Spaces:
Running
Running
initial commit
Browse files- .gitattributes +2 -0
- .gitignore +3 -0
- Dockerfile +22 -0
- app.py +37 -0
- pixi.lock +0 -0
- pixi.toml +17 -0
- requirements.txt +4 -0
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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# GitHub syntax highlighting
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pixi.lock linguist-language=YAML linguist-generated=true
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.gitignore
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# pixi environments
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.pixi
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*.egg-info
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Dockerfile
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# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
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# you will also find guides on how best to write your Dockerfile
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FROM python:3.11-slim
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RUN useradd -m -u 1000 user
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# Install system dependencies for opencv
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RUN apt-get update && apt-get install -y \
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libgl1-mesa-glx \
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libglib2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY --chown=user ./requirements.txt requirements.txt
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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COPY --chown=user . /app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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app.py
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from fastapi import FastAPI, File, UploadFile
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from retinaface import RetinaFace
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import cv2
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import numpy as np
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from typing import Any, Dict
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app = FastAPI()
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def convert_to_python_types(obj: Any) -> Any:
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if isinstance(obj, np.integer):
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return int(obj)
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elif isinstance(obj, np.floating):
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return float(obj)
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elif isinstance(obj, np.ndarray):
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return obj.tolist()
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elif isinstance(obj, dict):
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return {key: convert_to_python_types(value) for key, value in obj.items()}
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elif isinstance(obj, list):
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return [convert_to_python_types(item) for item in obj]
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else:
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return obj
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@app.post("/detect_faces")
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async def detect_faces(file: UploadFile = File(...)):
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contents = await file.read()
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nparr = np.frombuffer(contents, np.uint8)
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image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
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# Detect faces
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faces = RetinaFace.detect_faces(image)
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return convert_to_python_types(faces)
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@app.get("/")
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def greet_json():
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return {"Hello": "World!"}
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pixi.lock
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The diff for this file is too large to render.
See raw diff
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pixi.toml
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[project]
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name = "PhotoPrepSpace"
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version = "0.1.0"
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description = "Add a short description here"
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authors = ["EdvardsZ <edvards1999@gmail.com>"]
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channels = ["conda-forge"]
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platforms = ["linux-64"]
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[tasks]
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[dependencies]
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python = "3.11.*"
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fastapi = ">=0.111.0,<0.112"
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uvicorn = ">=0.30.1,<0.31"
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retina-face = ">=0.0.17,<0.1"
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tf-keras = ">=2.16.0,<2.17"
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requirements.txt
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fastapi
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uvicorn[standard]
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retina-face
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tf-keras
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