126 lines
4.4 KiB
Python
126 lines
4.4 KiB
Python
from __future__ import annotations
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import json
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import time
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from datetime import datetime
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from pathlib import Path
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from typing import Any
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import cv2
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import numpy as np
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def timestamp_name() -> str:
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return datetime.now().strftime("%Y%m%d_%H%M%S")
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def write_metadata(media_path: Path, metadata: dict[str, Any]) -> Path:
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json_path = media_path.with_suffix(".json")
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with json_path.open("w", encoding="utf-8") as metadata_file:
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json.dump(metadata, metadata_file, indent=2, ensure_ascii=False)
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metadata_file.write("\n")
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return json_path
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class MediaStore:
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def __init__(self, config: dict[str, Any], app_config: Any) -> None:
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self.config = config
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self.app_config = app_config
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def photo_path(self) -> Path:
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capture_cfg = self.config["capture"]
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directory = self.app_config.resolve_path(capture_cfg["photos_dir"])
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directory.mkdir(parents=True, exist_ok=True)
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extension = capture_cfg.get("image_extension", "jpg").lstrip(".")
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return directory / f"{timestamp_name()}.{extension}"
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def video_path(self) -> Path:
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capture_cfg = self.config["capture"]
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directory = self.app_config.resolve_path(capture_cfg["videos_dir"])
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directory.mkdir(parents=True, exist_ok=True)
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extension = capture_cfg.get("video_extension", "mp4").lstrip(".")
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return directory / f"{timestamp_name()}.{extension}"
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def save_photo(self, frame_bgr: np.ndarray, metadata: dict[str, Any]) -> Path:
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path = self.photo_path()
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cv2.imwrite(str(path), frame_bgr)
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write_metadata(path, metadata)
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return path
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class VideoRecorder:
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def __init__(self, config: dict[str, Any], app_config: Any) -> None:
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self.config = config
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self.app_config = app_config
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self.path: Path | None = None
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self.writer: cv2.VideoWriter | None = None
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self.started_at: str | None = None
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self.started_monotonic: float | None = None
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self.fps = 0.0
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self.frames_written = 0
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self.last_frame: np.ndarray | None = None
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@property
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def is_recording(self) -> bool:
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return self.writer is not None
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def start(self, frame_bgr: np.ndarray) -> Path:
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if self.writer is not None:
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raise RuntimeError("Nagrywanie juz trwa")
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capture_cfg = self.config["capture"]
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self.path = MediaStore(self.config, self.app_config).video_path()
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h, w = frame_bgr.shape[:2]
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self.fps = float(self.config["camera"].get("fps", 30))
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codec = str(capture_cfg.get("video_codec", "mp4v"))
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fourcc = cv2.VideoWriter_fourcc(*codec[:4])
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self.writer = cv2.VideoWriter(str(self.path), fourcc, self.fps, (w, h))
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if not self.writer.isOpened():
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self.writer = None
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raise RuntimeError("Nie mozna uruchomic zapisu wideo")
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self.started_at = datetime.now().isoformat(timespec="seconds")
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self.started_monotonic = time.monotonic()
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self.frames_written = 0
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self.last_frame = None
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self.write(frame_bgr)
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return self.path
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def write(self, frame_bgr: np.ndarray) -> None:
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if self.writer is None or self.started_monotonic is None:
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return
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elapsed = max(0.0, time.monotonic() - self.started_monotonic)
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target_frames = max(1, int(elapsed * self.fps) + 1)
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frame = frame_bgr.copy()
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while self.frames_written < target_frames:
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self.writer.write(frame)
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self.frames_written += 1
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self.last_frame = frame
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def stop(self, metadata: dict[str, Any]) -> Path | None:
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if self.writer is None:
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return None
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if self.last_frame is not None:
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self.write(self.last_frame)
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self.writer.release()
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self.writer = None
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path = self.path
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if path is not None:
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metadata = {
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**metadata,
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"recording": {
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"started_at": self.started_at,
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"stopped_at": datetime.now().isoformat(timespec="seconds"),
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"fps": self.fps,
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"frames_written": self.frames_written,
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},
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}
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write_metadata(path, metadata)
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self.path = None
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self.started_at = None
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self.started_monotonic = None
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self.fps = 0.0
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self.frames_written = 0
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self.last_frame = None
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return path
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