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from fastapi import FastAPI, Request, UploadFile
from fastapi.responses import HTMLResponse, FileResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import subprocess
from pathlib import Path
from config import settings
app = FastAPI(
title=settings.PROJECT_NAME, openapi_url=f"{settings.API_V1_STR}/openapi.json"
)
# app.mount("/static", FileResponse, name="static")
# templates = Jinja2Templates(directory="templates")
app.mount("/static", FileResponse, name="static")
templates = Jinja2Templates(directory="app/templates")
class Item(BaseModel):
file: UploadFile
@app.get("/", response_class=HTMLResponse)
async def root(request: Request):
return templates.TemplateResponse("index.html", {"request": request})
@app.post("/detect", response_class=HTMLResponse)
async def detect_objects(request: Request, item: Item):
print('Item:', item)
print('File name:', item.file.filename)
input_file = f"uploads/{item.file.filename}"
output_file = f"static/output/{item.file.filename}"
# Save the uploaded file
with open(input_file, "wb") as file:
file.write(item.file.file.read())
print('Detect start')
# Run YOLOv7 detection and save output
subprocess.run(["python", "detect.py", "--conf", "0.5", "--img-size", "640", "--weights", "app/model/best.pt", "--source", input_file, "--save-txt", "--save-conf", "--exist-ok", "--project", output_file])
print('Detect end')
# Render HTML using Jinja2Templates
return templates.TemplateResponse(
"result.html",
{"request": request, "original_image": f"/static/{item.file.filename}", "output_image": f"/static/output/{item.file.filename}"},
)
# Set all CORS enabled origins
if settings.BACKEND_CORS_ORIGINS:
app.add_middleware(
CORSMiddleware,
allow_origins=[str(origin) for origin in settings.BACKEND_CORS_ORIGINS],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Start app
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8001)
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