catvton_openpose

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README.md

+# CatVTON_OpenPose
+
+在原有的`catvton`中添加了`openpose`特征用于指导和衣物重叠的肢体生成。
+
+## 论文
+
+`CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models`
+
+* https://arxiv.org/pdf/2407.15886
+
+
+## 模型结构
+
+该模型基于`stable diffusion`结构，在原有的`catvton`中添加了`openpose`特征用于指导和衣物重叠的肢体生成。
+
+![alt text](readme_imgs/arch.png)
+
+
+## 算法原理
+
+该算法基于`stable diffusion`，去除了多余的网络结构，直接将控制条件作为`Unet`的输入。
+
+![alt text](readme_imgs/alg.png)
+
+## 环境配置
+
+### Docker（方法一）
+    
+    docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.1.0-ubuntu22.04-dtk24.04.2-py3.10
+
+    docker run --shm-size 50g --network=host --name=catvton --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
+
+    pip install -r requirements.txt
+
+### Dockerfile（方法二）
+
+    docker build -t <IMAGE_NAME>:<TAG> .
+
+    docker run --shm-size 50g --network=host --name=catvton --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
+
+    pip install -r requirements.txt
+
+### Anaconda (方法三)
+
+1、关于本项目DCU显卡所需的特殊深度学习库可从光合开发者社区下载安装：
+https://developer.hpccube.com/tool/
+
+    DTK驱动：dtk24.04.2
+    python：python3.10
+    torch: 2.1.0
+    torchvision: 0.16.0
+
+Tips：以上dtk驱动、python、torch等DCU相关工具版本需要严格一一对应
+
+2、其它非特殊库参照requirements.txt安装
+
+    pip install -r requirements.txt
+
+## 数据集
+
+本项目已提供用于测试的tiny_datasets，见`datasets/tiny_datasets`，该数据既可用作训练集，也可用于测试使用。完整数据集见[SCNet高速下载通道](http://113.200.138.88:18080/aidatasets/project-dependency/viton-hd)
+
+```
+datasets
+├── test
+│   ├── test_data.jsonl
+│   └── vitonhd
+│       ├── agnostic-mask
+│       ├── cloth
+│       ├── image
+│       └── openpose_img
+└── train
+    ├── eval_data.jsonl
+    ├── train_data.jsonl
+    └── vitonhd
+        ├── agnostic-mask
+        ├── cloth
+        ├── image
+        └── openpose_img
+```
+注意：`xxx.jsonl`不包含在数据集中，由给定脚本生成（见训练，推理部分）。
+
+
+## 训练
+
+### 数据路径文件准备
+
+```bash
+cd tools
+
+python prepare_data_record.py \
+--person_image_root="/path/to/person_image_dir" \
+--cloth_image_root="/path/to/cloth_dir" \
+--mask_root="/path/to/mask_dir" \
+--extra_condition_image_root="/path/to/extra_condition_image_root" \
+--extra_condition_key="e.g. openpose" \
+--eval_nums=[用于验证的数据量] \
+--save_root="/path/to/save_xxx.jsonl"
+```
+
+### 启动训练
+
+```bash
+# 执行以下命令进行训练配置
+accelerate config
+```
+
+```bash
+cd run && bash scripts/train.sh
+```
+
+注意：在运行前请检查并确保`scripts/train.sh`中配置正确。需要说明的是，该训练代码并非官方代码（未开源），而是根据论文进行复现并进行了优化（添加数据增广等）。
+
+## 推理
+
+```bash
+export HF_ENDPOINT=https://hf-mirror.com
+```
+
+```bash
+cd run && bash scripts/generate_test_sample.sh
+```
+
+注意：在运行前请检查并确保`scripts/generate_test_sample.sh`中配置正确。其中的`xx.jsonl`文件生成可参考`训练-数据路径准备`（eval_nums=0，且后续修改文件名）。
+
+### 指标计算
+
+```bash
+cd run && bash scripts/cal_metrics.sh
+```
+注意：在运行前请检查并确保`scripts/cal_metrics.sh`中配置正确。
+
+## result
+
+|ground truth|openpose|w/o openpose|
+|:---:|:---:|:---:|
+|![alt txt](readme_imgs/gt/05087_00.jpg)|![alt txt](readme_imgs/openpose/05087_00.png)|![alt txt](readme_imgs/empty/05087_00.png)|
+|![alt txt](readme_imgs/gt/06563_00.jpg)|![alt txt](readme_imgs/openpose/06563_00.png)|![alt txt](readme_imgs/empty/06563_00.png)|
+|![alt txt](readme_imgs/gt/11791_00.jpg)|![alt txt](readme_imgs/openpose/11791_00.png)|![alt txt](readme_imgs/empty/11791_00.png)|
+
+### 精度
+
+本项目在dcu加速卡上完成训练。
+
+除`ssim`外，其余指标越低越好。
+
+|| fid   | kid    | ssim  | lpips  |
+|---| ----- | ------ | ----- | ------ |
+|w/o openpose| 5.42  | 0.41   | 0.87  | 0.0565 |
+|w openpose| 5.35  | 0.1327 | 0.865 | 0.06   |
+
+## 应用场景
+
+### 算法类别
+
+`AIGC`
+
+### 热点应用行业
+
+`电商,绘画,广媒`
+
+## 预训练权重
+
+stable-diffusion-inpainting: [huggingface](https://hf-mirror.com/booksforcharlie/stable-diffusion-inpainting/tree/main) | [SCNet高速下载通道](http://113.200.138.88:18080/aimodels/stable-diffusion-inpainting)
+
+catvton-openpose: [SCNet高速下载通道](http://113.200.138.88:18080/aimodels/findsource-dependency/catvton_openpose)
+
+
+## 源码仓库及问题反馈
+
+* https://developer.sourcefind.cn/codes/modelzoo/catvton_openpose_pytorch
+
+## 参考资料
+
+* https://github.com/Zheng-Chong/CatVTON
+