mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-03-04 00:17:22 +01:00
Reuse constants (#16874)
This commit is contained in:
parent
06d6e21de8
commit
458134de5d
@ -31,6 +31,7 @@ from frigate.config import FrigateConfig
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from frigate.const import (
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CACHE_DIR,
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CLIPS_DIR,
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INSTALL_DIR,
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MAX_SEGMENT_DURATION,
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PREVIEW_FRAME_TYPE,
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RECORD_DIR,
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@ -155,7 +156,9 @@ def latest_frame(
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frame_processor.get_current_frame_time(camera_name) + retry_interval
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):
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if request.app.camera_error_image is None:
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error_image = glob.glob("/opt/frigate/frigate/images/camera-error.jpg")
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error_image = glob.glob(
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os.path.join(INSTALL_DIR, "frigate/images/camera-error.jpg")
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)
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if len(error_image) > 0:
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request.app.camera_error_image = cv2.imread(
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@ -550,7 +553,7 @@ def recording_clip(
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)
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file_name = sanitize_filename(f"playlist_{camera_name}_{start_ts}-{end_ts}.txt")
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file_path = f"/tmp/cache/{file_name}"
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file_path = os.path.join(CACHE_DIR, file_name)
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with open(file_path, "w") as file:
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clip: Recordings
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for clip in recordings:
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@ -9,7 +9,7 @@ from fastapi import APIRouter
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from fastapi.responses import JSONResponse
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from frigate.api.defs.tags import Tags
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from frigate.const import CACHE_DIR, PREVIEW_FRAME_TYPE
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from frigate.const import BASE_DIR, CACHE_DIR, PREVIEW_FRAME_TYPE
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from frigate.models import Previews
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logger = logging.getLogger(__name__)
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@ -52,7 +52,7 @@ def preview_ts(camera_name: str, start_ts: float, end_ts: float):
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clips.append(
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{
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"camera": preview["camera"],
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"src": preview["path"].replace("/media/frigate", ""),
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"src": preview["path"].replace(BASE_DIR, ""),
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"type": "video/mp4",
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"start": preview["start_time"],
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"end": preview["end_time"],
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@ -1,6 +1,7 @@
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import os
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import re
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INSTALL_DIR = "/opt/frigate"
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CONFIG_DIR = "/config"
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DEFAULT_DB_PATH = f"{CONFIG_DIR}/frigate.db"
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MODEL_CACHE_DIR = f"{CONFIG_DIR}/model_cache"
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@ -76,14 +76,16 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
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def __build_detector(self) -> None:
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self.face_detector = cv2.FaceDetectorYN.create(
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"/config/model_cache/facedet/facedet.onnx",
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os.path.join(MODEL_CACHE_DIR, "facedet/facedet.onnx"),
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config="",
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input_size=(320, 320),
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score_threshold=0.8,
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nms_threshold=0.3,
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)
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self.landmark_detector = cv2.face.createFacemarkLBF()
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self.landmark_detector.loadModel("/config/model_cache/facedet/landmarkdet.yaml")
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self.landmark_detector.loadModel(
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os.path.join(MODEL_CACHE_DIR, "facedet/landmarkdet.yaml")
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)
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def __build_classifier(self) -> None:
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if not self.landmark_detector:
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@ -9,7 +9,7 @@ import requests
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from pydantic import BaseModel, ConfigDict, Field
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from pydantic.fields import PrivateAttr
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from frigate.const import DEFAULT_ATTRIBUTE_LABEL_MAP
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from frigate.const import DEFAULT_ATTRIBUTE_LABEL_MAP, MODEL_CACHE_DIR
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from frigate.plus import PlusApi
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from frigate.util.builtin import generate_color_palette, load_labels
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@ -123,7 +123,7 @@ class ModelConfig(BaseModel):
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return
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model_id = self.path[7:]
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self.path = f"/config/model_cache/{model_id}"
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self.path = os.path.join(MODEL_CACHE_DIR, model_id)
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model_info_path = f"{self.path}.json"
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# download the model if it doesn't exist
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@ -22,6 +22,7 @@ except ModuleNotFoundError:
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from pydantic import BaseModel, Field
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from typing_extensions import Literal
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from frigate.const import MODEL_CACHE_DIR
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from frigate.detectors.detection_api import DetectionApi
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from frigate.detectors.detector_config import BaseDetectorConfig
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@ -57,7 +58,7 @@ class HailoDetector(DetectionApi):
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self.h8l_tensor_format = detector_config.model.input_tensor
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self.h8l_pixel_format = detector_config.model.input_pixel_format
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self.model_url = "https://hailo-model-zoo.s3.eu-west-2.amazonaws.com/ModelZoo/Compiled/v2.11.0/hailo8l/ssd_mobilenet_v1.hef"
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self.cache_dir = "/config/model_cache/h8l_cache"
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self.cache_dir = os.path.join(MODEL_CACHE_DIR, "h8l_cache")
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self.expected_model_filename = "ssd_mobilenet_v1.hef"
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output_type = "FLOAT32"
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@ -7,6 +7,7 @@ import openvino.properties as props
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from pydantic import Field
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from typing_extensions import Literal
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from frigate.const import MODEL_CACHE_DIR
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from frigate.detectors.detection_api import DetectionApi
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from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
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from frigate.util.model import post_process_yolov9
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@ -41,8 +42,10 @@ class OvDetector(DetectionApi):
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logger.error(f"OpenVino model file {detector_config.model.path} not found.")
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raise FileNotFoundError
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os.makedirs("/config/model_cache/openvino", exist_ok=True)
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self.ov_core.set_property({props.cache_dir: "/config/model_cache/openvino"})
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os.makedirs(os.path.join(MODEL_CACHE_DIR, "openvino"), exist_ok=True)
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self.ov_core.set_property(
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{props.cache_dir: os.path.join(MODEL_CACHE_DIR, "openvino")}
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)
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self.interpreter = self.ov_core.compile_model(
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model=detector_config.model.path, device_name=detector_config.device
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)
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@ -6,6 +6,7 @@ from typing import Literal
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from pydantic import Field
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from frigate.const import MODEL_CACHE_DIR
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from frigate.detectors.detection_api import DetectionApi
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from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
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@ -17,7 +18,7 @@ supported_socs = ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588"]
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supported_models = {ModelTypeEnum.yolonas: "^deci-fp16-yolonas_[sml]$"}
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model_cache_dir = "/config/model_cache/rknn_cache/"
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model_cache_dir = os.path.join(MODEL_CACHE_DIR, "rknn_cache/")
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class RknnDetectorConfig(BaseDetectorConfig):
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@ -9,6 +9,7 @@ import numpy as np
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from pydantic import Field
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from typing_extensions import Literal
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from frigate.const import MODEL_CACHE_DIR
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from frigate.detectors.detection_api import DetectionApi
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from frigate.detectors.detector_config import (
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BaseDetectorConfig,
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@ -116,7 +117,7 @@ class ROCmDetector(DetectionApi):
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logger.info(f"AMD/ROCm: saving parsed model into {mxr_path}")
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os.makedirs("/config/model_cache/rocm", exist_ok=True)
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os.makedirs(os.path.join(MODEL_CACHE_DIR, "rocm"), exist_ok=True)
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migraphx.save(self.model, mxr_path)
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logger.info("AMD/ROCm: model loaded")
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@ -1,10 +1,12 @@
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"""Convenience runner for onnx models."""
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import logging
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import os.path
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from typing import Any
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import onnxruntime as ort
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from frigate.const import MODEL_CACHE_DIR
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from frigate.util.model import get_ort_providers
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try:
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@ -32,7 +34,7 @@ class ONNXModelRunner:
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self.type = "ov"
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self.ov = ov.Core()
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self.ov.set_property(
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{ov.properties.cache_dir: "/config/model_cache/openvino"}
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{ov.properties.cache_dir: os.path.join(MODEL_CACHE_DIR, "openvino")}
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)
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self.interpreter = self.ov.compile_model(
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model=model_path, device_name=device
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@ -16,7 +16,7 @@ import numpy as np
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from frigate.comms.config_updater import ConfigSubscriber
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from frigate.config import BirdseyeModeEnum, FfmpegConfig, FrigateConfig
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from frigate.const import BASE_DIR, BIRDSEYE_PIPE
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from frigate.const import BASE_DIR, BIRDSEYE_PIPE, INSTALL_DIR
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from frigate.util.image import (
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SharedMemoryFrameManager,
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copy_yuv_to_position,
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@ -297,7 +297,9 @@ class BirdsEyeFrameManager:
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birdseye_logo = cv2.imread(custom_logo_files[0], cv2.IMREAD_UNCHANGED)
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if birdseye_logo is None:
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logo_files = glob.glob("/opt/frigate/frigate/images/birdseye.png")
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logo_files = glob.glob(
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os.path.join(INSTALL_DIR, "frigate/images/birdseye.png")
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)
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if len(logo_files) > 0:
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birdseye_logo = cv2.imread(logo_files[0], cv2.IMREAD_UNCHANGED)
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@ -10,6 +10,7 @@ from pydantic import Json
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from frigate.api.fastapi_app import create_fastapi_app
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from frigate.config import FrigateConfig
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from frigate.const import BASE_DIR, CACHE_DIR
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from frigate.models import Event, Recordings, ReviewSegment
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from frigate.review.types import SeverityEnum
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from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS
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@ -73,19 +74,19 @@ class BaseTestHttp(unittest.TestCase):
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"total": 67.1,
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"used": 16.6,
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},
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"/media/frigate/clips": {
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os.path.join(BASE_DIR, "clips"): {
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"free": 42429.9,
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"mount_type": "ext4",
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"total": 244529.7,
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"used": 189607.0,
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},
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"/media/frigate/recordings": {
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os.path.join(BASE_DIR, "recordings"): {
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"free": 0.2,
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"mount_type": "ext4",
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"total": 8.0,
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"used": 7.8,
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},
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"/tmp/cache": {
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CACHE_DIR: {
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"free": 976.8,
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"mount_type": "tmpfs",
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"total": 1000.0,
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@ -854,9 +854,9 @@ class TestConfig(unittest.TestCase):
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assert frigate_config.model.merged_labelmap[0] == "person"
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def test_plus_labelmap(self):
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with open("/config/model_cache/test", "w") as f:
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with open(os.path.join(MODEL_CACHE_DIR, "test"), "w") as f:
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json.dump(self.plus_model_info, f)
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with open("/config/model_cache/test.json", "w") as f:
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with open(os.path.join(MODEL_CACHE_DIR, "test.json"), "w") as f:
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json.dump(self.plus_model_info, f)
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config = {
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@ -11,6 +11,7 @@ from playhouse.sqliteq import SqliteQueueDatabase
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from frigate.api.fastapi_app import create_fastapi_app
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from frigate.config import FrigateConfig
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from frigate.const import BASE_DIR, CACHE_DIR
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from frigate.models import Event, Recordings, Timeline
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from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS
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@ -74,19 +75,19 @@ class TestHttp(unittest.TestCase):
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"total": 67.1,
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"used": 16.6,
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},
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"/media/frigate/clips": {
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os.path.join(BASE_DIR, "clips"): {
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"free": 42429.9,
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"mount_type": "ext4",
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"total": 244529.7,
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"used": 189607.0,
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},
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"/media/frigate/recordings": {
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os.path.join(BASE_DIR, "recordings"): {
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"free": 0.2,
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"mount_type": "ext4",
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"total": 8.0,
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"used": 7.8,
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},
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"/tmp/cache": {
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CACHE_DIR: {
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"free": 976.8,
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"mount_type": "tmpfs",
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"total": 1000.0,
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@ -14,7 +14,7 @@ from frigate.util.services import get_video_properties
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logger = logging.getLogger(__name__)
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CURRENT_CONFIG_VERSION = "0.16-0"
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DEFAULT_CONFIG_FILE = "/config/config.yml"
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DEFAULT_CONFIG_FILE = os.path.join(CONFIG_DIR, "config.yml")
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def find_config_file() -> str:
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@ -7,6 +7,8 @@ import cv2
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import numpy as np
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import onnxruntime as ort
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from frigate.const import MODEL_CACHE_DIR
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logger = logging.getLogger(__name__)
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@ -105,7 +107,8 @@ def get_ort_providers(
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# so it is not enabled by default
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if device == "Tensorrt":
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os.makedirs(
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"/config/model_cache/tensorrt/ort/trt-engines", exist_ok=True
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os.path.join(MODEL_CACHE_DIR, "tensorrt/ort/trt-engines"),
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exist_ok=True,
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)
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device_id = 0 if not device.isdigit() else int(device)
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providers.append(provider)
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@ -116,19 +119,23 @@ def get_ort_providers(
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and os.environ.get("USE_FP_16", "True") != "False",
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"trt_timing_cache_enable": True,
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"trt_engine_cache_enable": True,
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"trt_timing_cache_path": "/config/model_cache/tensorrt/ort",
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"trt_engine_cache_path": "/config/model_cache/tensorrt/ort/trt-engines",
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"trt_timing_cache_path": os.path.join(
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MODEL_CACHE_DIR, "tensorrt/ort"
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),
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"trt_engine_cache_path": os.path.join(
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MODEL_CACHE_DIR, "tensorrt/ort/trt-engines"
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),
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}
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)
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else:
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continue
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elif provider == "OpenVINOExecutionProvider":
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os.makedirs("/config/model_cache/openvino/ort", exist_ok=True)
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os.makedirs(os.path.join(MODEL_CACHE_DIR, "openvino/ort"), exist_ok=True)
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providers.append(provider)
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options.append(
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{
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"arena_extend_strategy": "kSameAsRequested",
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"cache_dir": "/config/model_cache/openvino/ort",
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"cache_dir": os.path.join(MODEL_CACHE_DIR, "openvino/ort"),
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"device_type": device,
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}
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)
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