とりあえず

app.py

@@ -19,7 +19,7 @@ import numpy as np
 import cv2
 from LLM_package import ObjectDetector,GeminiInference
 import pycocotools.mask as mask_util
-import insightface
+#import insightface
 from fastapi import FastAPI, File, UploadFile, Form
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import FileResponse, HTMLResponse
@@ -835,7 +835,7 @@ async def create_mask_sum(image: UploadFile = File(...), risk_level: int = Form(
     return FileResponse(output_path)
 
 # カスケードファイルの読み込み (顔検出)
-face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+#face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
 
 def apply_mosaic(image, x, y, w, h, mosaic_level=15):
     """ 指定範囲にモザイク処理を適用 """
@@ -844,7 +844,7 @@ def apply_mosaic(image, x, y, w, h, mosaic_level=15):
     face = cv2.resize(face, (w, h), interpolation=cv2.INTER_NEAREST)
     image[y:y+h, x:x+w] = face
     return image
-
+'''
 @app.post("/mosaic_face")
 async def mosaic_face(file: UploadFile = File(...)):
     # 画像ファイルを読み込み
@@ -870,7 +870,7 @@ async def mosaic_face(file: UploadFile = File(...)):
 
 
 
-
+'''
 
 
 
@@ -961,7 +961,7 @@ def read_image(file: UploadFile):
     if image.shape[2] == 4:  # Remove alpha channel if present
         image = image[:, :, :3]
     return cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-
+'''
 # Function to extract face embeddings and bounding boxes from an image
 def get_face_data(image):
     # Load InsightFace model
@@ -975,7 +975,7 @@ def get_face_data(image):
         return embeddings, bboxes, image
     else:
         return None, None, image
-
+'''
 # Function to apply mosaic to a specific region in an image
 def apply_mosaic(image, bbox, mosaic_size=10):
     x, y, w, h = int(bbox[0]), int(bbox[1]), int(bbox[2] - bbox[0]), int(bbox[3] - bbox[1])
@@ -988,6 +988,7 @@ def apply_mosaic(image, bbox, mosaic_size=10):
     return image
 from fastapi import FastAPI, File, UploadFile, HTTPException
 from io import BytesIO  #
+'''
 @app.post("/mosaic_faces")
 async def mosaic_faces(reference_image: UploadFile = File(...), test_image: UploadFile = File(...)):
     try:
@@ -1022,9 +1023,10 @@ async def mosaic_faces(reference_image: UploadFile = File(...), test_image: Uplo
 
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
-
+'''
 @app.get("/", response_class=HTMLResponse)
-async def read_root():
+async def read_root(request: Request):
+    
     return templates.TemplateResponse("index.html", {"request": request})
 
 

requirements.txt

@@ -72,5 +72,5 @@ uvicorn==0.32.0
 zipp==3.20.2
 supervision
 onnxruntime
-
+google-genai
 dotenv