_alert text-severity_alert"
-                      : "fill-severity_detection text-severity_detection",
-                  )}
-                />
                 {event.data.objects.map((object) => {
                   return getIconForLabel(
                     object,

web/src/components/classification/ClassificationModelEditDialog.tsx

@@ -1,477 +0,0 @@
-import { Button } from "@/components/ui/button";
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogHeader,
-  DialogTitle,
-} from "@/components/ui/dialog";
-import {
-  Form,
-  FormControl,
-  FormField,
-  FormItem,
-  FormLabel,
-  FormMessage,
-} from "@/components/ui/form";
-import { Input } from "@/components/ui/input";
-import { Label } from "@/components/ui/label";
-import { RadioGroup, RadioGroupItem } from "@/components/ui/radio-group";
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from "@/components/ui/select";
-import {
-  CustomClassificationModelConfig,
-  FrigateConfig,
-} from "@/types/frigateConfig";
-import { getTranslatedLabel } from "@/utils/i18n";
-import { zodResolver } from "@hookform/resolvers/zod";
-import axios from "axios";
-import { useCallback, useEffect, useMemo, useState } from "react";
-import { useForm } from "react-hook-form";
-import { useTranslation } from "react-i18next";
-import { LuPlus, LuX } from "react-icons/lu";
-import { toast } from "sonner";
-import useSWR from "swr";
-import { z } from "zod";
-
-type ClassificationModelEditDialogProps = {
-  open: boolean;
-  model: CustomClassificationModelConfig;
-  onClose: () => void;
-  onSuccess: () => void;
-};
-
-type ObjectClassificationType = "sub_label" | "attribute";
-
-type ObjectFormData = {
-  objectLabel: string;
-  objectType: ObjectClassificationType;
-};
-
-type StateFormData = {
-  classes: string[];
-};
-
-export default function ClassificationModelEditDialog({
-  open,
-  model,
-  onClose,
-  onSuccess,
-}: ClassificationModelEditDialogProps) {
-  const { t } = useTranslation(["views/classificationModel"]);
-  const { data: config } = useSWR<FrigateConfig>("config");
-  const [isSaving, setIsSaving] = useState(false);
-
-  const isStateModel = model.state_config !== undefined;
-  const isObjectModel = model.object_config !== undefined;
-
-  const objectLabels = useMemo(() => {
-    if (!config) return [];
-
-    const labels = new Set<string>();
-
-    Object.values(config.cameras).forEach((cameraConfig) => {
-      if (!cameraConfig.enabled || !cameraConfig.enabled_in_config) {
-        return;
-      }
-
-      cameraConfig.objects.track.forEach((label) => {
-        if (!config.model.all_attributes.includes(label)) {
-          labels.add(label);
-        }
-      });
-    });
-
-    return [...labels].sort();
-  }, [config]);
-
-  // Define form schema based on model type
-  const formSchema = useMemo(() => {
-    if (isObjectModel) {
-      return z.object({
-        objectLabel: z
-          .string()
-          .min(1, t("wizard.step1.errors.objectLabelRequired")),
-        objectType: z.enum(["sub_label", "attribute"]),
-      });
-    } else {
-      // State model
-      return z.object({
-        classes: z
-          .array(z.string())
-          .min(1, t("wizard.step1.errors.classRequired"))
-          .refine(
-            (classes) => {
-              const nonEmpty = classes.filter((c) => c.trim().length > 0);
-              return nonEmpty.length >= 2;
-            },
-            { message: t("wizard.step1.errors.stateRequiresTwoClasses") },
-          )
-          .refine(
-            (classes) => {
-              const nonEmpty = classes.filter((c) => c.trim().length > 0);
-              const unique = new Set(nonEmpty.map((c) => c.toLowerCase()));
-              return unique.size === nonEmpty.length;
-            },
-            { message: t("wizard.step1.errors.classesUnique") },
-          ),
-      });
-    }
-  }, [isObjectModel, t]);
-
-  const form = useForm<ObjectFormData | StateFormData>({
-    resolver: zodResolver(formSchema),
-    defaultValues: isObjectModel
-      ? ({
-          objectLabel: model.object_config?.objects?.[0] || "",
-          objectType:
-            (model.object_config
-              ?.classification_type as ObjectClassificationType) || "sub_label",
-        } as ObjectFormData)
-      : ({
-          classes: [""], // Will be populated from dataset
-        } as StateFormData),
-    mode: "onChange",
-  });
-
-  // Fetch dataset to get current classes for state models
-  const { data: dataset } = useSWR<{
-    [id: string]: string[];
-  }>(isStateModel ? `classification/${model.name}/dataset` : null, {
-    revalidateOnFocus: false,
-  });
-
-  // Update form with classes from dataset when loaded
-  useEffect(() => {
-    if (isStateModel && dataset) {
-      const classes = Object.keys(dataset).filter((key) => key !== "none");
-      if (classes.length > 0) {
-        (form as ReturnType<typeof useForm<StateFormData>>).setValue(
-          "classes",
-          classes,
-        );
-      }
-    }
-  }, [dataset, isStateModel, form]);
-
-  const watchedClasses = isStateModel
-    ? (form as ReturnType<typeof useForm<StateFormData>>).watch("classes")
-    : undefined;
-  const watchedObjectType = isObjectModel
-    ? (form as ReturnType<typeof useForm<ObjectFormData>>).watch("objectType")
-    : undefined;
-
-  const handleAddClass = useCallback(() => {
-    const currentClasses = (
-      form as ReturnType<typeof useForm<StateFormData>>
-    ).getValues("classes");
-    (form as ReturnType<typeof useForm<StateFormData>>).setValue(
-      "classes",
-      [...currentClasses, ""],
-      {
-        shouldValidate: true,
-      },
-    );
-  }, [form]);
-
-  const handleRemoveClass = useCallback(
-    (index: number) => {
-      const currentClasses = (
-        form as ReturnType<typeof useForm<StateFormData>>
-      ).getValues("classes");
-      const newClasses = currentClasses.filter((_, i) => i !== index);
-
-      // Ensure at least one field remains (even if empty)
-      if (newClasses.length === 0) {
-        (form as ReturnType<typeof useForm<StateFormData>>).setValue(
-          "classes",
-          [""],
-          { shouldValidate: true },
-        );
-      } else {
-        (form as ReturnType<typeof useForm<StateFormData>>).setValue(
-          "classes",
-          newClasses,
-          { shouldValidate: true },
-        );
-      }
-    },
-    [form],
-  );
-
-  const onSubmit = useCallback(
-    async (data: ObjectFormData | StateFormData) => {
-      setIsSaving(true);
-      try {
-        if (isObjectModel) {
-          const objectData = data as ObjectFormData;
-
-          // Update the config
-          await axios.put("/config/set", {
-            requires_restart: 0,
-            update_topic: `config/classification/custom/${model.name}`,
-            config_data: {
-              classification: {
-                custom: {
-                  [model.name]: {
-                    enabled: model.enabled,
-                    name: model.name,
-                    threshold: model.threshold,
-                    object_config: {
-                      objects: [objectData.objectLabel],
-                      classification_type: objectData.objectType,
-                    },
-                  },
-                },
-              },
-            },
-          });
-
-          toast.success(t("toast.success.updatedModel"), {
-            position: "top-center",
-          });
-        } else {
-          // State model - update classes
-          // Note: For state models, updating classes requires renaming categories
-          // which is handled through the dataset API, not the config API
-          // We'll need to implement this by calling the rename endpoint for each class
-          // For now, we just show a message that this requires retraining
-
-          toast.info(t("edit.stateClassesInfo"), {
-            position: "top-center",
-          });
-        }
-
-        onSuccess();
-        onClose();
-      } catch (err) {
-        const error = err as {
-          response?: { data?: { message?: string; detail?: string } };
-        };
-        const errorMessage =
-          error.response?.data?.message ||
-          error.response?.data?.detail ||
-          "Unknown error";
-        toast.error(t("toast.error.updateModelFailed", { errorMessage }), {
-          position: "top-center",
-        });
-      } finally {
-        setIsSaving(false);
-      }
-    },
-    [isObjectModel, model, t, onSuccess, onClose],
-  );
-
-  const handleCancel = useCallback(() => {
-    form.reset();
-    onClose();
-  }, [form, onClose]);
-
-  return (
-    <Dialog open={open} onOpenChange={(open) => !open && handleCancel()}>
-      <DialogContent>
-        <DialogHeader>
-          <DialogTitle>{t("edit.title")}</DialogTitle>
-          <DialogDescription>
-            {isStateModel
-              ? t("edit.descriptionState")
-              : t("edit.descriptionObject")}
-          </DialogDescription>
-        </DialogHeader>
-
-        <div className="space-y-6">
-          <Form {...form}>
-            <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
-              {isObjectModel && (
-                <>
-                  <FormField
-                    control={form.control}
-                    name="objectLabel"
-                    render={({ field }) => (
-                      <FormItem>
-                        <FormLabel className="text-primary-variant">
-                          {t("wizard.step1.objectLabel")}
-                        </FormLabel>
-                        <Select
-                          onValueChange={field.onChange}
-                          defaultValue={field.value}
-                        >
-                          <FormControl>
-                            <SelectTrigger className="h-8">
-                              <SelectValue
-                                placeholder={t(
-                                  "wizard.step1.objectLabelPlaceholder",
-                                )}
-                              />
-                            </SelectTrigger>
-                          </FormControl>
-                          <SelectContent>
-                            {objectLabels.map((label) => (
-                              <SelectItem
-                                key={label}
-                                value={label}
-                                className="cursor-pointer hover:bg-secondary-highlight"
-                              >
-                                {getTranslatedLabel(label)}
-                              </SelectItem>
-                            ))}
-                          </SelectContent>
-                        </Select>
-                        <FormMessage />
-                      </FormItem>
-                    )}
-                  />
-
-                  <FormField
-                    control={form.control}
-                    name="objectType"
-                    render={({ field }) => (
-                      <FormItem>
-                        <FormLabel className="text-primary-variant">
-                          {t("wizard.step1.classificationType")}
-                        </FormLabel>
-                        <FormControl>
-                          <RadioGroup
-                            onValueChange={field.onChange}
-                            defaultValue={field.value}
-                            className="flex flex-col gap-4 pt-2"
-                          >
-                            <div className="flex items-center gap-2">
-                              <RadioGroupItem
-                                className={
-                                  watchedObjectType === "sub_label"
-                                    ? "bg-selected from-selected/50 to-selected/90 text-selected"
-                                    : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
-                                }
-                                id="sub_label"
-                                value="sub_label"
-                              />
-                              <Label
-                                className="cursor-pointer"
-                                htmlFor="sub_label"
-                              >
-                                {t("wizard.step1.classificationSubLabel")}
-                              </Label>
-                            </div>
-                            <div className="flex items-center gap-2">
-                              <RadioGroupItem
-                                className={
-                                  watchedObjectType === "attribute"
-                                    ? "bg-selected from-selected/50 to-selected/90 text-selected"
-                                    : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
-                                }
-                                id="attribute"
-                                value="attribute"
-                              />
-                              <Label
-                                className="cursor-pointer"
-                                htmlFor="attribute"
-                              >
-                                {t("wizard.step1.classificationAttribute")}
-                              </Label>
-                            </div>
-                          </RadioGroup>
-                        </FormControl>
-                        <FormMessage />
-                      </FormItem>
-                    )}
-                  />
-                </>
-              )}
-
-              {isStateModel && (
-                <div className="space-y-2">
-                  <div className="flex items-center justify-between">
-                    <FormLabel className="text-primary-variant">
-                      {t("wizard.step1.states")}
-                    </FormLabel>
-                    <Button
-                      type="button"
-                      variant="secondary"
-                      className="size-6 rounded-md bg-secondary-foreground p-1 text-background"
-                      onClick={handleAddClass}
-                    >
-                      <LuPlus />
-                    </Button>
-                  </div>
-                  <div className="space-y-2">
-                    {watchedClasses?.map((_: string, index: number) => (
-                      <FormField
-                        key={index}
-                        control={
-                          (form as ReturnType<typeof useForm<StateFormData>>)
-                            .control
-                        }
-                        name={`classes.${index}` as const}
-                        render={({ field }) => (
-                          <FormItem>
-                            <FormControl>
-                              <div className="flex items-center gap-2">
-                                <Input
-                                  className="text-md h-8"
-                                  placeholder={t(
-                                    "wizard.step1.classPlaceholder",
-                                  )}
-                                  {...field}
-                                />
-                                {watchedClasses &&
-                                  watchedClasses.length > 1 && (
-                                    <Button
-                                      type="button"
-                                      variant="ghost"
-                                      size="sm"
-                                      className="h-8 w-8 p-0"
-                                      onClick={() => handleRemoveClass(index)}
-                                    >
-                                      <LuX className="size-4" />
-                                    </Button>
-                                  )}
-                              </div>
-                            </FormControl>
-                          </FormItem>
-                        )}
-                      />
-                    ))}
-                  </div>
-                  {isStateModel &&
-                    "classes" in form.formState.errors &&
-                    form.formState.errors.classes && (
-                      <p className="text-sm font-medium text-destructive">
-                        {form.formState.errors.classes.message}
-                      </p>
-                    )}
-                </div>
-              )}
-
-              <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
-                <Button
-                  type="button"
-                  onClick={handleCancel}
-                  className="sm:flex-1"
-                  disabled={isSaving}
-                >
-                  {t("button.cancel", { ns: "common" })}
-                </Button>
-                <Button
-                  type="submit"
-                  variant="select"
-                  className="flex items-center justify-center gap-2 sm:flex-1"
-                  disabled={!form.formState.isValid || isSaving}
-                >
-                  {isSaving
-                    ? t("button.saving", { ns: "common" })
-                    : t("button.save", { ns: "common" })}
-                </Button>
-              </div>
-            </form>
-          </Form>
-        </div>
-      </DialogContent>
-    </Dialog>
-  );
-}

web/src/components/classification/wizard/Step3ChooseExamples.tsx

@@ -317,21 +317,6 @@ export default function Step3ChooseExamples({
     return unclassifiedImages.length === 0;
   }, [unclassifiedImages]);
 
-  const handleBack = useCallback(() => {
-    if (currentClassIndex > 0) {
-      const previousClass = allClasses[currentClassIndex - 1];
-      setCurrentClassIndex((prev) => prev - 1);
-
-      // Restore selections for the previous class
-      const previousSelections = Object.entries(imageClassifications)
-        .filter(([_, className]) => className === previousClass)
-        .map(([imageName, _]) => imageName);
-      setSelectedImages(new Set(previousSelections));
-    } else {
-      onBack();
-    }
-  }, [currentClassIndex, allClasses, imageClassifications, onBack]);
-
   return (
     <div className="flex flex-col gap-6">
       {isTraining ? (
@@ -435,7 +420,7 @@ export default function Step3ChooseExamples({
 
       {!isTraining && (
         <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
-          <Button type="button" onClick={handleBack} className="sm:flex-1">
+          <Button type="button" onClick={onBack} className="sm:flex-1">
             {t("button.back", { ns: "common" })}
           </Button>
           <Button

web/src/components/filter/SearchFilterGroup.tsx

@@ -348,26 +348,6 @@ export function GeneralFilterContent({
   onClose,
 }: GeneralFilterContentProps) {
   const { t } = useTranslation(["components/filter"]);
-  const { data: config } = useSWR<FrigateConfig>("config", {
-    revalidateOnFocus: false,
-  });
-
-  const allAudioListenLabels = useMemo<string[]>(() => {
-    if (!config) {
-      return [];
-    }
-
-    const labels = new Set<string>();
-    Object.values(config.cameras).forEach((camera) => {
-      if (camera?.audio?.enabled) {
-        camera.audio.listen.forEach((label) => {
-          labels.add(label);
-        });
-      }
-    });
-    return [...labels].sort();
-  }, [config]);
-
   return (
     <>
       <div className="overflow-x-hidden">
@@ -393,10 +373,7 @@ export function GeneralFilterContent({
           {allLabels.map((item) => (
             <FilterSwitch
               key={item}
-              label={getTranslatedLabel(
+              label={getTranslatedLabel(item)}
-                item,
-                allAudioListenLabels.includes(item) ? "audio" : "object",
-              )}
               isChecked={currentLabels?.includes(item) ?? false}
               onCheckedChange={(isChecked) => {
                 if (isChecked) {

web/src/components/input/NameAndIdFields.tsx

@@ -8,7 +8,7 @@ import {
   FormMessage,
 } from "@/components/ui/form";
 import { Input } from "@/components/ui/input";
-import { useState, useEffect, useRef } from "react";
+import { useState, useEffect } from "react";
 import { useFormContext } from "react-hook-form";
 import { generateFixedHash, isValidId } from "@/utils/stringUtil";
 import { useTranslation } from "react-i18next";
@@ -25,7 +25,6 @@ type NameAndIdFieldsProps<T extends FieldValues = FieldValues> = {
   processId?: (name: string) => string;
   placeholderName?: string;
   placeholderId?: string;
-  idVisible?: boolean;
 };
 
 export default function NameAndIdFields<T extends FieldValues = FieldValues>({
@@ -40,12 +39,10 @@ export default function NameAndIdFields<T extends FieldValues = FieldValues>({
   processId,
   placeholderName,
   placeholderId,
-  idVisible,
 }: NameAndIdFieldsProps<T>) {
   const { t } = useTranslation(["common"]);
-  const { watch, setValue, trigger, formState } = useFormContext<T>();
+  const { watch, setValue, trigger } = useFormContext<T>();
-  const [isIdVisible, setIsIdVisible] = useState(idVisible ?? false);
+  const [isIdVisible, setIsIdVisible] = useState(false);
-  const hasUserTypedRef = useRef(false);
 
   const defaultProcessId = (name: string) => {
     const normalized = name.replace(/\s+/g, "_").toLowerCase();
@@ -61,7 +58,6 @@ export default function NameAndIdFields<T extends FieldValues = FieldValues>({
   useEffect(() => {
     const subscription = watch((value, { name }) => {
       if (name === nameField) {
-        hasUserTypedRef.current = true;
         const processedId = effectiveProcessId(value[nameField] || "");
         setValue(idField, processedId as PathValue<T, Path<T>>);
         trigger(idField);
@@ -70,14 +66,6 @@ export default function NameAndIdFields<T extends FieldValues = FieldValues>({
     return () => subscription.unsubscribe();
   }, [watch, setValue, trigger, nameField, idField, effectiveProcessId]);
 
-  // Auto-expand if there's an error on the ID field after user has typed
-  useEffect(() => {
-    const idError = formState.errors[idField];
-    if (idError && hasUserTypedRef.current && !isIdVisible) {
-      setIsIdVisible(true);
-    }
-  }, [formState.errors, idField, isIdVisible]);
-
   return (
     <>
       <FormField

web/src/components/overlay/CreateTriggerDialog.tsx

@@ -258,7 +258,6 @@ export default function CreateTriggerDialog({
               nameLabel={t("triggers.dialog.form.name.title")}
               nameDescription={t("triggers.dialog.form.name.description")}
               placeholderName={t("triggers.dialog.form.name.placeholder")}
-              idVisible={!!trigger}
             />
 
             <FormField

web/src/components/overlay/ObjectTrackOverlay.tsx

@@ -59,47 +59,6 @@ export default function ObjectTrackOverlay({
 
   const effectiveCurrentTime = currentTime - annotationOffset / 1000;
 
-  const {
-    pathStroke,
-    pointRadius,
-    pointStroke,
-    zoneStroke,
-    boxStroke,
-    highlightRadius,
-  } = useMemo(() => {
-    const BASE_WIDTH = 1280;
-    const BASE_HEIGHT = 720;
-    const BASE_PATH_STROKE = 5;
-    const BASE_POINT_RADIUS = 7;
-    const BASE_POINT_STROKE = 3;
-    const BASE_ZONE_STROKE = 5;
-    const BASE_BOX_STROKE = 5;
-    const BASE_HIGHLIGHT_RADIUS = 5;
-
-    const scale = Math.sqrt(
-      (videoWidth * videoHeight) / (BASE_WIDTH * BASE_HEIGHT),
-    );
-
-    const pathStroke = Math.max(1, Math.round(BASE_PATH_STROKE * scale));
-    const pointRadius = Math.max(2, Math.round(BASE_POINT_RADIUS * scale));
-    const pointStroke = Math.max(1, Math.round(BASE_POINT_STROKE * scale));
-    const zoneStroke = Math.max(1, Math.round(BASE_ZONE_STROKE * scale));
-    const boxStroke = Math.max(1, Math.round(BASE_BOX_STROKE * scale));
-    const highlightRadius = Math.max(
-      2,
-      Math.round(BASE_HIGHLIGHT_RADIUS * scale),
-    );
-
-    return {
-      pathStroke,
-      pointRadius,
-      pointStroke,
-      zoneStroke,
-      boxStroke,
-      highlightRadius,
-    };
-  }, [videoWidth, videoHeight]);
-
   // Fetch all event data in a single request (CSV ids)
   const { data: eventsData } = useSWR<Event[]>(
     selectedObjectIds.length > 0
@@ -255,21 +214,16 @@ export default function ObjectTrackOverlay({
                 b.timestamp - a.timestamp,
             )[0]?.data?.zones || [];
 
-        // bounding box - only show if there's a timeline event at/near the current time with a box
+        // bounding box (with tolerance for browsers with seek precision by-design issues)
-        // Search all timeline events (not just those before current time) to find one matching the seek position
+        const boxCandidates = timelineData?.filter(
-        const nearbyTimelineEvent = timelineData
+          (event: TrackingDetailsSequence) =>
-          ?.filter((event: TrackingDetailsSequence) => event.data.box)
+            event.timestamp <= effectiveCurrentTime + TOLERANCE &&
-          .sort(
+            event.data.box,
-            (a: TrackingDetailsSequence, b: TrackingDetailsSequence) =>
+        );
-              Math.abs(a.timestamp - effectiveCurrentTime) -
+        const currentBox = boxCandidates?.sort(
-              Math.abs(b.timestamp - effectiveCurrentTime),
+          (a: TrackingDetailsSequence, b: TrackingDetailsSequence) =>
-          )
+            b.timestamp - a.timestamp,
-          .find(
+        )[0]?.data?.box;
-            (event: TrackingDetailsSequence) =>
-              Math.abs(event.timestamp - effectiveCurrentTime) <= TOLERANCE,
-          );
-
-        const currentBox = nearbyTimelineEvent?.data?.box;
 
         return {
           objectId,
@@ -395,7 +349,7 @@ export default function ObjectTrackOverlay({
           points={zone.points}
           fill={zone.fill}
           stroke={zone.stroke}
-          strokeWidth={zoneStroke}
+          strokeWidth="5"
           opacity="0.7"
         />
       ))}
@@ -415,7 +369,7 @@ export default function ObjectTrackOverlay({
                 d={generateStraightPath(absolutePositions)}
                 fill="none"
                 stroke={objData.color}
-                strokeWidth={pathStroke}
+                strokeWidth="5"
                 strokeLinecap="round"
                 strokeLinejoin="round"
               />
@@ -427,13 +381,13 @@ export default function ObjectTrackOverlay({
                   <circle
                     cx={pos.x}
                     cy={pos.y}
-                    r={pointRadius}
+                    r="7"
                     fill={getPointColor(
                       objData.color,
                       pos.lifecycle_item?.class_type,
                     )}
                     stroke="white"
-                    strokeWidth={pointStroke}
+                    strokeWidth="3"
                     style={{ cursor: onSeekToTime ? "pointer" : "default" }}
                     onClick={() => handlePointClick(pos.timestamp)}
                   />
@@ -462,7 +416,7 @@ export default function ObjectTrackOverlay({
                   height={objData.currentBox[3] * videoHeight}
                   fill="none"
                   stroke={objData.color}
-                  strokeWidth={boxStroke}
+                  strokeWidth="5"
                   opacity="0.9"
                 />
                 <circle
@@ -474,10 +428,10 @@ export default function ObjectTrackOverlay({
                     (objData.currentBox[1] + objData.currentBox[3]) *
                     videoHeight
                   }
-                  r={highlightRadius}
+                  r="5"
                   fill="rgb(255, 255, 0)" // yellow highlight
                   stroke={objData.color}
-                  strokeWidth={boxStroke}
+                  strokeWidth="5"
                   opacity="1"
                 />
               </g>

web/src/components/overlay/detail/TrackingDetails.tsx

@@ -8,7 +8,7 @@ import Heading from "@/components/ui/heading";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
 import { getIconForLabel } from "@/utils/iconUtil";
-import { LuCircle, LuFolderX, LuSettings } from "react-icons/lu";
+import { LuCircle, LuSettings } from "react-icons/lu";
 import { cn } from "@/lib/utils";
 import {
   Tooltip,
@@ -32,18 +32,14 @@ import { Link, useNavigate } from "react-router-dom";
 import { getLifecycleItemDescription } from "@/utils/lifecycleUtil";
 import { useTranslation } from "react-i18next";
 import { getTranslatedLabel } from "@/utils/i18n";
-import { resolveZoneName } from "@/hooks/use-zone-friendly-name";
 import { Badge } from "@/components/ui/badge";
 import { HiDotsHorizontal } from "react-icons/hi";
 import axios from "axios";
 import { toast } from "sonner";
 import { useDetailStream } from "@/context/detail-stream-context";
-import { isDesktop, isIOS, isMobileOnly, isSafari } from "react-device-detect";
+import { isDesktop, isIOS } from "react-device-detect";
 import Chip from "@/components/indicators/Chip";
 import { FaDownload, FaHistory } from "react-icons/fa";
-import { useApiHost } from "@/api";
-import ImageLoadingIndicator from "@/components/indicators/ImageLoadingIndicator";
-import ObjectTrackOverlay from "../ObjectTrackOverlay";
 
 type TrackingDetailsProps = {
   className?: string;
@@ -60,19 +56,9 @@ export function TrackingDetails({
   const videoRef = useRef<HTMLVideoElement | null>(null);
   const { t } = useTranslation(["views/explore"]);
   const navigate = useNavigate();
-  const apiHost = useApiHost();
-  const imgRef = useRef<HTMLImageElement | null>(null);
-  const [imgLoaded, setImgLoaded] = useState(false);
-  const [displaySource, _setDisplaySource] = useState<"video" | "image">(
-    "video",
-  );
   const { setSelectedObjectIds, annotationOffset, setAnnotationOffset } =
     useDetailStream();
 
-  // manualOverride holds a record-stream timestamp explicitly chosen by the
-  // user (eg, clicking a lifecycle row). When null we display `currentTime`.
-  const [manualOverride, setManualOverride] = useState<number | null>(null);
-
   // event.start_time is detect time, convert to record, then subtract padding
   const [currentTime, setCurrentTime] = useState(
     (event.start_time ?? 0) + annotationOffset / 1000 - REVIEW_PADDING,
@@ -87,19 +73,9 @@ export function TrackingDetails({
 
   const { data: config } = useSWR<FrigateConfig>("config");
 
-  eventSequence?.map((event) => {
-    event.data.zones_friendly_names = event.data?.zones?.map((zone) => {
-      return resolveZoneName(config, zone);
-    });
-  });
-  
-  // Use manualOverride (set when seeking in image mode) if present so
-  // lifecycle rows and overlays follow image-mode seeks. Otherwise fall
-  // back to currentTime used for video mode.
   const effectiveTime = useMemo(() => {
-    const displayedRecordTime = manualOverride ?? currentTime;
+    return currentTime - annotationOffset / 1000;
-    return displayedRecordTime - annotationOffset / 1000;
+  }, [currentTime, annotationOffset]);
-  }, [manualOverride, currentTime, annotationOffset]);
 
   const containerRef = useRef<HTMLDivElement | null>(null);
   const [_selectedZone, setSelectedZone] = useState("");
@@ -142,30 +118,20 @@ export function TrackingDetails({
 
   const handleLifecycleClick = useCallback(
     (item: TrackingDetailsSequence) => {
-      if (!videoRef.current && !imgRef.current) return;
+      if (!videoRef.current) return;
 
       // Convert lifecycle timestamp (detect stream) to record stream time
       const targetTimeRecord = item.timestamp + annotationOffset / 1000;
 
-      if (displaySource === "image") {
+      // Convert to video-relative time for seeking
-        // For image mode: set a manual override timestamp and update
-        // currentTime so overlays render correctly.
-        setManualOverride(targetTimeRecord);
-        setCurrentTime(targetTimeRecord);
-        return;
-      }
-
-      // For video mode: convert to video-relative time and seek player
       const eventStartRecord =
         (event.start_time ?? 0) + annotationOffset / 1000;
       const videoStartTime = eventStartRecord - REVIEW_PADDING;
       const relativeTime = targetTimeRecord - videoStartTime;
 
-      if (videoRef.current) {
+      videoRef.current.currentTime = relativeTime;
-        videoRef.current.currentTime = relativeTime;
-      }
     },
-    [event.start_time, annotationOffset, displaySource],
+    [event.start_time, annotationOffset],
   );
 
   const formattedStart = config
@@ -206,20 +172,11 @@ export function TrackingDetails({
   }, [eventSequence]);
 
   useEffect(() => {
-    if (seekToTimestamp === null) return;
+    if (seekToTimestamp === null || !videoRef.current) return;
-
-    if (displaySource === "image") {
-      // For image mode, set the manual override so the snapshot updates to
-      // the exact record timestamp.
-      setManualOverride(seekToTimestamp);
-      setSeekToTimestamp(null);
-      return;
-    }
 
     // seekToTimestamp is a record stream timestamp
     // event.start_time is detect stream time, convert to record
     // The video clip starts at (eventStartRecord - REVIEW_PADDING)
-    if (!videoRef.current) return;
     const eventStartRecord = event.start_time + annotationOffset / 1000;
     const videoStartTime = eventStartRecord - REVIEW_PADDING;
     const relativeTime = seekToTimestamp - videoStartTime;
@@ -227,14 +184,7 @@ export function TrackingDetails({
       videoRef.current.currentTime = relativeTime;
     }
     setSeekToTimestamp(null);
-  }, [
+  }, [seekToTimestamp, event.start_time, annotationOffset]);
-    seekToTimestamp,
-    event.start_time,
-    annotationOffset,
-    apiHost,
-    event.camera,
-    displaySource,
-  ]);
 
   const isWithinEventRange =
     effectiveTime !== undefined &&
@@ -337,27 +287,6 @@ export function TrackingDetails({
     [event.start_time, annotationOffset],
   );
 
-  const [src, setSrc] = useState(
-    `${apiHost}api/${event.camera}/recordings/${currentTime + REVIEW_PADDING}/snapshot.jpg?height=500`,
-  );
-  const [hasError, setHasError] = useState(false);
-
-  // Derive the record timestamp to display: manualOverride if present,
-  // otherwise use currentTime.
-  const displayedRecordTime = manualOverride ?? currentTime;
-
-  useEffect(() => {
-    if (displayedRecordTime) {
-      const newSrc = `${apiHost}api/${event.camera}/recordings/${displayedRecordTime}/snapshot.jpg?height=500`;
-      setSrc(newSrc);
-    }
-    setImgLoaded(false);
-    setHasError(false);
-
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [displayedRecordTime]);
-
   if (!config) {
     return <ActivityIndicator />;
   }
@@ -375,10 +304,9 @@ export function TrackingDetails({
 
       <div
         className={cn(
-          "flex items-center justify-center",
+          "flex w-full items-center justify-center",
           isDesktop && "overflow-hidden",
           cameraAspect === "tall" ? "max-h-[50dvh] lg:max-h-[70dvh]" : "w-full",
-          cameraAspect === "tall" && isMobileOnly && "w-full",
           cameraAspect !== "tall" && isDesktop && "flex-[3]",
         )}
         style={{ aspectRatio: aspectRatio }}
@@ -390,75 +318,21 @@ export function TrackingDetails({
             cameraAspect === "tall" ? "h-full" : "w-full",
           )}
         >
-          {displaySource == "video" && (
+          <HlsVideoPlayer
-            <HlsVideoPlayer
+            videoRef={videoRef}
-              videoRef={videoRef}
+            containerRef={containerRef}
-              containerRef={containerRef}
+            visible={true}
-              visible={true}
+            currentSource={videoSource}
-              currentSource={videoSource}
+            hotKeys={false}
-              hotKeys={false}
+            supportsFullscreen={false}
-              supportsFullscreen={false}
+            fullscreen={false}
-              fullscreen={false}
+            frigateControls={true}
-              frigateControls={true}
+            onTimeUpdate={handleTimeUpdate}
-              onTimeUpdate={handleTimeUpdate}
+            onSeekToTime={handleSeekToTime}
-              onSeekToTime={handleSeekToTime}
+            isDetailMode={true}
-              isDetailMode={true}
+            camera={event.camera}
-              camera={event.camera}
+            currentTimeOverride={currentTime}
-              currentTimeOverride={currentTime}
+          />
-            />
-          )}
-          {displaySource == "image" && (
-            <>
-              <ImageLoadingIndicator
-                className="absolute inset-0"
-                imgLoaded={imgLoaded}
-              />
-              {hasError && (
-                <div className="relative aspect-video">
-                  <div className="flex flex-col items-center justify-center p-20 text-center">
-                    <LuFolderX className="size-16" />
-                    {t("objectLifecycle.noImageFound")}
-                  </div>
-                </div>
-              )}
-              <div
-                className={cn("relative", imgLoaded ? "visible" : "invisible")}
-              >
-                <div className="absolute z-50 size-full">
-                  <ObjectTrackOverlay
-                    key={`overlay-${displayedRecordTime}`}
-                    camera={event.camera}
-                    showBoundingBoxes={true}
-                    currentTime={displayedRecordTime}
-                    videoWidth={imgRef?.current?.naturalWidth ?? 0}
-                    videoHeight={imgRef?.current?.naturalHeight ?? 0}
-                    className="absolute inset-0 z-10"
-                    onSeekToTime={handleSeekToTime}
-                  />
-                </div>
-                <img
-                  key={event.id}
-                  ref={imgRef}
-                  className={cn(
-                    "max-h-[50dvh] max-w-full select-none rounded-lg object-contain",
-                  )}
-                  loading={isSafari ? "eager" : "lazy"}
-                  style={
-                    isIOS
-                      ? {
-                          WebkitUserSelect: "none",
-                          WebkitTouchCallout: "none",
-                        }
-                      : undefined
-                  }
-                  draggable={false}
-                  src={src}
-                  onLoad={() => setImgLoaded(true)}
-                  onError={() => setHasError(true)}
-                />
-              </div>
-            </>
-          )}
           <div
             className={cn(
               "absolute top-2 z-[5] flex items-center gap-2",
@@ -829,8 +703,7 @@ function LifecycleIconRow({
                           }}
                         />
                         <span className="smart-capitalize">
-                          {item.data?.zones_friendly_names?.[zidx] ??
+                          {zone.replaceAll("_", " ")}
-                            zone.replaceAll("_", " ")}
                         </span>
                       </Badge>
                     );

web/src/components/player/VideoControls.tsx

@@ -289,7 +289,6 @@ export default function VideoControls({
           }}
           onUploadFrame={onUploadFrame}
           containerRef={containerRef}
-          fullscreen={fullscreen}
         />
       )}
       {features.fullscreen && toggleFullscreen && (
@@ -307,7 +306,6 @@ type FrigatePlusUploadButtonProps = {
   onClose: () => void;
   onUploadFrame: () => void;
   containerRef?: React.MutableRefObject<HTMLDivElement | null>;
-  fullscreen?: boolean;
 };
 function FrigatePlusUploadButton({
   video,
@@ -315,7 +313,6 @@ function FrigatePlusUploadButton({
   onClose,
   onUploadFrame,
   containerRef,
-  fullscreen,
 }: FrigatePlusUploadButtonProps) {
   const { t } = useTranslation(["components/player"]);
 
@@ -352,11 +349,7 @@ function FrigatePlusUploadButton({
         />
       </AlertDialogTrigger>
       <AlertDialogContent
-        portalProps={
+        portalProps={{ container: containerRef?.current }}
-          fullscreen && containerRef?.current
-            ? { container: containerRef.current }
-            : undefined
-        }
         className="md:max-w-2xl lg:max-w-3xl xl:max-w-4xl"
       >
         <AlertDialogHeader>

web/src/components/settings/CameraWizardDialog.tsx

@@ -174,7 +174,9 @@ export default function CameraWizardDialog({
             ...(friendlyName && { friendly_name: friendlyName }),
             ffmpeg: {
               inputs: wizardData.streams.map((stream, index) => {
-                if (stream.restream) {
+                const isRestreamed =
+                  wizardData.restreamIds?.includes(stream.id) ?? false;
+                if (isRestreamed) {
                   const go2rtcStreamName =
                     wizardData.streams!.length === 1
                       ? finalCameraName
@@ -232,11 +234,7 @@ export default function CameraWizardDialog({
                   wizardData.streams!.length === 1
                     ? finalCameraName
                     : `${finalCameraName}_${index + 1}`;
-
+                go2rtcStreams[streamName] = [stream.url];
-                const streamUrl = stream.useFfmpeg
-                  ? `ffmpeg:${stream.url}`
-                  : stream.url;
-                go2rtcStreams[streamName] = [streamUrl];
               });
 
               if (Object.keys(go2rtcStreams).length > 0) {

web/src/components/settings/PolygonCanvas.tsx

@@ -262,7 +262,7 @@ export function PolygonCanvas({
   };
 
   useEffect(() => {
-    if (activePolygonIndex === undefined || !polygons?.length) {
+    if (activePolygonIndex === undefined || !polygons) {
       return;
     }
 
@@ -270,7 +270,7 @@ export function PolygonCanvas({
     const activePolygon = updatedPolygons[activePolygonIndex];
 
     // add default points order for already completed polygons
-    if (!activePolygon.pointsOrder && activePolygon.isFinished) {
+    if (!activePolygon?.pointsOrder && activePolygon?.isFinished) {
       updatedPolygons[activePolygonIndex] = {
         ...activePolygon,
         pointsOrder: activePolygon.points.map((_, index) => index),

web/src/components/settings/PolygonItem.tsx

@@ -179,7 +179,7 @@ export default function PolygonItem({
           if (res.status === 200) {
             toast.success(
               t("masksAndZones.form.polygonDrawing.delete.success", {
-                name: polygon?.friendly_name ?? polygon?.name,
+                name: polygon?.name,
               }),
               {
                 position: "top-center",

web/src/components/settings/wizard/Step1NameCamera.tsx

@@ -385,7 +385,7 @@ export default function Step1NameCamera({
                     </FormLabel>
                     <FormControl>
                       <Input
-                        className="text-md h-8"
+                        className="h-8"
                         placeholder={t(
                           "cameraWizard.step1.cameraNamePlaceholder",
                         )}
@@ -475,7 +475,7 @@ export default function Step1NameCamera({
                         </FormLabel>
                         <FormControl>
                           <Input
-                            className="text-md h-8"
+                            className="h-8"
                             placeholder="192.168.1.100"
                             {...field}
                           />
@@ -495,7 +495,7 @@ export default function Step1NameCamera({
                         </FormLabel>
                         <FormControl>
                           <Input
-                            className="text-md h-8"
+                            className="h-8"
                             placeholder={t(
                               "cameraWizard.step1.usernamePlaceholder",
                             )}
@@ -518,7 +518,7 @@ export default function Step1NameCamera({
                         <FormControl>
                           <div className="relative">
                             <Input
-                              className="text-md h-8 pr-10"
+                              className="h-8 pr-10"
                               type={showPassword ? "text" : "password"}
                               placeholder={t(
                                 "cameraWizard.step1.passwordPlaceholder",
@@ -558,7 +558,7 @@ export default function Step1NameCamera({
                       </FormLabel>
                       <FormControl>
                         <Input
-                          className="text-md h-8"
+                          className="h-8"
                           placeholder="rtsp://username:password@host:port/path"
                           {...field}
                         />
@@ -608,12 +608,6 @@ export default function Step1NameCamera({
         </div>
       )}
 
-      {isTesting && (
-        <div className="flex items-center gap-2 text-sm text-muted-foreground">
-          <ActivityIndicator className="size-4" />
-          {testStatus}
-        </div>
-      )}
       <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
         <Button
           type="button"
@@ -641,7 +635,10 @@ export default function Step1NameCamera({
             variant="select"
             className="flex items-center justify-center gap-2 sm:flex-1"
           >
-            {t("cameraWizard.step1.testConnection")}
+            {isTesting && <ActivityIndicator className="size-4" />}
+            {isTesting && testStatus
+              ? testStatus
+              : t("cameraWizard.step1.testConnection")}
           </Button>
         )}
       </div>

web/src/components/settings/wizard/Step2StreamConfig.tsx

@@ -201,12 +201,16 @@ export default function Step2StreamConfig({
 
   const setRestream = useCallback(
     (streamId: string) => {
-      const stream = streams.find((s) => s.id === streamId);
+      const currentIds = wizardData.restreamIds || [];
-      if (!stream) return;
+      const isSelected = currentIds.includes(streamId);
-
+      const newIds = isSelected
-      updateStream(streamId, { restream: !stream.restream });
+        ? currentIds.filter((id) => id !== streamId)
+        : [...currentIds, streamId];
+      onUpdate({
+        restreamIds: newIds,
+      });
     },
-    [streams, updateStream],
+    [wizardData.restreamIds, onUpdate],
   );
 
   const hasDetectRole = streams.some((s) => s.roles.includes("detect"));
@@ -431,7 +435,9 @@ export default function Step2StreamConfig({
                       {t("cameraWizard.step2.go2rtc")}
                     </span>
                     <Switch
-                      checked={stream.restream || false}
+                      checked={(wizardData.restreamIds || []).includes(
+                        stream.id,
+                      )}
                       onCheckedChange={() => setRestream(stream.id)}
                     />
                   </div>

web/src/components/settings/wizard/Step3Validation.tsx

@@ -1,13 +1,7 @@
 import { Button } from "@/components/ui/button";
 import { Badge } from "@/components/ui/badge";
-import { Switch } from "@/components/ui/switch";
-import {
-  Popover,
-  PopoverContent,
-  PopoverTrigger,
-} from "@/components/ui/popover";
 import { useTranslation } from "react-i18next";
-import { LuRotateCcw, LuInfo } from "react-icons/lu";
+import { LuRotateCcw } from "react-icons/lu";
 import { useState, useCallback, useMemo, useEffect } from "react";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import axios from "axios";
@@ -222,6 +216,7 @@ export default function Step3Validation({
       brandTemplate: wizardData.brandTemplate,
       customUrl: wizardData.customUrl,
       streams: wizardData.streams,
+      restreamIds: wizardData.restreamIds,
     };
 
     onSave(configData);
@@ -327,51 +322,6 @@ export default function Step3Validation({
                     </div>
                   )}
 
-                  {result?.success && (
-                    <div className="mb-3 flex items-center justify-between">
-                      <div className="flex items-center gap-2">
-                        <span className="text-sm">
-                          {t("cameraWizard.step3.ffmpegModule")}
-                        </span>
-                        <Popover>
-                          <PopoverTrigger asChild>
-                            <Button
-                              variant="ghost"
-                              size="sm"
-                              className="h-4 w-4 p-0"
-                            >
-                              <LuInfo className="size-3" />
-                            </Button>
-                          </PopoverTrigger>
-                          <PopoverContent className="pointer-events-auto w-80 text-xs">
-                            <div className="space-y-2">
-                              <div className="font-medium">
-                                {t("cameraWizard.step3.ffmpegModule")}
-                              </div>
-                              <div className="text-muted-foreground">
-                                {t(
-                                  "cameraWizard.step3.ffmpegModuleDescription",
-                                )}
-                              </div>
-                            </div>
-                          </PopoverContent>
-                        </Popover>
-                      </div>
-                      <Switch
-                        checked={stream.useFfmpeg || false}
-                        onCheckedChange={(checked) => {
-                          onUpdate({
-                            streams: streams.map((s) =>
-                              s.id === stream.id
-                                ? { ...s, useFfmpeg: checked }
-                                : s,
-                            ),
-                          });
-                        }}
-                      />
-                    </div>
-                  )}
-
                   <div className="mb-2 flex flex-col justify-between gap-1 md:flex-row md:items-center">
                     <span className="break-all text-sm text-muted-foreground">
                       {stream.url}
@@ -541,7 +491,8 @@ function StreamIssues({
 
     // Restreaming check
     if (stream.roles.includes("record")) {
-      if (stream.restream) {
+      const restreamIds = wizardData.restreamIds || [];
+      if (restreamIds.includes(stream.id)) {
         result.push({
           type: "warning",
           message: t("cameraWizard.step3.issues.restreamingWarning"),
@@ -709,10 +660,9 @@ function StreamPreview({ stream, onBandwidthUpdate }: StreamPreviewProps) {
 
   useEffect(() => {
     // Register stream with go2rtc
-    const streamUrl = stream.useFfmpeg ? `ffmpeg:${stream.url}` : stream.url;
     axios
       .put(`go2rtc/streams/${streamId}`, null, {
-        params: { src: streamUrl },
+        params: { src: stream.url },
       })
       .then(() => {
         // Add small delay to allow go2rtc api to run and initialize the stream
@@ -730,7 +680,7 @@ function StreamPreview({ stream, onBandwidthUpdate }: StreamPreviewProps) {
         // do nothing on cleanup errors - go2rtc won't consume the streams
       });
     };
-  }, [stream.url, stream.useFfmpeg, streamId]);
+  }, [stream.url, streamId]);
 
   const resolution = stream.testResult?.resolution;
   let aspectRatio = "16/9";

web/src/components/timeline/DetailStream.tsx

@@ -31,7 +31,6 @@ import { Link } from "react-router-dom";
 import { Switch } from "@/components/ui/switch";
 import { usePersistence } from "@/hooks/use-persistence";
 import { isDesktop } from "react-device-detect";
-import { resolveZoneName } from "@/hooks/use-zone-friendly-name";
 
 type DetailStreamProps = {
   reviewItems?: ReviewSegment[];
@@ -368,11 +367,7 @@ function ReviewGroup({
   return (
     <div
       data-review-id={id}
-      className={`mx-1 cursor-pointer rounded-lg bg-secondary px-0 py-3 outline outline-[2px] -outline-offset-[1.8px] ${
+      className="cursor-pointer rounded-lg bg-secondary py-3"
-        isActive
-          ? "shadow-selected outline-selected"
-          : "outline-transparent duration-500"
-      }`}
     >
       <div
         className={cn(
@@ -387,10 +382,10 @@ function ReviewGroup({
         <div className="ml-4 mr-2 mt-1.5 flex flex-row items-start">
           <LuCircle
             className={cn(
-              "size-3 duration-500",
+              "size-3",
-              review.severity == "alert"
+              isActive
-                ? "fill-severity_alert text-severity_alert"
+                ? "fill-selected text-selected"
-                : "fill-severity_detection text-severity_detection",
+                : "fill-muted duration-500 dark:fill-secondary-highlight dark:text-secondary-highlight",
             )}
           />
         </div>
@@ -459,7 +454,6 @@ function ReviewGroup({
                   <EventList
                     key={event.id}
                     event={event}
-                    review={review}
                     effectiveTime={effectiveTime}
                     annotationOffset={annotationOffset}
                     onSeek={onSeek}
@@ -494,7 +488,6 @@ function ReviewGroup({
 
 type EventListProps = {
   event: Event;
-  review: ReviewSegment;
   effectiveTime?: number;
   annotationOffset: number;
   onSeek: (ts: number, play?: boolean) => void;
@@ -502,7 +495,6 @@ type EventListProps = {
 };
 function EventList({
   event,
-  review,
   effectiveTime,
   annotationOffset,
   onSeek,
@@ -621,7 +613,6 @@ function EventList({
 
         <div className="mt-2">
           <ObjectTimeline
-            review={review}
             eventId={event.id}
             onSeek={handleTimelineClick}
             effectiveTime={effectiveTime}
@@ -655,16 +646,6 @@ function LifecycleItem({
   const { t } = useTranslation("views/events");
   const { data: config } = useSWR<FrigateConfig>("config");
 
-  item = {
-    ...item,
-    data: {
-      ...item.data,
-      zones_friendly_names: item?.data?.zones?.map((zone) => {
-        return resolveZoneName(config, zone);
-      }),
-    },
-  };
-
   const aspectRatio = useMemo(() => {
     if (!config || !item?.camera) {
       return 16 / 9;
@@ -780,7 +761,6 @@ function LifecycleItem({
 
 // Fetch and render timeline entries for a single event id on demand.
 function ObjectTimeline({
-  review,
   eventId,
   onSeek,
   effectiveTime,
@@ -788,7 +768,6 @@ function ObjectTimeline({
   startTime,
   endTime,
 }: {
-  review: ReviewSegment;
   eventId: string;
   onSeek: (ts: number, play?: boolean) => void;
   effectiveTime?: number;
@@ -797,27 +776,13 @@ function ObjectTimeline({
   endTime?: number;
 }) {
   const { t } = useTranslation("views/events");
-  const { data: fullTimeline, isValidating } = useSWR<
+  const { data: timeline, isValidating } = useSWR<TrackingDetailsSequence[]>([
-    TrackingDetailsSequence[]
-  >([
     "timeline",
     {
       source_id: eventId,
     },
   ]);
 
-  const timeline = useMemo(() => {
-    if (!fullTimeline) {
-      return fullTimeline;
-    }
-
-    return fullTimeline.filter(
-      (t) =>
-        t.timestamp >= review.start_time &&
-        (review.end_time == undefined || t.timestamp <= review.end_time),
-    );
-  }, [fullTimeline, review]);
-
   if (isValidating && (!timeline || timeline.length === 0)) {
     return <ActivityIndicator className="ml-2 size-3" />;
   }

web/src/components/trigger/wizard/Step1NameAndType.tsx

@@ -101,7 +101,7 @@ export default function Step1NameAndType({
 
   const form = useForm<z.infer<typeof formSchema>>({
     resolver: zodResolver(formSchema),
-    mode: "onBlur",
+    mode: "onChange",
     defaultValues: {
       enabled: true,
       name: initialData?.name ?? trigger?.name ?? "",

web/src/pages/FaceLibrary.tsx

@@ -845,7 +845,6 @@ function FaceAttemptGroup({
       selectedItems={selectedFaces}
       i18nLibrary="views/faceLibrary"
       objectType="person"
-      noClassificationLabel="details.unknown"
       onClick={(data) => {
         if (data) {
           onClickFaces([data.filename], true);

web/src/pages/Settings.tsx

@@ -157,11 +157,9 @@ function MobileMenuItem({
   const { t } = useTranslation(["views/settings"]);
 
   return (
-    <div
+    <Button
-      className={cn(
+      variant="ghost"
-        "inline-flex h-10 w-full cursor-pointer items-center justify-between whitespace-nowrap rounded-md px-4 py-2 pr-2 text-sm font-medium text-primary-variant disabled:pointer-events-none disabled:opacity-50",
+      className={cn("w-full justify-between pr-2", className)}
-        className,
-      )}
       onClick={() => {
         onSelect(item.key);
         onClose?.();
@@ -169,7 +167,7 @@ function MobileMenuItem({
     >
       <div className="smart-capitalize">{t("menu." + item.key)}</div>
       <LuChevronRight className="size-4" />
-    </div>
+    </Button>
   );
 }
 
@@ -275,9 +273,6 @@ export default function Settings() {
       } else {
         setPageToggle(page as SettingsType);
       }
-      if (isMobile) {
-        setContentMobileOpen(true);
-      }
     }
     // don't clear url params if we're creating a new object mask
     return !(searchParams.has("object_mask") || searchParams.has("event_id"));
@@ -287,9 +282,6 @@ export default function Settings() {
     const cameraNames = cameras.map((c) => c.name);
     if (cameraNames.includes(camera)) {
       setSelectedCamera(camera);
-      if (isMobile) {
-        setContentMobileOpen(true);
-      }
     }
     // don't clear url params if we're creating a new object mask or trigger
     return !(searchParams.has("object_mask") || searchParams.has("event_id"));

web/src/types/cameraWizard.ts

@@ -85,8 +85,6 @@ export type StreamConfig = {
   quality?: string;
   testResult?: TestResult;
   userTested?: boolean;
-  useFfmpeg?: boolean;
-  restream?: boolean;
 };
 
 export type TestResult = {
@@ -107,6 +105,7 @@ export type WizardFormData = {
   brandTemplate?: CameraBrand;
   customUrl?: string;
   streams?: StreamConfig[];
+  restreamIds?: string[];
 };
 
 // API Response Types
@@ -147,7 +146,6 @@ export type CameraConfigData = {
         inputs: {
           path: string;
           roles: string[];
-          input_args?: string;
         }[];
       };
       live?: {

web/src/types/frigateConfig.ts

@@ -307,7 +307,6 @@ export type CustomClassificationModelConfig = {
   threshold: number;
   object_config?: {
     objects: string[];
-    classification_type: string;
   };
   state_config?: {
     cameras: {

web/src/utils/lifecycleUtil.ts

@@ -42,9 +42,7 @@ export function getLifecycleItemDescription(
       return t("trackingDetails.lifecycleItemDesc.entered_zone", {
         ns: "views/explore",
         label,
-        zones: formatZonesList(
+        zones: formatZonesList(lifecycleItem.data.zones),
-          lifecycleItem.data.zones_friendly_names ?? lifecycleItem.data.zones,
-        ),
       });
     case "active":
       return t("trackingDetails.lifecycleItemDesc.active", {

web/src/utils/stringUtil.ts

@@ -43,5 +43,5 @@ export function generateFixedHash(name: string, prefix: string = "id"): string {
  * @returns True if the name is valid, false otherwise
  */
 export function isValidId(name: string): boolean {
-  return /^[a-zA-Z0-9_-]+$/.test(name) && !/^\d+$/.test(name);
+  return /^[a-zA-Z0-9_-]+$/.test(name);
 }

web/src/views/classification/ModelSelectionView.tsx

@@ -1,6 +1,5 @@
 import { baseUrl } from "@/api/baseUrl";
 import ClassificationModelWizardDialog from "@/components/classification/ClassificationModelWizardDialog";
-import ClassificationModelEditDialog from "@/components/classification/ClassificationModelEditDialog";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { ImageShadowOverlay } from "@/components/overlay/ImageShadowOverlay";
 import { Button, buttonVariants } from "@/components/ui/button";
@@ -11,17 +10,18 @@ import {
   CustomClassificationModelConfig,
   FrigateConfig,
 } from "@/types/frigateConfig";
-import { useCallback, useEffect, useMemo, useState } from "react";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import { useTranslation } from "react-i18next";
 import { FaFolderPlus } from "react-icons/fa";
 import { MdModelTraining } from "react-icons/md";
-import { LuPencil, LuTrash2 } from "react-icons/lu";
+import { LuTrash2 } from "react-icons/lu";
 import { FiMoreVertical } from "react-icons/fi";
 import useSWR from "swr";
 import Heading from "@/components/ui/heading";
 import { useOverlayState } from "@/hooks/use-overlay-state";
 import axios from "axios";
 import { toast } from "sonner";
+import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import {
   DropdownMenu,
   DropdownMenuContent,
@@ -164,7 +164,6 @@ export default function ModelSelectionView({
               key={config.name}
               config={config}
               onClick={() => onClick(config)}
-              onUpdate={() => refreshConfig()}
               onDelete={() => refreshConfig()}
             />
           ))}
@@ -203,10 +202,9 @@ function NoModelsView({
 type ModelCardProps = {
   config: CustomClassificationModelConfig;
   onClick: () => void;
-  onUpdate: () => void;
   onDelete: () => void;
 };
-function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
+function ModelCard({ config, onClick, onDelete }: ModelCardProps) {
   const { t } = useTranslation(["views/classificationModel"]);
 
   const { data: dataset } = useSWR<{
@@ -214,50 +212,42 @@ function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
   }>(`classification/${config.name}/dataset`, { revalidateOnFocus: false });
 
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
-  const [editDialogOpen, setEditDialogOpen] = useState(false);
+  const bypassDialogRef = useRef(false);
+
+  useKeyboardListener(["Shift"], (_, modifiers) => {
+    bypassDialogRef.current = modifiers.shift;
+    return false;
+  });
 
   const handleDelete = useCallback(async () => {
-    try {
+    await axios
-      await axios.delete(`classification/${config.name}`);
+      .delete(`classification/${config.name}`)
-      await axios.put("/config/set", {
+      .then((resp) => {
-        requires_restart: 0,
+        if (resp.status == 200) {
-        update_topic: `config/classification/custom/${config.name}`,
+          toast.success(t("toast.success.deletedModel", { count: 1 }), {
-        config_data: {
+            position: "top-center",
-          classification: {
+          });
-            custom: {
+          onDelete();
-              [config.name]: "",
+        }
-            },
+      })
-          },
+      .catch((error) => {
-        },
+        const errorMessage =
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(t("toast.error.deleteModelFailed", { errorMessage }), {
+          position: "top-center",
+        });
       });
-
-      toast.success(t("toast.success.deletedModel", { count: 1 }), {
-        position: "top-center",
-      });
-      onDelete();
-    } catch (err) {
-      const error = err as {
-        response?: { data?: { message?: string; detail?: string } };
-      };
-      const errorMessage =
-        error.response?.data?.message ||
-        error.response?.data?.detail ||
-        "Unknown error";
-      toast.error(t("toast.error.deleteModelFailed", { errorMessage }), {
-        position: "top-center",
-      });
-    }
   }, [config, onDelete, t]);
 
-  const handleDeleteClick = useCallback((e: React.MouseEvent) => {
+  const handleDeleteClick = useCallback(() => {
-    e.stopPropagation();
+    if (bypassDialogRef.current) {
-    setDeleteDialogOpen(true);
+      handleDelete();
-  }, []);
+    } else {
-
+      setDeleteDialogOpen(true);
-  const handleEditClick = useCallback((e: React.MouseEvent) => {
+    }
-    e.stopPropagation();
+  }, [handleDelete]);
-    setEditDialogOpen(true);
-  }, []);
 
   const coverImage = useMemo(() => {
     if (!dataset) {
@@ -279,13 +269,6 @@ function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
 
   return (
     <>
-      <ClassificationModelEditDialog
-        open={editDialogOpen}
-        model={config}
-        onClose={() => setEditDialogOpen(false)}
-        onSuccess={() => onUpdate()}
-      />
-
       <AlertDialog
         open={deleteDialogOpen}
         onOpenChange={() => setDeleteDialogOpen(!deleteDialogOpen)}
@@ -321,7 +304,7 @@ function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
           className="size-full"
           src={`${baseUrl}clips/${config.name}/dataset/${coverImage?.name}/${coverImage?.img}`}
         />
-        <ImageShadowOverlay lowerClassName="h-[30%] z-0" />
+        <ImageShadowOverlay />
         <div className="absolute bottom-2 left-3 text-lg text-white smart-capitalize">
           {config.name}
         </div>
@@ -332,17 +315,14 @@ function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
                 <FiMoreVertical className="size-5 text-white" />
               </BlurredIconButton>
             </DropdownMenuTrigger>
-            <DropdownMenuContent
+            <DropdownMenuContent align="end">
-              align="end"
-              onClick={(e) => e.stopPropagation()}
-            >
-              <DropdownMenuItem onClick={handleEditClick}>
-                <LuPencil className="mr-2 size-4" />
-                <span>{t("button.edit", { ns: "common" })}</span>
-              </DropdownMenuItem>
               <DropdownMenuItem onClick={handleDeleteClick}>
                 <LuTrash2 className="mr-2 size-4" />
-                <span>{t("button.delete", { ns: "common" })}</span>
+                <span>
+                  {bypassDialogRef.current
+                    ? t("button.deleteNow", { ns: "common" })
+                    : t("button.delete", { ns: "common" })}
+                </span>
               </DropdownMenuItem>
             </DropdownMenuContent>
           </DropdownMenu>

web/src/views/classification/ModelTrainingView.tsx

@@ -327,39 +327,31 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
       </AlertDialog>
 
       <div className="flex flex-row justify-between gap-2 p-2 align-middle">
-        {(isDesktop || !selectedImages?.length) && (
+        <div className="flex flex-row items-center justify-center gap-2">
-          <div className="flex flex-row items-center justify-center gap-2">
+          <Button
-            <Button
+            className="flex items-center gap-2.5 rounded-lg"
-              className="flex items-center gap-2.5 rounded-lg"
+            aria-label={t("label.back", { ns: "common" })}
-              aria-label={t("label.back", { ns: "common" })}
+            onClick={() => navigate(-1)}
-              onClick={() => navigate(-1)}
-            >
-              <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
-              {isDesktop && (
-                <div className="text-primary">
-                  {t("button.back", { ns: "common" })}
-                </div>
-              )}
-            </Button>
-
-            <LibrarySelector
-              pageToggle={pageToggle}
-              dataset={dataset || {}}
-              trainImages={trainImages || []}
-              setPageToggle={setPageToggle}
-              onDelete={onDelete}
-              onRename={() => {}}
-            />
-          </div>
-        )}
-        {selectedImages?.length > 0 ? (
-          <div
-            className={cn(
-              "flex w-full items-center justify-end gap-2",
-              isMobileOnly && "justify-between",
-            )}
           >
-            <div className="flex w-48 items-center justify-center text-sm text-muted-foreground">
+            <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
+            {isDesktop && (
+              <div className="text-primary">
+                {t("button.back", { ns: "common" })}
+              </div>
+            )}
+          </Button>
+          <LibrarySelector
+            pageToggle={pageToggle}
+            dataset={dataset || {}}
+            trainImages={trainImages || []}
+            setPageToggle={setPageToggle}
+            onDelete={onDelete}
+            onRename={() => {}}
+          />
+        </div>
+        {selectedImages?.length > 0 ? (
+          <div className="flex items-center justify-center gap-2">
+            <div className="mx-1 flex w-48 items-center justify-center text-sm text-muted-foreground">
               <div className="p-1">{`${selectedImages.length} selected`}</div>
               <div className="p-1">{"|"}</div>
               <div
@@ -969,7 +961,6 @@ function ObjectTrainGrid({
                 selectedItems={selectedImages}
                 i18nLibrary="views/classificationModel"
                 objectType={model.object_config?.objects?.at(0) ?? "Object"}
-                noClassificationLabel="details.none"
                 onClick={(data) => {
                   if (data) {
                     onClickImages([data.filename], true);

web/src/views/events/EventView.tsx

@@ -136,7 +136,7 @@ export default function EventView({
 
   const [selectedReviews, setSelectedReviews] = useState<ReviewSegment[]>([]);
   const onSelectReview = useCallback(
-    (review: ReviewSegment, ctrl: boolean, detail: boolean) => {
+    (review: ReviewSegment, ctrl: boolean) => {
       if (selectedReviews.length > 0 || ctrl) {
         const index = selectedReviews.findIndex((r) => r.id === review.id);
 
@@ -156,31 +156,17 @@ export default function EventView({
           setSelectedReviews(copy);
         }
       } else {
-        // If a specific date is selected in the calendar and it's after the event start,
-        // use the selected date instead of the event start time
-        const effectiveStartTime =
-          timeRange.after > review.start_time
-            ? timeRange.after
-            : review.start_time;
-
         onOpenRecording({
           camera: review.camera,
-          startTime: effectiveStartTime - REVIEW_PADDING,
+          startTime: review.start_time - REVIEW_PADDING,
           severity: review.severity,
-          timelineType: detail ? "detail" : undefined,
         });
 
         review.has_been_reviewed = true;
         markItemAsReviewed(review);
       }
     },
-    [
+    [selectedReviews, setSelectedReviews, onOpenRecording, markItemAsReviewed],
-      selectedReviews,
-      setSelectedReviews,
-      onOpenRecording,
-      markItemAsReviewed,
-      timeRange.after,
-    ],
   );
   const onSelectAllReviews = useCallback(() => {
     if (!currentReviewItems || currentReviewItems.length == 0) {
@@ -416,6 +402,7 @@ export default function EventView({
             onSelectAllReviews={onSelectAllReviews}
             setSelectedReviews={setSelectedReviews}
             pullLatestData={pullLatestData}
+            onOpenRecording={onOpenRecording}
           />
         )}
         {severity == "significant_motion" && (
@@ -455,14 +442,11 @@ type DetectionReviewProps = {
   loading: boolean;
   markItemAsReviewed: (review: ReviewSegment) => void;
   markAllItemsAsReviewed: (currentItems: ReviewSegment[]) => void;
-  onSelectReview: (
+  onSelectReview: (review: ReviewSegment, ctrl: boolean) => void;
-    review: ReviewSegment,
-    ctrl: boolean,
-    detail: boolean,
-  ) => void;
   onSelectAllReviews: () => void;
   setSelectedReviews: (reviews: ReviewSegment[]) => void;
   pullLatestData: () => void;
+  onOpenRecording: (recordingInfo: RecordingStartingPoint) => void;
 };
 function DetectionReview({
   contentRef,
@@ -482,6 +466,7 @@ function DetectionReview({
   onSelectAllReviews,
   setSelectedReviews,
   pullLatestData,
+  onOpenRecording,
 }: DetectionReviewProps) {
   const { t } = useTranslation(["views/events"]);
 
@@ -773,7 +758,16 @@ function DetectionReview({
                           ctrl: boolean,
                           detail: boolean,
                         ) => {
-                          onSelectReview(review, ctrl, detail);
+                          if (detail) {
+                            onOpenRecording({
+                              camera: review.camera,
+                              startTime: review.start_time - REVIEW_PADDING,
+                              severity: review.severity,
+                              timelineType: "detail",
+                            });
+                          } else {
+                            onSelectReview(review, ctrl);
+                          }
                         }}
                       />
                     </div>

web/src/views/recording/RecordingView.tsx

@@ -970,6 +970,7 @@ function Timeline({
         "relative overflow-hidden",
         isDesktop
           ? cn(
+              "no-scrollbar overflow-y-auto",
               timelineType == "timeline"
                 ? "w-[100px] flex-shrink-0"
                 : timelineType == "detail"

web/src/views/settings/CameraSettingsView.tsx

@@ -709,11 +709,11 @@ export default function CameraSettingsView({
                   <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
                     <Button
                       className="flex flex-1"
-                      aria-label={t("button.reset", { ns: "common" })}
+                      aria-label={t("button.cancel", { ns: "common" })}
                       onClick={onCancel}
                       type="button"
                     >
-                      <Trans>button.reset</Trans>
+                      <Trans>button.cancel</Trans>
                     </Button>
                     <Button
                       variant="select"