FROM python:3.11-slim # System deps for OpenCV and MediaPipe RUN apt-get update && apt-get install -y --no-install-recommends \ libgl1 libglib2.0-0 libsm6 libxext6 libxrender1 wget unzip git \ libegl1 libgles2 libgomp1 \ g++ && \ rm -rf /var/lib/apt/lists/* WORKDIR /app # Install Python dependencies COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt # MiVOLO was tried for age regression but its codepath imports # functions removed from modern timm (remap_checkpoint). Reverted to # InsightFace's bundled genderage head with piecewise calibration — # see _calibrate_age in analyzers/insightface_analyzer.py. # Pre-download MediaPipe model at build time so first request is fast. # Hugging Face models (Ethnicity ViT, SegFormer, HSEmotion, ObstructionViT, # HairTypeViT) and the InsightFace buffalo_l bundle are pulled lazily on # first request and cached in /root/.cache for the lifetime of the # container. RUN mkdir -p models && \ wget -q -O models/face_landmarker.task \ "https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/latest/face_landmarker.task" # Pre-download InsightFace buffalo_l bundle (detection + recognition + # 106 landmarks) so the first /analyze call doesn't pay the ~280MB # download. The bundle auto-extracts under ~/.insightface/models/ on # first use. RUN mkdir -p /root/.insightface/models && \ wget -q -O /root/.insightface/models/buffalo_l.zip \ "https://github.com/deepinsight/insightface/releases/download/v0.7/buffalo_l.zip" && \ cd /root/.insightface/models && unzip -q buffalo_l.zip -d buffalo_l && rm buffalo_l.zip # MiVOLO checkpoint is too large for the Docker image (~300 MB) — it's # lazy-downloaded from HF Hub on first AgeAnalyzer init, via # AGE_HF_REPO_ID (defaults to iitolstykh/mivolo_d1). To bundle it at # build time instead, uncomment the lines below and pin the filename. # RUN mkdir -p models && \ # wget -q -O models/mivolo_d1.pth.tar \ # "https://huggingface.co/iitolstykh/mivolo_d1/resolve/main/mivolo_d1.pth.tar" COPY . . EXPOSE 7860 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]