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