add Dockerfile

README.md

@@ -21,6 +21,7 @@ Our model checkpoints trained on [VITON-HD](https://github.com/shadow2496/VITON-
 ![workflow](images/workflow.png) 
 
 ## Installation
+### Source
 1. Clone the repository
 
 ```sh
@@ -36,6 +37,15 @@ pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2
 pip install -r requirements.txt
 ```
 
+### Docker
+make sure install [docker](https://docs.docker.com/engine/install/ubuntu/) and [nvidia-docker2](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)
+```sh
+make build              # build a image version
+make test               # Test whether the built image can enable CUDA
+make deploy             # Deploy ootd project
+make exec               # Enter the ootd container (configure the environment + download all necessary models in the checkpoints folder by yourself), follow the Inference in the readme
+```
+
 ## Inference
 1. Half-body model
 

dockerfile

@@ -0,0 +1,53 @@
+# (以wubuntu22.04 & python=3.10 & CUDA=11.8为例)：
+FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
+# 安装git
+RUN apt-get update
+# 设置工作目录（容器内的指定目录）
+WORKDIR /app
+
+### 安装python 3.10.8 和 pip
+ENV TZ=Asia/Shanghai
+RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
+
+RUN apt-get install -y --no-install-recommends \
+    build-essential \
+    libffi-dev \
+    libssl-dev \
+    zlib1g-dev \
+    libbz2-dev \
+    libreadline-dev \
+    libsqlite3-dev \
+    wget \
+    curl \
+    llvm \
+    libncursesw5-dev \
+    tk-dev \
+    libxml2-dev \
+    libxmlsec1-dev \
+    liblzma-dev \
+    ca-certificates \
+    && curl -O https://www.python.org/ftp/python/3.10.8/Python-3.10.8.tgz \
+    && tar -xzf Python-3.10.8.tgz \
+    && cd Python-3.10.8 \
+    && ./configure --enable-optimizations \
+    && make -j $(nproc) \
+    && make altinstall \
+    && cd .. \
+    && rm -rf Python-3.10.8.tgz Python-3.10.8 \
+    && ln -s /usr/local/bin/python3.10 /usr/local/bin/python \
+    && ln -s /usr/local/bin/pip3.10 /usr/local/bin/pip \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 -i https://mirrors.aliyun.com/pypi/simple/\
+    && apt-get update && apt-get install -y libgl1-mesa-glx
+
+# 克隆特定版本的代码
+COPY . /app
+
+RUN pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
+
+
+
+
+

makefile

@@ -0,0 +1,44 @@
+all: help
+
+help:
+	@echo ""
+	@echo "   -- Help Menu: step by step"
+	@echo ""
+	@echo "   1. make build              - build a image version"
+	@echo "   2. make test               - Test whether the built image can enable CUDA"
+	@echo "   3. make deploy             - Deploy ootd project"
+	@echo "   4. make exec               - Enter the ootd container(The container has already configured the software environment), please download all necessary models in the checkpoints folder by yourself, follow the Inference in the readme"
+	@echo ""
+
+username=st
+BASE_IMAGE_NAME=nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
+NAME=ootd
+VERSION=v0.0.2
+CONTAINER_NAME=ootd
+half:
+	@python run_ootd.py --model_path ./examples/model/01008_00.jpg --cloth_path ./examples/garment/00055_00.jpg --scale 2.0 --sample 4
+exec:
+	@docker exec -it ${CONTAINER_NAME} /bin/bash
+
+deploy:
+	@docker run -itd --gpus all \
+		--name ${CONTAINER_NAME} \
+		-p 7865:7865 \
+		-v .:/app \
+		${NAME}:${VERSION} /bin/bash
+test:
+	@docker run -it --rm \
+		--gpus all \
+		--name test \
+		${NAME}:${VERSION} nvidia-smi
+build:
+	@docker build -t ${NAME}:${VERSION} .
+
+stop:
+	@docker stop ${CONTAINER_NAME}
+clean: stop
+	@docker rm ${CONTAINER_NAME}
+
+hello:
+	@echo "makefile,$(username), hello world !"
+