Reuse constants (#16874)

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Martin Weinelt 2025-03-01 05:35:09 +01:00 committed by GitHub
parent 06d6e21de8
commit 458134de5d
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16 changed files with 55 additions and 30 deletions

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@ -31,6 +31,7 @@ from frigate.config import FrigateConfig
from frigate.const import (
CACHE_DIR,
CLIPS_DIR,
INSTALL_DIR,
MAX_SEGMENT_DURATION,
PREVIEW_FRAME_TYPE,
RECORD_DIR,
@ -155,7 +156,9 @@ def latest_frame(
frame_processor.get_current_frame_time(camera_name) + retry_interval
):
if request.app.camera_error_image is None:
error_image = glob.glob("/opt/frigate/frigate/images/camera-error.jpg")
error_image = glob.glob(
os.path.join(INSTALL_DIR, "frigate/images/camera-error.jpg")
)
if len(error_image) > 0:
request.app.camera_error_image = cv2.imread(
@ -550,7 +553,7 @@ def recording_clip(
)
file_name = sanitize_filename(f"playlist_{camera_name}_{start_ts}-{end_ts}.txt")
file_path = f"/tmp/cache/{file_name}"
file_path = os.path.join(CACHE_DIR, file_name)
with open(file_path, "w") as file:
clip: Recordings
for clip in recordings:

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@ -9,7 +9,7 @@ from fastapi import APIRouter
from fastapi.responses import JSONResponse
from frigate.api.defs.tags import Tags
from frigate.const import CACHE_DIR, PREVIEW_FRAME_TYPE
from frigate.const import BASE_DIR, CACHE_DIR, PREVIEW_FRAME_TYPE
from frigate.models import Previews
logger = logging.getLogger(__name__)
@ -52,7 +52,7 @@ def preview_ts(camera_name: str, start_ts: float, end_ts: float):
clips.append(
{
"camera": preview["camera"],
"src": preview["path"].replace("/media/frigate", ""),
"src": preview["path"].replace(BASE_DIR, ""),
"type": "video/mp4",
"start": preview["start_time"],
"end": preview["end_time"],

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@ -1,6 +1,7 @@
import os
import re
INSTALL_DIR = "/opt/frigate"
CONFIG_DIR = "/config"
DEFAULT_DB_PATH = f"{CONFIG_DIR}/frigate.db"
MODEL_CACHE_DIR = f"{CONFIG_DIR}/model_cache"

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@ -76,14 +76,16 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
def __build_detector(self) -> None:
self.face_detector = cv2.FaceDetectorYN.create(
"/config/model_cache/facedet/facedet.onnx",
os.path.join(MODEL_CACHE_DIR, "facedet/facedet.onnx"),
config="",
input_size=(320, 320),
score_threshold=0.8,
nms_threshold=0.3,
)
self.landmark_detector = cv2.face.createFacemarkLBF()
self.landmark_detector.loadModel("/config/model_cache/facedet/landmarkdet.yaml")
self.landmark_detector.loadModel(
os.path.join(MODEL_CACHE_DIR, "facedet/landmarkdet.yaml")
)
def __build_classifier(self) -> None:
if not self.landmark_detector:

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@ -9,7 +9,7 @@ import requests
from pydantic import BaseModel, ConfigDict, Field
from pydantic.fields import PrivateAttr
from frigate.const import DEFAULT_ATTRIBUTE_LABEL_MAP
from frigate.const import DEFAULT_ATTRIBUTE_LABEL_MAP, MODEL_CACHE_DIR
from frigate.plus import PlusApi
from frigate.util.builtin import generate_color_palette, load_labels
@ -123,7 +123,7 @@ class ModelConfig(BaseModel):
return
model_id = self.path[7:]
self.path = f"/config/model_cache/{model_id}"
self.path = os.path.join(MODEL_CACHE_DIR, model_id)
model_info_path = f"{self.path}.json"
# download the model if it doesn't exist

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@ -22,6 +22,7 @@ except ModuleNotFoundError:
from pydantic import BaseModel, Field
from typing_extensions import Literal
from frigate.const import MODEL_CACHE_DIR
from frigate.detectors.detection_api import DetectionApi
from frigate.detectors.detector_config import BaseDetectorConfig
@ -57,7 +58,7 @@ class HailoDetector(DetectionApi):
self.h8l_tensor_format = detector_config.model.input_tensor
self.h8l_pixel_format = detector_config.model.input_pixel_format
self.model_url = "https://hailo-model-zoo.s3.eu-west-2.amazonaws.com/ModelZoo/Compiled/v2.11.0/hailo8l/ssd_mobilenet_v1.hef"
self.cache_dir = "/config/model_cache/h8l_cache"
self.cache_dir = os.path.join(MODEL_CACHE_DIR, "h8l_cache")
self.expected_model_filename = "ssd_mobilenet_v1.hef"
output_type = "FLOAT32"

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@ -7,6 +7,7 @@ import openvino.properties as props
from pydantic import Field
from typing_extensions import Literal
from frigate.const import MODEL_CACHE_DIR
from frigate.detectors.detection_api import DetectionApi
from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
from frigate.util.model import post_process_yolov9
@ -41,8 +42,10 @@ class OvDetector(DetectionApi):
logger.error(f"OpenVino model file {detector_config.model.path} not found.")
raise FileNotFoundError
os.makedirs("/config/model_cache/openvino", exist_ok=True)
self.ov_core.set_property({props.cache_dir: "/config/model_cache/openvino"})
os.makedirs(os.path.join(MODEL_CACHE_DIR, "openvino"), exist_ok=True)
self.ov_core.set_property(
{props.cache_dir: os.path.join(MODEL_CACHE_DIR, "openvino")}
)
self.interpreter = self.ov_core.compile_model(
model=detector_config.model.path, device_name=detector_config.device
)

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@ -6,6 +6,7 @@ from typing import Literal
from pydantic import Field
from frigate.const import MODEL_CACHE_DIR
from frigate.detectors.detection_api import DetectionApi
from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
@ -17,7 +18,7 @@ supported_socs = ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588"]
supported_models = {ModelTypeEnum.yolonas: "^deci-fp16-yolonas_[sml]$"}
model_cache_dir = "/config/model_cache/rknn_cache/"
model_cache_dir = os.path.join(MODEL_CACHE_DIR, "rknn_cache/")
class RknnDetectorConfig(BaseDetectorConfig):

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@ -9,6 +9,7 @@ import numpy as np
from pydantic import Field
from typing_extensions import Literal
from frigate.const import MODEL_CACHE_DIR
from frigate.detectors.detection_api import DetectionApi
from frigate.detectors.detector_config import (
BaseDetectorConfig,
@ -116,7 +117,7 @@ class ROCmDetector(DetectionApi):
logger.info(f"AMD/ROCm: saving parsed model into {mxr_path}")
os.makedirs("/config/model_cache/rocm", exist_ok=True)
os.makedirs(os.path.join(MODEL_CACHE_DIR, "rocm"), exist_ok=True)
migraphx.save(self.model, mxr_path)
logger.info("AMD/ROCm: model loaded")

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@ -1,10 +1,12 @@
"""Convenience runner for onnx models."""
import logging
import os.path
from typing import Any
import onnxruntime as ort
from frigate.const import MODEL_CACHE_DIR
from frigate.util.model import get_ort_providers
try:
@ -32,7 +34,7 @@ class ONNXModelRunner:
self.type = "ov"
self.ov = ov.Core()
self.ov.set_property(
{ov.properties.cache_dir: "/config/model_cache/openvino"}
{ov.properties.cache_dir: os.path.join(MODEL_CACHE_DIR, "openvino")}
)
self.interpreter = self.ov.compile_model(
model=model_path, device_name=device

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@ -16,7 +16,7 @@ import numpy as np
from frigate.comms.config_updater import ConfigSubscriber
from frigate.config import BirdseyeModeEnum, FfmpegConfig, FrigateConfig
from frigate.const import BASE_DIR, BIRDSEYE_PIPE
from frigate.const import BASE_DIR, BIRDSEYE_PIPE, INSTALL_DIR
from frigate.util.image import (
SharedMemoryFrameManager,
copy_yuv_to_position,
@ -297,7 +297,9 @@ class BirdsEyeFrameManager:
birdseye_logo = cv2.imread(custom_logo_files[0], cv2.IMREAD_UNCHANGED)
if birdseye_logo is None:
logo_files = glob.glob("/opt/frigate/frigate/images/birdseye.png")
logo_files = glob.glob(
os.path.join(INSTALL_DIR, "frigate/images/birdseye.png")
)
if len(logo_files) > 0:
birdseye_logo = cv2.imread(logo_files[0], cv2.IMREAD_UNCHANGED)

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@ -10,6 +10,7 @@ from pydantic import Json
from frigate.api.fastapi_app import create_fastapi_app
from frigate.config import FrigateConfig
from frigate.const import BASE_DIR, CACHE_DIR
from frigate.models import Event, Recordings, ReviewSegment
from frigate.review.types import SeverityEnum
from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS
@ -73,19 +74,19 @@ class BaseTestHttp(unittest.TestCase):
"total": 67.1,
"used": 16.6,
},
"/media/frigate/clips": {
os.path.join(BASE_DIR, "clips"): {
"free": 42429.9,
"mount_type": "ext4",
"total": 244529.7,
"used": 189607.0,
},
"/media/frigate/recordings": {
os.path.join(BASE_DIR, "recordings"): {
"free": 0.2,
"mount_type": "ext4",
"total": 8.0,
"used": 7.8,
},
"/tmp/cache": {
CACHE_DIR: {
"free": 976.8,
"mount_type": "tmpfs",
"total": 1000.0,

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@ -854,9 +854,9 @@ class TestConfig(unittest.TestCase):
assert frigate_config.model.merged_labelmap[0] == "person"
def test_plus_labelmap(self):
with open("/config/model_cache/test", "w") as f:
with open(os.path.join(MODEL_CACHE_DIR, "test"), "w") as f:
json.dump(self.plus_model_info, f)
with open("/config/model_cache/test.json", "w") as f:
with open(os.path.join(MODEL_CACHE_DIR, "test.json"), "w") as f:
json.dump(self.plus_model_info, f)
config = {

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@ -11,6 +11,7 @@ from playhouse.sqliteq import SqliteQueueDatabase
from frigate.api.fastapi_app import create_fastapi_app
from frigate.config import FrigateConfig
from frigate.const import BASE_DIR, CACHE_DIR
from frigate.models import Event, Recordings, Timeline
from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS
@ -74,19 +75,19 @@ class TestHttp(unittest.TestCase):
"total": 67.1,
"used": 16.6,
},
"/media/frigate/clips": {
os.path.join(BASE_DIR, "clips"): {
"free": 42429.9,
"mount_type": "ext4",
"total": 244529.7,
"used": 189607.0,
},
"/media/frigate/recordings": {
os.path.join(BASE_DIR, "recordings"): {
"free": 0.2,
"mount_type": "ext4",
"total": 8.0,
"used": 7.8,
},
"/tmp/cache": {
CACHE_DIR: {
"free": 976.8,
"mount_type": "tmpfs",
"total": 1000.0,

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@ -14,7 +14,7 @@ from frigate.util.services import get_video_properties
logger = logging.getLogger(__name__)
CURRENT_CONFIG_VERSION = "0.16-0"
DEFAULT_CONFIG_FILE = "/config/config.yml"
DEFAULT_CONFIG_FILE = os.path.join(CONFIG_DIR, "config.yml")
def find_config_file() -> str:

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@ -7,6 +7,8 @@ import cv2
import numpy as np
import onnxruntime as ort
from frigate.const import MODEL_CACHE_DIR
logger = logging.getLogger(__name__)
@ -105,7 +107,8 @@ def get_ort_providers(
# so it is not enabled by default
if device == "Tensorrt":
os.makedirs(
"/config/model_cache/tensorrt/ort/trt-engines", exist_ok=True
os.path.join(MODEL_CACHE_DIR, "tensorrt/ort/trt-engines"),
exist_ok=True,
)
device_id = 0 if not device.isdigit() else int(device)
providers.append(provider)
@ -116,19 +119,23 @@ def get_ort_providers(
and os.environ.get("USE_FP_16", "True") != "False",
"trt_timing_cache_enable": True,
"trt_engine_cache_enable": True,
"trt_timing_cache_path": "/config/model_cache/tensorrt/ort",
"trt_engine_cache_path": "/config/model_cache/tensorrt/ort/trt-engines",
"trt_timing_cache_path": os.path.join(
MODEL_CACHE_DIR, "tensorrt/ort"
),
"trt_engine_cache_path": os.path.join(
MODEL_CACHE_DIR, "tensorrt/ort/trt-engines"
),
}
)
else:
continue
elif provider == "OpenVINOExecutionProvider":
os.makedirs("/config/model_cache/openvino/ort", exist_ok=True)
os.makedirs(os.path.join(MODEL_CACHE_DIR, "openvino/ort"), exist_ok=True)
providers.append(provider)
options.append(
{
"arena_extend_strategy": "kSameAsRequested",
"cache_dir": "/config/model_cache/openvino/ort",
"cache_dir": os.path.join(MODEL_CACHE_DIR, "openvino/ort"),
"device_type": device,
}
)