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--- |
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license: mit |
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--- |
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anywefadoor |
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## Installation |
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the servers run in nodejs using express and are started on vast via PM2 (npm install -g pm2) process manager 2. other startup managers are available. |
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start stop and check status with: |
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pm2 start x |
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pm2 restart x |
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pm2 status |
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pm2 logs normally end up in the user folder of the user running the code under .pm2/logs/nameofscript.js |
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ssl_server.js in the ADOOR_ACE folder must be set to run on startup and ports need consideration for the anydoor process. |
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for the cloth seg the seg_ssl_server.js in the huggingface-cloth-segmentation folder should also be set to run on start. |
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pip requirements should be installed for the seg from inside that folder or conda can be utilised here too. |
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the two express servers are all that run here. |
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various necesary libs to install via apt will reveal themselves depending on hardware. libxext and others after the conda install and run first time. |
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Install with `conda`: |
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```bash |
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conda env create -f environment.yaml |
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conda activate anydoor |
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``` |
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or `pip`: |
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```bash |
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pip install -r requirements.txt |
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``` |
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Additionally, for training, you need to install panopticapi, pycocotools, and lvis-api. |
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```bash |
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pip install git+https://github.com/cocodataset/panopticapi.git |
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pip install pycocotools -i https://pypi.douban.com/simple |
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pip install lvis |
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``` |
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## Download WefaDoor Checkpoint |
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Download WefaDoor checkpoint: |
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* URL: (https://huggingface.co/thisisAce/ADOOR_ACE/blob/main/models/adbase-step%3D41250.ckpt) |
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## Download DINOv2 checkpoint and revise `/configs/anydoor.yaml` for the path (line 83) |
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* URL: https://github.com/facebookresearch/dinov2?tab=readme-ov-file |
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## Download Stable Diffusion V2.1 if you want to train from scratch. |
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* URL: https://huggingface.co/thisisAce/ADOOR_ACE/blob/main/models/dinov2_vitg14_pretrain.pth |
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## to run servers manualy use the following process: |
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first wefadoor.. |
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# cd /work/ADOOR_ACE |
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# conda activate anydoor |
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# start ssl_server.js (node or pm2) |
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# python run_inference_api.py |
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then the following must be in a tmux shell as in a completely new shell not the shell session above: |
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second hf seg.. |
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# cd /work/huggingface-cloth-segmentation |
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# conda activate seg |
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# start seg_ssl_server.js |
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leave both shells open in the instance and close the remote |
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