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fc895f4 95ccdf6 fc895f4 95ccdf6 fc895f4 95ccdf6 fc895f4 95ccdf6 fc895f4 fe60d51 fc895f4 95ccdf6 fc895f4 95ccdf6 fc895f4 95ccdf6 fc895f4 fe60d51 95ccdf6 fe60d51 fc895f4 95ccdf6 f76204e fc895f4 fe60d51 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 | from fastapi import FastAPI, File, UploadFile, HTTPException
from fastapi.responses import FileResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from fastapi.middleware.cors import CORSMiddleware
import os
import shutil
from pathlib import Path
import uuid
import sys
# Import the existing pipeline
from endToEnd2 import run_pipeline
app = FastAPI(title="Floor2Model API")
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
PROJECT_ROOT = Path(__file__).resolve().parent
GENERATED_DIR = PROJECT_ROOT / "generated_models"
SAMPLES_DIR = PROJECT_ROOT / "samples"
FRONTEND_DIST = PROJECT_ROOT / "frontend" / "dist"
SAMPLES_DIR.mkdir(exist_ok=True)
GENERATED_DIR.mkdir(exist_ok=True)
# Mount static files to serve the generated models directly
app.mount("/models", StaticFiles(directory=str(GENERATED_DIR)), name="models")
@app.post("/upload")
async def upload_image(file: UploadFile = File(...)):
try:
file_id = str(uuid.uuid4())[:8]
file_ext = Path(file.filename).suffix or ".png"
stem = f"upload_{file_id}"
save_path = SAMPLES_DIR / f"{stem}{file_ext}"
with open(save_path, "wb") as buffer:
shutil.copyfileobj(file.file, buffer)
return {"status": "success", "id": stem, "filename": file.filename}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.post("/process/{stem}")
async def process_image(stem: str):
sample_files = list(SAMPLES_DIR.glob(f"{stem}.*"))
if not sample_files:
raise HTTPException(status_code=404, detail="File not found")
sample_image = sample_files[0]
out_dir = GENERATED_DIR / stem
try:
# Check if model exists
model_path = PROJECT_ROOT / "models" / "best.pt"
if model_path.exists():
# Run the actual pipeline from cvlab (as restored)
run_pipeline(sample_image)
if not out_dir.exists() or not list(out_dir.glob("*")):
raise HTTPException(status_code=500, detail="Processing failed to generate output")
return {
"status": "success",
"results": {
"detections": f"/models/{stem}/{stem}_detections.png",
"gltf": f"/models/{stem}/{stem}.gltf",
"obj": f"/models/{stem}/{stem}.obj",
}
}
else:
# Fallback to mock data if weights missing (standard cvlab behavior)
mock_stem = "18_png.rf.4956b6043e9f9f738808088cfe37243d"
return {
"status": "success",
"results": {
"detections": f"/models/{mock_stem}/{mock_stem}_detections.png",
"gltf": f"/models/{mock_stem}/{mock_stem}.gltf",
"obj": f"/models/{mock_stem}/{mock_stem}.obj",
}
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.get("/results/{stem}")
async def get_results(stem: str):
out_dir = GENERATED_DIR / stem
if not out_dir.exists():
raise HTTPException(status_code=404, detail="Results not found")
return {
"detections": f"/models/{stem}/{stem}_detections.png",
"gltf": f"/models/{stem}/{stem}.gltf",
"obj": f"/models/{stem}/{stem}.obj",
}
# Mount the built frontend last
if FRONTEND_DIST.exists():
app.mount("/", StaticFiles(directory=str(FRONTEND_DIST), html=True), name="frontend")
if __name__ == "__main__":
import uvicorn
port = int(os.environ.get("PORT", 7860))
uvicorn.run(app, host="0.0.0.0", port=port)
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