first commit

app.py

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+from fastapi import FastAPI, File, UploadFile
+from fastapi.responses import JSONResponse
+from fastapi.middleware.cors import CORSMiddleware
+import numpy as np
+import cv2
+from PIL import Image
+from io import BytesIO
+import easyocr
+from ultralytics import YOLO
+
+app = FastAPI()
+reader = easyocr.Reader(['en'])
+model = YOLO("yolov8n.pt")
+print("✅ YOLO model loaded")
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"], allow_credentials=True,
+    allow_methods=["*"], allow_headers=["*"],
+)
+
+@app.post("/detect")
+async def detect_plate(file: UploadFile = File(...)):
+    try:
+        contents = await file.read()
+        image = Image.open(BytesIO(contents)).convert("RGB")
+        image_np = np.array(image)
+
+        results = model(image_np)[0]
+        plate_texts = []
+
+        for box in results.boxes:
+            x1, y1, x2, y2 = map(int, box.xyxy[0])
+            plate_crop = image_np[y1:y2, x1:x2]
+            text = reader.readtext(plate_crop, detail=0)
+            if text:
+                plate_texts.extend(text)
+
+        return JSONResponse(content={"plates": plate_texts})
+
+    except Exception as e:
+        return JSONResponse(content={"error": str(e)}, status_code=500)

requirements.txt

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+fastapi
+uvicorn
+pillow
+numpy
+opencv-python-headless
+torch
+torchvision
+easyocr
+ultralytics
+python-multipart