Add notebook checkpoints to .gitignore

.gitignore

@@ -5,11 +5,8 @@ data/*
 .cache/
 
 # COLMAP binaries
-colmap/bin
-colmap/lib
-colmap/include
-colmap/share
-colmap/plugins
-colmap/COLMAP.bat
-colmap/RUN_TESTS.bat
-/lichtfeld-studio/LichtFeld-Studio*
+colmap/COLMAP/
+
+# LichtFeld Studio binaries
+/lichtfeld-studio/LichtFeld-Studio-Portable/
+.ipynb_checkpoints

colmap/install.bat

@@ -1,3 +1,4 @@
-curl -LO https://github.com/lyehe/build_gpu_colmap/releases/latest/download/COLMAP-windows-latest-CUDA-cuDSS-GUI.zip
-tar -xf COLMAP-windows-latest-CUDA-cuDSS-GUI.zip
-del 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"
+mkdir COLMAP
+tar -xf colmap-x64-windows-cuda.zip -C COLMAP
+del colmap-x64-windows-cuda.zip

lichtfeld-studio/build-instructions.txt

@@ -0,0 +1,49 @@
+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)
+```

muggled-sam/Dockerfile

@@ -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" \
-        "numpy>=1.21,<2.3"
+        "numpy>=1.21,<2.3" \
+        "gradio" \
+        "notebook" \
+        "matplotlib"
 
 RUN apt-get update && apt-get install -y \
         ffmpeg \

muggled-sam/commands

@@ -0,0 +1 @@
+jupyter notebook --allow-root --ip 0.0.0.0 --no-browser --NotebookApp.token='' --NotebookApp.password=''

muggled-sam/docker-compose.yml

@@ -11,6 +11,9 @@ services:
       - type: bind
         source: ./muggled_sam
         target: /workspace/muggled-sam
+      - type: bind
+        source: ./notebooks
+        target: /workspace/muggled-sam/notebooks
       - type: bind
         source: ../data/muggled-sam/saved_images
         target: /workspace/muggled-sam/saved_images

muggled-sam/download-model-weights.bat

@@ -1 +0,0 @@
-curl -o "muggled_sam\model_weights\sam2.1_hiera_large.pt" https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_large.pt

muggled-sam/run-muggled-sam.bat

@@ -1 +1 @@
-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

muggled-sam/run-notebook.bat

@@ -0,0 +1 @@
+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