Wulf's Various Things

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====== Stashface ======

Stashface is a Gradio web user interface with api endpoints for facial recognition, primarily for use with the Stash plugin Visage. It requires a vector database of the faces with references to the stashdb uuids and file with uuid to metadata mapping. A password protected zip file of the mapping is in the docker image and huggingface git source. An own database can be created using visage-ml.
The performers.json mapping file should be in the following format for stashface:

<code - performers.json>
{
"xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx": {"name": "Firstname Lastname", "image": "https://cdn.example.org/images/uuid", "country": "GB"},
"xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx": {"name": "Firstname2 Lastname2", "image": "https://cdn.example.org/images/uuid", "country": "HU"}, 
"xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx": {"name": "Firstname3 Lastname3", "image": "https://cdn.example.org/images/uuid", "country": "US"}, 
...
}
</code>


https://huggingface.co/spaces/cc1234/stashface

Clone repo:
<code>
# Make sure git-lfs is installed (https://git-lfs.com)
sudo apt-get install git-lfs
git clone https://huggingface.co/spaces/cc1234/stashface
</code>

Run locally:
<code>
docker run -it -p 7860:7860 --platform=linux/amd64 \
	-e VISAGE_KEY="YOUR_VALUE_HERE" \
	registry.hf.space/cc1234-stashface:latest python src/app.py
</code>
or
<code - docker-compose.yaml>
name: stashface
services:
  stashface:
    image: registry.hf.space/cc1234-stashface:latest
    container_name: stashface
    command: python app.py
    ports:
      - 8126:7860
    environment:
      - VISAGE_KEY=xxx
    restart: unless-stopped
</code>

<code - Dockerfile>
FROM docker.io/library/python:3.10@sha256:e2c7fb05741c735679b26eda7dd34575151079f8c615875fbefe401972b14d85
RUN apt-get update && apt-get install -y fakeroot &&     mv /usr/bin/apt-get /usr/bin/.apt-get &&     echo '#!/usr/bin/env sh\nfakeroot /usr/bin/.apt-get $@' > /usr/bin/apt-get &&     chmod +x /usr/bin/apt-get && 	rm -rf /var/lib/apt/lists/* && 	useradd -m -u 1000 user
COPY --chown=1000:1000 --from=root / /
WORKDIR /home/user/app
RUN apt-get update && apt-get install -y 	git 	git-lfs 	ffmpeg 	libsm6 	libxext6 	cmake 	rsync 	libgl1-mesa-glx 	&& rm -rf /var/lib/apt/lists/* 	&& git lfs install
RUN pip install --no-cache-dir pip -U && 	pip install --no-cache-dir 	datasets 	"huggingface-hub>=0.19" "hf_xet>=1.0.0,<2.0.0" "hf-transfer>=0.1.4" "protobuf<4" "click<8.1" "pydantic~=1.0"
RUN 	apt-get update && 	apt-get install -y curl && 	curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && 	apt-get install -y nodejs && 	rm -rf /var/lib/apt/lists/* && apt-get clean
RUN --mount=target=/tmp/requirements.txt,source=requirements.txt     pip install --no-cache-dir -r /tmp/requirements.txt
RUN pip install --no-cache-dir 	gradio[oauth]==5.25.2 	"uvicorn>=0.14.0" 	spaces
COPY --link --chown=1000 ./ /home/user/app
RUN pip freeze > /tmp/freeze.txt
COPY --from=pipfreeze --link --chown=1000 /tmp/freeze.txt /tmp/freeze.txt
</code>

Run locally natively:
<code>
# Clone repository

git clone https://huggingface.co/spaces/cc1234/stashface
cd stashface

# Create and activate Python environment

python -m venv env
source env/bin/activate

# Install dependencies and run

pip install -r requirements.txt
python src/app.py
</code>



Deprecated Visage userscript version:
https://github.com/cc1234475/visage

Visage Stash plugin:
https://github.com/stashapp/CommunityScripts/tree/main/plugins/visage

Required changes to endpoints:
<code - stashdir/config/plugins/visage/visage.js>let VISAGE_API_URL = "https://cc1234-stashface.hf.space/api/predict";</code>
<code - stashdir/config/plugins/visage/visage.yml>    connect-src:
      - "https://cc1234-stashface.hf.space"</code>

====== Visage-ML ======

Visage-ML is used to create a database from images for use with stashface/visage plugin.

The directory structure of the images needs to be in the following format:
<code>
person_name
  - image_file_001.jpeg
  - another_01.jpeg
</code>

Updated fork:
https://github.com/badde57/visage-ml

Original:
https://github.com/cc1234475/visage-ml

<code>
git clone https://github.com/badde57/visage-ml

#Hashing:
cd visage-ml/hasher/
mkdir weights
cd weights/
wget https://github.com/serengil/deepface_models/releases/download/v1.0/facenet512_weights.h5
wget https://github.com/serengil/deepface_models/releases/download/v1.0/retinaface.h5
cd ..
mkdir -p /opt/visage/images
vi docker-compose.yaml
# adjust image folder in compose
docker-compose build
docker-compose up

#builder
cd ../builder
vi docker-compose.yaml
# adjust image folder in compose
docker-compose build
docker-compose up

#matcher
cd ../matcher
cp /opt/visage/images/face.db .
cp /opt/visage/images/face.json .
vi performers.json
{
"93aa1a98-e86e-47a2-b661-f5d703a6e727":"performer name"
}

docker-compose up
</code>