mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
b7b7e1b78b
* Add basic config and face recognition table * Reconfigure updates processing to handle face * Crop frame to face box * Implement face embedding calculation * Get matching face embeddings * Add support face recognition based on existing faces * Use arcface face embeddings instead of generic embeddings model * Add apis for managing faces * Implement face uploading API * Build out more APIs * Add min area config * Handle larger images * Add more debug logs * fix calculation * Reduce timeout * Small tweaks * Use webp images * Use facenet model
148 lines
4.2 KiB
Python
148 lines
4.2 KiB
Python
import logging
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import os
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import threading
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import time
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from pathlib import Path
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from typing import Callable, List
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import requests
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from frigate.comms.inter_process import InterProcessRequestor
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from frigate.const import UPDATE_MODEL_STATE
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from frigate.types import ModelStatusTypesEnum
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logger = logging.getLogger(__name__)
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class FileLock:
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def __init__(self, path):
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self.path = path
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self.lock_file = f"{path}.lock"
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# we have not acquired the lock yet so it should not exist
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if os.path.exists(self.lock_file):
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try:
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os.remove(self.lock_file)
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except Exception:
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pass
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def acquire(self):
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parent_dir = os.path.dirname(self.lock_file)
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os.makedirs(parent_dir, exist_ok=True)
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while True:
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try:
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with open(self.lock_file, "x"):
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return
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except FileExistsError:
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time.sleep(0.1)
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def release(self):
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try:
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os.remove(self.lock_file)
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except FileNotFoundError:
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pass
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class ModelDownloader:
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def __init__(
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self,
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model_name: str,
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download_path: str,
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file_names: List[str],
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download_func: Callable[[str], None],
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silent: bool = False,
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):
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self.model_name = model_name
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self.download_path = download_path
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self.file_names = file_names
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self.download_func = download_func
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self.silent = silent
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self.requestor = InterProcessRequestor()
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self.download_thread = None
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self.download_complete = threading.Event()
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def ensure_model_files(self):
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self.mark_files_state(
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self.requestor,
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self.model_name,
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self.file_names,
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ModelStatusTypesEnum.downloading,
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)
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self.download_thread = threading.Thread(
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target=self._download_models,
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name=f"_download_model_{self.model_name}",
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daemon=True,
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)
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self.download_thread.start()
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def _download_models(self):
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for file_name in self.file_names:
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path = os.path.join(self.download_path, file_name)
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lock = FileLock(path)
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if not os.path.exists(path):
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lock.acquire()
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try:
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if not os.path.exists(path):
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self.download_func(path)
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finally:
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lock.release()
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self.requestor.send_data(
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UPDATE_MODEL_STATE,
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{
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"model": f"{self.model_name}-{file_name}",
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"state": ModelStatusTypesEnum.downloaded,
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},
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)
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self.requestor.stop()
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self.download_complete.set()
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@staticmethod
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def download_from_url(url: str, save_path: str, silent: bool = False) -> Path:
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temporary_filename = Path(save_path).with_name(
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os.path.basename(save_path) + ".part"
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)
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temporary_filename.parent.mkdir(parents=True, exist_ok=True)
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if not silent:
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logger.info(f"Downloading model file from: {url}")
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try:
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with requests.get(url, stream=True, allow_redirects=True) as r:
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r.raise_for_status()
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with open(temporary_filename, "wb") as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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temporary_filename.rename(save_path)
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except Exception as e:
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logger.error(f"Error downloading model: {str(e)}")
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raise
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if not silent:
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logger.info(f"Downloading complete: {url}")
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return Path(save_path)
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@staticmethod
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def mark_files_state(
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requestor: InterProcessRequestor,
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model_name: str,
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files: list[str],
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state: ModelStatusTypesEnum,
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) -> None:
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for file_name in files:
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requestor.send_data(
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UPDATE_MODEL_STATE,
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{
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"model": f"{model_name}-{file_name}",
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"state": state,
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},
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)
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def wait_for_download(self):
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self.download_complete.wait()
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