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8 Commits

19 changed files with 454 additions and 21 deletions
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@@ -5,11 +5,8 @@ data/*
.cache/ .cache/
# COLMAP binaries # COLMAP binaries
colmap/bin colmap/COLMAP/
colmap/lib
colmap/include # LichtFeld Studio binaries
colmap/share /lichtfeld-studio/LichtFeld-Studio-Portable/
colmap/plugins .ipynb_checkpoints
colmap/COLMAP.bat
colmap/RUN_TESTS.bat
/lichtfeld-studio/LichtFeld-Studio*
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[submodule "lichtfeld-studio/LichtFeld-Studio"] [submodule "lichtfeld-studio/LichtFeld-Studio"]
path = archive/lichtfeld-studio/LichtFeld-Studio path = lichtfeld-studio/LichtFeld-Studio
url = https://github.com/MrNeRF/LichtFeld-Studio url = https://github.com/MrNeRF/LichtFeld-Studio
branch = master branch = master
[submodule "pixsfm/pixel-perfect-sfm"] [submodule "pixsfm/pixel-perfect-sfm"]
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curl -LO https://github.com/lyehe/build_gpu_colmap/releases/latest/download/COLMAP-windows-latest-CUDA-cuDSS-GUI.zip curl -L -o colmap-x64-windows-cuda.zip "https://github.com/colmap/colmap/releases/latest/download/colmap-x64-windows-cuda.zip"
tar -xf COLMAP-windows-latest-CUDA-cuDSS-GUI.zip mkdir COLMAP
del COLMAP-windows-latest-CUDA-cuDSS-GUI.zip tar -xf colmap-x64-windows-cuda.zip -C COLMAP
del colmap-x64-windows-cuda.zip
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1. Go to AppData directory
```
cd %APPDATA%
```
2. Clone and set up vcpkg
```
git clone https://github.com/microsoft/vcpkg.git
cd vcpkg && .\bootstrap-vcpkg.bat -disableMetrics && cd ..
```
3. Run the following in the LichtFeld-Studio directory
NOTE: This creates a portable build for devices with CUDA Compute Capability 8.6
```
cmake -B build -S . -G Ninja ^
-DCMAKE_BUILD_TYPE=Release ^
-DBUILD_PORTABLE=ON ^
-DBUILD_PYTHON_STUBS=OFF ^
-DCMAKE_CUDA_ARCHITECTURES=86 ^
-DBUILD_CUDA_MIN_SM=86 ^
-DCMAKE_TOOLCHAIN_FILE="%APPDATA%\vcpkg\scripts\buildsystems\vcpkg.cmake"
```
4. Run the following. Adjust the number of threads accordingly
```
cmake --build build -j4
```
5. Run the following to create the portable build.
```
cmake --install build --prefix ../LichtFeld-Studio-Portable
```
| NOTE: The full directory structure of the portable install should look like so:
```
.
├── bin/
├── DLLs/
├── extensions/
├── Lib/
├── share/
└── LICENSE (35 KB)
```
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@@ -3,7 +3,7 @@ services:
ml-sharp: ml-sharp:
build: build:
context: . context: .
image: ml-sharp:me image: ml-sharp:personal
extends: extends:
file: ../config.yml file: ../config.yml
service: base-app service: base-app
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@@ -3,7 +3,7 @@ services:
mq3drecon: mq3drecon:
build: build:
context: . context: .
image: mq3drecon:dev image: mq3drecon:personal
extends: extends:
file: ../config.yml file: ../config.yml
service: win-gui-app service: win-gui-app
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@@ -1,8 +1,11 @@
FROM pytorch/pytorch:2.6.0-cuda12.6-cudnn9-runtime FROM pytorch/pytorch:2.12.0-cuda13.2-cudnn9-runtime
RUN pip install \ RUN pip install --break-system-packages --no-cache-dir \
"opencv-python>=4.5,<4.12" \ "opencv-python>=4.5,<4.12" \
"numpy>=1.21,<2.3" "numpy>=1.21,<2.3" \
"gradio" \
"notebook" \
"matplotlib"
RUN apt-get update && apt-get install -y \ RUN apt-get update && apt-get install -y \
ffmpeg \ ffmpeg \
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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:
- type: bind - type: bind
source: ./muggled_sam source: ./muggled_sam
target: /workspace/muggled-sam target: /workspace/muggled-sam
- type: bind
source: ./notebooks
target: /workspace/muggled-sam/notebooks
- type: bind - type: bind
source: ../data/muggled-sam/saved_images source: ../data/muggled-sam/saved_images
target: /workspace/muggled-sam/saved_images target: /workspace/muggled-sam/saved_images
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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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docker compose run --rm -it --name muggled_sam muggled_sam 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