Klarbildbot v1.0 — AI-Bildaufbereitung (Freistellen + Upscaling) als Telegram-Bot

- Telegram-Bot (Polling) mit Inline-Menue: Klarbild x2/x4, Freistellen, kombiniert
- Upscaling via OpenCV dnn_superres (FSRCNN default, EDSR optional), gekachelt
- Freistellen via rembg (isnet-general-use, Alpha-Matting)
- Picdrop-Batch via SFTP (/picdrop)
- Health-Server (aiohttp) fuer Coolify, Zugriffsschutz via ALLOWED_USER_IDS
- Dockerfile backt Modelle (SR von raw.githubusercontent, rembg von HF-Mirror)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XNQ8ghPfzAfsyVYd6HgFb6

scripts/fetch_models.sh

@@ -0,0 +1,22 @@
+#!/usr/bin/env bash
+# Laedt die OpenCV-dnn_superres-Modelle (echte SR-CNNs) nach $1 (default: models/).
+set -euo pipefail
+DEST="${1:-models}"
+mkdir -p "$DEST"
+
+declare -A URLS=(
+  ["EDSR_x2.pb"]="https://raw.githubusercontent.com/Saafke/EDSR_Tensorflow/master/models/EDSR_x2.pb"
+  ["EDSR_x4.pb"]="https://raw.githubusercontent.com/Saafke/EDSR_Tensorflow/master/models/EDSR_x4.pb"
+  ["FSRCNN_x2.pb"]="https://raw.githubusercontent.com/Saafke/FSRCNN_Tensorflow/master/models/FSRCNN_x2.pb"
+  ["FSRCNN_x4.pb"]="https://raw.githubusercontent.com/Saafke/FSRCNN_Tensorflow/master/models/FSRCNN_x4.pb"
+)
+
+for name in "${!URLS[@]}"; do
+  if [[ -s "$DEST/$name" ]]; then
+    echo "vorhanden: $name"; continue
+  fi
+  echo "lade $name ..."
+  curl -fL --retry 3 -o "$DEST/$name" "${URLS[$name]}"
+done
+echo "Modelle in $DEST:"
+ls -lh "$DEST"