detect faces

.gitignore

@@ -1,3 +1,5 @@
 # pixi environments
 .pixi
 *.egg-info
+*.pyc
+__pycache__

Dockerfile

@@ -1,10 +1,16 @@
 # read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
 # you will also find guides on how best to write your Dockerfile
 
-FROM python:3.11
+FROM python:3.11-slim
 
 RUN useradd -m -u 1000 user
 
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    && rm -rf /var/lib/apt/lists/*
+
 WORKDIR /app
 
 COPY --chown=user ./requirements.txt requirements.txt

app.py

@@ -1,7 +1,37 @@
-from fastapi import FastAPI
+from fastapi import FastAPI, File, UploadFile
+from retinaface import RetinaFace
+import cv2
+import numpy as np
+from typing import Any, Dict
 
 app = FastAPI()
 
+def convert_to_python_types(obj: Any) -> Any:
+    if isinstance(obj, np.integer):
+        return int(obj)
+    elif isinstance(obj, np.floating):
+        return float(obj)
+    elif isinstance(obj, np.ndarray):
+        return obj.tolist()
+    elif isinstance(obj, dict):
+        return {key: convert_to_python_types(value) for key, value in obj.items()}
+    elif isinstance(obj, list):
+        return [convert_to_python_types(item) for item in obj]
+    else:
+        return obj
+
+@app.post("/detect_faces")
+async def detect_faces(file: UploadFile = File(...)):
+    contents = await file.read()
+    nparr = np.frombuffer(contents, np.uint8)
+    image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+    
+    # Detect faces
+    faces = RetinaFace.detect_faces(image)
+    
+    return convert_to_python_types(faces)
+
+
 @app.get("/")
 def greet_json():
     return {"Hello": "World!"}

pixi.toml

@@ -12,3 +12,5 @@ platforms = ["linux-64"]
 python = "3.11.*"
 fastapi = ">=0.111.0,<0.112"
 uvicorn = ">=0.30.1,<0.31"
+retina-face = ">=0.0.17,<0.1"
+tf-keras = ">=2.16.0,<2.17"

requirements.txt

@@ -1,2 +1,4 @@
 fastapi
-uvicorn[standard]
+uvicorn[standard]
+retina-face
+tf-keras