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chore: use colmap path
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colmap.bat
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colmap.bat
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REM --- Modified to use CUDA for GPU acceleration ---
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REM Prerequisites:
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REM 1. ffmpeg.exe and colmap.exe must be in the system PATH or the same directory as this script.
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REM 1. ffmpeg.exe must be in the system PATH or the same directory as this script.
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REM 2. The COLMAP build MUST support CUDA.
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REM 3. Appropriate NVIDIA drivers and CUDA toolkit (compatible with your COLMAP build) must be installed.
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REM Set COLMAP path (modify this path to match your COLMAP location)
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set COLMAP_PATH=C:\Users\kiera\Downloads\colmap-x64-windows-cuda\colmap.bat
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REM Define paths (using backslashes for Windows compatibility)
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set INPUT_VIDEO=data\input.mov
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REM Step 2: Run COLMAP feature extraction (Using CUDA GPU)
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echo Running COLMAP feature extraction (CUDA)...
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colmap feature_extractor ^
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"%COLMAP_PATH%" feature_extractor ^
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--database_path "%COLMAP_DB%" ^
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--image_path "%FRAMES_DIR%" ^
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--ImageReader.camera_model SIMPLE_RADIAL ^
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REM Step 3: Run COLMAP feature matching (Using CUDA GPU)
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echo Running COLMAP feature matching (CUDA)...
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colmap exhaustive_matcher ^
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"%COLMAP_PATH%" exhaustive_matcher ^
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--database_path "%COLMAP_DB%" ^
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--SiftMatching.use_gpu 1
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if errorlevel 1 (
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REM Step 4: Run COLMAP sparse reconstruction
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REM Note: The 'mapper' step primarily uses CPU.
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echo Running COLMAP sparse reconstruction...
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colmap mapper ^
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"%COLMAP_PATH%" mapper ^
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--database_path "%COLMAP_DB%" ^
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--image_path "%FRAMES_DIR%" ^
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--output_path "%SPARSE_DIR%"
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REM Step 5: Run COLMAP dense reconstruction
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echo Running COLMAP image undistorter...
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colmap image_undistorter ^
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"%COLMAP_PATH%" image_undistorter ^
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--image_path "%FRAMES_DIR%" ^
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--input_path "%SPARSE_DIR%\0" ^
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--output_path "%DENSE_DIR%"
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echo Running COLMAP patch matching (Using CUDA GPU)...
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REM Use --PatchMatchStereo.gpu_index 0 to select the first CUDA device. Change if needed.
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colmap patch_match_stereo ^
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"%COLMAP_PATH%" patch_match_stereo ^
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--workspace_path "%DENSE_DIR%" ^
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--PatchMatchStereo.gpu_index 0
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if errorlevel 1 (
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echo Running COLMAP stereo fusion...
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REM Note: Stereo fusion is primarily CPU-bound.
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colmap stereo_fusion ^
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"%COLMAP_PATH%" stereo_fusion ^
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--workspace_path "%DENSE_DIR%" ^
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--output_path "%DENSE_DIR%\fused.ply"
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if errorlevel 1 (
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REM Output camera pose information
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echo Extracting camera pose information...
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colmap model_converter ^
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"%COLMAP_PATH%" model_converter ^
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--input_path "%SPARSE_DIR%\0" ^
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--output_path "%SPARSE_DIR%\txt" ^
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--output_type TXT