| | --- |
| | license: gpl-3.0 |
| | --- |
| | As always : More safe for everyone to share around and keep updated if any major changes then the google drive. |
| | # Copy from github fork: |
| | - [human-parser-comfyui-node-in-pure-python](https://github.com/Randy420Marsh/human-parser-comfyui-node-in-pure-python) |
| | - This custom node doesn't require a runtime build for InPlaceABNSync. |
| | - [original Github repo](https://github.com/cozymantis/human-parser-comfyui-node) |
| | - Needs C++ build tools for windows |
| |
|
| | # Potential fix |
| | - for comfyUI node: "cant find schp"(model files in folder) |
| | - replace __init__.py from the pure python fork with the one in this repo here [initfix](https://huggingface.co/ApacheOne/ComfyUI-human-parser_models_ATR_LIP_Pascal/blob/main/filefixes/__init__.py) |
| | - have not tested C++ version might have same fix |
| |
|
| | # cloned README.md |
| | # Cozy Human Parser |
| |
|
| | Fast, VRAM-light ComfyUI nodes to generate masks for specific body parts and clothes or fashion items. Runs on CPU and CUDA. |
| | Made with 💚 by the [CozyMantis](https://cozymantis.gumroad.com/) squad. |
| |
|
| | | Original | ATR | LIP | Pascal | |
| | | --------------------- | ------------------------ | ------------------------ | ------------------------ | |
| | |  |  |  |  | |
| | |  |  |  |  | |
| |
|
| | ## Installation |
| |
|
| | - Clone this repository into your custom_nodes directory, then run `pip install -r requirements.txt` to install the required dependencies. |
| | - Copy the following models to the `models/schp` directory, depending on which parser you would like to use: |
| | - Model based on the LIP dataset: [Google Drive](https://drive.google.com/file/d/1k4dllHpu0bdx38J7H28rVVLpU-kOHmnH/view?usp=sharing) |
| | - Model based on the ATR dataset: [Google Drive](https://drive.google.com/file/d/1ruJg4lqR_jgQPj-9K0PP-L2vJERYOxLP/view?usp=sharing) |
| | - Model based on the Pascal dataset: [Google Drive](https://drive.google.com/file/d/1E5YwNKW2VOEayK9mWCS3Kpsxf-3z04ZE/view?usp=sharing) |
| | |
| | Check below for [Windows troubleshooting](#windows-troubleshooting). |
| | |
| | ## Examples |
| | |
| | ### LIP Parser |
| | |
| | - LIP is the largest single person human parsing dataset with 50000+ images. This dataset focuses on complicated real scenarios. |
| | - mIoU on LIP validation: 59.36 % |
| | - The LIP parser can detect the following categories: |
| | |
| | ``` |
| | ['Background', 'Hat', 'Hair', 'Glove', 'Sunglasses' 'Upper-clothes', 'Dress', 'Coat', 'Socks', 'Pants', 'Jumpsuits', 'Scarf', 'Skirt', 'Face', 'Left-arm', 'Right-arm', 'Left-leg', 'Right-leg', 'Left-shoe', 'Right-shoe'] |
| | ``` |
| | |
| |  |
| | |
| | ### ATR Parser |
| | |
| | - ATR is a large single person human parsing dataset with 17000+ images. This dataset focuses on fashion AI. |
| | - mIoU on ATR test: 82.29% |
| | - The ATR parser can detect the following categories: |
| | |
| | ``` |
| | ['Background', 'Hat', 'Hair', 'Sunglasses', 'Upper-clothes', 'Skirt', 'Pants', 'Dress', 'Belt', 'Left-shoe', 'Right-shoe', 'Face', 'Left-leg', 'Right-leg', 'Left-arm', 'Right-arm', 'Bag', 'Scarf'] |
| | ``` |
| | |
| |  |
| | |
| | ### Pascal Parser |
| | |
| | - Pascal Person Part is a tiny single person human parsing dataset with 3000+ images. This dataset focuses on body parts segmentation. |
| | - mIoU on Pascal-Person-Part validation: 71.46 % |
| | - The Pascal parser can detect the following categories: |
| | |
| | ``` |
| | ['Background', 'Head', 'Torso', 'Upper Arms', 'Lower Arms', 'Upper Legs', 'Lower Legs'] |
| | ``` |
| | |
| |  |
| | |
| | ## Windows Troubleshooting |
| | |
| | - ### Ninja is required to load C++ extensions |
| | |
| | Windows can't find the "ninja.exe" file. The file is probably getting downloaded/installed to something like `X:\path\to\comfy\python_embeded\lib\site-packages\ninja\data\bin`, but it's not properly getting added to the system path, so the OS can't invoke it. |
| |
|
| | The solution is to: |
| | - locate the "ninja.exe" file; |
| | - add the full path to ninja.exe into the system PATH: |
| | - see https://www.mathworks.com/matlabcentral/answers/94933-how-do-i-edit-my-system-path-in-windows |
| | - remember, you need to enter the path to the folder containing the ninja.exe binary) |
| | - see [this issue](https://github.com/cozymantis/human-parser-comfyui-node/issues/3) for more details |
| |
|
| | - ### NK1104: cannot open file 'python311.lib' (or similar) |
| |
|
| | Windows can't locate the `python311.lib` library. You need to search for it on your system, then add the library's parent directory to the "LIB" environment variable. |
| | - see [this SO article](https://stackoverflow.com/questions/36419747/link-fatal-error-lnk1104-cannot-open-file-python27-lib) |
| | - also see [this issue](https://github.com/cozymantis/human-parser-comfyui-node/issues/1) |
| | |
| | - ### Command '['where', 'cl']' returned non-zero exit status 1 |
| |
|
| | Windows can't locate "cl.exe" which is the compiler/linker tool: https://learn.microsoft.com/en-us/cpp/build/reference/compiler-options?view=msvc-170 |
| |
|
| | > You can start this tool only from a Visual Studio developer command prompt. You cannot start it from a system command prompt or from File Explorer. For more information, see Use the MSVC toolset from the command line. |
| |
|
| | First, make sure you've installed all of the things highlighted below: |
| |
|
| |  |
| |
|
| | Then, it looks like you'll need to start ComfyUI from the developer command prompt instead of the regular cmd. Here's docs on how to launch the dev command prompt: https://learn.microsoft.com/en-us/visualstudio/ide/reference/command-prompt-powershell?view=vs-2022 |
| |
|
| | You'll want to run something similar to: |
| |
|
| | ```bash |
| | cd X:\path\to\comfy |
| | python main.py |
| | ``` |
| |
|
| | - ### error: first parameter of allocation function must be of type "size_t" |
| | |
| | Make sure you're running the "x64 Native Tools Command Prompt" instead of the x86 one. Type "x64" in the start menu to locate it. |
| | |
| |  |
| | |
| | ## Acknowledgements |
| | -All the repo owners and maintainers |
| | Based on the excellent paper ["Self-Correction for Human Parsing"](https://github.com/GoGoDuck912/Self-Correction-Human-Parsing) by Li, Peike and Xu, Yunqiu and Wei, Yunchao and Yang, Yi, and their original code that we've updated to also run on CPUs. |
| | |
| | ```bibtex |
| | @article{li2020self, |
| | title={Self-Correction for Human Parsing}, |
| | author={Li, Peike and Xu, Yunqiu and Wei, Yunchao and Yang, Yi}, |
| | journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, |
| | year={2020}, |
| | doi={10.1109/TPAMI.2020.3048039}} |
| | ``` |
| | |
