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master
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| ae50c9ce19 | |||
| dc7e2ad9d1 | |||
| e89601d835 | |||
| e17bef0f89 | |||
| 4f795aad96 |
+5
-8
@@ -5,11 +5,8 @@ data/*
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.cache/
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.cache/
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# COLMAP binaries
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# COLMAP binaries
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colmap/bin
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colmap/COLMAP/
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colmap/lib
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colmap/include
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# LichtFeld Studio binaries
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colmap/share
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/lichtfeld-studio/LichtFeld-Studio-Portable/
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colmap/plugins
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.ipynb_checkpoints
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colmap/COLMAP.bat
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colmap/RUN_TESTS.bat
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/lichtfeld-studio/LichtFeld-Studio*
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@@ -1,3 +1,4 @@
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curl -LO https://github.com/lyehe/build_gpu_colmap/releases/latest/download/COLMAP-windows-latest-CUDA-cuDSS-GUI.zip
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curl -L -o colmap-x64-windows-cuda.zip "https://github.com/colmap/colmap/releases/latest/download/colmap-x64-windows-cuda.zip"
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tar -xf COLMAP-windows-latest-CUDA-cuDSS-GUI.zip
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mkdir COLMAP
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del COLMAP-windows-latest-CUDA-cuDSS-GUI.zip
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tar -xf colmap-x64-windows-cuda.zip -C COLMAP
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del colmap-x64-windows-cuda.zip
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Submodule lichtfeld-studio/LichtFeld-Studio updated: 4ad2d1a4c5...584f154bfd
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1. Go to AppData directory
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```
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cd %APPDATA%
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```
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2. Clone and set up vcpkg
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```
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git clone https://github.com/microsoft/vcpkg.git
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cd vcpkg && .\bootstrap-vcpkg.bat -disableMetrics && cd ..
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```
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3. Run the following in the LichtFeld-Studio directory
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NOTE: This creates a portable build for devices with CUDA Compute Capability 8.6
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```
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cmake -B build -S . -G Ninja ^
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-DCMAKE_BUILD_TYPE=Release ^
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-DBUILD_PORTABLE=ON ^
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-DBUILD_PYTHON_STUBS=OFF ^
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-DCMAKE_CUDA_ARCHITECTURES=86 ^
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-DBUILD_CUDA_MIN_SM=86 ^
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-DCMAKE_TOOLCHAIN_FILE="%APPDATA%\vcpkg\scripts\buildsystems\vcpkg.cmake"
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```
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4. Run the following. Adjust the number of threads accordingly
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```
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cmake --build build -j4
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```
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5. Run the following to create the portable build.
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```
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cmake --install build --prefix ../LichtFeld-Studio-Portable
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```
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| NOTE: The full directory structure of the portable install should look like so:
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```
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.
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├── bin/
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├── DLLs/
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├── extensions/
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├── Lib/
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├── share/
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└── LICENSE (35 KB)
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```
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@@ -1,8 +1,11 @@
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FROM pytorch/pytorch:2.6.0-cuda12.6-cudnn9-runtime
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FROM pytorch/pytorch:2.12.0-cuda13.2-cudnn9-runtime
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RUN pip install \
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RUN pip install --break-system-packages --no-cache-dir \
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"opencv-python>=4.5,<4.12" \
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"opencv-python>=4.5,<4.12" \
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"numpy>=1.21,<2.3"
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"numpy>=1.21,<2.3" \
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"gradio" \
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"notebook" \
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"matplotlib"
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RUN apt-get update && apt-get install -y \
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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ffmpeg \
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@@ -0,0 +1 @@
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jupyter notebook --allow-root --ip 0.0.0.0 --no-browser --NotebookApp.token='' --NotebookApp.password=''
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@@ -11,6 +11,9 @@ services:
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- type: bind
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- type: bind
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source: ./muggled_sam
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source: ./muggled_sam
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target: /workspace/muggled-sam
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target: /workspace/muggled-sam
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- type: bind
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source: ./notebooks
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target: /workspace/muggled-sam/notebooks
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- type: bind
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- type: bind
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source: ../data/muggled-sam/saved_images
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source: ../data/muggled-sam/saved_images
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target: /workspace/muggled-sam/saved_images
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target: /workspace/muggled-sam/saved_images
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@@ -1 +0,0 @@
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curl -o "muggled_sam\model_weights\sam2.1_hiera_large.pt" https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_large.pt
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+1
-1
Submodule muggled-sam/muggled_sam updated: 64ee169634...ab3c930712
File diff suppressed because one or more lines are too long
@@ -1 +1 @@
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docker compose run --rm -it --name muggled_sam muggled_sam
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docker compose run -p 8888:8888 -p 7860:7860 --rm -it --name muggled_sam muggled_sam
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docker compose run -p 8888:8888 -p 7860:7860 --rm -it --entrypoint "jupyter notebook --allow-root --ip 0.0.0.0 --no-browser --NotebookApp.token='' --NotebookApp.password=''" --name muggled_sam muggled_sam
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