Files
camwatch/app/main.py
T
percoandClaude Sonnet 4.6 13e6038069 Improve LPR accuracy and add manual plate edit
- Tiled YOLO (3x2, 20% overlap): plate confidence 0.307 -> 0.838 on test frame
- Aspect ratio filter (2.0-6.5:1): rejects non-plate shapes
- Confidence threshold 0.03 -> 0.04: removes fence/noise false positives
- Exclude top 15% (sky) and bottom 8% (timestamp overlay) from detection zone
- Add Tesseract as primary OCR (better for Latin plates), PaddleOCR as fallback
- Enhance plate crop before OCR: CLAHE + sharpening + min 80px upscale
- Save plate_crop.jpg (4x upscaled) to event dir for manual review
- Show plate crop in event detail page
- Add manual plate edit form in event detail (POST /event/{id}/plate)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-02 17:45:50 +02:00

174 lines
5.6 KiB
Python

import os
import glob
import logging
import threading
import tempfile
import asyncio
from contextlib import asynccontextmanager
from fastapi import FastAPI, Request, Query, HTTPException, UploadFile, File, Form
from fastapi.responses import HTMLResponse, RedirectResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from datetime import datetime
import database
import watcher
logging.basicConfig(level=logging.INFO, format="%(asctime)s %(name)s %(levelname)s %(message)s")
SNAPSHOTS_DIR = os.environ.get("SNAPSHOTS_DIR", "/data/snapshots")
EVENTS_DIR = os.environ.get("EVENTS_DIR", "/data/events")
os.makedirs(SNAPSHOTS_DIR, exist_ok=True)
os.makedirs(EVENTS_DIR, exist_ok=True)
@asynccontextmanager
async def lifespan(app: FastAPI):
database.init_db()
t = threading.Thread(target=watcher.run_watcher, daemon=True)
t.start()
yield
app = FastAPI(lifespan=lifespan)
app.mount("/snapshots", StaticFiles(directory=SNAPSHOTS_DIR), name="snapshots")
app.mount("/events", StaticFiles(directory=EVENTS_DIR), name="events")
templates = Jinja2Templates(directory="/app/templates")
def ts_to_str(ts):
try:
return datetime.fromtimestamp(ts).strftime("%d/%m/%Y %H:%M:%S")
except Exception:
return str(ts)
@app.get("/", response_class=HTMLResponse)
async def index(
request: Request,
page: int = Query(1, ge=1),
plate: str = Query(""),
camera: str = Query(""),
date: str = Query(""),
):
limit = 20
offset = (page - 1) * limit
events = database.get_events(limit=limit, offset=offset,
plate_filter=plate or None,
camera_filter=camera or None,
date_filter=date or None)
total = database.count_events(plate_filter=plate or None,
camera_filter=camera or None,
date_filter=date or None)
cameras = database.get_cameras()
total_pages = max(1, (total + limit - 1) // limit)
for ev in events:
ev["time_str"] = ts_to_str(ev["start_time"])
return templates.TemplateResponse("index.html", {
"request": request,
"events": events,
"total": total,
"page": page,
"total_pages": total_pages,
"cameras": cameras,
"filter_plate": plate,
"filter_camera": camera,
"filter_date": date,
})
CAPTURE_DURATION = int(os.environ.get("CAPTURE_DURATION", "15"))
CAPTURE_FPS = int(os.environ.get("CAPTURE_FPS", "5"))
@app.get("/event/{event_id}", response_class=HTMLResponse)
async def event_detail(request: Request, event_id: str):
ev = database.get_event(event_id)
if not ev:
raise HTTPException(status_code=404, detail="Événement introuvable")
ev["time_str"] = ts_to_str(ev["start_time"])
event_dir = os.path.join(EVENTS_DIR, event_id)
frame_paths = sorted(glob.glob(os.path.join(event_dir, "frame_*.jpg")))
frames = [f"events/{event_id}/{os.path.basename(p)}" for p in frame_paths]
clip_abs = os.path.join("/data", ev["clip_path"]) if ev.get("clip_path") else None
has_clip = bool(clip_abs and os.path.exists(clip_abs))
clip_size = ""
if has_clip:
size = os.path.getsize(clip_abs)
clip_size = f"{size // 1024 // 1024}MB" if size > 1024 * 1024 else f"{size // 1024}KB"
plate_crop_abs = os.path.join(event_dir, "plate_crop.jpg")
plate_crop = f"events/{event_id}/plate_crop.jpg" if os.path.exists(plate_crop_abs) else None
return templates.TemplateResponse("event_detail.html", {
"request": request,
"ev": ev,
"frames": frames,
"has_clip": has_clip,
"clip_size": clip_size,
"plate_crop": plate_crop,
"capture_duration": CAPTURE_DURATION,
"capture_fps": CAPTURE_FPS,
"capture_total": CAPTURE_DURATION * CAPTURE_FPS,
})
@app.get("/api/events")
async def api_events(
page: int = Query(1, ge=1),
plate: str = Query(""),
camera: str = Query(""),
date: str = Query(""),
):
limit = 20
offset = (page - 1) * limit
events = database.get_events(limit=limit, offset=offset,
plate_filter=plate or None,
camera_filter=camera or None,
date_filter=date or None)
total = database.count_events(plate_filter=plate or None,
camera_filter=camera or None,
date_filter=date or None)
for ev in events:
ev["time_str"] = ts_to_str(ev["start_time"])
return {"events": events, "total": total}
@app.post("/event/{event_id}/plate")
async def update_plate(event_id: str, plate: str = Form("")):
ev = database.get_event(event_id)
if not ev:
raise HTTPException(status_code=404, detail="Événement introuvable")
database.update_plate(event_id, plate)
return RedirectResponse(f"/event/{event_id}", status_code=303)
@app.post("/upload")
async def upload_clip(file: UploadFile = File(...)):
if not file.filename.lower().endswith(".mp4"):
raise HTTPException(status_code=400, detail="Seuls les fichiers .mp4 sont acceptés")
with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as tmp:
content = await file.read()
tmp.write(content)
tmp_path = tmp.name
try:
loop = asyncio.get_event_loop()
event_id = await loop.run_in_executor(None, watcher.process_uploaded_clip, tmp_path)
finally:
os.unlink(tmp_path)
return RedirectResponse(f"/event/{event_id}", status_code=303)
@app.get("/health")
async def health():
return {"status": "ok"}