hivision_logo

HivisionIDPhoto

English / [中文](README.md) / [日本語](README_JP.md) / [한국어](README_KO.md) [![][release-shield]][release-link] [![][dockerhub-shield]][dockerhub-link] [![][github-stars-shield]][github-stars-link] [![][github-issues-shield]][github-issues-link] [![][github-contributors-shield]][github-contributors-link] [![][github-forks-shield]][github-forks-link] [![][license-shield]][license-link] [![][wechat-shield]][wechat-link] [![][spaces-shield]][spaces-link] [![][swanhub-demo-shield]][swanhub-demo-link] [![][modelscope-shield]][modelscope-link] [![][modelers-shield]][modelers-link] [![][compshare-shield]][compshare-link] [![][trendshift-shield]][trendshift-link] [![][hellogithub-shield]][hellogithub-link]

> **Related Projects**： > > - [SwanLab](https://github.com/SwanHubX/SwanLab): Used throughout the training of the portrait matting model for analysis and monitoring, as well as collaboration with lab colleagues, significantly improving training efficiency.
# Table of Contents - [Recent Updates](#-recent-updates) - [Project Overview](#-project-overview) - [Community](#-community) - [Preparation](#-preparation) - [Demo Startup](#-run-gradio-demo) - [Python Inference](#-python-inference) - [API Service Deployment](#️-deploy-api-service) - [Docker Deployment](#-docker-deployment) - [Contact Us](#-contact-us) - [Q&A](#qa) - [Contributors](#contributors) - [Thanks for support](#thanks-for-support) - [License](#lincese)
# 🤩 Recent Updates - Online Experience: [![SwanHub Demo](https://img.shields.io/static/v1?label=Demo&message=SwanHub%20Demo&color=blue)](https://swanhub.co/ZeYiLin/HivisionIDPhotos/demo)、[![Spaces](https://img.shields.io/badge/🤗-Open%20in%20Spaces-blue)](https://huggingface.co/spaces/TheEeeeLin/HivisionIDPhotos)、[![][modelscope-shield]][modelscope-link]、[![][compshare-shield]][compshare-link] - 2024.11.20: Gradio Demo adds **Print Layout** option, supports six-inch, five-inch, A4, 3R, and 4R layout sizes - 2024.11.16: API interface adds beauty effect parameter - 2024.09.24: API interface adds base64 image input option | Gradio Demo adds **Layout Photo Cropping Lines** feature - 2024.09.22: Gradio Demo adds **Beast Mode** and **DPI** parameter - 2024.09.18: Gradio Demo adds **Share Template Photos** feature and **American Style** background option - 2024.09.17: Gradio Demo adds **Custom Background Color-HEX Input** feature | **(Community Contribution) C++ Version** - [HivisionIDPhotos-cpp](https://github.com/zjkhahah/HivisionIDPhotos-cpp) contributed by [zjkhahah](https://github.com/zjkhahah) - 2024.09.16: Gradio Demo adds **Face Rotation Alignment** feature, custom size input supports **millimeters** - 2024.09.14: Gradio Demo adds **Custom DPI** feature, adds Japanese and Korean support, adds **Adjust Brightness, Contrast, Sharpness** feature
# Project Overview > 🚀 Thank you for your interest in our work. You may also want to check out our other achievements in the field of image processing, feel free to reach out: zeyi.lin@swanhub.co. HivisionIDPhoto aims to develop a practical and systematic intelligent algorithm for producing ID photos. It utilizes a comprehensive AI model workflow to recognize various user photo-taking scenarios, perform matting, and generate ID photos. **HivisionIDPhoto can achieve:** 1. Lightweight matting (purely offline, fast inference with **CPU** only) 2. Generate standard ID photos and six-inch layout photos based on different size specifications 3. Support pure offline or edge-cloud inference 4. Beauty effects (waiting) 5. Intelligent formal wear change (waiting)
--- If HivisionIDPhoto helps you, please star this repo or recommend it to your friends to solve the urgent ID photo production problem!
# 🏠 Community We have shared some interesting applications and extensions of HivisionIDPhotos built by the community: - [HivisionIDPhotos-ComfyUI](https://github.com/AIFSH/HivisionIDPhotos-ComfyUI): ComfyUI ID photo processing workflow built by [AIFSH](https://github.com/AIFSH/HivisionIDPhotos-ComfyUI) [ComfyUI workflow](https://github.com/AIFSH/HivisionIDPhotos-ComfyUI) - [HivisionIDPhotos-wechat-weapp](https://github.com/no1xuan/HivisionIDPhotos-wechat-weapp): WeChat ID photo mini program, powered by the HivisionIDphotos algorithm, contributed by [no1xuan](https://github.com/no1xuan) [HivisionIDPhotos-wechat-weapp](https://github.com/no1xuan/HivisionIDPhotos-wechat-weapp) - [HivisionIDPhotos-Uniapp](https://github.com/soulerror/HivisionIDPhotos-Uniapp): Front-end of WeChat ID photo mini program based on uniapp, powered by the HivisionIDphotos algorithm, contributed by [soulerror](https://github.com/soulerror) [HivisionIDPhotos-uniapp](https://github.com/soulerror/HivisionIDPhotos-Uniapp) - [HivisionIDPhotos-cpp](https://github.com/zjkhahah/HivisionIDPhotos-cpp): C++ version of HivisionIDphotos, built by [zjkhahah](https://github.com/zjkhahah) - [HivisionIDPhotos-windows-GUI](https://github.com/zhaoyun0071/HivisionIDPhotos-windows-GUI): Windows client application built by [zhaoyun0071](https://github.com/zhaoyun0071) - [HivisionIDPhotos-NAS](https://github.com/ONG-Leo/HivisionIDPhotos-NAS): Chinese tutorial for Synology NAS deployment, contributed by [ONG-Leo](https://github.com/ONG-Leo)
# 🔧 Preparation Environment installation and dependencies: - Python >= 3.7 (project primarily tested on Python 3.10) - OS: Linux, Windows, MacOS ## 1. Clone the Project ```bash git clone https://github.com/Zeyi-Lin/HivisionIDPhotos.git cd HivisionIDPhotos ``` ## 2. Install Dependency Environment > It is recommended to create a python3.10 virtual environment using conda, then execute the following commands ```bash pip install -r requirements.txt pip install -r requirements-app.txt ``` ## 3. Download Weight Files **Method 1: Script Download** ```bash python scripts/download_model.py --models all ``` **Method 2: Direct Download** Store in the project's `hivision/creator/weights` directory: - `modnet_photographic_portrait_matting.onnx` (24.7MB): Official weights of [MODNet](https://github.com/ZHKKKe/MODNet), [download](https://github.com/Zeyi-Lin/HivisionIDPhotos/releases/download/pretrained-model/modnet_photographic_portrait_matting.onnx) - `hivision_modnet.onnx` (24.7MB): Matting model with better adaptability for pure color background replacement, [download](https://github.com/Zeyi-Lin/HivisionIDPhotos/releases/download/pretrained-model/hivision_modnet.onnx) - `rmbg-1.4.onnx` (176.2MB): Open-source matting model from [BRIA AI](https://huggingface.co/briaai/RMBG-1.4), [download](https://huggingface.co/briaai/RMBG-1.4/resolve/main/onnx/model.onnx?download=true) and rename to `rmbg-1.4.onnx` - `birefnet-v1-lite.onnx`(224MB): Open-source matting model from [ZhengPeng7](https://github.com/ZhengPeng7/BiRefNet), [download](https://github.com/ZhengPeng7/BiRefNet/releases/download/v1/BiRefNet-general-bb_swin_v1_tiny-epoch_232.onnx) and rename to `birefnet-v1-lite.onnx` ## 4. Face Detection Model Configuration (Optional) | Extended Face Detection Model | Description | Documentation | | -- | -- | -- | | MTCNN | **Offline** face detection model, high-performance CPU inference, default model, lower detection accuracy | Use it directly after cloning this project | | RetinaFace | **Offline** face detection model, moderate CPU inference speed (in seconds), and high accuracy | [Download](https://github.com/Zeyi-Lin/HivisionIDPhotos/releases/download/pretrained-model/retinaface-resnet50.onnx) and place it in the `hivision/creator/retinaface/weights` directory | | Face++ | Online face detection API launched by Megvii, higher detection accuracy, [official documentation](https://console.faceplusplus.com.cn/documents/4888373) | [Usage Documentation](docs/face++_EN.md)| ## 5. Performance Reference > Test environment: Mac M1 Max 64GB, non-GPU acceleration, test image resolution: 512x715(1) and 764×1146(2). | Model Combination | Memory Occupation | Inference Time (1) | Inference Time (2) | | -- | -- | -- | -- | | MODNet + mtcnn | 410MB | 0.207s | 0.246s | | MODNet + retinaface | 405MB | 0.571s | 0.971s | | birefnet-v1-lite + retinaface | 6.20GB | 7.063s | 7.128s | ## 6. GPU Inference Acceleration (Optional) In the current version, the model that can be accelerated by NVIDIA GPUs is `birefnet-v1-lite`, and please ensure you have around 16GB of VRAM. If you want to use NVIDIA GPU acceleration for inference, after ensuring you have installed CUDA and cuDNN, find the corresponding `onnxruntime-gpu` version to install according to the [onnxruntime-gpu documentation](https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#cuda-12x), and find the corresponding `pytorch` version to install according to the [pytorch official website](https://pytorch.org/get-started/locally/). ```bash # If your computer is installed with CUDA 12.x and cuDNN 8 # Installing torch is optional. If you can't configure cuDNN, try installing torch pip install onnxruntime-gpu==1.18.0 pip install torch --index-url https://download.pytorch.org/whl/cu121 ``` After completing the installation, call the `birefnet-v1-lite` model to utilize GPU acceleration for inference. > TIP: CUDA installations are backward compatible. For example, if your CUDA version is 12.6 but the highest version currently matched by torch is 12.4, it's still possible to install version 12.4 on your computer.
# 🚀 Run Gradio Demo ```bash python app.py ``` Running the program will generate a local web page where you can perform operations and interact with ID photos.
# 🚀 Python Inference Core parameters: - `-i`: Input image path - `-o`: Output image path - `-t`: Inference type, options are idphoto, human_matting, add_background, generate_layout_photos - `--matting_model`: Portrait matting model weight selection - `--face_detect_model`: Face detection model selection More parameters can be viewed by running `python inference.py --help` ## 1. ID Photo Creation Input 1 photo to obtain 1 standard ID photo and 1 high-definition ID photo in 4-channel transparent PNG. ```python python inference.py -i demo/images/test0.jpg -o ./idphoto.png --height 413 --width 295 ``` ## 2. Portrait Matting Input 1 photo to obtain 1 4-channel transparent PNG. ```python python inference.py -t human_matting -i demo/images/test0.jpg -o ./idphoto_matting.png --matting_model hivision_modnet ``` ## 3. Add Background Color to Transparent Image Input 1 4-channel transparent PNG to obtain 1 3-channel image with added background color. ```python python inference.py -t add_background -i ./idphoto.png -o ./idphoto_ab.jpg -c 4f83ce -k 30 -r 1 ``` ## 4. Generate Six-Inch Layout Photo Input 1 3-channel photo to obtain 1 six-inch layout photo. ```python python inference.py -t generate_layout_photos -i ./idphoto_ab.jpg -o ./idphoto_layout.jpg --height 413 --width 295 -k 200 ``` ## 5. ID Photo Cropping Input 1 4-channel photo (the image after matting) to obtain 1 standard ID photo and 1 high-definition ID photo in 4-channel transparent PNG. ```python python inference.py -t idphoto_crop -i ./idphoto_matting.png -o ./idphoto_crop.png --height 413 --width 295 ```
# ⚡️ Deploy API Service ## Start Backend ``` python deploy_api.py ``` ## Request API Service For detailed request methods, please refer to the [API Documentation](docs/api_EN.md), which includes the following request examples: - [cURL](docs/api_EN.md#curl-request-examples) - [Python](docs/api_EN.md#python-request-example)
# 🐳 Docker Deployment ## 1. Pull or Build Image > Choose one of the following methods **Method 1: Pull the latest image:** ```bash docker pull linzeyi/hivision_idphotos ``` **Method 2: Directly build the image from Dockerfile:** After ensuring that at least one [matting model weight file](#3-download-weight-files) is placed in the `hivision/creator/weights` directory, execute the following in the project root directory: ```bash docker build -t linzeyi/hivision_idphotos . ``` **Method 3: Build using Docker Compose:** After ensuring that at least one [matting model weight file](#3-download-weight-files) is placed in the `hivision/creator/weights` directory, execute the following in the project root directory: ```bash docker compose build ``` ## 2. Run Services **Start Gradio Demo Service** Run the following command, and you can access it locally at [http://127.0.0.1:7860](http://127.0.0.1:7860/). ```bash docker run -d -p 7860:7860 linzeyi/hivision_idphotos ``` **Start API Backend Service** ```bash docker run -d -p 8080:8080 linzeyi/hivision_idphotos python3 deploy_api.py ``` **Start Both Services Simultaneously** ```bash docker compose up -d ``` ## Environment Variables This project provides some additional configuration options, which can be set using environment variables: | Environment Variable | Type | Description | Example | |--|--|--|--| | FACE_PLUS_API_KEY | Optional | This is your API key obtained from the Face++ console | `7-fZStDJ····` | | FACE_PLUS_API_SECRET | Optional | Secret corresponding to the Face++ API key | `VTee824E····` | | RUN_MODE | Optional | Running mode, with the option of `beast` (beast mode). In beast mode, the face detection and matting models will not release memory, achieving faster secondary inference speeds. It is recommended to try to have at least 16GB of memory. | `beast` | Example of using environment variables in Docker: ```bash docker run -d -p 7860:7860 \ -e FACE_PLUS_API_KEY=7-fZStDJ···· \ -e FACE_PLUS_API_SECRET=VTee824E···· \ -e RUN_MODE=beast \ linzeyi/hivision_idphotos ```
# 📖 Cite Projects 1. MTCNN: ```bibtex @software{ipazc_mtcnn_2021, author = {ipazc}, title = {{MTCNN}}, url = {https://github.com/ipazc/mtcnn}, year = {2021}, publisher = {GitHub} } ``` 2. ModNet: ```bibtex @software{zhkkke_modnet_2021, author = {ZHKKKe}, title = {{ModNet}}, url = {https://github.com/ZHKKKe/MODNet}, year = {2021}, publisher = {GitHub} } ```
# Q&A ## 1. How to modify preset sizes and colors? - Size: After modifying [size_list_EN.csv](demo/assets/size_list_EN.csv), run `app.py` again. The first column is the size name, the second column is the height, and the third column is the width. - Color: After modifying [color_list_EN.csv](demo/assets/color_list_EN.csv), run `app.py` again. The first column is the color name, and the second column is the Hex value. ## 2. How to Change the Watermark Font? 1. Place the font file in the `hivision/plugin/font` folder. 2. Change the `font_file` parameter value in `hivision/plugin/watermark.py` to the name of the font file. ## 3. How to Add Social Media Template Photos? 1. Place the template image in the `hivision/plugin/template/assets` folder. The template image should be a 4-channel transparent PNG. 2. Add the latest template information to the `hivision/plugin/template/assets/template_config.json` file. Here, `width` is the template image width (px), `height` is the template image height (px), `anchor_points` are the coordinates (px) of the four corners of the transparent area in the template; `rotation` is the rotation angle of the transparent area relative to the vertical direction, where >0 is counterclockwise and <0 is clockwise. 3. Add the name of the latest template to the `TEMPLATE_NAME_LIST` variable in the `_generate_image_template` function of `demo/processor.py`. ## 4. How to Modify the Top Navigation Bar of the Gradio Demo? - Modify the `demo/assets/title.md` file.
# 📧 Contact Us If you have any questions, please email zeyi.lin@swanhub.co
# Contributors [Zeyi-Lin](https://github.com/Zeyi-Lin)、[SAKURA-CAT](https://github.com/SAKURA-CAT)、[Feudalman](https://github.com/Feudalman)、[swpfY](https://github.com/swpfY)、[Kaikaikaifang](https://github.com/Kaikaikaifang)、[ShaohonChen](https://github.com/ShaohonChen)、[KashiwaByte](https://github.com/KashiwaByte)
# Thanks for support [![Stargazers repo roster for @Zeyi-Lin/HivisionIDPhotos](https://reporoster.com/stars/Zeyi-Lin/HivisionIDPhotos)](https://github.com/Zeyi-Lin/HivisionIDPhotos/stargazers) [![Forkers repo roster for @Zeyi-Lin/HivisionIDPhotos](https://reporoster.com/forks/Zeyi-Lin/HivisionIDPhotos)](https://github.com/Zeyi-Lin/HivisionIDPhotos/network/members) [![Star History Chart](https://api.star-history.com/svg?repos=Zeyi-Lin/HivisionIDPhotos&type=Date)](https://star-history.com/#Zeyi-Lin/HivisionIDPhotos&Date) # Lincese This repository is licensed under the [Apache-2.0 License](LICENSE). [github-stars-shield]: https://img.shields.io/github/stars/zeyi-lin/hivisionidphotos?color=ffcb47&labelColor=black&style=flat-square [github-stars-link]: https://github.com/zeyi-lin/hivisionidphotos/stargazers [swanhub-demo-shield]: https://swanhub.co/git/repo/SwanHub%2FAuto-README/file/preview?ref=main&path=swanhub.svg [swanhub-demo-link]: https://swanhub.co/ZeYiLin/HivisionIDPhotos/demo [spaces-shield]: https://img.shields.io/badge/🤗-Open%20in%20Spaces-blue [spaces-link]: https://huggingface.co/spaces/TheEeeeLin/HivisionIDPhotos [wechat-shield]: https://img.shields.io/badge/WeChat-微信-4cb55e [wechat-link]: https://docs.qq.com/doc/DUkpBdk90eWZFS2JW [release-shield]: https://img.shields.io/github/v/release/zeyi-lin/hivisionidphotos?color=369eff&labelColor=black&logo=github&style=flat-square [release-link]: https://github.com/zeyi-lin/hivisionidphotos/releases [license-shield]: https://img.shields.io/badge/license-apache%202.0-white?labelColor=black&style=flat-square [license-link]: https://github.com/Zeyi-Lin/HivisionIDPhotos/blob/master/LICENSE [github-issues-shield]: https://img.shields.io/github/issues/zeyi-lin/hivisionidphotos?color=ff80eb&labelColor=black&style=flat-square [github-issues-link]: https://github.com/zeyi-lin/hivisionidphotos/issues [dockerhub-shield]: https://img.shields.io/docker/v/linzeyi/hivision_idphotos?color=369eff&label=docker&labelColor=black&logoColor=white&style=flat-square [dockerhub-link]: https://hub.docker.com/r/linzeyi/hivision_idphotos/tags [trendshift-shield]: https://trendshift.io/api/badge/repositories/11622 [trendshift-link]: https://trendshift.io/repositories/11622 [hellogithub-shield]: https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=8ea1457289fb4062ba661e5299e733d6&claim_uid=Oh5UaGjfrblg0yZ [hellogithub-link]: https://hellogithub.com/repository/8ea1457289fb4062ba661e5299e733d6 [github-contributors-shield]: https://img.shields.io/github/contributors/zeyi-lin/hivisionidphotos?color=c4f042&labelColor=black&style=flat-square [github-contributors-link]: https://github.com/zeyi-lin/hivisionidphotos/graphs/contributors [github-forks-shield]: https://img.shields.io/github/forks/zeyi-lin/hivisionidphotos?color=8ae8ff&labelColor=black&style=flat-square [github-forks-link]: https://github.com/zeyi-lin/hivisionidphotos/network/members [modelscope-shield]: https://img.shields.io/badge/Demo_on_ModelScope-purple?logo=data:image/svg+xml;base64,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&labelColor=white [modelscope-link]: https://modelscope.cn/studios/SwanLab/HivisionIDPhotos [modelers-shield]: https://img.shields.io/badge/Demo_on_Modelers-c42a2a?logo=data:image/svg+xml;base64,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&labelColor=white [modelers-link]: https://modelers.cn/spaces/SwanLab/HivisionIDPhotos [compshare-shield]: https://www-s.ucloud.cn/2025/02/dbef8b07ea3d316006d9c22765c3cd53_1740104342584.svg [compshare-link]: https://www.compshare.cn/images-detail?ImageID=compshareImage-17jacgm4ju16&ytag=HG_GPU_HivisionIDPhotos