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# Use NVIDIA CUDA base image for GPU support
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6+PTX"
# Install system dependencies
RUN apt-get update && apt-get install -y \
python3 \
python3-pip \
python3-dev \
git \
wget \
curl \
build-essential \
cmake \
libgl1-mesa-glx \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libgomp1 \
libgcc-s1 \
&& rm -rf /var/lib/apt/lists/*
# Create working directory
WORKDIR /app
# Copy requirements first (for better Docker layer caching)
COPY requirements.txt .
# Install Python dependencies
RUN pip3 install --no-cache-dir --upgrade pip setuptools wheel
RUN pip3 install --no-cache-dir -r requirements.txt
# Go back to app directory
WORKDIR /app
# Copy the application code
COPY . .
# Set up DepthAnythingV2
#WORKDIR /app/Depth-Anything-V2
#RUN pip3 install -e .
#WORKDIR /app
# Create directories for models and cache
RUN mkdir -p /app/models /root/.cache
# Download DepthAnythingV2 weights (you can add this step or mount as volume)
# Uncomment the line below if you want to download weights during build
# RUN wget -O depth_anything_v2_metric_vkitti_vitl.pth https://huggingface.co/depth-anything/Depth-Anything-V2-Metric-VKITTI-Small/resolve/main/depth_anything_v2_metric_vkitti_vitl.pth
# Expose the port
EXPOSE 7860
# Set the entry point
CMD ["python3", "enhanced_app.py"] |