commit 51e6bef889c7344b6c272c06e369768acc3ffecf · dunkirk.sh/inky

.gitignore

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       data/

     

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       PROSPECTUS.md

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colmap.bat

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       @echo off

     

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       setlocal

     

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       REM --- Windows Batch Version of inky/colmap.sh ---

     

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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 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 Define paths (using backslashes for Windows compatibility)

     

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       set INPUT_VIDEO=data\input.mov

     

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       set FRAMES_DIR=data\frames

     

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       set COLMAP_DB=data\colmap.db

     

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       set SPARSE_DIR=data\sparse

     

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       set DENSE_DIR=data\dense

     

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       REM Check if input video exists

     

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       if not exist "%INPUT_VIDEO%" (

     

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           echo Error: Input video not found at %INPUT_VIDEO%

     

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           exit /b 1

     

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       )

     

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       REM Create directories

     

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       echo Creating directories...

     

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       if not exist "data" mkdir "data"

     

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       if not exist "%FRAMES_DIR%" mkdir "%FRAMES_DIR%"

     

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       if errorlevel 1 ( echo Failed to create %FRAMES_DIR%. & exit /b 1 )

     

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       if not exist "%SPARSE_DIR%" mkdir "%SPARSE_DIR%"

     

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       if errorlevel 1 ( echo Failed to create %SPARSE_DIR%. & exit /b 1 )

     

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       if not exist "%DENSE_DIR%" mkdir "%DENSE_DIR%"

     

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       if errorlevel 1 ( echo Failed to create %DENSE_DIR%. & exit /b 1 )

     

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       REM Step 1: Extract frames from video

     

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       echo Extracting frames from video...

     

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       ffmpeg -i "%INPUT_VIDEO%" -q:v 1 "%FRAMES_DIR%\frame_%%04d.jpg"

     

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       if errorlevel 1 (

     

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           echo Error: ffmpeg frame extraction failed. Check ffmpeg output/log.

     

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           exit /b 1

     

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       )

     

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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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         --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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         --SiftExtraction.use_gpu 1

     

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       if errorlevel 1 (

     

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           echo Error: COLMAP feature_extractor failed. Check COLMAP output/log. Ensure CUDA is working.

     

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           exit /b 1

     

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       )

     

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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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         --database_path "%COLMAP_DB%" ^

     

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         --SiftMatching.use_gpu 1

     

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       if errorlevel 1 (

     

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           echo Error: COLMAP exhaustive_matcher failed. Check COLMAP output/log. Ensure CUDA is working.

     

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           exit /b 1

     

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       )

     

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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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         --database_path "%COLMAP_DB%" ^

     

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         --image_path "%FRAMES_DIR%" ^

     

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         --output_path "%SPARSE_DIR%"

     

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       if errorlevel 1 (

     

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           echo Warning: COLMAP mapper returned an error code (%ERRORLEVEL%), but proceeding. Check COLMAP output/log.

     

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           REM Mapper might "fail" (e.g., if few matches) but sometimes produces usable results.

     

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           REM More robust checking might be needed depending on COLMAP's specific exit codes.

     

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       )

     

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       REM Check if the expected output directory from mapper exists

     

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       REM COLMAP often creates numbered subdirectories (0, 1, ...) for different models.

     

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       REM We assume the first model (0) is the one we want.

     

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       if not exist "%SPARSE_DIR%\0" (

     

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           echo Error: Sparse reconstruction output directory (%SPARSE_DIR%\0) not found.

     

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           echo Mapper likely failed to produce a valid reconstruction. Check COLMAP output/log.

     

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           exit /b 1

     

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       )

     

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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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         --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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       if errorlevel 1 (

     

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           echo Error: COLMAP image_undistorter failed. Check COLMAP output/log.

     

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           exit /b 1

     

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       )

     

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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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         --workspace_path "%DENSE_DIR%" ^

     

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         --PatchMatchStereo.gpu_index 0

     

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       if errorlevel 1 (

     

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           echo Error: COLMAP patch_match_stereo failed. Check COLMAP output/log. Ensure CUDA is working.

     

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           exit /b 1

     

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       )

     

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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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         --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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           echo Error: COLMAP stereo_fusion failed. Check COLMAP output/log.

     

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           exit /b 1

     

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       )

     

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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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         --input_path "%SPARSE_DIR%\0" ^

     

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         --output_path "%SPARSE_DIR%\txt" ^

     

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         --output_type TXT

     

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       if errorlevel 1 (

     

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           echo Error: COLMAP model_converter failed. Check COLMAP output/log.

     

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           exit /b 1

     

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       )

     

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       echo COLMAP processing complete!

     

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       echo Camera poses are in: %SPARSE_DIR%\txt\images.txt

     

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       echo Dense point cloud is in: %DENSE_DIR%\fused.ply

     

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       echo Script completed successfully

     

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       endlocal

     

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       exit /b 0

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colmap.sh

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       #!/usr/bin/env -S nix shell --impure nixpkgs#ffmpeg nixpkgs#colmap nixpkgs#opencv4 --command bash

     

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       set -euo pipefail

     

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       # Define paths

     

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       INPUT_VIDEO="data/input.mov"

     

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       FRAMES_DIR="data/frames"

     

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       COLMAP_DB="data/colmap.db"

     

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       SPARSE_DIR="data/sparse"

     

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       DENSE_DIR="data/dense"

     

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       # Create directories

     

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       mkdir -p "$FRAMES_DIR" "$SPARSE_DIR" "$DENSE_DIR"

     

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       # Step 1: Extract frames from video

     

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       echo "Extracting frames from video..."

     

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       ffmpeg -i "$INPUT_VIDEO" -q:v 1 "$FRAMES_DIR/frame_%04d.jpg"

     

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       # Step 2: Run COLMAP feature extraction (CPU only)

     

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       echo "Running COLMAP feature extraction..."

     

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       colmap 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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         --SiftExtraction.use_gpu 0

     

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       # Step 3: Run COLMAP feature matching (CPU only)

     

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       echo "Running COLMAP feature matching..."

     

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       colmap exhaustive_matcher \

     

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         --database_path "$COLMAP_DB" \

     

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         --SiftMatching.use_gpu 0

     

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       # Step 4: Run COLMAP sparse reconstruction

     

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       echo "Running COLMAP sparse reconstruction..."

     

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       colmap 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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       # 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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         --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 (CPU only)..."

     

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       colmap patch_match_stereo \

     

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         --workspace_path "$DENSE_DIR" \

     

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         --PatchMatchStereo.gpu_index -1

     

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       echo "Running COLMAP stereo fusion..."

     

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       colmap stereo_fusion \

     

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         --workspace_path "$DENSE_DIR" \

     

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         --output_path "$DENSE_DIR/fused.ply"

     

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       # Output camera pose information for dithering

     

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       echo "Extracting camera pose information..."

     

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       colmap 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

     

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       echo "COLMAP processing complete!"

     

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       echo "Camera poses are in: $SPARSE_DIR/txt/images.txt"

     

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       echo "Point cloud is in: $DENSE_DIR/fused.ply"

     

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       echo "Script completed successfully"