Add missing subprocess import in main.py (snapshot was crashing).
When a zone is defined, crop each frame to the zone's bounding box
before sending to PlateRecognizer — smaller payload, faster upload,
recognition focused on the relevant area only.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
New /config/zone page lets users draw a polygon over a camera frame
(including live RTSP snapshot) to define the area where vehicle detection
applies. Zone is stored in /data/zone.json and applied in two ways:
- Motion scoring: inter-frame diff is masked outside the zone so garden
movement doesn't inflate frame scores
- YOLO plate detection: detections whose center falls outside the zone
are filtered out
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
PLATERECOGNIZER_KEY is defined in watcher.py, not main.py. Reference it
via watcher.PLATERECOGNIZER_KEY inside the executor closure, and wrap
_run() in a top-level try/except so exceptions always return JSON instead
of a 500 HTML page.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
New POST /event/{id}/test-lpr endpoint runs PlateRecognizer on the full
frame and local OCR on the drawn bbox region (with perspective correction
when possible). Annotation UI shows results inline with a one-click
"Utiliser" button to copy the best plate into the input field.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Move time.sleep inside the try/except to catch BaseException-level
failures, and wrap the watcher thread in a supervisor that auto-restarts
it within 5s if it ever exits unexpectedly.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
When a plate bbox is detected, the snapshot thumbnail is now cropped
around the vehicle (plate bbox + generous margins) and resized to
≤1280px wide. This makes the grid on the index page much more useful.
The full best frame is saved separately as best_frame.jpg and used
as the main image in the event detail view. Without a plate bbox,
fallback crops the center 80% of the frame.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
New page /event/{id}/annotate:
- Frame selector grid (all frames from the event)
- Canvas with click-and-drag rectangle drawing to mark the plate bbox
- Touch support for tablets
- Plate text input (pre-filled with auto-detected plate)
- Saves image + YOLO label (.txt) + plates.csv to /data/annotations/
- Stores annotation metadata in DB (annotations table)
/dataset/export serves a ZIP with images/, labels/, plates.csv and
a data.yaml ready for YOLOv8/v9 fine-tuning on Google Colab.
"Annoter" button added to event detail header.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Whitelist: plates added to /whitelist are silently ignored on
detection — no clip, no frames, no DB entry. Manageable via
/whitelist page or from the event detail page per-event.
Stats: /stats shows all known plates ranked by passage count,
with first/last seen dates and one-click whitelist toggle.
Navigation links added to the index header.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Delete event: POST /event/{id}/delete removes DB row + files
- Perspective correction: minAreaRect on white plate region → getPerspectiveTransform
gives a flat frontal view of the plate (e.g. 'GR B38 WR' instead of trapezoid)
- Tesseract now scales image 3x before OCR and skips EU blue strip (left 11%)
- Saves plate_ocr.jpg (perspective-corrected + enhanced crop actually fed to OCR)
- Event detail shows both raw detection crop and OCR crop side by side
- Manual plate edit form in event detail
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- 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>
POST /upload saves the file, runs full processing (transcode, frame extraction,
LPR, color detection) and redirects to the resulting event page.
UI: "Tester un clip" button in header reveals a file picker form.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Garde toutes les frames (plus de limite TOP_FRAMES), triées score LPR desc
- Clip remuxé avec -movflags +faststart pour lecture directe navigateur + lien téléchargement
- Lightbox : double-clic sur frame → plein écran, navigation ←/→, Échap pour fermer
- Grille 8 colonnes pour voir toutes les frames
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Couleur : crop autour de la plaque (zone carrosserie au-dessus) au lieu du frame entier ; fallback center 50% si pas de plaque
- lpr.read_plate() retourne maintenant (text, conf, bbox) pour exposer la position de la plaque
- Index : supprime filtre caméra et badge caméra (une seule caméra)
- Carte index : badge ▶ clip si clip disponible
- Page détail : section debug (nb frames, taille clip, id), gestion propre des anciens événements sans clip/frames
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Sauvegarde le clip MP4 et les top 10 frames par événement dans /data/events/{id}/
- Nouvelle route GET /event/{id} avec page détail : info, vignette interactive, lecteur vidéo, galerie frames
- Les cartes de l'index sont maintenant cliquables
- Migration DB : ajout colonne clip_path sur les BDD existantes
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Polls Frigate events API, extracts dominant vehicle color (KMeans),
reads LPR plate from Frigate sub_label. Responsive dark UI with
filter by plate/camera/date and auto-refresh. FastAPI + SQLite.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
