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Browse files- .gitattributes +35 -0
- Dockerfile +96 -0
- README.md +11 -0
- app.py +8 -0
- requirements.txt +53 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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Dockerfile
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# Reference:
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# https://github.com/cvpaperchallenge/Ascender
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# https://github.com/nerfstudio-project/nerfstudio
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FROM nvidia/cuda:11.8.0-devel-ubuntu22.04
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ARG USER_NAME=dreamer
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ARG GROUP_NAME=dreamers
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ARG UID=1000
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ARG GID=1000
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# Set compute capability for nerfacc and tiny-cuda-nn
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# See https://developer.nvidia.com/cuda-gpus and limit number to speed-up build
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ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6 8.9 9.0+PTX"
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ENV TCNN_CUDA_ARCHITECTURES=90;89;86;80;75;70;61;60
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# Speed-up build for RTX 30xx
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# ENV TORCH_CUDA_ARCH_LIST="8.6"
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# ENV TCNN_CUDA_ARCHITECTURES=86
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# Speed-up build for RTX 40xx
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# ENV TORCH_CUDA_ARCH_LIST="8.9"
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# ENV TCNN_CUDA_ARCHITECTURES=89
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ENV CUDA_HOME=/usr/local/cuda
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ENV PATH=${CUDA_HOME}/bin:/home/${USER_NAME}/.local/bin:${PATH}:/home/${USER_NAME}/tinycudann/bin
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ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
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ENV LIBRARY_PATH=${CUDA_HOME}/lib64/stubs:${LIBRARY_PATH}
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# apt install by root user
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
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build-essential \
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curl \
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git \
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libegl1-mesa-dev \
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libgl1-mesa-dev \
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libgles2-mesa-dev \
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libglib2.0-0 \
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libsm6 \
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libxext6 \
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libxrender1 \
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python-is-python3 \
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python3.10-dev \
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python3-pip \
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wget \
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zip \
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unzip \
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&& rm -rf /var/lib/apt/lists/*
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# Change user to non-root user
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RUN groupadd -g ${GID} ${GROUP_NAME} \
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&& useradd -ms /bin/sh -u ${UID} -g ${GID} ${USER_NAME}
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USER ${USER_NAME}
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RUN pip install --upgrade pip setuptools==69.5.1 ninja
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RUN pip install xformers==0.0.22 torch==2.0.1+cu118 torchvision==0.15.2+cu118 -f https://download.pytorch.org/whl/cu118/torch_stable.html
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RUN pip install nerfacc==0.5.2 -f https://nerfacc-bucket.s3.us-west-2.amazonaws.com/whl/torch-2.0.0_cu118.html
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COPY requirements.txt /tmp
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RUN cd /tmp && pip install -r requirements.txt
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RUN pip install -U fastapi pydantic
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RUN ls .
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RUN rm -rf /home/${USER_NAME}/threestudio
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RUN rm -rf /home/${USER_NAME}/.cache
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RUN ls .
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ADD "https://api.github.com/repos/zqh0253/3DitScene/commits?per_page=1" latest_commit
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RUN git clone https://github.com/zqh0253/3DitScene.git /home/${USER_NAME}/threestudio --recursive
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WORKDIR /home/${USER_NAME}/threestudio
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RUN wget --quiet https://www.dropbox.com/scl/fi/ubyeroi2b85y78mbyy9or/1.zip?rlkey=b1sfgbmlmx3jz4onwk9qjj2rs -O tmp.zip
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RUN wget --quiet https://www.dropbox.com/scl/fi/2s4b848d4qqrz87bbfc2z/cache.zip?rlkey=f7tyf4952ey253xlzvb1lwnmc -O tmp.zip
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RUN unzip tmp.zip
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RUN pip install ./submodules/segment-anything-langsplat
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RUN pip install ./submodules/MobileSAM-lang
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RUN wget --quiet https://www.dropbox.com/scl/fi/rhl1r9qww9fq6jtjmh43x/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl?rlkey=xp02kfjvyk9urnacybp4ll108 -O diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl
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RUN pip install diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl
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RUN pip install ./submodules/simple-knn
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# RUN cd diff-gaussian-rasterization && git show-ref --heads
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RUN mkdir ckpts
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RUN wget --quiet https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth -O ./ckpts/sam_vit_h_4b8939.pth
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RUN cp /home/${USER_NAME}/threestudio/submodules/MobileSAM-lang/weights/mobile_sam.pt ./ckpts/
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# RUN git checkout 23b2d71
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CMD ["python", "gradio_app_single_process.py", "--listen", "--hf-space"]
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README.md
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---
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title: 3Dit Scene
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emoji: 📉
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colorFrom: indigo
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colorTo: purple
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sdk: docker
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pinned: false
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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demo.launch()
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requirements.txt
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# torch==1.12.1
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# torchvision==0.13.1
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lightning==2.0.0
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omegaconf==2.3.0
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jaxtyping
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typeguard
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# git+https://github.com/KAIR-BAIR/nerfacc.git@v0.5.2
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# git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
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diffusers==0.25.0
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# diffusers<0.20
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transformers==4.28.1
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accelerate
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opencv-python
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tensorboard
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matplotlib
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imageio>=2.28.0
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imageio[ffmpeg]
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git+https://github.com/NVlabs/nvdiffrast.git
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libigl
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xatlas
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trimesh[easy]
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networkx
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pysdf
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PyMCubes
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wandb
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# fastapi>=0.80
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# fastapi==0.85
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gradio==4.27.0
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# gradio
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git+https://github.com/ashawkey/envlight.git
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torchmetrics
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mediapipe
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scikit-learn
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open_clip_torch
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# deepfloyd
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# bitsandbytes==0.38.1
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# sentencepiece
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# safetensors
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# huggingface_hub
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# for zero123
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# einops
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# kornia
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# taming-transformers-rom1504
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git+https://github.com/openai/CLIP.git
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# threestudio-3DGS extension
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plyfile
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#controlnet
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controlnet_aux
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