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feat(skills): add deploy.bat Windows equivalents for all skills with deploy.sh
- yolo-detection-2026: full GPU detection, venv, requirements, model optimization - homesafe-bench: npm install - smarthome-bench: yt-dlp/ffmpeg checks + npm install ROCm/MPS blocks omitted (Linux/macOS only). Uses py.exe launcher for Python discovery with fallback to python/python3 on PATH.
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‎skills/analysis/homesafe-bench/deploy.bat‎

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@echo off
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REM HomeSafe-Bench deployment script (Windows)
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REM Runs npm install to fetch openai SDK dependency
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cd /d "%~dp0"
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where npm >nul 2>&1
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if %errorlevel% neq 0 (
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echo ERROR: npm not found. Install Node.js from https://nodejs.org and retry.
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exit /b 1
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)
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npm install
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if %errorlevel% neq 0 (
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echo ERROR: npm install failed
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exit /b 1
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)
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echo HomeSafe-Bench dependencies installed
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exit /b 0

‎skills/analysis/smarthome-bench/deploy.bat‎

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@echo off
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REM SmartHome-Bench deployment script (Windows)
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REM Called by Aegis deployment agent during skill installation
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setlocal enabledelayedexpansion
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set "SKILL_DIR=%~dp0"
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if "%SKILL_DIR:~-1%"=="\" set "SKILL_DIR=%SKILL_DIR:~0,-1%"
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echo Deploying SmartHome-Bench from: %SKILL_DIR%
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REM ── Check system dependencies ────────────────────────────────────────────────
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echo Checking system dependencies...
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where yt-dlp >nul 2>&1
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if %errorlevel% neq 0 (
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echo WARNING: yt-dlp not found. Attempting install via pip...
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where pip >nul 2>&1
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if !errorlevel! equ 0 (
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pip install yt-dlp
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) else (
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where pip3 >nul 2>&1
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if !errorlevel! equ 0 (
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pip3 install yt-dlp
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) else (
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echo ERROR: Cannot install yt-dlp automatically. Please install manually:
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echo pip install yt-dlp
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echo OR download from https://github.com/yt-dlp/yt-dlp/releases
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exit /b 1
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)
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)
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)
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REM Verify yt-dlp is now available
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where yt-dlp >nul 2>&1
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if %errorlevel% neq 0 (
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echo ERROR: yt-dlp installation failed
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exit /b 1
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)
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for /f "tokens=*" %%V in ('yt-dlp --version 2^>nul') do echo yt-dlp: %%V
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where ffmpeg >nul 2>&1
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if %errorlevel% neq 0 (
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echo ERROR: ffmpeg not found. Please install manually:
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echo winget install ffmpeg
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echo OR download from https://ffmpeg.org/download.html
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exit /b 1
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)
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for /f "tokens=1-3" %%A in ('ffmpeg -version 2^>^&1') do (
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if "%%A"=="ffmpeg" echo ffmpeg: %%B %%C
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goto :ffmpeg_done
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)
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:ffmpeg_done
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REM ── Install npm dependencies ─────────────────────────────────────────────────
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echo Installing npm dependencies...
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where npm >nul 2>&1
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if %errorlevel% neq 0 (
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echo ERROR: npm not found. Install Node.js from https://nodejs.org and retry.
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exit /b 1
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)
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cd /d "%SKILL_DIR%"
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npm install --production
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if %errorlevel% neq 0 (
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echo ERROR: npm install failed
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exit /b 1
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)
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echo SmartHome-Bench deployed successfully
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endlocal
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exit /b 0

‎skills/detection/yolo-detection-2026/deploy.bat‎

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@echo off
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REM deploy.bat — Zero-assumption bootstrapper for YOLO 2026 Detection Skill (Windows)
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REM
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REM Probes the system for Python, GPU backends, and installs the minimum
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REM viable stack. Called by Aegis skill-runtime-manager during installation.
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REM
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REM Uses skills\lib\env_config.py for hardware detection and model optimization.
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REM
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REM Exit codes:
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REM 0 = success
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REM 1 = fatal error (no Python found)
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REM 2 = partial success (CPU-only fallback)
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setlocal enabledelayedexpansion
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set "SKILL_DIR=%~dp0"
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REM Remove trailing backslash
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if "%SKILL_DIR:~-1%"=="\" set "SKILL_DIR=%SKILL_DIR:~0,-1%"
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set "VENV_DIR=%SKILL_DIR%\.venv"
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set "LOG_PREFIX=[YOLO-2026-deploy]"
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REM Resolve lib dir (two levels up + lib)
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set "LIB_DIR="
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if exist "%SKILL_DIR%\..\..\lib\env_config.py" (
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pushd "%SKILL_DIR%\..\..\lib"
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set "LIB_DIR=!CD!"
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popd
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)
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REM ─── Step 1: Find Python ───────────────────────────────────────────────────
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echo %LOG_PREFIX% Searching for Python...>&2
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set "PYTHON_CMD="
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REM Try the Windows Python launcher (py.exe) first — ships with python.org installer
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for %%V in (3.12 3.11 3.10 3.9) do (
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if not defined PYTHON_CMD (
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py -%%V --version >nul 2>&1
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if !errorlevel! equ 0 (
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set "PYTHON_CMD=py -%%V"
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)
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)
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)
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REM Fallback: bare python3 / python on PATH
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if not defined PYTHON_CMD (
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python3 --version >nul 2>&1
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if !errorlevel! equ 0 (
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REM Verify version >= 3.9
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for /f "tokens=2 delims= " %%A in ('python3 --version 2^>^&1') do set "_pyver=%%A"
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for /f "tokens=1,2 delims=." %%A in ("!_pyver!") do (
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if %%A geq 3 if %%B geq 9 set "PYTHON_CMD=python3"
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)
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)
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)
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if not defined PYTHON_CMD (
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python --version >nul 2>&1
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if !errorlevel! equ 0 (
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for /f "tokens=2 delims= " %%A in ('python --version 2^>^&1') do set "_pyver=%%A"
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for /f "tokens=1,2 delims=." %%A in ("!_pyver!") do (
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if %%A geq 3 if %%B geq 9 set "PYTHON_CMD=python"
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)
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)
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)
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if not defined PYTHON_CMD (
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echo %LOG_PREFIX% ERROR: No Python ^>=3.9 found. Install Python 3.9+ and retry.>&2
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echo {"event": "error", "stage": "python", "message": "No Python >=3.9 found"}
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exit /b 1
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)
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for /f "tokens=*" %%A in ('!PYTHON_CMD! --version 2^>^&1') do set "PY_VERSION=%%A"
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echo %LOG_PREFIX% Using Python: %PYTHON_CMD% (%PY_VERSION%)>&2
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echo {"event": "progress", "stage": "python", "message": "Found %PY_VERSION%"}
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REM ─── Step 2: Create virtual environment ────────────────────────────────────
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if not exist "%VENV_DIR%\Scripts\python.exe" (
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echo %LOG_PREFIX% Creating virtual environment...>&2
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%PYTHON_CMD% -m venv "%VENV_DIR%"
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if !errorlevel! neq 0 (
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echo %LOG_PREFIX% ERROR: Failed to create virtual environment>&2
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echo {"event": "error", "stage": "venv", "message": "Failed to create venv"}
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exit /b 1
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)
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)
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set "PIP=%VENV_DIR%\Scripts\pip.exe"
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set "VPYTHON=%VENV_DIR%\Scripts\python.exe"
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"%PIP%" install --upgrade pip -q >nul 2>&1
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echo {"event": "progress", "stage": "venv", "message": "Virtual environment ready"}
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REM ─── Step 2.5: Bundle env_config.py alongside detect.py ────────────────────
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if defined LIB_DIR (
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if exist "%LIB_DIR%\env_config.py" (
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copy /Y "%LIB_DIR%\env_config.py" "%SKILL_DIR%\scripts\env_config.py" >nul 2>&1
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echo %LOG_PREFIX% Bundled env_config.py into scripts\>&2
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)
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)
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REM ─── Step 3: Detect hardware via env_config ────────────────────────────────
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set "BACKEND=cpu"
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REM Find env_config.py — bundled copy or repo lib\
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set "ENV_CONFIG_DIR="
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if exist "%SKILL_DIR%\scripts\env_config.py" (
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set "ENV_CONFIG_DIR=%SKILL_DIR%\scripts"
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) else if defined LIB_DIR (
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if exist "%LIB_DIR%\env_config.py" (
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set "ENV_CONFIG_DIR=%LIB_DIR%"
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)
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)
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if defined ENV_CONFIG_DIR (
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echo %LOG_PREFIX% Detecting hardware via env_config.py...>&2
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REM Run env_config detection via Python
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for /f "tokens=*" %%B in ('"%VPYTHON%" -c "import sys; sys.path.insert(0, r'!ENV_CONFIG_DIR!'); from env_config import HardwareEnv; env = HardwareEnv.detect(); print(env.backend)" 2^>nul') do (
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set "DETECTED_BACKEND=%%B"
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)
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REM Validate backend value (Windows: only cuda, intel, cpu are realistic)
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if "!DETECTED_BACKEND!"=="cuda" (
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set "BACKEND=cuda"
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) else if "!DETECTED_BACKEND!"=="intel" (
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set "BACKEND=intel"
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) else if "!DETECTED_BACKEND!"=="cpu" (
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set "BACKEND=cpu"
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) else (
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echo %LOG_PREFIX% env_config returned '!DETECTED_BACKEND!', falling back to heuristic>&2
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set "BACKEND=cpu"
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)
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echo %LOG_PREFIX% env_config detected backend: !BACKEND!>&2
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) else (
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echo %LOG_PREFIX% env_config.py not found, using heuristic detection...>&2
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REM Fallback: inline GPU detection via nvidia-smi
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where nvidia-smi >nul 2>&1
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if !errorlevel! equ 0 (
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for /f "tokens=*" %%G in ('nvidia-smi --query-gpu^=driver_version --format^=csv^,noheader 2^>nul') do (
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if not "%%G"=="" (
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set "BACKEND=cuda"
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echo %LOG_PREFIX% Detected NVIDIA GPU ^(driver: %%G^)>&2
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)
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)
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)
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)
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echo {"event": "progress", "stage": "gpu", "backend": "!BACKEND!", "message": "Compute backend: !BACKEND!"}
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REM ─── Step 4: Install requirements ──────────────────────────────────────────
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set "REQ_FILE=%SKILL_DIR%\requirements_!BACKEND!.txt"
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if not exist "!REQ_FILE!" (
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echo %LOG_PREFIX% WARNING: !REQ_FILE! not found, falling back to CPU>&2
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set "REQ_FILE=%SKILL_DIR%\requirements_cpu.txt"
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set "BACKEND=cpu"
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)
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echo %LOG_PREFIX% Installing dependencies from !REQ_FILE! ...>&2
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echo {"event": "progress", "stage": "install", "message": "Installing !BACKEND! dependencies..."}
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if "!BACKEND!"=="cuda" (
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REM CUDA on Windows: install torch with CUDA index, then remaining deps
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"%PIP%" install torch torchvision --index-url https://download.pytorch.org/whl/cu124 -q 2>&1 | findstr /V "^$" >nul
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if !errorlevel! neq 0 (
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echo %LOG_PREFIX% WARNING: CUDA torch install failed, trying cu121...>&2
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"%PIP%" install torch torchvision --index-url https://download.pytorch.org/whl/cu121 -q 2>&1 | findstr /V "^$" >nul
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)
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REM Install remaining requirements (ultralytics, etc.)
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"%PIP%" install -r "!REQ_FILE!" -q 2>&1 | findstr /V "^$" >nul
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) else (
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"%PIP%" install -r "!REQ_FILE!" -q 2>&1 | findstr /V "^$" >nul
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)
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REM ─── Step 5: Pre-convert model to optimized format ─────────────────────────
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if "!BACKEND!" neq "cpu" (
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echo %LOG_PREFIX% Pre-converting model to optimized format for !BACKEND!...>&2
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echo {"event": "progress", "stage": "optimize", "message": "Converting model for !BACKEND! (~30-120s)..."}
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"%VPYTHON%" -c "import sys; sys.path.insert(0, r'!ENV_CONFIG_DIR!'); from env_config import HardwareEnv; env = HardwareEnv.detect(); from ultralytics import YOLO; model = YOLO('yolo26n.pt'); result = env.export_model(model, 'yolo26n'); print(f'Optimized model exported: {result}' if result else 'Export skipped or failed')" 2>&1
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if !errorlevel! equ 0 (
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echo {"event": "progress", "stage": "optimize", "message": "Model optimization complete"}
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) else (
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echo %LOG_PREFIX% WARNING: Model optimization failed, will use PyTorch at runtime>&2
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echo {"event": "progress", "stage": "optimize", "message": "Optimization failed — PyTorch fallback"}
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)
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) else if exist "%SKILL_DIR%\requirements_cpu.txt" (
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echo %LOG_PREFIX% Pre-converting model to ONNX for CPU...>&2
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echo {"event": "progress", "stage": "optimize", "message": "Converting model for cpu (~30-120s)..."}
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"%VPYTHON%" -c "import sys; sys.path.insert(0, r'!ENV_CONFIG_DIR!'); from env_config import HardwareEnv; env = HardwareEnv.detect(); from ultralytics import YOLO; model = YOLO('yolo26n.pt'); result = env.export_model(model, 'yolo26n'); print(f'Optimized model exported: {result}' if result else 'Export skipped or failed')" 2>&1
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if !errorlevel! equ 0 (
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echo {"event": "progress", "stage": "optimize", "message": "Model optimization complete"}
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) else (
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echo %LOG_PREFIX% WARNING: Model optimization failed, will use PyTorch at runtime>&2
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echo {"event": "progress", "stage": "optimize", "message": "Optimization failed — PyTorch fallback"}
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)
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)
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REM ─── Step 6: Verify installation ───────────────────────────────────────────
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echo %LOG_PREFIX% Verifying installation...>&2
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"%VPYTHON%" -c "import sys, json; sys.path.insert(0, r'!ENV_CONFIG_DIR!'); from env_config import HardwareEnv; env = HardwareEnv.detect(); print(json.dumps(env.to_dict(), indent=2))" 2>&1
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echo {"event": "complete", "backend": "!BACKEND!", "message": "YOLO 2026 skill installed (!BACKEND! backend)"}
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echo %LOG_PREFIX% Done! Backend: !BACKEND!>&2
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endlocal
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exit /b 0

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