Merge remote-tracking branch 'upstream/dev' into dev

.github/workflows/ci.yml

@@ -75,15 +75,6 @@ jobs:
             rpi.tags=${{ steps.setup.outputs.image-name }}-rpi
             *.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64
             *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64,mode=max
-      - name: Build and push Rockchip build
-        uses: docker/bake-action@v3
-        with:
-          push: true
-          targets: rk
-          files: docker/rockchip/rk.hcl
-          set: |
-            rk.tags=${{ steps.setup.outputs.image-name }}-rk
-            *.cache-from=type=gha
   jetson_jp4_build:
     runs-on: ubuntu-latest
     name: Jetson Jetpack 4

.github/workflows/pull_request.yml

@@ -76,7 +76,7 @@ jobs:
         with:
           persist-credentials: false
       - name: Set up Python ${{ env.DEFAULT_PYTHON }}
-        uses: actions/setup-python@v5.1.0
+        uses: actions/setup-python@v5.3.0
         with:
           python-version: ${{ env.DEFAULT_PYTHON }}
       - name: Install requirements

docker/hailo8l/requirements-wheels-h8l.txt

@@ -1,12 +1,12 @@
-appdirs==1.4.4
+appdirs==1.4.*
-argcomplete==2.0.0
+argcomplete==2.0.*
-contextlib2==0.6.0.post1
+contextlib2==0.6.*
-distlib==0.3.6
+distlib==0.3.*
-filelock==3.8.0
+filelock==3.8.*
-future==0.18.2
+future==0.18.*
-importlib-metadata==5.1.0
+importlib-metadata==5.1.*
-importlib-resources==5.1.2
+importlib-resources==5.1.*
-netaddr==0.8.0
+netaddr==0.8.*
-netifaces==0.10.9
+netifaces==0.10.*
-verboselogs==1.7
+verboselogs==1.7.*
-virtualenv==20.17.0
+virtualenv==20.17.*

docker/tensorrt/Dockerfile.amd64

@@ -12,26 +12,11 @@ ARG TARGETARCH
 COPY docker/tensorrt/requirements-amd64.txt /requirements-tensorrt.txt
 RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r /requirements-tensorrt.txt
 
-# Build CuDNN
-FROM wget AS cudnn-deps
-
-ARG COMPUTE_LEVEL
-
-RUN apt-get update \
-    && apt-get install -y git build-essential
-
-RUN wget https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.1-1_all.deb \
-&& dpkg -i cuda-keyring_1.1-1_all.deb \
-&& apt-get update \
-&& apt-get -y install cuda-toolkit \
-&& rm -rf /var/lib/apt/lists/*
-
 FROM tensorrt-base AS frigate-tensorrt
 ENV TRT_VER=8.5.3
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
     pip3 install -U /deps/trt-wheels/*.whl && \
     ldconfig
-COPY --from=cudnn-deps /usr/local/cuda-12.6 /usr/local/cuda
 
 ENV LD_LIBRARY_PATH=/usr/local/lib/python3.9/dist-packages/tensorrt:/usr/local/cuda/lib64:/usr/local/lib/python3.9/dist-packages/nvidia/cufft/lib
 WORKDIR /opt/frigate/
@@ -42,7 +27,7 @@ FROM devcontainer AS devcontainer-trt
 
 COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
 COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
-COPY --from=cudnn-deps /usr/local/cuda-12.6 /usr/local/cuda
+COPY --from=trt-deps /usr/local/cuda-12.1 /usr/local/cuda
 COPY docker/tensorrt/detector/rootfs/ /
 COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \

docker/tensorrt/Dockerfile.base

@@ -24,6 +24,7 @@ ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
 
 COPY --from=trt-deps /usr/local/lib/libyolo_layer.so /usr/local/lib/libyolo_layer.so
 COPY --from=trt-deps /usr/local/src/tensorrt_demos /usr/local/src/tensorrt_demos
+COPY --from=trt-deps /usr/local/cuda-12.* /usr/local/cuda
 COPY docker/tensorrt/detector/rootfs/ /
 ENV YOLO_MODELS=""
 

docs/docs/configuration/autotracking.md

@@ -41,6 +41,7 @@ cameras:
     ...
     onvif:
       # Required: host of the camera being connected to.
+      # NOTE: HTTP is assumed by default; HTTPS is supported if you specify the scheme, ex: "https://0.0.0.0".
       host: 0.0.0.0
       # Optional: ONVIF port for device (default: shown below).
       port: 8000
@@ -49,6 +50,8 @@ cameras:
       user: admin
       # Optional: password for login.
       password: admin
+      # Optional: Skip TLS verification from the ONVIF server (default: shown below)
+      tls_insecure: False
       # Optional: PTZ camera object autotracking. Keeps a moving object in
       # the center of the frame by automatically moving the PTZ camera.
       autotracking:

docs/docs/configuration/object_detectors.md

@@ -144,7 +144,9 @@ detectors:
 
 #### SSDLite MobileNet v2
 
-An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. Use the model configuration shown below when using the OpenVINO detector with the default model.
+An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. 
+
+Use the model configuration shown below when using the OpenVINO detector with the default OpenVINO model:
 
 ```yaml
 detectors:
@@ -254,6 +256,7 @@ yolov4x-mish-640
 yolov7-tiny-288
 yolov7-tiny-416
 yolov7-640
+yolov7-416
 yolov7-320
 yolov7x-640
 yolov7x-320
@@ -282,6 +285,8 @@ The TensorRT detector can be selected by specifying `tensorrt` as the model type
 
 The TensorRT detector uses `.trt` model files that are located in `/config/model_cache/tensorrt` by default. These model path and dimensions used will depend on which model you have generated.
 
+Use the config below to work with generated TRT models:
+
 ```yaml
 detectors:
   tensorrt:

docs/docs/configuration/reference.md

@@ -117,25 +117,27 @@ auth:
   hash_iterations: 600000
 
 # Optional: model modifications
+# NOTE: The default values are for the EdgeTPU detector.
+# Other detectors will require the model config to be set.
 model:
-  # Optional: path to the model (default: automatic based on detector)
+  # Required: path to the model (default: automatic based on detector)
   path: /edgetpu_model.tflite
-  # Optional: path to the labelmap (default: shown below)
+  # Required: path to the labelmap (default: shown below)
   labelmap_path: /labelmap.txt
   # Required: Object detection model input width (default: shown below)
   width: 320
   # Required: Object detection model input height (default: shown below)
   height: 320
-  # Optional: Object detection model input colorspace
+  # Required: Object detection model input colorspace
   # Valid values are rgb, bgr, or yuv. (default: shown below)
   input_pixel_format: rgb
-  # Optional: Object detection model input tensor format
+  # Required: Object detection model input tensor format
   # Valid values are nhwc or nchw (default: shown below)
   input_tensor: nhwc
-  # Optional: Object detection model type, currently only used with the OpenVINO detector
+  # Required: Object detection model type, currently only used with the OpenVINO detector
   # Valid values are ssd, yolox, yolonas (default: shown below)
   model_type: ssd
-  # Optional: Label name modifications. These are merged into the standard labelmap.
+  # Required: Label name modifications. These are merged into the standard labelmap.
   labelmap:
     2: vehicle
   # Optional: Map of object labels to their attribute labels (default: depends on model)
@@ -686,6 +688,7 @@ cameras:
     # to enable PTZ controls.
     onvif:
       # Required: host of the camera being connected to.
+      # NOTE: HTTP is assumed by default; HTTPS is supported if you specify the scheme, ex: "https://0.0.0.0".
       host: 0.0.0.0
       # Optional: ONVIF port for device (default: shown below).
       port: 8000
@@ -694,6 +697,8 @@ cameras:
       user: admin
       # Optional: password for login.
       password: admin
+      # Optional: Skip TLS verification from the ONVIF server (default: shown below)
+      tls_insecure: False
       # Optional: Ignores time synchronization mismatches between the camera and the server during authentication.
       # Using NTP on both ends is recommended and this should only be set to True in a "safe" environment due to the security risk it represents.
       ignore_time_mismatch: False
@@ -757,6 +762,8 @@ cameras:
         - cat
       # Optional: Restrict generation to objects that entered any of the listed zones (default: none, all zones qualify)
       required_zones: []
+      # Optional: Save thumbnails sent to generative AI for review/debugging purposes (default: shown below)
+      debug_save_thumbnails: False
 
 # Optional
 ui:

docs/package.json

@@ -17,15 +17,15 @@
     "write-heading-ids": "docusaurus write-heading-ids"
   },
   "dependencies": {
-    "@docusaurus/core": "^3.5.2",
+    "@docusaurus/core": "^3.6.3",
-    "@docusaurus/preset-classic": "^3.5.2",
+    "@docusaurus/preset-classic": "^3.6.3",
-    "@docusaurus/theme-mermaid": "^3.5.2",
+    "@docusaurus/theme-mermaid": "^3.6.3",
-    "@docusaurus/plugin-content-docs": "^3.5.2",
+    "@docusaurus/plugin-content-docs": "^3.6.3",
-    "@mdx-js/react": "^3.0.1",
+    "@mdx-js/react": "^3.1.0",
     "clsx": "^2.1.1",
-    "docusaurus-plugin-openapi-docs": "^4.1.0",
+    "docusaurus-plugin-openapi-docs": "^4.3.1",
-    "docusaurus-theme-openapi-docs": "^4.1.0",
+    "docusaurus-theme-openapi-docs": "^4.3.1",
-    "prism-react-renderer": "^2.4.0",
+    "prism-react-renderer": "^2.4.1",
     "raw-loader": "^4.0.2",
     "react": "^18.3.1",
     "react-dom": "^18.3.1"

frigate/api/app.py

@@ -139,6 +139,8 @@ def config(request: Request):
         mode="json", warnings="none", exclude_none=True
     )
     for stream_name, stream in go2rtc.get("streams", {}).items():
+        if stream is None:
+            continue
         if isinstance(stream, str):
             cleaned = clean_camera_user_pass(stream)
         else:

frigate/app.py

@@ -437,7 +437,7 @@ class FrigateApp:
             # pre-create shms
             for i in range(shm_frame_count):
                 frame_size = config.frame_shape_yuv[0] * config.frame_shape_yuv[1]
-                self.frame_manager.create(f"{config.name}_{i}", frame_size)
+                self.frame_manager.create(f"{config.name}_frame{i}", frame_size)
 
             capture_process = util.Process(
                 target=capture_camera,

frigate/config/camera/genai.py

@@ -38,6 +38,10 @@ class GenAICameraConfig(BaseModel):
         default_factory=list,
         title="List of required zones to be entered in order to run generative AI.",
     )
+    debug_save_thumbnails: bool = Field(
+        default=False,
+        title="Save thumbnails sent to generative AI for debugging purposes.",
+    )
 
     @field_validator("required_zones", mode="before")
     @classmethod

frigate/config/camera/onvif.py

@@ -74,6 +74,7 @@ class OnvifConfig(FrigateBaseModel):
     port: int = Field(default=8000, title="Onvif Port")
     user: Optional[EnvString] = Field(default=None, title="Onvif Username")
     password: Optional[EnvString] = Field(default=None, title="Onvif Password")
+    tls_insecure: bool = Field(default=False, title="Onvif Disable TLS verification")
     autotracking: PtzAutotrackConfig = Field(
         default_factory=PtzAutotrackConfig,
         title="PTZ auto tracking config.",

frigate/config/camera/record.py

@@ -4,6 +4,7 @@ from typing import Optional
 from pydantic import Field
 
 from frigate.const import MAX_PRE_CAPTURE
+from frigate.review.types import SeverityEnum
 
 from ..base import FrigateBaseModel
 
@@ -101,3 +102,15 @@ class RecordConfig(FrigateBaseModel):
             self.alerts.pre_capture,
             self.detections.pre_capture,
         )
+
+    def get_review_pre_capture(self, severity: SeverityEnum) -> int:
+        if severity == SeverityEnum.alert:
+            return self.alerts.pre_capture
+        else:
+            return self.detections.pre_capture
+
+    def get_review_post_capture(self, severity: SeverityEnum) -> int:
+        if severity == SeverityEnum.alert:
+            return self.alerts.post_capture
+        else:
+            return self.detections.post_capture

frigate/embeddings/maintainer.py

@@ -5,6 +5,7 @@ import logging
 import os
 import threading
 from multiprocessing.synchronize import Event as MpEvent
+from pathlib import Path
 from typing import Optional
 
 import cv2
@@ -217,6 +218,8 @@ class EmbeddingMaintainer(threading.Thread):
                             _, buffer = cv2.imencode(".jpg", cropped_image)
                             snapshot_image = buffer.tobytes()
 
+                    num_thumbnails = len(self.tracked_events.get(event_id, []))
+
                     embed_image = (
                         [snapshot_image]
                         if event.has_snapshot and camera_config.genai.use_snapshot
@@ -225,11 +228,37 @@ class EmbeddingMaintainer(threading.Thread):
                                 data["thumbnail"]
                                 for data in self.tracked_events[event_id]
                             ]
-                            if len(self.tracked_events.get(event_id, [])) > 0
+                            if num_thumbnails > 0
                             else [thumbnail]
                         )
                     )
 
+                    if camera_config.genai.debug_save_thumbnails and num_thumbnails > 0:
+                        logger.debug(
+                            f"Saving {num_thumbnails} thumbnails for event {event.id}"
+                        )
+
+                        Path(
+                            os.path.join(CLIPS_DIR, f"genai-requests/{event.id}")
+                        ).mkdir(parents=True, exist_ok=True)
+
+                        for idx, data in enumerate(self.tracked_events[event_id], 1):
+                            jpg_bytes: bytes = data["thumbnail"]
+
+                            if jpg_bytes is None:
+                                logger.warning(
+                                    f"Unable to save thumbnail {idx} for {event.id}."
+                                )
+                            else:
+                                with open(
+                                    os.path.join(
+                                        CLIPS_DIR,
+                                        f"genai-requests/{event.id}/{idx}.jpg",
+                                    ),
+                                    "wb",
+                                ) as j:
+                                    j.write(jpg_bytes)
+
                     # Generate the description. Call happens in a thread since it is network bound.
                     threading.Thread(
                         target=self._embed_description,

frigate/events/cleanup.py

@@ -121,8 +121,8 @@ class EventCleanup(threading.Thread):
 
             events_to_update = []
 
-            for batch in query.iterator():
+            for event in query.iterator():
-                events_to_update.extend([event.id for event in batch])
+                events_to_update.append(event.id)
                 if len(events_to_update) >= CHUNK_SIZE:
                     logger.debug(
                         f"Updating {update_params} for {len(events_to_update)} events"
@@ -257,7 +257,7 @@ class EventCleanup(threading.Thread):
         events_to_update = []
 
         for event in query.iterator():
-            events_to_update.append(event)
+            events_to_update.append(event.id)
 
             if len(events_to_update) >= CHUNK_SIZE:
                 logger.debug(

frigate/ptz/onvif.py

@@ -6,6 +6,7 @@ from importlib.util import find_spec
 from pathlib import Path
 
 import numpy
+import requests
 from onvif import ONVIFCamera, ONVIFError
 from zeep.exceptions import Fault, TransportError
 from zeep.transports import Transport
@@ -48,7 +49,11 @@ class OnvifController:
 
             if cam.onvif.host:
                 try:
-                    transport = Transport(timeout=10, operation_timeout=10)
+                    session = requests.Session()
+                    session.verify = not cam.onvif.tls_insecure
+                    transport = Transport(
+                        timeout=10, operation_timeout=10, session=session
+                    )
                     self.cams[cam_name] = {
                         "onvif": ONVIFCamera(
                             cam.onvif.host,
@@ -558,22 +563,26 @@ class OnvifController:
             if not self._init_onvif(camera_name):
                 return
 
-        if command == OnvifCommandEnum.init:
+        try:
-            # already init
+            if command == OnvifCommandEnum.init:
-            return
+                # already init
-        elif command == OnvifCommandEnum.stop:
+                return
-            self._stop(camera_name)
+            elif command == OnvifCommandEnum.stop:
-        elif command == OnvifCommandEnum.preset:
+                self._stop(camera_name)
-            self._move_to_preset(camera_name, param)
+            elif command == OnvifCommandEnum.preset:
-        elif command == OnvifCommandEnum.move_relative:
+                self._move_to_preset(camera_name, param)
-            _, pan, tilt = param.split("_")
+            elif command == OnvifCommandEnum.move_relative:
-            self._move_relative(camera_name, float(pan), float(tilt), 0, 1)
+                _, pan, tilt = param.split("_")
-        elif (
+                self._move_relative(camera_name, float(pan), float(tilt), 0, 1)
-            command == OnvifCommandEnum.zoom_in or command == OnvifCommandEnum.zoom_out
+            elif (
-        ):
+                command == OnvifCommandEnum.zoom_in
-            self._zoom(camera_name, command)
+                or command == OnvifCommandEnum.zoom_out
-        else:
+            ):
-            self._move(camera_name, command)
+                self._zoom(camera_name, command)
+            else:
+                self._move(camera_name, command)
+        except ONVIFError as e:
+            logger.error(f"Unable to handle onvif command: {e}")
 
     def get_camera_info(self, camera_name: str) -> dict[str, any]:
         if camera_name not in self.cams.keys():

frigate/record/maintainer.py

@@ -29,6 +29,7 @@ from frigate.const import (
     RECORD_DIR,
 )
 from frigate.models import Recordings, ReviewSegment
+from frigate.review.types import SeverityEnum
 from frigate.util.services import get_video_properties
 
 logger = logging.getLogger(__name__)
@@ -194,6 +195,7 @@ class RecordingMaintainer(threading.Thread):
                 ReviewSegment.select(
                     ReviewSegment.start_time,
                     ReviewSegment.end_time,
+                    ReviewSegment.severity,
                     ReviewSegment.data,
                 )
                 .where(
@@ -219,11 +221,15 @@ class RecordingMaintainer(threading.Thread):
             [r for r in recordings_to_insert if r is not None],
         )
 
+    def drop_segment(self, cache_path: str) -> None:
+        Path(cache_path).unlink(missing_ok=True)
+        self.end_time_cache.pop(cache_path, None)
+
     async def validate_and_move_segment(
         self, camera: str, reviews: list[ReviewSegment], recording: dict[str, any]
     ) -> None:
-        cache_path = recording["cache_path"]
+        cache_path: str = recording["cache_path"]
-        start_time = recording["start_time"]
+        start_time: datetime.datetime = recording["start_time"]
         record_config = self.config.cameras[camera].record
 
         # Just delete files if recordings are turned off
@@ -231,8 +237,7 @@ class RecordingMaintainer(threading.Thread):
             camera not in self.config.cameras
             or not self.config.cameras[camera].record.enabled
         ):
-            Path(cache_path).unlink(missing_ok=True)
+            self.drop_segment(cache_path)
-            self.end_time_cache.pop(cache_path, None)
             return
 
         if cache_path in self.end_time_cache:
@@ -260,24 +265,34 @@ class RecordingMaintainer(threading.Thread):
                 return
 
         # if cached file's start_time is earlier than the retain days for the camera
+        # meaning continuous recording is not enabled
         if start_time <= (
             datetime.datetime.now().astimezone(datetime.timezone.utc)
             - datetime.timedelta(days=self.config.cameras[camera].record.retain.days)
         ):
-            # if the cached segment overlaps with the events:
+            # if the cached segment overlaps with the review items:
             overlaps = False
             for review in reviews:
-                # if the event starts in the future, stop checking events
+                severity = SeverityEnum[review.severity]
+
+                # if the review item starts in the future, stop checking review items
                 # and remove this segment
-                if review.start_time > end_time.timestamp():
+                if (
+                    review.start_time - record_config.get_review_pre_capture(severity)
+                ) > end_time.timestamp():
                     overlaps = False
-                    Path(cache_path).unlink(missing_ok=True)
-                    self.end_time_cache.pop(cache_path, None)
                     break
 
-                # if the event is in progress or ends after the recording starts, keep it
+                # if the review item is in progress or ends after the recording starts, keep it
-                # and stop looking at events
+                # and stop looking at review items
-                if review.end_time is None or review.end_time >= start_time.timestamp():
+                if (
+                    review.end_time is None
+                    or (
+                        review.end_time
+                        + record_config.get_review_post_capture(severity)
+                    )
+                    >= start_time.timestamp()
+                ):
                     overlaps = True
                     break
 
@@ -296,7 +311,7 @@ class RecordingMaintainer(threading.Thread):
                     cache_path,
                     record_mode,
                 )
-            # if it doesn't overlap with an event, go ahead and drop the segment
+            # if it doesn't overlap with an review item, go ahead and drop the segment
             # if it ends more than the configured pre_capture for the camera
             else:
                 camera_info = self.object_recordings_info[camera]
@@ -307,9 +322,9 @@ class RecordingMaintainer(threading.Thread):
                     most_recently_processed_frame_time - record_config.event_pre_capture
                 ).astimezone(datetime.timezone.utc)
                 if end_time < retain_cutoff:
-                    Path(cache_path).unlink(missing_ok=True)
+                    self.drop_segment(cache_path)
-                    self.end_time_cache.pop(cache_path, None)
         # else retain days includes this segment
+        # meaning continuous recording is enabled
         else:
             # assume that empty means the relevant recording info has not been received yet
             camera_info = self.object_recordings_info[camera]
@@ -390,8 +405,7 @@ class RecordingMaintainer(threading.Thread):
 
         # check if the segment shouldn't be stored
         if segment_info.should_discard_segment(store_mode):
-            Path(cache_path).unlink(missing_ok=True)
+            self.drop_segment(cache_path)
-            self.end_time_cache.pop(cache_path, None)
             return
 
         # directory will be in utc due to start_time being in utc

frigate/stats/util.py

@@ -293,7 +293,7 @@ def stats_snapshot(
     for path in [RECORD_DIR, CLIPS_DIR, CACHE_DIR, "/dev/shm"]:
         try:
             storage_stats = shutil.disk_usage(path)
-        except FileNotFoundError:
+        except (FileNotFoundError, OSError):
             stats["service"]["storage"][path] = {}
             continue
 

frigate/video.py

@@ -113,7 +113,7 @@ def capture_frames(
         fps.value = frame_rate.eps()
         skipped_fps.value = skipped_eps.eps()
         current_frame.value = datetime.datetime.now().timestamp()
-        frame_name = f"{config.name}_{frame_index}"
+        frame_name = f"{config.name}_frame{frame_index}"
         frame_buffer = frame_manager.write(frame_name)
         try:
             frame_buffer[:] = ffmpeg_process.stdout.read(frame_size)

web/src/components/filter/CameraGroupSelector.tsx

@@ -755,7 +755,11 @@ export function CameraGroupEdit({
                 <FormMessage />
                 {[
                   ...(birdseyeConfig?.enabled ? ["birdseye"] : []),
-                  ...Object.keys(config?.cameras ?? {}),
+                  ...Object.keys(config?.cameras ?? {}).sort(
+                    (a, b) =>
+                      (config?.cameras[a]?.ui?.order ?? 0) -
+                      (config?.cameras[b]?.ui?.order ?? 0),
+                  ),
                 ].map((camera) => (
                   <FormControl key={camera}>
                     <FilterSwitch

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

@@ -477,7 +477,10 @@ export default function ObjectLifecycle({
                           </p>
                           {Array.isArray(item.data.box) &&
                           item.data.box.length >= 4
-                            ? (item.data.box[2] / item.data.box[3]).toFixed(2)
+                            ? (
+                                aspectRatio *
+                                (item.data.box[2] / item.data.box[3])
+                              ).toFixed(2)
                             : "N/A"}
                         </div>
                       </div>

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

@@ -505,45 +505,46 @@ function ObjectDetailsTab({
 
         <div className="flex w-full flex-row justify-end gap-2">
           {config?.cameras[search.camera].genai.enabled && search.end_time && (
-            <>
+            <div className="flex items-start">
-              <div className="flex items-start">
+              <Button
-                <Button
+                className="rounded-r-none border-r-0"
-                  className="rounded-r-none border-r-0"
+                aria-label="Regenerate tracked object description"
-                  aria-label="Regenerate tracked object description"
+                onClick={() => regenerateDescription("thumbnails")}
-                  onClick={() => regenerateDescription("thumbnails")}
+              >
-                >
+                Regenerate
-                  Regenerate
+              </Button>
-                </Button>
+              {search.has_snapshot && (
-                {search.has_snapshot && (
+                <DropdownMenu>
-                  <DropdownMenu>
+                  <DropdownMenuTrigger asChild>
-                    <DropdownMenuTrigger asChild>
+                    <Button
-                      <Button
+                      className="rounded-l-none border-l-0 px-2"
-                        className="rounded-l-none border-l-0 px-2"
+                      aria-label="Expand regeneration menu"
-                        aria-label="Expand regeneration menu"
+                    >
-                      >
+                      <FaChevronDown className="size-3" />
-                        <FaChevronDown className="size-3" />
+                    </Button>
-                      </Button>
+                  </DropdownMenuTrigger>
-                    </DropdownMenuTrigger>
+                  <DropdownMenuContent>
-                    <DropdownMenuContent>
+                    <DropdownMenuItem
-                      <DropdownMenuItem
+                      className="cursor-pointer"
-                        className="cursor-pointer"
+                      aria-label="Regenerate from snapshot"
-                        aria-label="Regenerate from snapshot"
+                      onClick={() => regenerateDescription("snapshot")}
-                        onClick={() => regenerateDescription("snapshot")}
+                    >
-                      >
+                      Regenerate from Snapshot
-                        Regenerate from Snapshot
+                    </DropdownMenuItem>
-                      </DropdownMenuItem>
+                    <DropdownMenuItem
-                      <DropdownMenuItem
+                      className="cursor-pointer"
-                        className="cursor-pointer"
+                      aria-label="Regenerate from thumbnails"
-                        aria-label="Regenerate from thumbnails"
+                      onClick={() => regenerateDescription("thumbnails")}
-                        onClick={() => regenerateDescription("thumbnails")}
+                    >
-                      >
+                      Regenerate from Thumbnails
-                        Regenerate from Thumbnails
+                    </DropdownMenuItem>
-                      </DropdownMenuItem>
+                  </DropdownMenuContent>
-                    </DropdownMenuContent>
+                </DropdownMenu>
-                  </DropdownMenu>
+              )}
-                )}
+            </div>
-              </div>
+          )}
-
+          {(config?.cameras[search.camera].genai.enabled && search.end_time) ||
+            (!config?.cameras[search.camera].genai.enabled && (
               <Button
                 variant="select"
                 aria-label="Save"
@@ -551,8 +552,7 @@ function ObjectDetailsTab({
               >
                 Save
               </Button>
-            </>
+            ))}
-          )}
         </div>
       </div>
     </div>

web/src/components/settings/SearchSettings.tsx

@@ -46,7 +46,7 @@ export default function SearchSettings({
   const trigger = (
     <Button
       className="flex items-center gap-2"
-      aria-label="Search Settings"
+      aria-label="Explore Settings"
       size="sm"
     >
       <FaCog className="text-secondary-foreground" />

web/src/pages/Explore.tsx

@@ -328,12 +328,12 @@ export default function Explore() {
           <div className="flex max-w-96 flex-col items-center justify-center space-y-3 rounded-lg bg-background/50 p-5">
             <div className="my-5 flex flex-col items-center gap-2 text-xl">
               <TbExclamationCircle className="mb-3 size-10" />
-              <div>Search Unavailable</div>
+              <div>Explore is Unavailable</div>
             </div>
             {embeddingsReindexing && allModelsLoaded && (
               <>
                 <div className="text-center text-primary-variant">
-                  Search can be used after tracked object embeddings have
+                  Explore can be used after tracked object embeddings have
                   finished reindexing.
                 </div>
                 <div className="pt-5 text-center">
@@ -384,8 +384,8 @@ export default function Explore() {
               <>
                 <div className="text-center text-primary-variant">
                   Frigate is downloading the necessary embeddings models to
-                  support semantic searching. This may take several minutes
+                  support the Semantic Search feature. This may take several
-                  depending on the speed of your network connection.
+                  minutes depending on the speed of your network connection.
                 </div>
                 <div className="flex w-96 flex-col gap-2 py-5">
                   <div className="flex flex-row items-center justify-center gap-2">

web/src/pages/Settings.tsx

@@ -40,7 +40,7 @@ import UiSettingsView from "@/views/settings/UiSettingsView";
 
 const allSettingsViews = [
   "UI settings",
-  "search settings",
+  "explore settings",
   "camera settings",
   "masks / zones",
   "motion tuner",
@@ -175,7 +175,7 @@ export default function Settings() {
       </div>
       <div className="mt-2 flex h-full w-full flex-col items-start md:h-dvh md:pb-24">
         {page == "UI settings" && <UiSettingsView />}
-        {page == "search settings" && (
+        {page == "explore settings" && (
           <SearchSettingsView setUnsavedChanges={setUnsavedChanges} />
         )}
         {page == "debug" && (

web/src/types/frigateConfig.ts

@@ -142,6 +142,7 @@ export interface CameraConfig {
     password: string | null;
     port: number;
     user: string | null;
+    tls_insecure: boolean;
   };
   record: {
     enabled: boolean;

web/src/views/live/LiveCameraView.tsx

@@ -17,7 +17,12 @@ import {
   DropdownMenuItem,
   DropdownMenuTrigger,
 } from "@/components/ui/dropdown-menu";
-import { TooltipProvider } from "@/components/ui/tooltip";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipProvider,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
 import { useResizeObserver } from "@/hooks/resize-observer";
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import { CameraConfig, FrigateConfig } from "@/types/frigateConfig";
@@ -29,6 +34,7 @@ import {
 import { CameraPtzInfo } from "@/types/ptz";
 import { RecordingStartingPoint } from "@/types/record";
 import React, {
+  ReactNode,
   useCallback,
   useEffect,
   useMemo,
@@ -518,6 +524,53 @@ export default function LiveCameraView({
   );
 }
 
+type TooltipButtonProps = {
+  label: string;
+  onClick?: () => void;
+  onMouseDown?: (e: React.MouseEvent) => void;
+  onMouseUp?: (e: React.MouseEvent) => void;
+  onTouchStart?: (e: React.TouchEvent) => void;
+  onTouchEnd?: (e: React.TouchEvent) => void;
+  children: ReactNode;
+  className?: string;
+};
+
+function TooltipButton({
+  label,
+  onClick,
+  onMouseDown,
+  onMouseUp,
+  onTouchStart,
+  onTouchEnd,
+  children,
+  className,
+  ...props
+}: TooltipButtonProps) {
+  return (
+    <TooltipProvider>
+      <Tooltip>
+        <TooltipTrigger asChild>
+          <Button
+            aria-label={label}
+            onClick={onClick}
+            onMouseDown={onMouseDown}
+            onMouseUp={onMouseUp}
+            onTouchStart={onTouchStart}
+            onTouchEnd={onTouchEnd}
+            className={className}
+            {...props}
+          >
+            {children}
+          </Button>
+        </TooltipTrigger>
+        <TooltipContent>
+          <p>{label}</p>
+        </TooltipContent>
+      </Tooltip>
+    </TooltipProvider>
+  );
+}
+
 function PtzControlPanel({
   camera,
   clickOverlay,
@@ -611,8 +664,8 @@ function PtzControlPanel({
     >
       {ptz?.features?.includes("pt") && (
         <>
-          <Button
+          <TooltipButton
-            aria-label="Move PTZ camera to the left"
+            label="Move camera left"
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("MOVE_LEFT");
@@ -625,9 +678,9 @@ function PtzControlPanel({
             onTouchEnd={onStop}
           >
             <FaAngleLeft />
-          </Button>
+          </TooltipButton>
-          <Button
+          <TooltipButton
-            aria-label="Move PTZ camera up"
+            label="Move camera up"
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("MOVE_UP");
@@ -640,9 +693,9 @@ function PtzControlPanel({
             onTouchEnd={onStop}
           >
             <FaAngleUp />
-          </Button>
+          </TooltipButton>
-          <Button
+          <TooltipButton
-            aria-label="Move PTZ camera down"
+            label="Move camera down"
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("MOVE_DOWN");
@@ -655,9 +708,9 @@ function PtzControlPanel({
             onTouchEnd={onStop}
           >
             <FaAngleDown />
-          </Button>
+          </TooltipButton>
-          <Button
+          <TooltipButton
-            aria-label="Move PTZ camera to the right"
+            label="Move camera right"
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("MOVE_RIGHT");
@@ -670,13 +723,13 @@ function PtzControlPanel({
             onTouchEnd={onStop}
           >
             <FaAngleRight />
-          </Button>
+          </TooltipButton>
         </>
       )}
       {ptz?.features?.includes("zoom") && (
         <>
-          <Button
+          <TooltipButton
-            aria-label="Zoom PTZ camera in"
+            label="Zoom in"
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("ZOOM_IN");
@@ -689,9 +742,9 @@ function PtzControlPanel({
             onTouchEnd={onStop}
           >
             <MdZoomIn />
-          </Button>
+          </TooltipButton>
-          <Button
+          <TooltipButton
-            aria-label="Zoom PTZ camera out"
+            label="Zoom out"
             onMouseDown={(e) => {
               e.preventDefault();
               sendPtz("ZOOM_OUT");
@@ -704,45 +757,60 @@ function PtzControlPanel({
             onTouchEnd={onStop}
           >
             <MdZoomOut />
-          </Button>
+          </TooltipButton>
         </>
       )}
+
       {ptz?.features?.includes("pt-r-fov") && (
-        <>
+        <TooltipProvider>
-          <Button
+          <Tooltip>
-            className={`${clickOverlay ? "text-selected" : "text-primary"}`}
+            <TooltipTrigger asChild>
-            aria-label="Click in the frame to center the PTZ camera"
+              <Button
-            onClick={() => setClickOverlay(!clickOverlay)}
+                className={`${clickOverlay ? "text-selected" : "text-primary"}`}
-          >
+                aria-label="Click in the frame to center the camera"
-            <TbViewfinder />
+                onClick={() => setClickOverlay(!clickOverlay)}
-          </Button>
+              >
-        </>
+                <TbViewfinder />
+              </Button>
+            </TooltipTrigger>
+            <TooltipContent>
+              <p>{clickOverlay ? "Disable" : "Enable"} click to move</p>
+            </TooltipContent>
+          </Tooltip>
+        </TooltipProvider>
       )}
       {(ptz?.presets?.length ?? 0) > 0 && (
-        <DropdownMenu modal={!isDesktop}>
+        <TooltipProvider>
-          <DropdownMenuTrigger asChild>
+          <Tooltip>
-            <Button aria-label="PTZ camera presets">
+            <TooltipTrigger asChild>
-              <BsThreeDotsVertical />
+              <DropdownMenu modal={!isDesktop}>
-            </Button>
+                <DropdownMenuTrigger asChild>
-          </DropdownMenuTrigger>
+                  <Button aria-label="PTZ camera presets">
-          <DropdownMenuContent
+                    <BsThreeDotsVertical />
-            className="scrollbar-container max-h-[40dvh] overflow-y-auto"
+                  </Button>
-            onCloseAutoFocus={(e) => e.preventDefault()}
+                </DropdownMenuTrigger>
-          >
+                <DropdownMenuContent
-            {ptz?.presets.map((preset) => {
+                  className="scrollbar-container max-h-[40dvh] overflow-y-auto"
-              return (
+                  onCloseAutoFocus={(e) => e.preventDefault()}
-                <DropdownMenuItem
-                  key={preset}
-                  aria-label={preset}
-                  className="cursor-pointer"
-                  onSelect={() => sendPtz(`preset_${preset}`)}
                 >
-                  {preset}
+                  {ptz?.presets.map((preset) => (
-                </DropdownMenuItem>
+                    <DropdownMenuItem
-              );
+                      key={preset}
-            })}
+                      aria-label={preset}
-          </DropdownMenuContent>
+                      className="cursor-pointer"
-        </DropdownMenu>
+                      onSelect={() => sendPtz(`preset_${preset}`)}
+                    >
+                      {preset}
+                    </DropdownMenuItem>
+                  ))}
+                </DropdownMenuContent>
+              </DropdownMenu>
+            </TooltipTrigger>
+            <TooltipContent>
+              <p>PTZ camera presets</p>
+            </TooltipContent>
+          </Tooltip>
+        </TooltipProvider>
       )}
     </div>
   );

web/src/views/settings/SearchSettingsView.tsx

@@ -91,7 +91,7 @@ export default function SearchSettingsView({
       )
       .then((res) => {
         if (res.status === 200) {
-          toast.success("Search settings have been saved.", {
+          toast.success("Explore settings have been saved.", {
             position: "top-center",
           });
           setChangedValue(false);
@@ -128,7 +128,7 @@ export default function SearchSettingsView({
     if (changedValue) {
       addMessage(
         "search_settings",
-        `Unsaved search settings changes`,
+        `Unsaved Explore settings changes`,
         undefined,
         "search_settings",
       );
@@ -140,7 +140,7 @@ export default function SearchSettingsView({
   }, [changedValue]);
 
   useEffect(() => {
-    document.title = "Search Settings - Frigate";
+    document.title = "Explore Settings - Frigate";
   }, []);
 
   if (!config) {
@@ -152,7 +152,7 @@ export default function SearchSettingsView({
       <Toaster position="top-center" closeButton={true} />
       <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
         <Heading as="h3" className="my-2">
-          Search Settings
+          Explore Settings
         </Heading>
         <Separator className="my-2 flex bg-secondary" />
         <Heading as="h4" className="my-2">
@@ -221,7 +221,7 @@ export default function SearchSettingsView({
               <div className="text-md">Model Size</div>
               <div className="space-y-1 text-sm text-muted-foreground">
                 <p>
-                  The size of the model used for semantic search embeddings.
+                  The size of the model used for Semantic Search embeddings.
                 </p>
                 <ul className="list-disc pl-5 text-sm">
                   <li>