Added docker file

Dockerfile

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+# Base image with Python >= 3.10
+FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
+
+# Set environment variables
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+ENV PATH="/root/.local/bin:${PATH}"
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3.10 python3.10-dev python3-pip \
+    git wget unzip ffmpeg libjpeg-dev libopencv-dev && \
+    rm -rf /var/lib/apt/lists/*
+
+# Set Python alias
+RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 && \
+    update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1
+
+# Upgrade pip and install PyTorch and TorchVision
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+
+# Create workspace directory
+WORKDIR /workspace
+
+# Clone the SAM 2 repository
+RUN git clone https://github.com/MlLearnerAkash/samurai.git && \
+    cd samurai/sam2 && pip install -e . && pip install -e ".[notebooks]"
+
+# Install additional Python dependencies
+RUN pip install --no-cache-dir matplotlib==3.7 tikzplotlib jpeg4py opencv-python lmdb pandas scipy
+
+# Download checkpoints
+WORKDIR /workspace/samurai/sam2/checkpoints
+RUN chmod +x download_ckpts.sh && \
+    ./download_ckpts.sh \
+
+# Copy data preparation script or mount your dataset
+WORKDIR /workspace/samurai/data
+# Make sure to structure your data according to the format described in the instructions
+
+# Set the default working directory
+WORKDIR /workspace/samurai
+
+# Default command (you can override this when running the container)
+# CMD ["python", "scripts/main_inference.py"