Add notebook checkpoints to .gitignore

.gitignore

@@ -3,3 +3,10 @@ data/*
 
 # Cache directories
 .cache/
+
+# COLMAP binaries
+colmap/COLMAP/
+
+# LichtFeld Studio binaries
+/lichtfeld-studio/LichtFeld-Studio-Portable/
+.ipynb_checkpoints

.gitmodules

@@ -18,3 +18,7 @@
 	path = mq3drecon/metaquest-3d-reconstruction
 	url = https://github.com/t-34400/metaquest-3d-reconstruction
 	branch = main
+[submodule "ml-sharp"]
+	path = ml-sharp/ml-sharp
+	url = https://github.com/apple/ml-sharp.git
+	branch = main

archive/colmap/Dockerfile

@@ -0,0 +1,132 @@
+ARG UBUNTU_VERSION=24.04
+ARG NVIDIA_CUDA_VERSION=12.9.1
+
+#
+# Docker builder stage.
+#
+FROM nvidia/cuda:${NVIDIA_CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} AS builder
+
+ARG COLMAP_GIT_COMMIT=main
+ARG CUDA_ARCHITECTURES=86
+ENV QT_XCB_GL_INTEGRATION=xcb_egl
+
+# Prevent stop building ubuntu at time zone selection.
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Prepare and empty machine for building.
+RUN apt-get update && \
+    apt-get install -y \
+        git \
+        cmake \
+        ninja-build \
+        build-essential \
+        libboost-program-options-dev \
+        libboost-graph-dev \
+        libboost-system-dev \
+        libeigen3-dev \
+        libopenimageio-dev \
+        openimageio-tools \
+        libmetis-dev \
+        libgoogle-glog-dev \
+        libgtest-dev \
+        libgmock-dev \
+        libsqlite3-dev \
+        libglew-dev \
+        qt6-base-dev \
+        libqt6opengl6-dev \
+        libqt6openglwidgets6 \
+        libcgal-dev \
+        libcurl4-openssl-dev \
+        libssl-dev \
+        libmkl-full-dev \
+        libsuitesparse-dev \
+        libcudss0-dev-cuda-12 \
+        libcudss0-static-cuda-12
+
+# Install Ceres Solver with CUDA support. Disable testing and examples since
+# the GPU isn't available to us at build time
+RUN git clone --recursive https://github.com/ceres-solver/ceres-solver
+RUN mkdir ceres-bin && \
+    cd ceres-bin && \
+    cmake ../ceres-solver \
+        -DUSE_CUDA=ON \
+        -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCHITECTURES} \
+        -DBUILD_TESTING=OFF \
+        -DBUILD_EXAMPLES=OFF \
+        -DCMAKE_BUILD_TYPE=Release \
+        -Dcudss_DIR=/usr/lib/x86_64-linux-gnu/libcudss/12/cmake/cudss \
+        -Dcudss_INCLUDE_DIR=/usr/include/libcudss/12 && \
+    make -j8 && \
+    make test && \
+    make install
+
+# Fix issue in Ubuntu's openimageio CMake config.
+# We don't depend on any of openimageio's OpenCV functionality,
+# but it still requires the OpenCV include directory to exist.
+RUN mkdir -p /usr/include/opencv4
+
+# Build and install COLMAP.
+RUN git clone --recursive https://github.com/colmap/colmap.git
+RUN cd colmap && \
+    git fetch https://github.com/colmap/colmap.git ${COLMAP_GIT_COMMIT} && \
+    git checkout FETCH_HEAD && \
+    mkdir build && \
+    cd build && \
+    cmake .. \
+        -GNinja \
+        -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCHITECTURES} \
+        -DCMAKE_INSTALL_PREFIX=/colmap-install \
+        -DBLA_VENDOR=Intel10_64lp \
+        -Dcudss_DIR=/usr/lib/x86_64-linux-gnu/libcudss/12/cmake/cudss \
+        -Dcudss_INCLUDE_DIR=/usr/include/libcudss/12 && \
+    ninja install
+
+#
+# Docker runtime stage.
+#
+FROM nvidia/cuda:${NVIDIA_CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION} AS runtime
+
+# Minimal dependencies to run COLMAP binary compiled in the builder stage.
+# Note: this reduces the size of the final image considerably, since all the
+# build dependencies are not needed.
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends --no-install-suggests \
+        libboost-program-options1.83.0 \
+        libspqr4 \
+        libcholmod5 \
+        libc6 \
+        libomp5 \
+        libopengl0 \
+        libmetis5 \
+        libopenimageio2.4t64 \
+        libgcc-s1 \
+        libgl1 \
+        libglew2.2 \
+        libgoogle-glog0v6t64 \
+        libqt6core6 \
+        libqt6gui6 \
+        libqt6widgets6 \
+        libqt6openglwidgets6 \
+        libcurl4 \
+        libssl3t64 \
+        libmkl-locale \
+        libmkl-intel-lp64 \
+        libmkl-intel-thread \
+        libmkl-core \
+        libcudss0-cuda-12 && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Copy all files from /colmap-install/ in the builder stage to /usr/local/ in
+# the runtime stage. This simulates installing COLMAP in the default location
+# (/usr/local/), which simplifies environment variables. It also allows the user
+# of this Docker image to use it as a base image for compiling against COLMAP as
+# a library. For instance, CMake will be able to find COLMAP easily with the
+# command: find_package(COLMAP REQUIRED).
+COPY --from=builder /colmap-install/ /usr/local/
+COPY --from=builder /usr/local/include/ /usr/local/include/
+COPY --from=builder /usr/local/lib/ /usr/local/lib/
+COPY --from=builder /usr/lib/x86_64-linux-gnu/libcudss /usr/lib/x86_64-linux-gnu/libcudss
+
+ENV LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/libcudss/12:$LD_LIBRARY_PATH
+WORKDIR /workspace

archive/colmap/docker-compose.yml

@@ -0,0 +1,13 @@
+services:
+
+  colmap:
+    build:
+      context: .
+    image: colmap:dev
+    extends:
+      file: ../config.yml
+      service: win-gui-app
+    volumes:
+      - type: bind
+        source: ./.cache/colmap
+        target: /root/.cache

archive/colmap/run.bat

@@ -0,0 +1 @@
+docker compose run --rm -it --name colmap colmap

archive/lichtfeld-studio/docker-compose.yml

@@ -7,3 +7,7 @@ services:
     extends:
       file: ../config.yml
       service: win-gui-app
+    volumes:
+      - type: bind
+        source: ./.cache
+        target: /tmp/LichtFeldStudio

archive/svraster/Dockerfile-svraster

@@ -0,0 +1,53 @@
+# Builder stage
+FROM nvidia/cuda:12.8.0-devel-ubuntu22.04 as builder
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV QT_XCB_GL_INTEGRATION=xcb_egl
+ENV TORCH_CUDA_ARCH_LIST=86
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends --no-install-suggests \
+        build-essential \
+        git \
+        ninja-build \
+        python3-pip \
+        python3.10-dev \
+        wget
+
+WORKDIR /workspace/svraster
+
+RUN pip3 config set global.break-system-packages true
+
+RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
+
+RUN git clone --recursive https://github.com/NVlabs/svraster.git /workspace/svraster
+RUN pip3 install -r requirements.txt
+RUN MAX_JOBS=8 pip3 install -e cuda/
+
+RUN pip3 install "numpy<2.0.0" viser
+
+RUN chmod -R go=u /usr/local/lib/python3.10
+
+# Runtime stage
+FROM nvidia/cuda:12.8.0-runtime-ubuntu22.04 as runtime
+
+ENV TORCH_CUDA_ARCH_LIST=86
+WORKDIR /workspace
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends --no-install-suggests \
+        build-essential \
+        libgl1 \
+        libglew2.2 \
+        libglib2.0-0 \
+        python-is-python3 \
+        python3.10 \
+        python3.10-dev && \
+    rm -rf /var/lib/apt/lists/*
+
+# Copy packages from builder stage.
+COPY --from=builder /workspace /workspace
+COPY --from=builder /usr/local/lib/python3.10/dist-packages/ /usr/local/lib/python3.10/dist-packages/
+
+# Bash as default entrypoint.
+CMD ["/bin/bash", "-l"]

colmap/install.bat

@@ -0,0 +1,4 @@
+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)
+```

ml-sharp/Dockerfile

@@ -0,0 +1,18 @@
+FROM continuumio/miniconda3:latest
+
+WORKDIR /workspace/ml-sharp
+COPY ml-sharp .
+
+RUN conda create -n sharp python=3.13
+SHELL ["conda", "run", "-n", "sharp", "/bin/bash", "-c"]
+
+RUN pip install -r requirements.txt
+RUN pip3 install --no-cache-dir \
+      --index-url https://download.pytorch.org/whl/cu130 \
+      #--extra-index-url https://mirrors.tencent.com/pytorch-wheels/whl/cu130/ \
+      torch \
+      torchvision
+
+WORKDIR /workspace
+RUN echo "conda activate sharp" >> ~/.profile
+CMD ["/bin/bash", "-l"]

ml-sharp/docker-compose.yml

@@ -0,0 +1,16 @@
+services:
+
+  ml-sharp:
+    build: 
+      context: .
+    image: ml-sharp:personal
+    extends:
+      file: ../config.yml
+      service: base-app
+    volumes:
+      - type: bind
+        source: ./ml-sharp
+        target: /workspace/ml-sharp
+      - type: bind
+        source: ./.cache
+        target: /root/.cache

ml-sharp/run-ml-sharp.bat

@@ -0,0 +1 @@
+docker compose run --rm -it --name ml-sharp ml-sharp

mq3drecon/docker-compose.yml

@@ -3,7 +3,7 @@ services:
   mq3drecon:
     build: 
       context: .
-    image: mq3drecon:dev
+    image: mq3drecon:personal
     extends:
       file: ../config.yml
       service: win-gui-app

muggled-sam/Dockerfile

@@ -1,13 +1,17 @@
-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 \
         libsm6 \
-        libxext6
+        libxext6 && \
+    rm -rf /var/lib/apt/lists/*
 
 WORKDIR /workspace/muggled-sam
 

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

@@ -3,7 +3,7 @@ services:
   muggled_sam:
     build: 
       context: .
-    image: muggled_sam:dev
+    image: muggled_sam:personal
     extends:
       file: ../config.yml
       service: win-gui-app
@@ -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 

splat-transform/Dockerfile

@@ -0,0 +1,8 @@
+FROM node:current-alpine3.23
+
+RUN npm install -g @playcanvas/splat-transform
+RUN apk add gcompat
+
+WORKDIR /workspace
+
+CMD ["/bin/sh", "-l"]

splat-transform/docker-compose.yml

@@ -0,0 +1,10 @@
+services:
+
+  splat_transform:
+    build: 
+      context: .
+    image: splat_transform:personal
+    extends:
+      file: ../config.yml
+      service: base-app
+

splat-transform/splat-transform.bat

@@ -0,0 +1 @@
+docker compose run --rm -it --name splat_transform --entrypoint /bin/sh splat_transform