youfufan
91df8d3cec
Adopts inaSpeechSegmenter (singing classified as music). Full argparse CLI: gap-merge nearby segments, min-duration filter, EDL + CSV export. Engine that all later versions keep. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
57 lines
1.6 KiB
Batchfile
57 lines
1.6 KiB
Batchfile
@echo off
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REM ============================================
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REM Singing Detector - Quick Setup (Windows)
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REM ============================================
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REM Run this in Anaconda Prompt / PowerShell
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REM Prerequisites: conda, ffmpeg in PATH
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REM ============================================
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echo.
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echo ============================================
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echo Singing Segment Detector - Setup
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echo ============================================
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echo.
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REM Step 1: Create conda environment
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echo [1/4] Creating conda environment (python 3.11)...
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call conda create -n singing-detector python=3.11 -y
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if %ERRORLEVEL% neq 0 (
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echo ERROR: Failed to create conda environment.
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pause
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exit /b 1
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)
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REM Activate environment
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call conda activate singing-detector
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REM Step 2: Install TensorFlow with GPU support
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echo.
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echo [2/4] Installing TensorFlow (GPU)...
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pip install tensorflow[and-cuda]
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if %ERRORLEVEL% neq 0 (
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echo WARNING: GPU TensorFlow install failed, trying CPU version...
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pip install tensorflow
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)
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REM Step 3: Install inaSpeechSegmenter
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echo.
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echo [3/4] Installing inaSpeechSegmenter...
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pip install inaSpeechSegmenter
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REM Step 4: Verify
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echo.
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echo [4/4] Verifying installation...
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python -c "from inaSpeechSegmenter import Segmenter; print('inaSpeechSegmenter OK!')"
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python -c "import tensorflow as tf; gpus = tf.config.list_physical_devices('GPU'); print(f'TensorFlow GPUs: {gpus}' if gpus else 'TensorFlow: CPU only')"
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echo.
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echo ============================================
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echo Setup complete!
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echo ============================================
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echo.
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echo Usage:
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echo conda activate singing-detector
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echo python detect_singing.py "path\to\stream.mp4"
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echo.
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pause
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