add dockerfile and short readme

docker/Dockerfile

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+# get the development image from nvidia cuda 12.1
+FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu20.04
+
+LABEL name="instantmesh" \
+    maintainer="instantmesh"
+
+# create workspace folder and set it as working directory
+RUN mkdir -p /workspace/instantmesh
+WORKDIR /workspace
+
+# Set the timezone
+ENV DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && \
+    apt-get install -y tzdata && \
+    ln -fs /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
+    dpkg-reconfigure --frontend noninteractive tzdata
+
+# update package lists and install git, wget, vim, libegl1-mesa-dev, and libglib2.0-0
+RUN apt-get update && \
+    apt-get install -y git wget vim libegl1-mesa-dev libglib2.0-0 unzip
+
+# install conda
+RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
+    chmod +x Miniconda3-latest-Linux-x86_64.sh && \
+    ./Miniconda3-latest-Linux-x86_64.sh -b -p /workspace/miniconda3 && \
+    rm Miniconda3-latest-Linux-x86_64.sh
+
+# update PATH environment variable
+ENV PATH="/workspace/miniconda3/bin:${PATH}"
+
+# initialize conda
+RUN conda init bash
+
+# create and activate conda environment
+RUN conda create -n instantmesh python=3.10 && echo "source activate instantmesh" > ~/.bashrc
+ENV PATH /workspace/miniconda3/envs/instantmesh/bin:$PATH
+
+RUN conda install Ninja
+RUN conda install cuda -c nvidia/label/cuda-12.1.0 -y
+
+RUN pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu121
+RUN pip install xformers==0.0.22.post7
+RUN pip install triton
+
+# change the working directory to the repository
+WORKDIR /workspace/instantmesh
+
+# other dependencies
+ADD ./requirements.txt /workspace/instantmesh/requirements.txt
+RUN pip install -r requirements.txt
+
+COPY . /workspace/instantmesh
+
+# Run the command when the container starts
+CMD ["python", "app.py"]

docker/README.md

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+# Docker setup
+
+This docker setup is tested on WSL(Ubuntu).
+
+make sure you are under directory yourworkspace/instantmesh/
+
+run
+
+`docker build -t instantmesh/deploy:cuda12.1 -f docker/Dockerfile .`
+
+then run
+
+`docker run --gpus all -it instantmesh/deploy:cuda12.1`