Merge bb45483e9e1b0925475a59565a72b84bb4ff2992 into a510ea903675327dbb1d752403efbc066fe29272

* Use the review card in event timeline popover

* Show review title in review card

.github/workflows/ci.yml

@@ -225,3 +225,29 @@ jobs:
           sources: |
             ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ env.SHORT_SHA }}-amd64
             ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ env.SHORT_SHA }}-rpi
+  axera_build:
+    runs-on: ubuntu-22.04
+    name: AXERA Build
+    needs:
+      - amd64_build
+      - arm64_build
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v5
+        with:
+          persist-credentials: false
+      - name: Set up QEMU and Buildx
+        id: setup
+        uses: ./.github/actions/setup
+        with:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      - name: Build and push Axera build
+        uses: docker/bake-action@v6
+        with:
+          source: .
+          push: true
+          targets: axcl
+          files: docker/axcl/axcl.hcl
+          set: |
+            axcl.tags=${{ steps.setup.outputs.image-name }}-axcl
+            *.cache-from=type=gha

docker/axcl/Dockerfile

@@ -0,0 +1,59 @@
+# syntax=docker/dockerfile:1.6
+
+# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
+ARG DEBIAN_FRONTEND=noninteractive
+
+# Globally set pip break-system-packages option to avoid having to specify it every time
+ARG PIP_BREAK_SYSTEM_PACKAGES=1
+
+
+FROM frigate AS frigate-axcl
+ARG TARGETARCH
+ARG PIP_BREAK_SYSTEM_PACKAGES
+
+# Install axmodels
+RUN mkdir -p /axmodels \
+    && wget https://github.com/ivanshi1108/assets/releases/download/v0.16.2/yolov5s_320.axmodel -O /axmodels/yolov5s_320.axmodel
+
+# Install axpyengine
+RUN wget https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc1/axengine-0.1.3-py3-none-any.whl -O /axengine-0.1.3-py3-none-any.whl
+RUN pip3 install -i https://mirrors.aliyun.com/pypi/simple/ /axengine-0.1.3-py3-none-any.whl \
+    && rm /axengine-0.1.3-py3-none-any.whl
+
+# Install axcl
+RUN if [ "$TARGETARCH" = "amd64" ]; then \
+        echo "Installing x86_64 version of axcl"; \
+        wget https://github.com/ivanshi1108/assets/releases/download/v0.16.2/axcl_host_x86_64_V3.6.5_20250908154509_NO4973.deb -O /axcl.deb; \
+    else \
+        echo "Installing aarch64 version of axcl"; \
+        wget https://github.com/ivanshi1108/assets/releases/download/v0.16.2/axcl_host_aarch64_V3.6.5_20250908154509_NO4973.deb -O /axcl.deb; \
+    fi
+
+RUN mkdir /unpack_axcl && \
+    dpkg-deb -x /axcl.deb /unpack_axcl && \
+    cp -R /unpack_axcl/usr/bin/axcl /usr/bin/ && \
+    cp -R /unpack_axcl/usr/lib/axcl /usr/lib/ && \
+    rm -rf /unpack_axcl /axcl.deb
+
+
+# Install axcl ffmpeg
+RUN mkdir -p /usr/lib/ffmpeg/axcl
+
+RUN if [ "$TARGETARCH" = "amd64" ]; then \
+        wget https://github.com/ivanshi1108/assets/releases/download/v0.16.2/ffmpeg-x64 -O /usr/lib/ffmpeg/axcl/ffmpeg && \
+        wget https://github.com/ivanshi1108/assets/releases/download/v0.16.2/ffprobe-x64 -O /usr/lib/ffmpeg/axcl/ffprobe; \
+    else \
+        wget https://github.com/ivanshi1108/assets/releases/download/v0.16.2/ffmpeg-aarch64 -O /usr/lib/ffmpeg/axcl/ffmpeg && \
+        wget https://github.com/ivanshi1108/assets/releases/download/v0.16.2/ffprobe-aarch64 -O /usr/lib/ffmpeg/axcl/ffprobe; \
+    fi
+
+RUN chmod +x /usr/lib/ffmpeg/axcl/ffmpeg /usr/lib/ffmpeg/axcl/ffprobe
+
+# Set ldconfig path
+RUN echo "/usr/lib/axcl" > /etc/ld.so.conf.d/ax.conf
+
+# Set env
+ENV PATH="$PATH:/usr/bin/axcl"
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/lib/axcl"
+
+ENTRYPOINT ["sh", "-c", "ldconfig && exec /init"]

docker/axcl/axcl.hcl

@@ -0,0 +1,13 @@
+target frigate {
+  dockerfile = "docker/main/Dockerfile"
+  platforms = ["linux/amd64", "linux/arm64"]
+  target = "frigate"
+}
+
+target axcl {
+  dockerfile = "docker/axcl/Dockerfile"
+  contexts = {
+    frigate = "target:frigate",
+  }
+  platforms = ["linux/amd64", "linux/arm64"]
+}

docker/axcl/axcl.mk

@@ -0,0 +1,15 @@
+BOARDS += axcl
+
+local-axcl: version
+	docker buildx bake --file=docker/axcl/axcl.hcl axcl \
+		--set axcl.tags=frigate:latest-axcl \
+		--load
+
+build-axcl: version
+	docker buildx bake --file=docker/axcl/axcl.hcl axcl \
+		--set axcl.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-axcl
+
+push-axcl: build-axcl
+	docker buildx bake --file=docker/axcl/axcl.hcl axcl \
+		--set axcl.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-axcl \
+		--push

docker/axcl/user_installation.sh

@@ -0,0 +1,83 @@
+#!/bin/bash
+
+# Update package list and install dependencies
+sudo apt-get update
+sudo apt-get install -y build-essential cmake git wget pciutils kmod udev
+
+# Check if gcc-12 is needed
+current_gcc_version=$(gcc --version | head -n1 | awk '{print $NF}')
+gcc_major_version=$(echo $current_gcc_version | cut -d'.' -f1)
+
+if [[ $gcc_major_version -lt 12 ]]; then
+    echo "Current GCC version ($current_gcc_version) is lower than 12, installing gcc-12..."
+    sudo apt-get install -y gcc-12
+    sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-12 12
+    echo "GCC-12 installed and set as default"
+else
+    echo "Current GCC version ($current_gcc_version) is sufficient, skipping GCC installation"
+fi
+
+# Determine architecture
+arch=$(uname -m)
+download_url=""
+
+if [[ $arch == "x86_64" ]]; then
+    download_url="https://github.com/ivanshi1108/assets/releases/download/v0.16.2/axcl_host_x86_64_V3.6.5_20250908154509_NO4973.deb"
+    deb_file="axcl_host_x86_64_V3.6.5_20250908154509_NO4973.deb"
+elif [[ $arch == "aarch64" ]]; then
+    download_url="https://github.com/ivanshi1108/assets/releases/download/v0.16.2/axcl_host_aarch64_V3.6.5_20250908154509_NO4973.deb"
+    deb_file="axcl_host_aarch64_V3.6.5_20250908154509_NO4973.deb"
+else
+    echo "Unsupported architecture: $arch"
+    exit 1
+fi
+
+# Download AXCL driver
+echo "Downloading AXCL driver for $arch..."
+wget "$download_url" -O "$deb_file"
+
+if [ $? -ne 0 ]; then
+    echo "Failed to download AXCL driver"
+    exit 1
+fi
+
+# Install AXCL driver
+echo "Installing AXCL driver..."
+sudo dpkg -i "$deb_file"
+
+if [ $? -ne 0 ]; then
+    echo "Failed to install AXCL driver, attempting to fix dependencies..."
+    sudo apt-get install -f -y
+    sudo dpkg -i "$deb_file"
+
+    if [ $? -ne 0 ]; then
+        echo "AXCL driver installation failed"
+        exit 1
+    fi
+fi
+
+# Update environment
+echo "Updating environment..."
+source /etc/profile
+
+# Verify installation
+echo "Verifying AXCL installation..."
+if command -v axcl-smi &> /dev/null; then
+    echo "AXCL driver detected, checking AI accelerator status..."
+
+    axcl_output=$(axcl-smi 2>&1)
+    axcl_exit_code=$?
+
+    echo "$axcl_output"
+
+    if [ $axcl_exit_code -eq 0 ]; then
+        echo "AXCL driver installation completed successfully!"
+    else
+        echo "AXCL driver installed but no AI accelerator detected or communication failed."
+        echo "Please check if the AI accelerator is properly connected and powered on."
+        exit 1
+    fi
+else
+    echo "axcl-smi command not found. AXCL driver installation may have failed."
+    exit 1
+fi

docker/main/build_pysqlite3.sh

@@ -5,21 +5,27 @@ 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
   cd sqlite
-  
+
   # Download the pre-built amalgamation from sqlite.org
   # For SQLite 3.46.1, the amalgamation version is 3460100
   SQLITE_AMALGAMATION_VERSION="3460100"
-  
+
   wget https://www.sqlite.org/2024/sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}.zip -O sqlite-amalgamation.zip
   unzip sqlite-amalgamation.zip
   mv sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}/* .
   rmdir sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}
   rm sqlite-amalgamation.zip
-  
+
   cd ../
 fi
 

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 -r /requirements-tensorrt-models.txt
+    pip3 wheel --wheel-dir=/trt-model-wheels --no-deps -r /requirements-tensorrt-models.txt
 
 FROM wget AS jetson-ffmpeg
 ARG DEBIAN_FRONTEND
@@ -145,7 +145,8 @@ 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 /deps/trt-model-wheels/*.whl \
+    && pip3 install -U /deps/trt-wheels/*.whl \
+    && pip3 install -U /deps/trt-model-wheels/*.whl \
     && ldconfig
 
 WORKDIR /opt/frigate/

docs/docs/configuration/object_detectors.md

@@ -47,6 +47,11 @@ Frigate supports multiple different detectors that work on different types of ha
 
 - [Synaptics](#synaptics): synap models can run on Synaptics devices(e.g astra machina) with included NPUs.
 
+**AXERA**
+
+- [AXEngine](#axera): axmodels can run on AXERA AI acceleration.
+
+
 **For Testing**
 
 - [CPU Detector (not recommended for actual use](#cpu-detector-not-recommended): Use a CPU to run tflite model, this is not recommended and in most cases OpenVINO can be used in CPU mode with better results.
@@ -1167,6 +1172,40 @@ model: # required
   labelmap_path: /labelmap/coco-80.txt # required
 ```
 
+## AXERA
+
+Hardware accelerated object detection is supported on the following SoCs:
+
+- AX650N
+- AX8850N
+
+This implementation uses the [AXera Pulsar2 Toolchain](https://huggingface.co/AXERA-TECH/Pulsar2).
+
+See the [installation docs](../frigate/installation.md#axera) for information on configuring the AXEngine hardware.
+
+### Configuration
+
+When configuring the AXEngine detector, you have to specify the model name.
+
+#### yolov5s
+
+A yolov5s model is provided in the container at /axmodels and is used by this detector type by default. 
+
+Use the model configuration shown below when using the axengine detector with the default axmodel:
+
+```yaml
+detectors:  # required
+  axengine:  # required
+    type: axengine  # required
+
+model:  # required
+  path: yolov5s_320  # required
+  width: 320  # required
+  height: 320  # required
+  tensor_format: bgr  # required
+  labelmap_path: /labelmap/coco-80.txt  # required
+```
+
 ## Rockchip platform
 
 Hardware accelerated object detection is supported on the following SoCs:

docs/docs/frigate/hardware.md

@@ -110,6 +110,14 @@ Frigate supports multiple different detectors that work on different types of ha
 | ssd mobilenet    | ~ 25 ms                         |
 | yolov5m          | ~ 118 ms                        |
 
+### AXERA
+
+- **AXEngine** Default model is **yolov5s_320**
+
+| Name             | AXERA AX650N/AX8850N Inference Time |
+| ---------------- | ----------------------------------- |
+| yolov5s_320      | ~ 1.676 ms                          |
+
 ### Hailo-8
 
 Frigate supports both the Hailo-8 and Hailo-8L AI Acceleration Modules on compatible hardware platforms—including the Raspberry Pi 5 with the PCIe hat from the AI kit. The Hailo detector integration in Frigate automatically identifies your hardware type and selects the appropriate default model when a custom model isn’t provided.

docs/docs/frigate/installation.md

@@ -287,6 +287,40 @@ or add these options to your `docker run` command:
 
 Next, you should configure [hardware object detection](/configuration/object_detectors#synaptics) and [hardware video processing](/configuration/hardware_acceleration_video#synaptics).
 
+### AXERA
+
+AXERA accelerators are available in an M.2 form factor, compatible with both Raspberry Pi and Orange Pi. This form factor has also been successfully tested on x86 platforms, making it a versatile choice for various computing environments.
+
+#### Installation
+
+Using AXERA accelerators requires the installation of the AXCL driver. We provide a convenient Linux script to complete this installation.
+
+Follow these steps for installation:
+
+1. Copy or download [this script](https://github.com/ivanshi1108/assets/releases/download/v0.16.2/user_installation.sh).
+2. Ensure it has execution permissions with `sudo chmod +x user_installation.sh`
+3. Run the script with `./user_installation.sh`
+
+#### Setup
+
+To set up Frigate, follow the default installation instructions, for example: `ghcr.io/blakeblackshear/frigate:stable`
+
+Next, grant Docker permissions to access your hardware by adding the following lines to your `docker-compose.yml` file:
+
+```yaml
+devices:
+  - /dev/axcl_host
+  - /dev/ax_mmb_dev
+  - /dev/msg_userdev
+```
+
+If you are using `docker run`, add this option to your command `--device /dev/axcl_host --device /dev/ax_mmb_dev --device /dev/msg_userdev`
+
+#### Configuration
+
+Finally, configure [hardware object detection](/configuration/object_detectors#axera) to complete the setup.
+
+
 ## Docker
 
 Running through Docker with Docker Compose is the recommended install method.

frigate/api/classification.py

@@ -38,7 +38,7 @@ from frigate.util.classification import (
     collect_object_classification_examples,
     collect_state_classification_examples,
 )
-from frigate.util.path import get_event_snapshot
+from frigate.util.file import get_event_snapshot
 
 logger = logging.getLogger(__name__)
 

frigate/api/event.py

@@ -58,7 +58,7 @@ 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.path import get_event_thumbnail_bytes
+from frigate.util.file import get_event_thumbnail_bytes
 from frigate.util.time import get_dst_transitions, get_tz_modifiers
 
 logger = logging.getLogger(__name__)

frigate/api/media.py

@@ -44,8 +44,8 @@ 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.image import get_image_from_recording
-from frigate.util.path import get_event_thumbnail_bytes
 from frigate.util.time import get_dst_transitions
 
 logger = logging.getLogger(__name__)

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.path import get_event_thumbnail_bytes
+from frigate.util.file import get_event_thumbnail_bytes
 
 from ..post.api import PostProcessorApi
 from ..types import DataProcessorMetrics

frigate/data_processing/real_time/custom_classification.py

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

frigate/detectors/plugins/axengine.py

@@ -0,0 +1,201 @@
+import logging
+import os.path
+import re
+import urllib.request
+from typing import Literal
+
+import cv2
+import numpy as np
+from pydantic import Field
+
+from frigate.const import MODEL_CACHE_DIR
+from frigate.detectors.detection_api import DetectionApi
+from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
+from frigate.util.model import post_process_yolo
+
+import axengine as axe
+from axengine import axclrt_provider_name, axengine_provider_name
+
+logger = logging.getLogger(__name__)
+
+DETECTOR_KEY = "axengine"
+
+CONF_THRESH = 0.65
+IOU_THRESH = 0.45
+STRIDES = [8, 16, 32]
+ANCHORS = [
+    [10, 13, 16, 30, 33, 23],
+    [30, 61, 62, 45, 59, 119],
+    [116, 90, 156, 198, 373, 326],
+]
+
+class AxengineDetectorConfig(BaseDetectorConfig):
+    type: Literal[DETECTOR_KEY]
+
+class Axengine(DetectionApi):
+    type_key = DETECTOR_KEY
+    def __init__(self, config: AxengineDetectorConfig):
+        logger.info("__init__ axengine")
+        super().__init__(config)
+        self.height = config.model.height
+        self.width = config.model.width
+        model_path = config.model.path or "yolov5s_320"
+        self.session = axe.InferenceSession(f"/axmodels/{model_path}.axmodel")
+
+    def __del__(self):
+        pass
+
+    def xywh2xyxy(self, x):
+        # Convert nx4 boxes from [x, y, w, h] to [x1, y1, x2, y2] where xy1=top-left, xy2=bottom-right
+        y = np.copy(x)
+        y[:, 0] = x[:, 0] - x[:, 2] / 2  # top left x
+        y[:, 1] = x[:, 1] - x[:, 3] / 2  # top left y
+        y[:, 2] = x[:, 0] + x[:, 2] / 2  # bottom right x
+        y[:, 3] = x[:, 1] + x[:, 3] / 2  # bottom right y
+        return y
+
+    def bboxes_iou(self, boxes1, boxes2):
+        """calculate the Intersection Over Union value"""
+        boxes1 = np.array(boxes1)
+        boxes2 = np.array(boxes2)
+
+        boxes1_area = (boxes1[..., 2] - boxes1[..., 0]) * (
+            boxes1[..., 3] - boxes1[..., 1]
+        )
+        boxes2_area = (boxes2[..., 2] - boxes2[..., 0]) * (
+            boxes2[..., 3] - boxes2[..., 1]
+        )
+
+        left_up = np.maximum(boxes1[..., :2], boxes2[..., :2])
+        right_down = np.minimum(boxes1[..., 2:], boxes2[..., 2:])
+
+        inter_section = np.maximum(right_down - left_up, 0.0)
+        inter_area = inter_section[..., 0] * inter_section[..., 1]
+        union_area = boxes1_area + boxes2_area - inter_area
+        ious = np.maximum(1.0 * inter_area / union_area, np.finfo(np.float32).eps)
+
+        return ious
+
+    def nms(self, proposals, iou_threshold, conf_threshold, multi_label=False):
+        """
+        :param bboxes: (xmin, ymin, xmax, ymax, score, class)
+
+        Note: soft-nms, https://arxiv.org/pdf/1704.04503.pdf
+            https://github.com/bharatsingh430/soft-nms
+        """
+        xc = proposals[..., 4] > conf_threshold
+        proposals = proposals[xc]
+        proposals[:, 5:] *= proposals[:, 4:5]
+        bboxes = self.xywh2xyxy(proposals[:, :4])
+        if multi_label:
+            mask = proposals[:, 5:] > conf_threshold
+            nonzero_indices = np.argwhere(mask)
+            if nonzero_indices.size < 0:
+                return
+            i, j = nonzero_indices.T
+            bboxes = np.hstack(
+                (bboxes[i], proposals[i, j + 5][:, None], j[:, None].astype(float))
+            )
+        else:
+            confidences = proposals[:, 5:]
+            conf = confidences.max(axis=1, keepdims=True)
+            j = confidences.argmax(axis=1)[:, None]
+
+            new_x_parts = [bboxes, conf, j.astype(float)]
+            bboxes = np.hstack(new_x_parts)
+
+            mask = conf.reshape(-1) > conf_threshold
+            bboxes = bboxes[mask]
+
+        classes_in_img = list(set(bboxes[:, 5]))
+        bboxes = bboxes[bboxes[:, 4].argsort()[::-1][:300]]
+        best_bboxes = []
+
+        for cls in classes_in_img:
+            cls_mask = bboxes[:, 5] == cls
+            cls_bboxes = bboxes[cls_mask]
+
+            while len(cls_bboxes) > 0:
+                max_ind = np.argmax(cls_bboxes[:, 4])
+                best_bbox = cls_bboxes[max_ind]
+                best_bboxes.append(best_bbox)
+                cls_bboxes = np.concatenate(
+                    [cls_bboxes[:max_ind], cls_bboxes[max_ind + 1 :]]
+                )
+                iou = self.bboxes_iou(best_bbox[np.newaxis, :4], cls_bboxes[:, :4])
+                weight = np.ones((len(iou),), dtype=np.float32)
+
+                iou_mask = iou > iou_threshold
+                weight[iou_mask] = 0.0
+
+                cls_bboxes[:, 4] = cls_bboxes[:, 4] * weight
+                score_mask = cls_bboxes[:, 4] > 0.0
+                cls_bboxes = cls_bboxes[score_mask]
+
+        if len(best_bboxes) == 0:
+            return np.empty((0, 6))
+
+        best_bboxes = np.vstack(best_bboxes)
+        best_bboxes = best_bboxes[best_bboxes[:, 4].argsort()[::-1]]
+        return best_bboxes
+
+    def sigmoid(self, x):
+        return np.clip(0.2 * x + 0.5, 0, 1)
+
+    def gen_proposals(self, outputs):
+        new_pred = []
+        anchor_grid = np.array(ANCHORS).reshape(-1, 1, 1, 3, 2)
+        for i, pred in enumerate(outputs):
+            pred = self.sigmoid(pred)
+            n, h, w, c = pred.shape
+
+            pred = pred.reshape(n, h, w, 3, 85)
+            conv_shape = pred.shape
+            output_size = conv_shape[1]
+            conv_raw_dxdy = pred[..., 0:2]
+            conv_raw_dwdh = pred[..., 2:4]
+            xy_grid = np.meshgrid(np.arange(output_size), np.arange(output_size))
+            xy_grid = np.expand_dims(np.stack(xy_grid, axis=-1), axis=2)
+
+            xy_grid = np.tile(np.expand_dims(xy_grid, axis=0), [1, 1, 1, 3, 1])
+            xy_grid = xy_grid.astype(np.float32)
+            pred_xy = (conv_raw_dxdy * 2.0 - 0.5 + xy_grid) * STRIDES[i]
+            pred_wh = (conv_raw_dwdh * 2) ** 2 * anchor_grid[i]
+            pred[:, :, :, :, 0:4] = np.concatenate([pred_xy, pred_wh], axis=-1)
+
+            new_pred.append(np.reshape(pred, (-1, np.shape(pred)[-1])))
+
+        return np.concatenate(new_pred, axis=0)
+
+    def post_processing(self, outputs, input_shape, threshold=0.3):
+        proposals = self.gen_proposals(outputs)
+        bboxes = self.nms(proposals, IOU_THRESH, CONF_THRESH, multi_label=True)
+
+        """
+        bboxes: [x_min, y_min, x_max, y_max, probability, cls_id] format coordinates.
+        """
+
+        results = np.zeros((20, 6), np.float32)
+
+        for i, bbox in enumerate(bboxes):
+            if i >= 20:
+                break
+            coor = np.array(bbox[:4], dtype=np.int32)
+            score = bbox[4]
+            if score < threshold:
+                continue
+            class_ind = int(bbox[5])
+            results[i] = [
+                class_ind,
+                score,
+                max(0, bbox[1]) / input_shape[1],
+                max(0, bbox[0]) / input_shape[0],
+                min(1, bbox[3] / input_shape[1]),
+                min(1, bbox[2] / input_shape[0]),
+            ]
+        return results
+
+    def detect_raw(self, tensor_input):
+        results = None
+        results = self.session.run(None, {"images": tensor_input})
+        return self.post_processing(results, (self.width, self.height))

frigate/detectors/plugins/memryx.py

@@ -17,6 +17,7 @@ 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__)
@@ -177,29 +178,6 @@ 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
@@ -212,9 +190,9 @@ class MemryXDetector(DetectionApi):
             os.makedirs(self.cache_dir, exist_ok=True)
 
         lock_path = os.path.join(self.cache_dir, f".{self.model_folder}.lock")
-        self._acquire_file_lock(lock_path)
+        lock = FileLock(lock_path, timeout=60)
 
-        try:
+        with lock:
             # ---------- CASE 1: user provided a custom model path ----------
             if self.memx_model_path:
                 if not self.memx_model_path.endswith(".zip"):
@@ -338,9 +316,6 @@ 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.path import get_event_thumbnail_bytes
+from frigate.util.file 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
 

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.path import delete_event_snapshot, delete_event_thumbnail
+from frigate.util.file import delete_event_snapshot, delete_event_thumbnail
 
 logger = logging.getLogger(__name__)
 

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

@@ -1,7 +1,6 @@
 import logging
 import os
 import threading
-import time
 from pathlib import Path
 from typing import Callable, List
 
@@ -10,40 +9,11 @@ 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,
@@ -81,15 +51,13 @@ class ModelDownloader:
     def _download_models(self):
         for file_name in self.file_names:
             path = os.path.join(self.download_path, file_name)
-            lock = FileLock(path)
+            lock_path = f"{path}.lock"
+            lock = FileLock(lock_path, cleanup_stale_on_init=True)
 
             if not os.path.exists(path):
-                lock.acquire()
+                with lock:
-                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

@@ -0,0 +1,276 @@
+"""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

@@ -1,62 +0,0 @@
-"""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

@@ -1,6 +1,5 @@
 """RKNN model conversion utility for Frigate."""
 
-import fcntl
 import logging
 import os
 import subprocess
@@ -9,6 +8,8 @@ import time
 from pathlib import Path
 from typing import Optional
 
+from frigate.util.file import FileLock
+
 logger = logging.getLogger(__name__)
 
 MODEL_TYPE_CONFIGS = {
@@ -245,112 +246,6 @@ 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:
@@ -358,6 +253,7 @@ 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
@@ -366,6 +262,8 @@ 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():
@@ -385,11 +283,14 @@ def wait_for_conversion_completion(
                 return False
 
         # Check if lock is stale
-        if is_lock_stale(lock_file_path):
+        if lock.is_stale():
             logger.warning("Lock file is stale, attempting to clean up and retry...")
-            cleanup_stale_lock(lock_file_path)
+            lock._cleanup_stale_lock()
             # Try to acquire lock again
-            if acquire_conversion_lock(lock_file_path, timeout=60):
+            retry_lock = FileLock(
+                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():
@@ -415,7 +316,7 @@ def wait_for_conversion_completion(
                     return False
 
                 finally:
-                    release_conversion_lock(lock_file_path)
+                    retry_lock.release()
 
         logger.debug("Waiting for RKNN model to appear...")
         time.sleep(1)
@@ -452,8 +353,9 @@ 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 acquire_conversion_lock(lock_file_path):
+        if lock.acquire():
             try:
                 if rknn_path.exists():
                     logger.info(
@@ -476,7 +378,7 @@ def auto_convert_model(
                     return None
 
             finally:
-                release_conversion_lock(lock_file_path)
+                lock.release()
         else:
             logger.info(
                 f"Another process is converting {model_path}, waiting for completion..."

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

@@ -1,5 +1,8 @@
 {
   "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",
@@ -7,23 +10,27 @@
     "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": "Successfully deleted {{count}} model(s)",
+      "deletedModel_one": "Successfully deleted {{count}} model",
+      "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": {
@@ -35,6 +42,12 @@
     "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

@@ -6,7 +6,8 @@
   },
   "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/src/components/card/ClassificationCard.tsx

@@ -7,11 +7,12 @@ import {
 } from "@/types/classification";
 import { Event } from "@/types/event";
 import { forwardRef, useMemo, useRef, useState } from "react";
-import { isDesktop, isMobile } from "react-device-detect";
+import { isDesktop, isMobile, isMobileOnly } from "react-device-detect";
 import { useTranslation } from "react-i18next";
 import TimeAgo from "../dynamic/TimeAgo";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
-import { LuSearch } from "react-icons/lu";
+import { Popover, PopoverContent, PopoverTrigger } from "../ui/popover";
+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";
@@ -263,8 +264,8 @@ export function GroupedClassificationCard({
 
   const Overlay = isDesktop ? Dialog : MobilePage;
   const Trigger = isDesktop ? DialogTrigger : MobilePageTrigger;
-  const Header = isDesktop ? DialogHeader : MobilePageHeader;
   const Content = isDesktop ? DialogContent : MobilePageContent;
+  const Header = isDesktop ? DialogHeader : MobilePageHeader;
   const ContentTitle = isDesktop ? DialogTitle : MobilePageTitle;
   const ContentDescription = isDesktop
     ? DialogDescription
@@ -297,9 +298,9 @@ export function GroupedClassificationCard({
         <Trigger asChild></Trigger>
         <Content
           className={cn(
-            "",
+            "scrollbar-container",
             isDesktop && "min-w-[50%] max-w-[65%]",
-            isMobile && "flex flex-col",
+            isMobile && "overflow-y-auto",
           )}
           onOpenAutoFocus={(e) => e.preventDefault()}
         >
@@ -307,28 +308,45 @@ export function GroupedClassificationCard({
             <Header
               className={cn(
                 "mx-2 flex flex-row items-center gap-4",
-                isMobile && "flex-shrink-0",
+                isMobileOnly && "top-0 mx-4",
               )}
             >
-              <div>
+              <div
-                <ContentTitle
+                className={cn(
-                  className={cn(
+                  "",
-                    "flex items-center gap-2 font-normal capitalize",
+                  isMobile && "flex flex-col items-center justify-center",
-                    isMobile && "px-2",
+                )}
-                  )}
+              >
-                >
+                <ContentTitle className="flex items-center gap-2 font-normal capitalize">
                   {event?.sub_label && event.sub_label !== "none"
                     ? event.sub_label
                     : t(noClassificationLabel)}
                   {event?.sub_label && event.sub_label !== "none" && (
-                    <div
+                    <div className="flex items-center gap-1">
-                      className={cn(
+                      <div
-                        "",
+                        className={cn(
-                        bestScoreStatus == "match" && "text-success",
+                          "",
-                        bestScoreStatus == "potential" && "text-orange-400",
+                          bestScoreStatus == "match" && "text-success",
-                        bestScoreStatus == "unknown" && "text-danger",
+                          bestScoreStatus == "potential" && "text-orange-400",
-                      )}
+                          bestScoreStatus == "unknown" && "text-danger",
-                    >{`${Math.round((event.data.sub_label_score || 0) * 100)}%`}</div>
+                        )}
+                      >{`${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")}>
@@ -372,7 +390,7 @@ 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 && "scrollbar-container flex-1 overflow-y-auto",
+                isMobile && "px-4 pb-4",
               )}
             >
               {group.map((data: ClassificationItemData) => (

web/src/components/card/ReviewCard.tsx

@@ -37,6 +37,8 @@ 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";
+import { MdAutoAwesome } from "react-icons/md";
 
 type ReviewCardProps = {
   event: ReviewSegment;
@@ -142,7 +144,7 @@ export default function ReviewCard({
         className={cn(
           "size-full rounded-lg",
           activeReviewItem?.id == event.id &&
-            "outline outline-[3px] outline-offset-1 outline-selected",
+            "outline outline-[3px] -outline-offset-[2.8px] outline-selected duration-200",
           imgLoaded ? "visible" : "invisible",
         )}
         src={`${baseUrl}${event.thumb_path.replace("/media/frigate/", "")}`}
@@ -163,21 +165,33 @@ export default function ReviewCard({
       <div className="flex items-center justify-between">
         <Tooltip>
           <TooltipTrigger asChild>
-            <div className="flex items-center justify-evenly gap-1">
+            <div className="flex items-center gap-2">
-              <>
+              <LuCircle
-                {event.data.objects.map((object) => {
+                className={cn(
-                  return getIconForLabel(
+                  "size-2",
-                    object,
+                  event.severity == "alert"
-                    "size-3 text-primary dark:text-white",
+                    ? "fill-severity_alert text-severity_alert"
-                  );
+                    : "fill-severity_detection text-severity_detection",
-                })}
+                )}
-                {event.data.audio.map((audio) => {
+              />
-                  return getIconForLabel(
+              <div className="flex items-center gap-1">
-                    audio,
+                {event.data.objects.map((object, idx) => (
-                    "size-3 text-primary dark:text-white",
+                  <div
-                  );
+                    key={`${object}-${idx}`}
-                })}
+                    className="rounded-full bg-muted-foreground p-1"
-              </>
+                  >
+                    {getIconForLabel(object, "size-3 text-white")}
+                  </div>
+                ))}
+                {event.data.audio.map((audio, idx) => (
+                  <div
+                    key={`${audio}-${idx}`}
+                    className="rounded-full bg-muted-foreground p-1"
+                  >
+                    {getIconForLabel(audio, "size-3 text-white")}
+                  </div>
+                ))}
+              </div>
               <div className="font-extra-light text-xs">{formattedDate}</div>
             </div>
           </TooltipTrigger>
@@ -204,6 +218,14 @@ export default function ReviewCard({
           dense
         />
       </div>
+      {event.data.metadata?.title && (
+        <div className="flex items-center gap-1.5 rounded bg-secondary/50">
+          <MdAutoAwesome className="size-3 shrink-0 text-primary" />
+          <span className="truncate text-xs text-primary">
+            {event.data.metadata.title}
+          </span>
+        </div>
+      )}
     </div>
   );
 

web/src/components/classification/ClassificationModelEditDialog.tsx

@@ -0,0 +1,477 @@
+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/input/NameAndIdFields.tsx

@@ -8,7 +8,7 @@ import {
   FormMessage,
 } from "@/components/ui/form";
 import { Input } from "@/components/ui/input";
-import { useState, useEffect } from "react";
+import { useState, useEffect, useRef } from "react";
 import { useFormContext } from "react-hook-form";
 import { generateFixedHash, isValidId } from "@/utils/stringUtil";
 import { useTranslation } from "react-i18next";
@@ -25,6 +25,7 @@ type NameAndIdFieldsProps<T extends FieldValues = FieldValues> = {
   processId?: (name: string) => string;
   placeholderName?: string;
   placeholderId?: string;
+  idVisible?: boolean;
 };
 
 export default function NameAndIdFields<T extends FieldValues = FieldValues>({
@@ -39,10 +40,12 @@ export default function NameAndIdFields<T extends FieldValues = FieldValues>({
   processId,
   placeholderName,
   placeholderId,
+  idVisible,
 }: NameAndIdFieldsProps<T>) {
   const { t } = useTranslation(["common"]);
-  const { watch, setValue, trigger } = useFormContext<T>();
+  const { watch, setValue, trigger, formState } = useFormContext<T>();
-  const [isIdVisible, setIsIdVisible] = useState(false);
+  const [isIdVisible, setIsIdVisible] = useState(idVisible ?? false);
+  const hasUserTypedRef = useRef(false);
 
   const defaultProcessId = (name: string) => {
     const normalized = name.replace(/\s+/g, "_").toLowerCase();
@@ -58,6 +61,7 @@ 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);
@@ -66,6 +70,14 @@ 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

@@ -258,6 +258,7 @@ 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/player/VideoControls.tsx

@@ -289,6 +289,7 @@ export default function VideoControls({
           }}
           onUploadFrame={onUploadFrame}
           containerRef={containerRef}
+          fullscreen={fullscreen}
         />
       )}
       {features.fullscreen && toggleFullscreen && (
@@ -306,6 +307,7 @@ type FrigatePlusUploadButtonProps = {
   onClose: () => void;
   onUploadFrame: () => void;
   containerRef?: React.MutableRefObject<HTMLDivElement | null>;
+  fullscreen?: boolean;
 };
 function FrigatePlusUploadButton({
   video,
@@ -313,6 +315,7 @@ function FrigatePlusUploadButton({
   onClose,
   onUploadFrame,
   containerRef,
+  fullscreen,
 }: FrigatePlusUploadButtonProps) {
   const { t } = useTranslation(["components/player"]);
 
@@ -349,7 +352,11 @@ function FrigatePlusUploadButton({
         />
       </AlertDialogTrigger>
       <AlertDialogContent
-        portalProps={{ container: containerRef?.current }}
+        portalProps={
+          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/wizard/Step1NameCamera.tsx

@@ -385,7 +385,7 @@ export default function Step1NameCamera({
                     </FormLabel>
                     <FormControl>
                       <Input
-                        className="h-8"
+                        className="text-md h-8"
                         placeholder={t(
                           "cameraWizard.step1.cameraNamePlaceholder",
                         )}
@@ -475,7 +475,7 @@ export default function Step1NameCamera({
                         </FormLabel>
                         <FormControl>
                           <Input
-                            className="h-8"
+                            className="text-md h-8"
                             placeholder="192.168.1.100"
                             {...field}
                           />
@@ -495,7 +495,7 @@ export default function Step1NameCamera({
                         </FormLabel>
                         <FormControl>
                           <Input
-                            className="h-8"
+                            className="text-md h-8"
                             placeholder={t(
                               "cameraWizard.step1.usernamePlaceholder",
                             )}
@@ -518,7 +518,7 @@ export default function Step1NameCamera({
                         <FormControl>
                           <div className="relative">
                             <Input
-                              className="h-8 pr-10"
+                              className="text-md 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="h-8"
+                          className="text-md h-8"
                           placeholder="rtsp://username:password@host:port/path"
                           {...field}
                         />

web/src/components/timeline/DetailStream.tsx

@@ -22,6 +22,7 @@ import {
   LuChevronRight,
   LuSettings,
 } from "react-icons/lu";
+import { MdAutoAwesome } from "react-icons/md";
 import { getTranslatedLabel } from "@/utils/i18n";
 import EventMenu from "@/components/timeline/EventMenu";
 import { FrigatePlusDialog } from "@/components/overlay/dialog/FrigatePlusDialog";
@@ -367,7 +368,11 @@ function ReviewGroup({
   return (
     <div
       data-review-id={id}
-      className="cursor-pointer rounded-lg bg-secondary py-3"
+      className={`mx-1 cursor-pointer rounded-lg bg-secondary px-0 py-3 outline outline-[2px] -outline-offset-[1.8px] ${
+        isActive
+          ? "shadow-selected outline-selected"
+          : "outline-transparent duration-500"
+      }`}
     >
       <div
         className={cn(
@@ -382,10 +387,10 @@ function ReviewGroup({
         <div className="ml-4 mr-2 mt-1.5 flex flex-row items-start">
           <LuCircle
             className={cn(
-              "size-3",
+              "size-3 duration-500",
-              isActive
+              review.severity == "alert"
-                ? "fill-selected text-selected"
+                ? "fill-severity_alert text-severity_alert"
-                : "fill-muted duration-500 dark:fill-secondary-highlight dark:text-secondary-highlight",
+                : "fill-severity_detection text-severity_detection",
             )}
           />
         </div>
@@ -406,8 +411,9 @@ function ReviewGroup({
             </div>
             <div className="flex flex-col gap-0.5">
               {review.data.metadata?.title && (
-                <div className="mb-1 text-sm text-primary-variant">
+                <div className="mb-1 flex items-center gap-1 text-sm text-primary-variant">
-                  {review.data.metadata.title}
+                  <MdAutoAwesome className="size-3 shrink-0" />
+                  <span className="truncate">{review.data.metadata.title}</span>
                 </div>
               )}
               <div className="flex flex-row items-center gap-1.5">
@@ -454,6 +460,7 @@ function ReviewGroup({
                   <EventList
                     key={event.id}
                     event={event}
+                    review={review}
                     effectiveTime={effectiveTime}
                     annotationOffset={annotationOffset}
                     onSeek={onSeek}
@@ -488,6 +495,7 @@ function ReviewGroup({
 
 type EventListProps = {
   event: Event;
+  review: ReviewSegment;
   effectiveTime?: number;
   annotationOffset: number;
   onSeek: (ts: number, play?: boolean) => void;
@@ -495,6 +503,7 @@ type EventListProps = {
 };
 function EventList({
   event,
+  review,
   effectiveTime,
   annotationOffset,
   onSeek,
@@ -613,6 +622,7 @@ function EventList({
 
         <div className="mt-2">
           <ObjectTimeline
+            review={review}
             eventId={event.id}
             onSeek={handleTimelineClick}
             effectiveTime={effectiveTime}
@@ -761,6 +771,7 @@ function LifecycleItem({
 
 // Fetch and render timeline entries for a single event id on demand.
 function ObjectTimeline({
+  review,
   eventId,
   onSeek,
   effectiveTime,
@@ -768,6 +779,7 @@ function ObjectTimeline({
   startTime,
   endTime,
 }: {
+  review: ReviewSegment;
   eventId: string;
   onSeek: (ts: number, play?: boolean) => void;
   effectiveTime?: number;
@@ -776,13 +788,27 @@ function ObjectTimeline({
   endTime?: number;
 }) {
   const { t } = useTranslation("views/events");
-  const { data: timeline, isValidating } = useSWR<TrackingDetailsSequence[]>([
+  const { data: fullTimeline, isValidating } = useSWR<
+    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/timeline/EventSegment.tsx

@@ -1,4 +1,3 @@
-import { useApiHost } from "@/api";
 import { useTimelineUtils } from "@/hooks/use-timeline-utils";
 import { useEventSegmentUtils } from "@/hooks/use-event-segment-utils";
 import { ReviewSegment, ReviewSeverity } from "@/types/review";
@@ -18,6 +17,7 @@ import { HoverCardPortal } from "@radix-ui/react-hover-card";
 import scrollIntoView from "scroll-into-view-if-needed";
 import { MinimapBounds, Tick, Timestamp } from "./segment-metadata";
 import useTapUtils from "@/hooks/use-tap-utils";
+import ReviewCard from "../card/ReviewCard";
 
 type EventSegmentProps = {
   events: ReviewSegment[];
@@ -54,7 +54,7 @@ export function EventSegment({
     displaySeverityType,
     shouldShowRoundedCorners,
     getEventStart,
-    getEventThumbnail,
+    getEvent,
   } = useEventSegmentUtils(segmentDuration, events, severityType);
 
   const { alignStartDateToTimeline, alignEndDateToTimeline } = useTimelineUtils(
@@ -87,13 +87,11 @@ export function EventSegment({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [getEventStart, segmentTime]);
 
-  const apiHost = useApiHost();
-
   const { handleTouchStart } = useTapUtils();
 
-  const eventThumbnail = useMemo(() => {
+  const segmentEvent = useMemo(() => {
-    return getEventThumbnail(segmentTime);
+    return getEvent(segmentTime);
-  }, [getEventThumbnail, segmentTime]);
+  }, [getEvent, segmentTime]);
 
   const timestamp = useMemo(() => new Date(segmentTime * 1000), [segmentTime]);
   const segmentKey = useMemo(
@@ -252,10 +250,7 @@ export function EventSegment({
                   className="w-[250px] rounded-lg p-2 md:rounded-2xl"
                   side="left"
                 >
-                  <img
+                  {segmentEvent && <ReviewCard event={segmentEvent} />}
-                    className="rounded-lg"
-                    src={`${apiHost}${eventThumbnail.replace("/media/frigate/", "")}`}
-                  />
                 </HoverCardContent>
               </HoverCardPortal>
             </HoverCard>

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: "onChange",
+    mode: "onBlur",
     defaultValues: {
       enabled: true,
       name: initialData?.name ?? trigger?.name ?? "",

web/src/hooks/use-event-segment-utils.ts

@@ -191,8 +191,8 @@ export const useEventSegmentUtils = (
     [events, getSegmentStart, getSegmentEnd, severityType],
   );
 
-  const getEventThumbnail = useCallback(
+  const getEvent = useCallback(
-    (time: number): string => {
+    (time: number): ReviewSegment | undefined => {
       const matchingEvent = events.find((event) => {
         return (
           time >= getSegmentStart(event.start_time) &&
@@ -201,7 +201,7 @@ export const useEventSegmentUtils = (
         );
       });
 
-      return matchingEvent?.thumb_path ?? "";
+      return matchingEvent;
     },
     [events, getSegmentStart, getSegmentEnd, severityType],
   );
@@ -214,6 +214,6 @@ export const useEventSegmentUtils = (
     getReviewed,
     shouldShowRoundedCorners,
     getEventStart,
-    getEventThumbnail,
+    getEvent,
   };
 };

web/src/pages/Settings.tsx

@@ -157,9 +157,11 @@ function MobileMenuItem({
   const { t } = useTranslation(["views/settings"]);
 
   return (
-    <Button
+    <div
-      variant="ghost"
+      className={cn(
-      className={cn("w-full justify-between pr-2", className)}
+        "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,
+      )}
       onClick={() => {
         onSelect(item.key);
         onClose?.();
@@ -167,7 +169,7 @@ function MobileMenuItem({
     >
       <div className="smart-capitalize">{t("menu." + item.key)}</div>
       <LuChevronRight className="size-4" />
-    </Button>
+    </div>
   );
 }
 
@@ -273,6 +275,9 @@ 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"));
@@ -282,6 +287,9 @@ 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/frigateConfig.ts

@@ -306,6 +306,7 @@ export type CustomClassificationModelConfig = {
   threshold: number;
   object_config?: {
     objects: string[];
+    classification_type: string;
   };
   state_config?: {
     cameras: {

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_-]+$/.test(name);
+  return /^[a-zA-Z0-9_-]+$/.test(name) && !/^\d+$/.test(name);
 }

web/src/views/classification/ModelSelectionView.tsx

@@ -1,5 +1,6 @@
 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";
@@ -14,7 +15,7 @@ import { useCallback, useEffect, useMemo, useState } from "react";
 import { useTranslation } from "react-i18next";
 import { FaFolderPlus } from "react-icons/fa";
 import { MdModelTraining } from "react-icons/md";
-import { LuTrash2 } from "react-icons/lu";
+import { LuPencil, LuTrash2 } from "react-icons/lu";
 import { FiMoreVertical } from "react-icons/fi";
 import useSWR from "swr";
 import Heading from "@/components/ui/heading";
@@ -163,6 +164,7 @@ export default function ModelSelectionView({
               key={config.name}
               config={config}
               onClick={() => onClick(config)}
+              onUpdate={() => refreshConfig()}
               onDelete={() => refreshConfig()}
             />
           ))}
@@ -201,9 +203,10 @@ function NoModelsView({
 type ModelCardProps = {
   config: CustomClassificationModelConfig;
   onClick: () => void;
+  onUpdate: () => void;
   onDelete: () => void;
 };
-function ModelCard({ config, onClick, onDelete }: ModelCardProps) {
+function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
   const { t } = useTranslation(["views/classificationModel"]);
 
   const { data: dataset } = useSWR<{
@@ -211,6 +214,7 @@ function ModelCard({ config, onClick, onDelete }: ModelCardProps) {
   }>(`classification/${config.name}/dataset`, { revalidateOnFocus: false });
 
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
+  const [editDialogOpen, setEditDialogOpen] = useState(false);
 
   const handleDelete = useCallback(async () => {
     try {
@@ -250,6 +254,11 @@ function ModelCard({ config, onClick, onDelete }: ModelCardProps) {
     setDeleteDialogOpen(true);
   }, []);
 
+  const handleEditClick = useCallback((e: React.MouseEvent) => {
+    e.stopPropagation();
+    setEditDialogOpen(true);
+  }, []);
+
   const coverImage = useMemo(() => {
     if (!dataset) {
       return undefined;
@@ -270,6 +279,13 @@ function ModelCard({ config, onClick, onDelete }: ModelCardProps) {
 
   return (
     <>
+      <ClassificationModelEditDialog
+        open={editDialogOpen}
+        model={config}
+        onClose={() => setEditDialogOpen(false)}
+        onSuccess={() => onUpdate()}
+      />
+
       <AlertDialog
         open={deleteDialogOpen}
         onOpenChange={() => setDeleteDialogOpen(!deleteDialogOpen)}
@@ -320,6 +336,10 @@ function ModelCard({ config, onClick, onDelete }: ModelCardProps) {
               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>

web/src/views/classification/ModelTrainingView.tsx

@@ -327,31 +327,39 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
       </AlertDialog>
 
       <div className="flex flex-row justify-between gap-2 p-2 align-middle">
-        <div className="flex flex-row items-center justify-center gap-2">
+        {(isDesktop || !selectedImages?.length) && (
-          <Button
+          <div className="flex flex-row items-center justify-center gap-2">
-            className="flex items-center gap-2.5 rounded-lg"
+            <Button
-            aria-label={t("label.back", { ns: "common" })}
+              className="flex items-center gap-2.5 rounded-lg"
-            onClick={() => navigate(-1)}
+              aria-label={t("label.back", { ns: "common" })}
-          >
+              onClick={() => navigate(-1)}
-            <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
+            >
-            {isDesktop && (
+              <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
-              <div className="text-primary">
+              {isDesktop && (
-                {t("button.back", { ns: "common" })}
+                <div className="text-primary">
-              </div>
+                  {t("button.back", { ns: "common" })}
-            )}
+                </div>
-          </Button>
+              )}
-          <LibrarySelector
+            </Button>
-            pageToggle={pageToggle}
+
-            dataset={dataset || {}}
+            <LibrarySelector
-            trainImages={trainImages || []}
+              pageToggle={pageToggle}
-            setPageToggle={setPageToggle}
+              dataset={dataset || {}}
-            onDelete={onDelete}
+              trainImages={trainImages || []}
-            onRename={() => {}}
+              setPageToggle={setPageToggle}
-          />
+              onDelete={onDelete}
-        </div>
+              onRename={() => {}}
+            />
+          </div>
+        )}
         {selectedImages?.length > 0 ? (
-          <div className="flex items-center justify-center gap-2">
+          <div
-            <div className="mx-1 flex w-48 items-center justify-center text-sm text-muted-foreground">
+            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">
               <div className="p-1">{`${selectedImages.length} selected`}</div>
               <div className="p-1">{"|"}</div>
               <div

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) => {
+    (review: ReviewSegment, ctrl: boolean, detail: boolean) => {
       if (selectedReviews.length > 0 || ctrl) {
         const index = selectedReviews.findIndex((r) => r.id === review.id);
 
@@ -156,17 +156,31 @@ 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: review.start_time - REVIEW_PADDING,
+          startTime: effectiveStartTime - 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) {
@@ -402,7 +416,6 @@ export default function EventView({
             onSelectAllReviews={onSelectAllReviews}
             setSelectedReviews={setSelectedReviews}
             pullLatestData={pullLatestData}
-            onOpenRecording={onOpenRecording}
           />
         )}
         {severity == "significant_motion" && (
@@ -442,11 +455,14 @@ type DetectionReviewProps = {
   loading: boolean;
   markItemAsReviewed: (review: ReviewSegment) => void;
   markAllItemsAsReviewed: (currentItems: ReviewSegment[]) => void;
-  onSelectReview: (review: ReviewSegment, ctrl: boolean) => void;
+  onSelectReview: (
+    review: ReviewSegment,
+    ctrl: boolean,
+    detail: boolean,
+  ) => void;
   onSelectAllReviews: () => void;
   setSelectedReviews: (reviews: ReviewSegment[]) => void;
   pullLatestData: () => void;
-  onOpenRecording: (recordingInfo: RecordingStartingPoint) => void;
 };
 function DetectionReview({
   contentRef,
@@ -466,7 +482,6 @@ function DetectionReview({
   onSelectAllReviews,
   setSelectedReviews,
   pullLatestData,
-  onOpenRecording,
 }: DetectionReviewProps) {
   const { t } = useTranslation(["views/events"]);
 
@@ -758,16 +773,7 @@ function DetectionReview({
                           ctrl: boolean,
                           detail: boolean,
                         ) => {
-                          if (detail) {
+                          onSelectReview(review, ctrl, 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

@@ -970,12 +970,11 @@ function Timeline({
         "relative overflow-hidden",
         isDesktop
           ? cn(
-              "no-scrollbar overflow-y-auto",
               timelineType == "timeline"
                 ? "w-[100px] flex-shrink-0"
                 : timelineType == "detail"
                   ? "min-w-[20rem] max-w-[30%] flex-shrink-0 flex-grow-0 basis-[30rem] md:min-w-[20rem] md:max-w-[25%] lg:min-w-[30rem] lg:max-w-[33%]"
-                  : "w-60 flex-shrink-0",
+                  : "w-80 flex-shrink-0",
             )
           : cn(
               timelineType == "timeline"

web/src/views/settings/CameraSettingsView.tsx

@@ -717,11 +717,11 @@ 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.cancel", { ns: "common" })}
+                      aria-label={t("button.reset", { ns: "common" })}
                       onClick={onCancel}
                       type="button"
                     >
-                      <Trans>button.cancel</Trans>
+                      <Trans>button.reset</Trans>
                     </Button>
                     <Button
                       variant="select"