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525a6a1b56
| Author | SHA1 | Date | |
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525a6a1b56 |
@ -179,7 +179,7 @@ The FeatureList on the [ONVIF Conformant Products Database](https://www.onvif.or
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| Hikvision DS-2DE3A404IWG-E/W | ✅ | ✅ | |
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| Reolink | ✅ | ❌ | |
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| Speco O8P32X | ✅ | ❌ | |
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| Sunba 405-D20X | ✅ | ❌ | Incomplete ONVIF support reported on original, and 4k models. All models are suspected incompatible. |
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| Sunba 405-D20X | ✅ | ❌ | Incomplete ONVIF support reported on original, and 4k models. All models are suspected incompatable. |
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| Tapo | ✅ | ❌ | Many models supported, ONVIF Service Port: 2020 |
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| Uniview IPC672LR-AX4DUPK | ✅ | ❌ | Firmware says FOV relative movement is supported, but camera doesn't actually move when sending ONVIF commands |
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| Uniview IPC6612SR-X33-VG | ✅ | ✅ | Leave `calibrate_on_startup` as `False`. A user has reported that zooming with `absolute` is working. |
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@ -660,7 +660,7 @@ Note that the labelmap uses a subset of the complete COCO label set that has onl
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#### RF-DETR
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[RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more information on downloading the RF-DETR model for use in Frigate.
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[RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more informatoin on downloading the RF-DETR model for use in Frigate.
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:::warning
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@ -749,7 +749,7 @@ Failure to remap port 5000 on the host will result in the WebUI and all API endp
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:::
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Docker containers on macOS can be orchestrated by either [Docker Desktop](https://docs.docker.com/desktop/setup/install/mac-install/) or [OrbStack](https://orbstack.dev) (native Swift app). The difference in inference speeds is negligible, however CPU, power consumption and container start times will be lower on OrbStack because it is a native Swift application.
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Docker containers on macOS can be orchestrated by either [Docker Desktop](https://docs.docker.com/desktop/setup/install/mac-install/) or [OrbStack](https://orbstack.dev) (native swift app). The difference in inference speeds is negligable, however CPU, power consumption and container start times will be lower on OrbStack because it is a native Swift application.
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To allow Frigate to use the Apple Silicon Neural Engine / Processing Unit (NPU) the host must be running [Apple Silicon Detector](../configuration/object_detectors.md#apple-silicon-detector) on the host (outside Docker)
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@ -768,7 +768,7 @@ services:
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- /path/to/your/recordings:/recordings
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ports:
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- "8971:8971"
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# If exposing on macOS map to a different host port like 5001 or any other port with no conflicts
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# If exposing on macOS map to a diffent host port like 5001 or any orher port with no conflicts
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# - "5001:5000" # Internal unauthenticated access. Expose carefully.
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- "8554:8554" # RTSP feeds
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extra_hosts:
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@ -299,36 +299,22 @@ async def no_recordings(
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.iterator()
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)
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# Convert recordings to list of (start, end) tuples, ordered by start_time
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# Convert recordings to list of (start, end) tuples
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recordings = [(r["start_time"], r["end_time"]) for r in data]
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# Merge overlapping/adjacent recordings into covered intervals. The query
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# orders by start_time, so a single pass merges them
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covered: list[tuple[float, float]] = []
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for rec_start, rec_end in recordings:
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if covered and rec_start <= covered[-1][1]:
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covered[-1] = (covered[-1][0], max(covered[-1][1], rec_end))
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else:
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covered.append((rec_start, rec_end))
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# Iterate through time segments and check if each has any recording
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no_recording_segments = []
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current = after
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current_gap_start = None
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idx = 0
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covered_count = len(covered)
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while current < before:
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segment_end = min(current + scale, before)
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# Advance past covered intervals that end before this segment begins;
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# they cannot overlap this or any later segment.
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while idx < covered_count and covered[idx][1] <= current:
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idx += 1
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# A covered interval overlaps the segment when it starts before the
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# segment ends (its end is already known to be > current).
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has_recording = idx < covered_count and covered[idx][0] < segment_end
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# Check if this segment overlaps with any recording
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has_recording = any(
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rec_start < segment_end and rec_end > current
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for rec_start, rec_end in recordings
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)
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if not has_recording:
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# This segment has no recordings
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@ -632,10 +632,9 @@ def motion_activity(
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if not filtered:
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return JSONResponse(content=[])
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camera_list = list(filtered)
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clauses.append((Recordings.camera << camera_list))
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else:
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camera_list = list(allowed_cameras)
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clauses.append((Recordings.camera << camera_list))
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clauses.append((Recordings.camera << allowed_cameras))
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data: list[Recordings] = (
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Recordings.select(
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@ -663,12 +662,14 @@ def motion_activity(
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df.set_index(["start_time"], inplace=True)
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# normalize data
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motion = df["motion"].resample(f"{scale}s").max().fillna(0.0).to_frame()
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if len(camera_list) == 1:
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cameras = df["camera"].resample(f"{scale}s").first().fillna("")
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else:
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cameras = df["camera"].resample(f"{scale}s").agg(lambda x: ",".join(set(x)))
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motion = (
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df["motion"]
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.resample(f"{scale}s")
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.apply(lambda x: max(x, key=abs, default=0.0))
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.fillna(0.0)
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.to_frame()
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)
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cameras = df["camera"].resample(f"{scale}s").agg(lambda x: ",".join(set(x)))
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df = motion.join(cameras)
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length = df.shape[0]
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@ -684,11 +685,6 @@ def motion_activity(
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else:
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df.iloc[i : i + chunk, 0] = 0.0
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# Drop resample gap-fill buckets. The resample above emits a row for every
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# {scale}s bucket spanning the range, and buckets with no recording get a
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# motion of 0 (from fillna) and an empty camera (from joining an empty set).
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df = df[df["camera"] != ""]
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# change types for output
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df.index = df.index.astype(int) // (10**9)
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normalized = df.reset_index().to_dict("records")
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@ -5,7 +5,7 @@ import json
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import logging
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any, Callable, Optional
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from typing import Optional
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from frigate.config.camera.updater import (
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CameraConfigUpdateEnum,
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@ -34,45 +34,6 @@ PROFILE_SECTION_UPDATES: dict[str, CameraConfigUpdateEnum] = {
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"zones": CameraConfigUpdateEnum.zones,
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}
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# Retained MQTT switch topics per profile section, with a payload getter.
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# Republished on profile change so MQTT/HA don't show a stale toggle.
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SECTION_STATE_TOPICS: dict[str, list[tuple[str, Callable[[Any], Any]]]] = {
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"audio": [("audio", lambda c: "ON" if c.audio.enabled else "OFF")],
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"birdseye": [
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("birdseye", lambda c: "ON" if c.birdseye.enabled else "OFF"),
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(
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"birdseye_mode",
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lambda c: c.birdseye.mode.value.upper() if c.birdseye.enabled else "OFF",
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),
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],
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"detect": [("detect", lambda c: "ON" if c.detect.enabled else "OFF")],
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"motion": [
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("motion", lambda c: "ON" if c.motion.enabled else "OFF"),
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("improve_contrast", lambda c: "ON" if c.motion.improve_contrast else "OFF"),
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("motion_threshold", lambda c: c.motion.threshold),
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("motion_contour_area", lambda c: c.motion.contour_area),
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],
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"notifications": [
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("notifications", lambda c: "ON" if c.notifications.enabled else "OFF"),
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],
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"objects": [
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("object_descriptions", lambda c: "ON" if c.objects.genai.enabled else "OFF"),
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],
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"record": [("recordings", lambda c: "ON" if c.record.enabled else "OFF")],
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"review": [
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("review_alerts", lambda c: "ON" if c.review.alerts.enabled else "OFF"),
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(
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"review_detections",
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lambda c: "ON" if c.review.detections.enabled else "OFF",
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),
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(
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"review_descriptions",
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lambda c: "ON" if c.review.genai.enabled else "OFF",
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),
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],
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"snapshots": [("snapshots", lambda c: "ON" if c.snapshots.enabled else "OFF")],
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}
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PERSISTENCE_FILE = Path(CONFIG_DIR) / ".profiles"
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@ -349,15 +310,6 @@ class ProfileManager:
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settings,
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)
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# republish MQTT switch states
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if self.dispatcher is not None:
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for suffix, get_payload in SECTION_STATE_TOPICS.get(section, ()):
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self.dispatcher.publish(
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f"{cam_name}/{suffix}/state",
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get_payload(cam_config),
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retain=True,
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)
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def _persist_active_profile(self, profile_name: Optional[str]) -> None:
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"""Persist the active profile state to disk as JSON."""
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try:
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@ -403,75 +403,3 @@ class TestHttpMedia(BaseTestHttp):
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assert len(summary) == 1
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assert "2024-03-10" in summary
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assert summary["2024-03-10"] is True
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def test_recordings_unavailable_reports_gap_between_recordings(self):
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"""A gap between two recordings is reported as an unavailable segment."""
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with AuthTestClient(self.app) as client:
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# Two recordings with a 20s gap (1010-1030) between them.
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Recordings.insert(
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id="rec_a",
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path="/media/recordings/a.mp4",
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camera="front_door",
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start_time=1000,
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end_time=1010,
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duration=10,
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motion=0,
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).execute()
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Recordings.insert(
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id="rec_b",
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path="/media/recordings/b.mp4",
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camera="front_door",
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start_time=1030,
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end_time=1040,
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duration=10,
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motion=0,
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).execute()
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response = client.get(
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"/recordings/unavailable",
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params={
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"after": 1000,
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"before": 1040,
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"scale": 5,
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"cameras": "front_door",
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},
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)
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assert response.status_code == 200
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assert response.json() == [{"start_time": 1010, "end_time": 1030}]
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def test_recordings_unavailable_merges_overlapping_recordings(self):
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"""Overlapping recordings are merged so no false gap is reported."""
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with AuthTestClient(self.app) as client:
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# Overlapping recordings spanning the whole requested range.
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Recordings.insert(
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id="rec_a",
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path="/media/recordings/a.mp4",
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camera="front_door",
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start_time=1000,
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end_time=1020,
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duration=20,
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motion=0,
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).execute()
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Recordings.insert(
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id="rec_b",
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path="/media/recordings/b.mp4",
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camera="front_door",
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start_time=1010,
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end_time=1030,
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duration=20,
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motion=0,
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).execute()
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response = client.get(
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"/recordings/unavailable",
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params={
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"after": 1000,
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"before": 1030,
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"scale": 5,
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"cameras": "front_door",
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},
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)
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assert response.status_code == 200
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assert response.json() == []
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@ -610,16 +610,19 @@ class TestHttpReview(BaseTestHttp):
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response = client.get("/review/activity/motion", params=params)
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assert response.status_code == 200
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response_json = response.json()
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# Only buckets with an actual recording are returned. Empty
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# gap-fill buckets between the two recordings are dropped.
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assert len(response_json) == 2
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assert len(response_json) == 61
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self.assertDictEqual(
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{"motion": 50.5, "camera": "front_door", "start_time": now + 1},
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response_json[0],
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)
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for item in response_json[1:-1]:
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self.assertDictEqual(
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{"motion": 0.0, "camera": "", "start_time": item["start_time"]},
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item,
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)
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self.assertDictEqual(
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{"motion": 100.0, "camera": "front_door", "start_time": one_m + 1},
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response_json[1],
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response_json[len(response_json) - 1],
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)
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####################################################################################################################
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@ -1,6 +1,5 @@
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"""Tests for the profiles system."""
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import copy
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import json
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import os
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import unittest
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@ -747,36 +746,6 @@ class TestProfileManager(unittest.TestCase):
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manager.activate_profile(None)
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dispatcher.clear_runtime_state.assert_called_once_with()
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@patch.object(ProfileManager, "_persist_active_profile")
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def test_profile_change_republishes_switch_states(self, mock_persist):
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"""Profile changes republish MQTT switch states so HA stays in sync.
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Regression: activating/deactivating a profile updated the in-memory
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config (and Frigate's behavior) but left the retained MQTT state
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topics stale, so external integrations like Home Assistant kept
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showing the pre-profile toggle position.
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"""
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config_data = copy.deepcopy(self.config_data)
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config_data["cameras"]["front"]["profiles"]["disarmed"]["review"] = {
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"alerts": {"enabled": False},
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}
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config = FrigateConfig(**config_data)
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dispatcher = MagicMock()
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manager = ProfileManager(config, self.mock_updater, dispatcher)
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# Activating disarmed turns alerts off -> MQTT state must follow
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manager.activate_profile("disarmed")
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dispatcher.publish.assert_any_call(
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"front/review_alerts/state", "OFF", retain=True
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)
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# Deactivating restores the base (alerts on) -> MQTT state must follow
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dispatcher.publish.reset_mock()
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manager.activate_profile(None)
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dispatcher.publish.assert_any_call(
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"front/review_alerts/state", "ON", retain=True
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)
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@patch.object(ProfileManager, "_persist_active_profile")
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def test_startup_replay_does_not_clear_runtime_state(self, mock_persist):
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"""Startup callers pass clear_runtime_overrides=False to preserve state."""
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@ -12,7 +12,7 @@ export const JINA_EMBEDDING_MODELS = ["jinav1", "jinav2"] as const;
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export const REDACTED_CREDENTIAL_SENTINEL = "__FRIGATE_SAVED_CREDENTIAL__";
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export const ANNOTATION_OFFSET_MIN = -10000;
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export const ANNOTATION_OFFSET_MAX = 10000;
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export const ANNOTATION_OFFSET_MAX = 5000;
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export const ANNOTATION_OFFSET_STEP = 50;
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export const supportedLanguageKeys = [
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@ -53,7 +53,6 @@ export default function MasksAndZonesView({
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const { data: config } = useSWR<FrigateConfig>("config");
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const [allPolygons, setAllPolygons] = useState<Polygon[]>([]);
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const [editingPolygons, setEditingPolygons] = useState<Polygon[]>([]);
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const [polygonsInitialized, setPolygonsInitialized] = useState(false);
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const [isLoading, setIsLoading] = useState(false);
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const [loadingPolygonIndex, setLoadingPolygonIndex] = useState<
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number | undefined
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@ -610,7 +609,6 @@ export default function MasksAndZonesView({
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...globalObjectMasks,
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...objectMasks,
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]);
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setPolygonsInitialized(true);
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// Don't overwrite editingPolygons during editing – layout shifts
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// from switching to the edit pane can trigger a resize which
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// recalculates scaledWidth/scaledHeight and would discard the
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@ -678,7 +676,7 @@ export default function MasksAndZonesView({
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}, [currentEditingProfile]);
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useSearchEffect("object_mask", (coordinates: string) => {
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if (!scaledWidth || !scaledHeight || isLoading || !polygonsInitialized) {
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if (!scaledWidth || !scaledHeight || isLoading) {
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return false;
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}
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||||
// convert box points string to points array
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|
||||
Loading…
Reference in New Issue
Block a user