Bump postcss-selector-parser, tailwind-scrollbar and tailwindcss in /web

Removes [postcss-selector-parser](https://github.com/postcss/postcss-selector-parser). It's no longer used after updating ancestor dependencies [postcss-selector-parser](https://github.com/postcss/postcss-selector-parser), [tailwind-scrollbar](https://github.com/adoxography/tailwind-scrollbar) and [tailwindcss](https://github.com/tailwindlabs/tailwindcss/tree/HEAD/packages/tailwindcss). These dependencies need to be updated together.


Removes `postcss-selector-parser`

Updates `tailwind-scrollbar` from 3.1.0 to 4.0.2
- [Release notes](https://github.com/adoxography/tailwind-scrollbar/releases)
- [Commits](https://github.com/adoxography/tailwind-scrollbar/compare/v3.1.0...v4.0.2)

Updates `tailwindcss` from 3.4.19 to 4.3.3
- [Release notes](https://github.com/tailwindlabs/tailwindcss/releases)
- [Changelog](https://github.com/tailwindlabs/tailwindcss/blob/main/CHANGELOG.md)
- [Commits](https://github.com/tailwindlabs/tailwindcss/commits/v4.3.3/packages/tailwindcss)

---
updated-dependencies:
- dependency-name: postcss-selector-parser
  dependency-version:
  dependency-type: indirect
- dependency-name: tailwind-scrollbar
  dependency-version: 4.0.2
  dependency-type: direct:production
- dependency-name: tailwindcss
  dependency-version: 4.3.3
  dependency-type: direct:development
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/actions/setup/action.yml

@@ -34,15 +34,15 @@ runs:
       run: sudo systemctl start docker
       shell: bash
     - id: lowercaseRepo
-      uses: ASzc/change-string-case-action@v8
+      uses: ASzc/change-string-case-action@v5
       with:
         string: ${{ github.repository }}
     - name: Set up QEMU
-      uses: docker/setup-qemu-action@v4
+      uses: docker/setup-qemu-action@v3
     - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v4
+      uses: docker/setup-buildx-action@v3
     - name: Log in to the Container registry
-      uses: docker/login-action@dbcb813823bdd20940b903addbd779551569679f
+      uses: docker/login-action@465a07811f14bebb1938fbed4728c6a1ff8901fc
       with:
         registry: ghcr.io
         username: ${{ github.actor }}

.github/dependabot.yml

@@ -1,157 +1,40 @@
 version: 2
 updates:
   - package-ecosystem: "github-actions"
-    # Local composite actions are only scanned when their directory is listed
-    directories:
-      - "/"
-      - "/.github/actions/setup"
+    directory: "/"
     schedule:
-      interval: weekly
-    cooldown:
-      default-days: 3
-    open-pull-requests-limit: 5
-    groups:
-      actions:
-        patterns: ["*"]
-      actions-security:
-        applies-to: security-updates
-        patterns: ["*"]
-
+      interval: daily
+    open-pull-requests-limit: 10
+    target-branch: dev
+  - package-ecosystem: "docker"
+    directory: "/docker"
+    schedule:
+      interval: daily
+    open-pull-requests-limit: 10
+    target-branch: dev
   - package-ecosystem: "pip"
     directory: "/docker/main"
     schedule:
-      interval: weekly
-    cooldown:
-      default-days: 3
-    open-pull-requests-limit: 5
-    groups:
-      # Sets that fail pip resolution unless they move together
-      peewee:
-        patterns: ["peewee", "peewee-migrate"]
-      crypto:
-        patterns: ["cryptography", "joserfc", "pywebpush", "py-vapid"]
-      pydantic-genai:
-        patterns: ["pydantic", "google-genai"]
-      pip-main-minor-patch:
-        patterns: ["*"]
-        update-types: ["minor", "patch"]
-      pip-main-security:
-        applies-to: security-updates
-        patterns: ["*"]
-    ignore:
-      # numpy 2.5 needs Python 3.12; norfair, tflite_runtime and rknn-toolkit2
-      # cap numpy below 2
-      - dependency-name: "numpy"
-        versions: [">=2"]
-      # Every OpenCV wheel from 4.12 requires numpy 2
-      - dependency-name: "opencv-python-headless"
-        versions: [">=4.12"]
-      - dependency-name: "opencv-contrib-python"
-        versions: [">=4.12"]
-      # aarch64 only. Rockchip rknn-toolkit2 caps protobuf at 4.25.4 and
-      # TensorFlow 2.21 needs protobuf 6.31 or newer.
-      - dependency-name: "tensorflow"
-        versions: [">=2.20"]
-      # Needs Python 3.12 and numpy 2
-      - dependency-name: "librosa"
-        versions: [">=1.0"]
-      # Needs Python 3.12
-      - dependency-name: "scipy"
-        versions: [">=1.18"]
-      # Newer stubs report false errors against peewee 4
-      - dependency-name: "types-peewee"
-        versions: [">=4.1"]
-      # sdist only and imported by HailoRT; needs a Hailo device to test
-      - dependency-name: "netifaces"
-        versions: [">=0.11"]
-
+      interval: daily
+    open-pull-requests-limit: 10
+    target-branch: dev
   - package-ecosystem: "pip"
     directory: "/docker/tensorrt"
     schedule:
-      interval: weekly
-    # No pull request check builds these images, so version updates are off.
-    # Security updates still open.
-    open-pull-requests-limit: 0
-    groups:
-      pip-trt-security:
-        applies-to: security-updates
-        patterns: ["*"]
-    ignore:
-      # onnx 1.17 and newer write a newer IR and opset than TensorRT 8.6 on
-      # JetPack 6 is known to parse
-      - dependency-name: "onnx"
-        versions: [">=1.17"]
-      # 1.27 moved to CUDA 13, and the image ships the CUDA 12.8 wheel set
-      - dependency-name: "onnxruntime-gpu"
-        versions: [">=1.27"]
-      # Hand-matched CUDA 12.8 set (2c9a25e67); move as a block
-      - dependency-name: "nvidia-*"
-      # Must match the JetPack CUDA runtime
-      - dependency-name: "cuda-python"
-        versions: [">=12.9"]
-
+      interval: daily
+    open-pull-requests-limit: 10
+    target-branch: dev
   - package-ecosystem: "npm"
     directory: "/web"
     schedule:
-      interval: weekly
-    cooldown:
-      default-days: 3
-    open-pull-requests-limit: 5
-    groups:
-      radix:
-        patterns: ["@radix-ui/*"]
-      rjsf:
-        patterns: ["@rjsf/*"]
-      web-minor-patch:
-        patterns: ["*"]
-        update-types: ["minor", "patch"]
-      web-security:
-        applies-to: security-updates
-        patterns: ["*"]
-    ignore:
-      # typescript-eslint peers typescript below 6.1
-      - dependency-name: "typescript"
-        versions: [">=6.1"]
-      # Tailwind 4 is a config rewrite; scrollbar 4 and merge 3 depend on it
-      - dependency-name: "tailwindcss"
-        update-types: ["version-update:semver-major"]
-      - dependency-name: "tailwind-scrollbar"
-        update-types: ["version-update:semver-major"]
-      - dependency-name: "tailwind-merge"
-        update-types: ["version-update:semver-major"]
-      # Intermittent failure in the UI settings import spec, cause not found
-      - dependency-name: "zod"
-        update-types: ["version-update:semver-major"]
-      # Needs an on-device pinch test before moving
-      - dependency-name: "react-zoom-pan-pinch"
-        update-types: ["version-update:semver-major"]
-      # Build fails until monaco-worker-manager releases its PR 4
-      - dependency-name: "monaco-editor"
-        versions: [">=0.55.0"]
-      # Later versions need Node 22 and extract false keys
-      - dependency-name: "i18next-cli"
-        versions: [">1.5.11"]
-      # 6.11.0 refills the saved model in the GenAI settings form
-      - dependency-name: "@rjsf/*"
-        versions: ["6.11.0"]
-
+      interval: daily
+    open-pull-requests-limit: 10
+    target-branch: dev
   - package-ecosystem: "npm"
     directory: "/docs"
     schedule:
-      interval: weekly
-    cooldown:
-      default-days: 3
-    open-pull-requests-limit: 5
+      interval: daily
     allow:
       - dependency-name: "@docusaurus/*"
-    groups:
-      docusaurus:
-        patterns: ["@docusaurus/*"]
-      docs-security:
-        applies-to: security-updates
-        patterns: ["*"]
-    ignore:
-      # A Docusaurus major needs the openapi plugin and theme moved in the
-      # same commit
-      - dependency-name: "@docusaurus/*"
-        update-types: ["version-update:semver-major"]
+    open-pull-requests-limit: 10
+    target-branch: dev

.github/workflows/ci.yml

@@ -586,7 +586,7 @@ jobs:
       - arm64_build
     steps:
       - id: lowercaseRepo
-        uses: ASzc/change-string-case-action@v8
+        uses: ASzc/change-string-case-action@v6
         with:
           string: ${{ github.repository }}
       - name: Log in to the Container registry

.github/workflows/release.yml

@@ -14,7 +14,7 @@ jobs:
         with:
           persist-credentials: false
       - id: lowercaseRepo
-        uses: ASzc/change-string-case-action@v8
+        uses: ASzc/change-string-case-action@v6
         with:
           string: ${{ github.repository }}
       - name: Log in to the Container registry

frigate/test/test_get_histogram.py

@@ -1,41 +0,0 @@
-import unittest
-
-import cv2
-import numpy as np
-
-from frigate.util.image import get_histogram
-
-
-def reference_histogram(image, x_min, y_min, x_max, y_max):
-    bgr = cv2.cvtColor(image, cv2.COLOR_YUV2BGR_I420)[y_min:y_max, x_min:x_max]
-    hist = cv2.calcHist([bgr], [0, 1, 2], None, [8, 8, 8], [0, 256, 0, 256, 0, 256])
-    return cv2.normalize(hist, hist).flatten()
-
-
-class TestGetHistogram(unittest.TestCase):
-    def setUp(self):
-        rng = np.random.default_rng(0)
-        self.frame = rng.integers(0, 255, (720 * 3 // 2, 1280), np.uint8)
-
-    def test_matches_full_frame_conversion_on_even_box(self):
-        box = (100, 200, 400, 600)
-        np.testing.assert_array_equal(
-            get_histogram(self.frame, *box), reference_histogram(self.frame, *box)
-        )
-
-    def test_odd_box_widens_to_even_edges(self):
-        np.testing.assert_array_equal(
-            get_histogram(self.frame, 101, 201, 399, 599),
-            reference_histogram(self.frame, 100, 200, 400, 600),
-        )
-
-    def test_box_is_clamped_to_frame(self):
-        np.testing.assert_array_equal(
-            get_histogram(self.frame, -10, -10, 5000, 5000),
-            reference_histogram(self.frame, 0, 0, 1280, 720),
-        )
-
-    def test_empty_box_returns_zeros(self):
-        hist = get_histogram(self.frame, 50, 50, 50, 50)
-        self.assertEqual(hist.shape, (512,))
-        self.assertEqual(hist.sum(), 0)

frigate/test/test_norfair_tracker_modes.py

@@ -1,136 +0,0 @@
-"""Tracker selection when autotracking config changes at runtime."""
-
-import unittest
-from unittest.mock import MagicMock
-
-import numpy as np
-
-from frigate.camera import PTZMetrics
-from frigate.config import FrigateConfig
-from frigate.track.norfair_tracker import NorfairTracker
-
-CAMERA = "ptz_cam"
-BOX = (400, 200, 500, 500)
-
-
-def _config(enabled: bool, track: list[str] | None = None) -> FrigateConfig:
-    autotracking: dict = {"enabled": enabled, "required_zones": ["zone"]}
-
-    if track is not None:
-        autotracking["track"] = track
-
-    return FrigateConfig(
-        **{
-            "mqtt": {"enabled": False},
-            "cameras": {
-                CAMERA: {
-                    "ffmpeg": {
-                        "inputs": [
-                            {"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
-                        ]
-                    },
-                    "detect": {"width": 1280, "height": 720},
-                    "zones": {"zone": {"coordinates": "0,0,1,0,1,1,0,1"}},
-                    "onvif": {"host": "10.0.0.1", "autotracking": autotracking},
-                }
-            },
-        }
-    )
-
-
-class TestTrackerSelection(unittest.TestCase):
-    def setUp(self) -> None:
-        self.frame_time = 1000.0
-
-    def make_tracker(self, enabled: bool) -> NorfairTracker:
-        camera_config = _config(enabled).cameras[CAMERA]
-        tracker = NorfairTracker(camera_config, PTZMetrics())
-        tracker.frame_manager = MagicMock()
-        tracker.frame_manager.get.return_value = np.zeros(
-            camera_config.frame_shape_yuv, dtype=np.uint8
-        )
-        tracker.ptz_motion_estimator = MagicMock()
-        tracker.ptz_motion_estimator.motion_estimator.return_value = None
-        return tracker
-
-    def apply_onvif_update(self, tracker: NorfairTracker, config: FrigateConfig):
-        """Apply an onvif config update the way the camera process does."""
-        tracker.camera_config.onvif = config.cameras[CAMERA].onvif
-        tracker.sync_trackers()
-
-    def run_frames(self, tracker: NorfairTracker, count: int, label="person"):
-        for _ in range(count):
-            self.frame_time += 0.2
-            tracker.match_and_update(
-                "frame",
-                self.frame_time,
-                [(label, 0.9, BOX, 30000, 0.33, (0, 0, 640, 640))],
-            )
-
-    def test_disabling_autotracking_falls_back_to_static_tracker(self):
-        tracker = self.make_tracker(enabled=True)
-        self.run_frames(tracker, 10)
-        self.assertIs(tracker.get_tracker("person"), tracker.trackers["person"]["ptz"])
-
-        self.apply_onvif_update(tracker, _config(enabled=False))
-        self.run_frames(tracker, 10)
-
-        self.assertIs(tracker.get_tracker("person"), tracker.default_tracker["static"])
-        self.assertEqual(len(tracker.tracked_objects), 1)
-
-    def test_enabling_autotracking_uses_ptz_tracker(self):
-        tracker = self.make_tracker(enabled=False)
-        self.run_frames(tracker, 10)
-        self.assertIs(tracker.get_tracker("person"), tracker.default_tracker["static"])
-
-        self.apply_onvif_update(tracker, _config(enabled=True))
-        self.run_frames(tracker, 10)
-
-        self.assertIs(tracker.get_tracker("person"), tracker.trackers["person"]["ptz"])
-        self.assertEqual(len(tracker.tracked_objects), 1)
-
-    def test_removing_label_from_autotracking_keeps_tracking(self):
-        tracker = self.make_tracker(enabled=True)
-        self.run_frames(tracker, 10)
-
-        self.apply_onvif_update(tracker, _config(enabled=True, track=["car"]))
-        self.run_frames(tracker, 10)
-
-        self.assertNotIn("person", tracker.trackers)
-        self.assertIs(tracker.get_tracker("person"), tracker.default_tracker["ptz"])
-        self.assertEqual(len(tracker.tracked_objects), 1)
-
-    def test_unrelated_onvif_update_keeps_objects(self):
-        tracker = self.make_tracker(enabled=True)
-        self.run_frames(tracker, 10)
-        ids = set(tracker.tracked_objects)
-
-        config = _config(enabled=True)
-        config.cameras[CAMERA].onvif.password = "changed"
-        self.apply_onvif_update(tracker, config)
-        self.run_frames(tracker, 5)
-
-        self.assertEqual(set(tracker.tracked_objects), ids)
-
-    def test_runtime_toggle_keeps_objects(self):
-        # MQTT and the autotracker only flip enabled, never enabled_in_config
-        tracker = self.make_tracker(enabled=True)
-        self.run_frames(tracker, 10)
-        ids = set(tracker.tracked_objects)
-
-        tracker.camera_config.onvif.autotracking.enabled = False
-        tracker.sync_trackers()
-        self.run_frames(tracker, 5)
-
-        self.assertEqual(set(tracker.tracked_objects), ids)
-
-    def test_unlisted_label_uses_the_default_tracker_that_holds_it(self):
-        tracker = self.make_tracker(enabled=True)
-        self.run_frames(tracker, 10, label="dog")
-
-        default = tracker.get_tracker("dog")
-        self.assertIs(default, tracker.default_tracker["ptz"])
-        self.assertEqual(
-            {str(o.global_id) for o in default.tracked_objects},
-            set(tracker.track_id_map),
-        )

frigate/track/norfair_tracker.py

@@ -180,9 +180,48 @@ class NorfairTracker(ObjectTracker):
         }
 
         self.trackers: dict[str, dict[str, Tracker]] = {}
-        self.default_tracker: dict[str, Tracker] = {}
-        self.tracker_selection: tuple[bool | None, tuple[str, ...]] | None = None
-        self.sync_trackers()
+        # Handle static trackers
+        for obj_type, tracker_config in self.object_type_configs.items():
+            if obj_type in self.camera_config.objects.track:
+                if obj_type not in self.trackers:
+                    self.trackers[obj_type] = {}
+                self.trackers[obj_type]["static"] = self._create_tracker(
+                    obj_type, tracker_config
+                )
+
+        # Handle PTZ trackers
+        for obj_type, tracker_config in self.ptz_object_type_configs.items():
+            if (
+                obj_type in self.camera_config.onvif.autotracking.track
+                and self.camera_config.onvif.autotracking.enabled_in_config
+            ):
+                if obj_type not in self.trackers:
+                    self.trackers[obj_type] = {}
+                self.trackers[obj_type]["ptz"] = self._create_tracker(
+                    obj_type, tracker_config
+                )
+
+        # Initialize default trackers
+        self.default_tracker = {
+            "static": Tracker(
+                distance_function=frigate_distance,
+                distance_threshold=self.default_tracker_config[  # type: ignore[arg-type]
+                    "distance_threshold"
+                ],
+                initialization_delay=self.detect_config.min_initialized,
+                hit_counter_max=self.detect_config.max_disappeared,  # type: ignore[arg-type]
+                filter_factory=self.default_tracker_config["filter_factory"],  # type: ignore[arg-type]
+            ),
+            "ptz": Tracker(
+                distance_function=frigate_distance,
+                distance_threshold=self.default_ptz_tracker_config[
+                    "distance_threshold"
+                ],  # type: ignore[arg-type]
+                initialization_delay=self.detect_config.min_initialized,
+                hit_counter_max=self.detect_config.max_disappeared,  # type: ignore[arg-type]
+                filter_factory=self.default_ptz_tracker_config["filter_factory"],  # type: ignore[arg-type]
+            ),
+        }
 
         if self.camera_config.onvif.autotracking.enabled:
             self.ptz_motion_estimator = PtzMotionEstimator(
@@ -218,86 +257,18 @@ class NorfairTracker(ObjectTracker):
 
         return Tracker(**tracker_params)
 
-    def _tracker_selection(self) -> tuple[bool | None, tuple[str, ...]]:
-        autotracking = self.camera_config.onvif.autotracking
-        ptz_labels = tuple(
-            label
-            for label in self.ptz_object_type_configs
-            if label in autotracking.track
-        )
-        return (autotracking.enabled_in_config, ptz_labels)
-
-    def sync_trackers(self) -> None:
-        """Rebuild the trackers when the config that selects them has changed.
-
-        The camera process receives onvif config updates at runtime, so which
-        labels use a PTZ tracker can change after startup. Rebuilding drops
-        norfair state, so an update that leaves the selection alone is a no-op.
-        """
-        selection = self._tracker_selection()
-
-        if selection == self.tracker_selection:
-            return
-
-        if self.tracker_selection is not None:
-            logger.debug(
-                "%s: autotracking changed, rebuilding trackers", self.camera_name
-            )
-
-        self.tracker_selection = selection
-        ptz_enabled, ptz_labels = selection
-        self.trackers = {}
-
-        for obj_type, tracker_config in self.object_type_configs.items():
-            if obj_type in self.camera_config.objects.track:
-                self.trackers.setdefault(obj_type, {})["static"] = self._create_tracker(
-                    obj_type, tracker_config
-                )
-
-        if ptz_enabled:
-            for obj_type, tracker_config in self.ptz_object_type_configs.items():
-                if obj_type in ptz_labels:
-                    self.trackers.setdefault(obj_type, {})["ptz"] = (
-                        self._create_tracker(obj_type, tracker_config)
-                    )
-
-        self.default_tracker = {
-            "static": Tracker(
-                distance_function=frigate_distance,
-                distance_threshold=self.default_tracker_config[  # type: ignore[arg-type]
-                    "distance_threshold"
-                ],
-                initialization_delay=self.detect_config.min_initialized,
-                hit_counter_max=self.detect_config.max_disappeared,  # type: ignore[arg-type]
-                filter_factory=self.default_tracker_config["filter_factory"],  # type: ignore[arg-type]
-            ),
-            "ptz": Tracker(
-                distance_function=frigate_distance,
-                distance_threshold=self.default_ptz_tracker_config[
-                    "distance_threshold"
-                ],  # type: ignore[arg-type]
-                initialization_delay=self.detect_config.min_initialized,
-                hit_counter_max=self.detect_config.max_disappeared,  # type: ignore[arg-type]
-                filter_factory=self.default_ptz_tracker_config["filter_factory"],  # type: ignore[arg-type]
-            ),
-        }
-
-    def default_mode(self) -> str:
-        return (
+    def get_tracker(self, object_type: str) -> Tracker:
+        """Get the appropriate tracker based on object type and camera mode."""
+        mode = (
             "ptz"
             if self.camera_config.onvif.autotracking.enabled_in_config
+            and object_type in self.camera_config.onvif.autotracking.track
+            and object_type in self.ptz_object_type_configs.keys()
             else "static"
         )
-
-    def get_tracker(self, object_type: str) -> Tracker:
-        """Get the tracker that match_and_update feeds this label's detections to."""
-        trackers = self.trackers.get(object_type)
-
-        if trackers is None:
-            return self.default_tracker[self.default_mode()]
-
-        # sync_trackers only creates a ptz tracker for labels the config selects
-        return trackers["ptz"] if "ptz" in trackers else trackers["static"]
+        if object_type in self.trackers:
+            return self.trackers[object_type][mode]
+        return self.default_tracker[mode]
 
     def register(self, track_id: str, obj: dict[str, Any]) -> None:
         rand_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
@@ -563,7 +534,7 @@ class NorfairTracker(ObjectTracker):
             points = np.array([[obj[2][0], obj[2][1]], [obj[2][2], obj[2][3]]])
 
             embedding = None
-            if self.camera_config.onvif.autotracking.enabled and yuv_frame is not None:
+            if self.camera_config.onvif.autotracking.enabled:
                 embedding = get_histogram(
                     yuv_frame, obj[2][0], obj[2][1], obj[2][2], obj[2][3]
                 )
@@ -616,7 +587,12 @@ class NorfairTracker(ObjectTracker):
                 default_detections.extend(dets)
 
         # Update default tracker with untracked detections
-        tracked_objects = self.default_tracker[self.default_mode()].update(
+        mode = (
+            "ptz"
+            if self.camera_config.onvif.autotracking.enabled_in_config
+            else "static"
+        )
+        tracked_objects = self.default_tracker[mode].update(
             detections=default_detections, coord_transformations=coord_transformations
         )
         all_tracked_objects.extend(tracked_objects)

frigate/util/image.py

@@ -1241,42 +1241,9 @@ def get_image_from_recording(
     return image_data
 
 
-def get_histogram(
-    image: np.ndarray, x_min: int, y_min: int, x_max: int, y_max: int
-) -> np.ndarray:
-    """Return a normalized 8x8x8 BGR histogram of a box in an I420 frame.
-
-    The box is cropped from each YUV plane before color conversion, so the
-    cost depends on the box size rather than the frame size. Box edges are
-    widened to even coordinates to keep chroma alignment.
-    """
-    height = image.shape[0] * 2 // 3
-    width = image.shape[1]
-    x_min = max(0, x_min // 2 * 2)
-    y_min = max(0, y_min // 2 * 2)
-    x_max = min(width, (x_max + 1) // 2 * 2)
-    y_max = min(height, (y_max + 1) // 2 * 2)
-
-    if x_max - x_min < 2 or y_max - y_min < 2:
-        return np.zeros(512, np.float32)
-
-    flat = image.reshape(-1)
-    y_size = height * width
-    uv_size = y_size // 4
-    y_plane = flat[:y_size].reshape(height, width)
-    u_plane = flat[y_size : y_size + uv_size].reshape(height // 2, width // 2)
-    v_plane = flat[y_size + uv_size : y_size + 2 * uv_size].reshape(
-        height // 2, width // 2
-    )
-
-    crop = np.concatenate(
-        (
-            y_plane[y_min:y_max, x_min:x_max].ravel(),
-            u_plane[y_min // 2 : y_max // 2, x_min // 2 : x_max // 2].ravel(),
-            v_plane[y_min // 2 : y_max // 2, x_min // 2 : x_max // 2].ravel(),
-        )
-    ).reshape((y_max - y_min) * 3 // 2, x_max - x_min)
-    image_bgr = cv2.cvtColor(crop, cv2.COLOR_YUV2BGR_I420)
+def get_histogram(image, x_min, y_min, x_max, y_max):
+    image_bgr = cv2.cvtColor(image, cv2.COLOR_YUV2BGR_I420)
+    image_bgr = image_bgr[y_min:y_max, x_min:x_max]
 
     hist = cv2.calcHist(
         [image_bgr], [0, 1, 2], None, [8, 8, 8], [0, 256, 0, 256, 0, 256]

frigate/video/detect.py

@@ -302,7 +302,6 @@ def process_frames(
             motion_detector.autotracking_enabled = (
                 camera_config.onvif.autotracking.enabled
             )
-            object_tracker.sync_trackers()
 
         if (
             not camera_enabled

web/package.json

@@ -89,7 +89,7 @@
     "sonner": "^2.0.8",
     "swr": "^2.5.1",
     "tailwind-merge": "^2.4.0",
-    "tailwind-scrollbar": "^3.1.0",
+    "tailwind-scrollbar": "^4.0.2",
     "tailwindcss-animate": "^1.0.7",
     "use-long-press": "^3.3.0",
     "vaul": "^1.1.2",
@@ -120,7 +120,7 @@
     "postcss": "^8.5.29",
     "prettier": "^3.9.9",
     "prettier-plugin-tailwindcss": "^0.8.1",
-    "tailwindcss": "^3.4.19",
+    "tailwindcss": "^4.3.3",
     "typescript": "^6.0.3",
     "typescript-eslint": "^8.71.1",
     "vite": "^8.3.3"