🚀 [Refactor] Docker structure, move to docker dir

Dockerfile.gpu

@@ -1,129 +0,0 @@
-FROM nvcr.io/nvidia/tensorrt:24.02-py3
-
-ENV DEBIAN_FRONTEND=noninteractive
-ARG USERNAME=user
-ARG WORKDIR=/home/${USERNAME}/workdir
-ARG PYCUDAVER=2022.2.2
-ARG TORCHVER=2.1.0
-ARG TORCHVISIONVER=0.16.0
-ARG ONNXVER=1.16.1
-ARG ONNXRUNTIMEVER=1.18.0
-ARG ONNXSIMVER=0.4.30
-ARG H5PYVER=3.11.0
-ARG PSUTILVER=5.9.8
-ARG CMAKEVER=3.29.3
-ARG FLATBUFFERSVER=23.5.26
-ARG PACKAGINGVER=24.0
-ARG WHEELVER=0.43.0
-
-SHELL ["/bin/bash", "-c"]
-
-COPY requirements.txt /requirements.txt
-
-ENV CUDA_HOME=/usr/local/cuda
-ENV PATH=${PATH}:${CUDA_HOME}/bin
-ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${CUDA_HOME}/lib64
-
-RUN apt-get update \
-    && apt-get install -y \
-        sudo \
-        curl \
-        gcc \
-        git \
-        make \
-        wget \
-        zlib1g \
-        protobuf-compiler \
-        libgl1-mesa-dev \
-        graphviz \
-        python-is-python3 \
-    && apt clean \
-    && rm -rf /var/lib/apt/lists/*
-
-# Make user
-RUN echo "root:root" | chpasswd \
-    && useradd \
-        --create-home \
-        --home-dir /home/${USERNAME} \
-        --shell /bin/bash \
-        --user-group \
-        --groups adm,sudo \
-        ${USERNAME} \
-    && echo "${USERNAME}:${USERNAME}" | chpasswd \
-    && cat /dev/null > /etc/sudoers.d/${USERNAME} \
-    && echo "%${USERNAME}    ALL=(ALL)   NOPASSWD:    ALL" >> \
-        /etc/sudoers.d/${USERNAME} \
-    && mkdir -p ${WORKDIR} \
-    && chown ${USERNAME}:${USERNAME} ${WORKDIR}
-
-USER ${USERNAME}
-WORKDIR ${WORKDIR}
-
-# Install Torch
-RUN pip install \
-    --index-url https://download.pytorch.org/whl/cu121 \
-    torch==${TORCHVER} \
-    torchvision==${TORCHVISIONVER}
-
-# Install other pip packages
-RUN pip install \
-        psutil==${PSUTILVER} \
-        onnx==${ONNXVER} \
-        pycuda==${PYCUDAVER} \
-        onnxsim==${ONNXSIMVER} \
-        h5py==${H5PYVER} \
-        flatbuffers==${FLATBUFFERSVER} \
-        cmake==${CMAKEVER} \
-        packaging==${PACKAGINGVER} \
-        wheel==${WHEELVER} \
-    && sudo rm /usr/local/bin/cmake
-
-# Install onnx-tensorrt
-RUN git clone -b release/8.6-GA --recursive https://github.com/onnx/onnx-tensorrt ../onnx-tensorrt \
-    && export PATH=${PATH}:${HOME}/.local/bin \
-    && pushd ../onnx-tensorrt \
-    && mkdir -p build \
-    && pushd build \
-    && cmake .. -DTENSORRT_ROOT=/usr/src/tensorrt \
-    && make -j$(nproc) \
-    && sudo make install \
-    && popd \
-    && popd \
-    && echo 'pushd ../onnx-tensorrt > /dev/null' >> ~/.bashrc \
-    # At docker build time, setup.py fails because NVIDIA's physical GPU device cannot be detected.
-    # Therefore, a workaround is applied to configure setup.py to run on first access.
-    && echo 'python setup.py install --user 1>/dev/null 2>/dev/null' >> ~/.bashrc \
-    && echo 'popd > /dev/null' >> ~/.bashrc \
-    && echo 'export CUDA_MODULE_LOADING=LAZY' >> ~/.bashrc \
-    && echo 'export PATH=${PATH}:/usr/src/tensorrt/bin:${HOME}/onnx-tensorrt/build' >> ~/.bashrc
-
-# Build onnxruntime-gpu / Install onnxruntime-gpu
-RUN git clone -b v${ONNXRUNTIMEVER} https://github.com/microsoft/onnxruntime.git \
-    && pushd onnxruntime \
-    && export PATH=${PATH}:${HOME}/.local/bin \
-    && sudo chmod +x build.sh \
-    && \
-    ./build.sh \
-        --config Release \
-        --cudnn_home /usr/lib/x86_64-linux-gnu/ \
-        --cuda_home /usr/local/cuda \
-        --use_tensorrt \
-        --use_cuda \
-        --tensorrt_home /usr/src/tensorrt/ \
-        --enable_pybind \
-        --build_wheel \
-        --parallel $(nproc) \
-        --skip_tests \
-    && pip install nvidia-pyindex \
-    && pip install onnx-graphsurgeon \
-    && pip install simple_onnx_processing_tools \
-    && pip uninstall onnxruntime onnxruntime-gpu \
-    && pip install --user build/Linux/Release/dist/onnxruntime_gpu-${ONNXRUNTIMEVER}-cp310-cp310-linux_x86_64.whl \
-    && popd \
-    && rm -rf onnxruntime
-
-# Install requirements
-RUN pip install -r /requirements.txt
-
-# Setting pip package path
-RUN echo 'export PATH=${PATH}:${HOME}/.local/bin' >> ~/.bashrc

Dockerfile.cpu → docker/Dockerfile

@@ -1,23 +1,11 @@
-FROM ubuntu:22.04
+ARG BASE_IMG=nvidia/cuda:12.4.1-devel-ubuntu22.04
+FROM ${BASE_IMG}
 
-ENV DEBIAN_FRONTEND=noninteractive
 ARG USERNAME=user
-ARG WORKDIR=/home/${USERNAME}/workdir
-ARG TORCHVER=2.1.0
-ARG TORCHVISIONVER=0.16.0
-ARG ONNXVER=1.16.1
-ARG ONNXRUNTIMEVER=1.18.0
-ARG ONNXSIMVER=0.4.30
-ARG H5PYVER=3.11.0
-ARG PSUTILVER=5.9.8
-ARG CMAKEVER=3.29.3
-ARG FLATBUFFERSVER=23.5.26
-ARG PACKAGINGVER=24.0
-ARG WHEELVER=0.43.0
+ARG WORKDIR=/home/${USERNAME}/YOLO
 
 SHELL ["/bin/bash", "-c"]
 
-COPY requirements.txt /requirements.txt
 
 ENV CUDA_HOME=/usr/local/cuda
 ENV PATH=${PATH}:${CUDA_HOME}/bin
@@ -59,26 +47,18 @@ RUN echo "root:root" | chpasswd \
 USER ${USERNAME}
 WORKDIR ${WORKDIR}
 
-# Install Torch
-RUN pip install \
-    --index-url https://download.pytorch.org/whl/cpu \
-    torch==${TORCHVER} \
-    torchvision==${TORCHVISIONVER}
+COPY docker/requirements-locked.txt /app/requirements-locked.txt
+COPY requirements.txt /app/requirements.txt
 
-# Install other pip packages
-RUN pip install \
-        psutil==${PSUTILVER} \
-        onnx==${ONNXVER} \
-        onnxruntime==${ONNXRUNTIMEVER} \
-        onnxsim==${ONNXSIMVER} \
-        h5py==${H5PYVER} \
-        flatbuffers==${FLATBUFFERSVER} \
-        cmake==${CMAKEVER} \
-        packaging==${PACKAGINGVER} \
-        wheel==${WHEELVER}
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r /app/requirements-locked.txt
+RUN pip install --no-cache-dir -r /app/requirements.txt
 
-# Install requirements
-RUN pip install -r /requirements.txt
 
-# Setting pip package path
+RUN git clone https://github.com/WongKinYiu/YOLO.git .
+
+# Ensure pip-installed packages are available in the PATH
 RUN echo 'export PATH=${PATH}:${HOME}/.local/bin' >> ~/.bashrc
+
+# Optional: Source .bashrc to apply changes in the current session
+RUN source ~/.bashrc

docker/requirements-locked.txt

@@ -0,0 +1,5 @@
+pycocotools==2.0.7
+torch==2.2.1
+torchvision==0.17.1
+setuptools>=60.0
+numpy==1.23.5