96 lines
3.8 KiB
Docker
96 lines
3.8 KiB
Docker
FROM nvidia/cuda:12.4.1-runtime-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive
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# Install dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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software-properties-common \
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&& add-apt-repository ppa:deadsnakes/ppa -y \
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&& apt-get update && apt-get install -y --no-install-recommends \
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python3.12 python3.12-venv python3.12-dev \
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libgl1 libglib2.0-0 libxext6 git curl g++ tini \
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&& rm -rf /var/lib/apt/lists/* \
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&& ln -sf /usr/bin/python3.12 /usr/bin/python \
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&& ln -sf /usr/bin/python3.12 /usr/bin/python3
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# Install uv to system path
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh \
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&& cp /root/.local/bin/uv /usr/local/bin/uv \
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&& chmod 755 /usr/local/bin/uv
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WORKDIR /app
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# Clone repo and install dependencies
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RUN git clone --depth 1 https://github.com/sudolulo/if_curator_headless.git . \
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&& uv sync --extra gpu \
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&& uv add croniter \
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&& uv cache clean
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# Apply enhanced upload_to_frigate function in-place
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RUN sed -i '/def upload_to_frigate/,/if failed == total_files/c\
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def upload_to_frigate(jobs: list[dict]) -> None:\
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"""Upload processed face crops to Frigate via API with detailed logging."""\
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frigate_url = os.environ.get("FRIGATE_URL", "")\
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if not frigate_url:\
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rprint("[yellow]⚠️ FRIGATE_URL not set, skipping upload.[/yellow]")\
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return\
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\
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rprint("\\n[bold cyan]📤 Uploading to Frigate[/bold cyan]")\
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rprint(f" Target: [dim]{frigate_url}[/dim]")\
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\
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total_files = 0\
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for job in jobs:\
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name = job["person"]["name"]\
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person_dir = os.path.join(Config.OUTPUT_DIR, name)\
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if not os.path.isdir(person_dir): continue\
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total_files += sum(1 for f in os.listdir(person_dir) if f.lower().endswith((".jpg", ".jpeg", ".png", ".webp")))\
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\
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if total_files == 0:\
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rprint(" [yellow]No images found to upload.[/yellow]")\
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return\
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\
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rprint(f" People: [bold]{len(jobs)}[/bold], Total images: [bold]{total_files}[/bold]")\
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uploaded, failed = 0, 0\
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\
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with Progress(SpinnerColumn(), TextColumn("[progress.description]{task.description}"), BarColumn(), TaskProgressColumn(), console=console) as progress:\
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upload_task = progress.add_task("[green]Uploading to Frigate", total=total_files)\
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for job in jobs:\
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name = job["person"]["name"]\
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encoded_name = quote(name, safe="")\
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person_dir = os.path.join(Config.OUTPUT_DIR, name)\
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person_files = sorted(f for f in os.listdir(person_dir) if f.lower().endswith((".jpg", ".jpeg", ".png", ".webp"))) if os.path.isdir(person_dir) else []\
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for fname in person_files:\
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fpath = os.path.join(person_dir, fname)\
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try:\
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with open(fpath, "rb") as f:\
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resp = requests.post(f"{frigate_url}/api/faces/train/{encoded_name}/classify", files={"file": (fname, f, "image/jpeg")}, timeout=30)\
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if resp.status_code == 200: uploaded += 1\
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else: failed += 1\
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except Exception: failed += 1\
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progress.advance(upload_task)\
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\
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rprint("\\n [bold]Frigate Upload Summary:[/bold]\\n ✅ Succeeded: [green]{uploaded}[/green]\\n ❌ Failed: [red]{failed}[/red]")' /app/if_curator/cli.py
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# Copy scripts
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COPY entrypoint.sh scheduler.py /app/
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RUN chmod +x /app/entrypoint.sh
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# Setup non-root user and persistent model paths
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RUN groupadd -g 568 apps \
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&& useradd -u 568 -g apps -m -s /bin/bash appuser \
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&& mkdir -p /models/.insightface /models/huggingface \
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&& chown -R appuser:apps /app /models
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USER appuser
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# Baked-in configurations
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ENV FORCE_CPU=false \
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HF_HOME=/models/huggingface \
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INSIGHTFACE_HOME=/models
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HEALTHCHECK --interval=5m --timeout=10s --start-period=600s --retries=3 \
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CMD test -f /app/entrypoint.sh || exit 1
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ENTRYPOINT ["tini", "--", "/app/entrypoint.sh"]
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