House3D: A Rich and Realistic 3D Environment

Related tags

Deep LearningHouse3D
Overview

House3D: A Rich and Realistic 3D Environment

Yi Wu, Yuxin Wu, Georgia Gkioxari and Yuandong Tian

House3D is a virtual 3D environment which consists of thousands of indoor scenes equipped with a diverse set of scene types, layouts and objects sourced from the SUNCG dataset. It consists of over 45k indoor 3D scenes, ranging from studios to two-storied houses with swimming pools and fitness rooms. All 3D objects are fully annotated with category labels. Agents in the environment have access to observations of multiple modalities, including RGB images, depth, segmentation masks and top-down 2D map views. The renderer runs at thousands frames per second, making it suitable for large-scale RL training.

Usage instructions can be found at INSTRUCTION.md

Existing Research Projects with House3D

A. RoomNav (paper)

Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian

In this work we introduce a concept learning task, RoomNav, where an agent is asked to navigate to a destination specified by a high-level concept, e.g. dining room. We demonstrated two neural models: a gated-CNN and a gated-LSTM, which effectively improve the agent's sensitivity to different concepts. For evaluation, we emphasize on generalization ability and show that our agent can generalize across environments due to the diverse and large-scale dataset.

B. Embodied QA (project page | EQA paper | NMC paper)

Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra

Embodied Question Answering is a new AI task where an agent is spawned at a random location in a 3D environment and asked a natural language question ("What color is the car?"). In order to answer, the agent must first intelligently navigate to explore the environment, gather information through first-person (egocentric) vision, and then answer the question ("orange").

Citation

If you use our platform in your research, you can cite us with:

@article{wu2018building,
  title={Building generalizable agents with a realistic and rich 3D environment},
  author={Wu, Yi and Wu, Yuxin and Gkioxari, Georgia and Tian, Yuandong},
  journal={arXiv preprint arXiv:1801.02209},
  year={2018}
}

License

House3D is released under the Apache 2.0 license.

Comments
  • Error occurred when compile to build objrender

    Error occurred when compile to build objrender

    when I runing SYSTEM=conda.linux PYTHON_CONFIG=/home/zjw/anaconda3/envs/LG/bin/python-config make -j It comes that: /usr/include/glm/detail/type_vec3.inl:86:33: error: invalid static_cast from type ‘const glm::detail::tvec3<float, (glm::precision)0u>’ to type ‘float’ /usr/include/glm/detail/type_vec3.inl:86:33: error: invalid static_cast from type ‘const glm::detail::tvec3<float, (glm::precision)0u>’ to type ‘float’

    make: *** [build/objview-suncg.o] Error 1 make: *** [build/suncg/render.o] Error 1

    opened by Zzmonica 43
  • error: ERROR::FRAMEBUFFER: Framebuffer is not complete! ErrorCode=36061

    error: ERROR::FRAMEBUFFER: Framebuffer is not complete! ErrorCode=36061

    I am using the docker to run House3D so I guess there is no build issues. When I run python3 test-rendering.py $TEST_HOUSE or ./renderer/test-rectangle.bin headless the error error: ERROR::FRAMEBUFFER: Framebuffer is not complete! ErrorCode=36061 occur.

    The output of ./debug-build.sh is as follow:

    PATH:
    /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
    
    CPATH:
    
    
    PKG_CONFIG_PATH:
    
    
    LIBRARY_PATH:
    
    
    LD_LIBRARY_PATH:
    /usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
    
    PYTHONPATH:
    
    
    ldconfig:
    	libEGL_nvidia.so.0 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL_nvidia.so.0
    	libEGL_nvidia.so.0 (libc6) => /usr/lib/i386-linux-gnu/libEGL_nvidia.so.0
    	libEGL_mesa.so.0 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL_mesa.so.0
    	libEGL_mesa.so.0 (libc6) => /usr/lib/i386-linux-gnu/libEGL_mesa.so.0
    	libEGL.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL.so.1
    	libEGL.so.1 (libc6) => /usr/lib/i386-linux-gnu/libEGL.so.1
    	libEGL.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL.so
    	libEGL.so (libc6) => /usr/lib/i386-linux-gnu/libEGL.so
    + pkg-config --cflags --libs glfw3
    -lglfw
    + '[' '!' '' ']'
    + pkg-config --cflags --libs libglvnd
    
    + pkg-config --cflags --libs egl
    -I/usr/include/libdrm -lEGL
    + which find
    /usr/bin/find
    + which pkg-config
    /usr/bin/pkg-config
    + which python3-config
    /usr/bin/python3-config
    + python3-config --includes --ldflags
    -I/usr/include/python3.6m -I/usr/include/python3.6m
    -L/usr/lib/python3.6/config-3.6m-x86_64-linux-gnu -L/usr/lib -lpython3.6m -lpthread -ldl  -lutil -lm  -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions
    + '[' ']'
    + g++ --version
    g++ (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
    Copyright (C) 2017 Free Software Foundation, Inc.
    This is free software; see the source for copying conditions.  There is NO
    warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
    
    + '[' -f ../House3D/objrender.so ']'
    + '[' -f objview.bin ']
    

    The output of ./test-rectangle.bin egl is :

    [EGL] Detected 1 devices. Using device 0
    ----------- OpenGL Context Info --------------
    GL Version: 4.5.0 NVIDIA 384.130
    GLSL Version: 4.50 NVIDIA
    Vendor: NVIDIA Corporation
    Renderer: GeForce GTX 1060 6GB/PCIe/SSE2
    
    

    The output of ./test-rectangle.bin headless is:

    ----------- OpenGL Context Info --------------
    GL Version: 3.3.0 NVIDIA 384.130
    GLSL Version: 3.30 NVIDIA via Cg compiler
    Vendor: NVIDIA Corporation
    Renderer: GeForce GTX 1060 6GB/PCIe/SSE2
    ----------------------------------------------
    error: ERROR::FRAMEBUFFER: Framebuffer is not complete! ErrorCode=36061
    
    

    Many thanks!

    opened by weihaosky 13
  • Error in running objview-offline.bin

    Error in running objview-offline.bin

    Hi, I am getting the following error when I run objview-offline.bin.

    [EGL] Detected 0 devices. Using device 0 assertion "device < numDevices" failed, in EGLContext, (gl/glContext.cc:137) Aborted (core dumped)

    Here's the output of debug_build.sh

    PATH:
    /root/anaconda3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/u
    sr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
    
    CPATH:
    
    
    PKG_CONFIG_PATH:
    
    
    LIBRARY_PATH:
    /usr/local/cuda/lib64/stubs:
    
    LD_LIBRARY_PATH:
    /root/anaconda3/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
    
    + pkg-config --cflags --libs glew
    Package glew was not found in the pkg-config search path.
    Perhaps you should add the directory containing `glew.pc'
    to the PKG_CONFIG_PATH environment variable
    No package 'glew' found
    + pkg-config --cflags --libs glfw3
    -I/usr/include/libdrm -lglfw
    + '[' '!' '' ']'
    + pkg-config --cflags --libs libglvnd
    Package libglvnd was not found in the pkg-config search path.
    Perhaps you should add the directory containing `libglvnd.pc'
    to the PKG_CONFIG_PATH environment variable
    No package 'libglvnd' found
    + pkg-config --cflags --libs egl
    -I/usr/include/libdrm -lEGL
    + which find
    /usr/bin/find
    + which pkg-config
    /usr/bin/pkg-config
    + which python-config
    /usr/bin/python-config
    + python-config --includes --ldflags
    -I/usr/include/python2.7 -I/usr/include/x86_64-linux-gnu/python2.7
    -L/usr/lib/python2.7/config-x86_64-linux-gnu -L/usr/lib -lpython2.7 -lpthread -ldl  -lutil -lm  -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions
    + '[' ']'
    + g++ --version
    g++ (Ubuntu 5.4.0-6ubuntu1~16.04.6) 5.4.0 20160609
    Copyright (C) 2015 Free Software Foundation, Inc.
    This is free software; see the source for copying conditions.  There is NO
    warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
    
    + '[' -f ../House3D/objrender.so ']'
    + ldd ../House3D/objrender.so
            linux-vdso.so.1 =>  (0x00007ffefcbbc000)
            libpng16.so.16 => /root/anaconda3/lib/libpng16.so.16 (0x00007f9c7ea50000)
            libGL.so.1 => /usr/local/nvidia/lib64/libGL.so.1 (0x00007f9c7e7ac000)
            libEGL.so.1 => /usr/local/nvidia/lib64/libEGL.so.1 (0x00007f9c7e59a000)
            libX11.so.6 => /usr/lib/x86_64-linux-gnu/libX11.so.6 (0x00007f9c7e260000)
            libglfw.so.3 => /usr/lib/x86_64-linux-gnu/libglfw.so.3 (0x00007f9c7e04a000)
            libjpeg.so.9 => /root/anaconda3/lib/libjpeg.so.9 (0x00007f9c7de0e000)
            libpython3.6m.so.1.0 => /root/anaconda3/lib/libpython3.6m.so.1.0 (0x00007f9c7d8c9000)
            libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f9c7d6ac000)
            libstdc++.so.6 => /root/anaconda3/lib/libstdc++.so.6 (0x00007f9c7d372000)
            libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f9c7d069000)
            libgcc_s.so.1 => /root/anaconda3/lib/libgcc_s.so.1 (0x00007f9c7ce57000)
            libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f9c7ca8d000)
            /lib64/ld-linux-x86-64.so.2 (0x00007f9c7ef87000)
            libz.so.1 => /root/anaconda3/lib/./libz.so.1 (0x00007f9c7c876000)
            libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f9c7c672000)
            libGLX.so.0 => /usr/local/nvidia/lib64/libGLX.so.0 (0x00007f9c7c442000)
            libGLdispatch.so.0 => /usr/local/nvidia/lib64/libGLdispatch.so.0 (0x00007f9c7c174000)
            libxcb.so.1 => /root/anaconda3/lib/libxcb.so.1 (0x00007f9c7bf4b000)
            librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f9c7bd43000)
            libXrandr.so.2 => /usr/lib/x86_64-linux-gnu/libXrandr.so.2 (0x00007f9c7bb38000)
            libXinerama.so.1 => /usr/lib/x86_64-linux-gnu/libXinerama.so.1 (0x00007f9c7b935000)
            libXi.so.6 => /usr/lib/x86_64-linux-gnu/libXi.so.6 (0x00007f9c7b725000)
            libXxf86vm.so.1 => /usr/lib/x86_64-linux-gnu/libXxf86vm.so.1 (0x00007f9c7b51f000)
            libXcursor.so.1 => /usr/lib/x86_64-linux-gnu/libXcursor.so.1 (0x00007f9c7b315000)
            libutil.so.1 => /lib/x86_64-linux-gnu/libutil.so.1 (0x00007f9c7b112000)
            libXext.so.6 => /usr/lib/x86_64-linux-gnu/libXext.so.6 (0x00007f9c7af00000)
            libXau.so.6 => /usr/lib/x86_64-linux-gnu/libXau.so.6 (0x00007f9c7acfc000)
            libXrender.so.1 => /usr/lib/x86_64-linux-gnu/libXrender.so.1 (0x00007f9c7aaf2000)
            libXfixes.so.3 => /usr/lib/x86_64-linux-gnu/libXfixes.so.3 (0x00007f9c7a8ec000)
    
    

    I am using Anaconda 3 inside a docker on a Ubuntu16 system with 2 Nvidia GPUs.

    opened by devendrachaplot 12
  • Error when running test-rendering.py

    Error when running test-rendering.py

    Error message:

    error: Failed to get function pointer of eglQueryDevicesEXT/eglGetPlatformDisplayEXT! Maybe EGL extensions are unsupported.
    

    On Ubuntu 14.04. Exactly followed the instructions. glfw3 and glm were installed at /usr/local. Build command

    PYTHON_CONFIG=python3-config make
    

    Output of debug-build.sh

    PATH:
    /home/hzjiang/.nvm/versions/node/v8.9.4/bin:/usr/local/cuda/bin:/usr/local/cuda/bin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/jvm/java-8-oracle/bin:/usr/lib/jvm/java-8-oracle/db/bin:/usr/lib/jvm/java-8-oracle/jre/bin
    
    CPATH:
    
    
    PKG_CONFIG_PATH:
    
    
    LIBRARY_PATH:
    
    
    LD_LIBRARY_PATH:
    /usr/local/lib:/usr/local/cuda/lib:/usr/local/cuda/lib64:/usr/local/cuda/lib:/usr/local/cuda/lib64:
    
    + pkg-config --cflags --libs glew
    -I/usr/include/GL -I/usr/include/libdrm  -lGLEW -lGLU -lGL  
    + pkg-config --cflags --libs glfw3
    -I/usr/local/include  -L/usr/local/lib -lglfw  
    + [ !  ]
    + pkg-config --cflags --libs libglvnd
    Package libglvnd was not found in the pkg-config search path.
    Perhaps you should add the directory containing `libglvnd.pc'
    to the PKG_CONFIG_PATH environment variable
    No package 'libglvnd' found
    + pkg-config --cflags --libs egl
    -I/usr/include/libdrm  -lEGL  
    + which find
    /usr/bin/find
    + which pkg-config
    /usr/bin/pkg-config
    + which python-config
    /usr/bin/python-config
    + python-config --includes --ldflags
    -I/usr/include/python2.7 -I/usr/include/x86_64-linux-gnu/python2.7
    -L/usr/lib/python2.7/config-x86_64-linux-gnu -L/usr/lib -lpthread -ldl  -lutil -lm  -lpython2.7 -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions
    + [ ]
    + g++ --version
    g++ (Ubuntu 4.9.4-2ubuntu1~14.04.1) 4.9.4
    Copyright (C) 2015 Free Software Foundation, Inc.
    This is free software; see the source for copying conditions.  There is NO
    warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
    
    + [ -f ../House3D/objrender.so ]
    + ldd ../House3D/objrender.so
    	linux-vdso.so.1 =>  (0x00007ffc26ddb000)
    	libGL.so.1 => /usr/lib/x86_64-linux-gnu/mesa/libGL.so.1 (0x00007f5fa1fe4000)
    	libEGL.so.1 => /usr/lib/x86_64-linux-gnu/mesa-egl/libEGL.so.1 (0x00007f5fa1dbf000)
    	libX11.so.6 => /usr/lib/x86_64-linux-gnu/libX11.so.6 (0x00007f5fa1a8a000)
    	libpng16.so.16 => /usr/local/lib/libpng16.so.16 (0x00007f5fa1858000)
    	libglfw.so.3 => /usr/local/lib/libglfw.so.3 (0x00007f5fa1635000)
    	libjpeg.so.8 => /usr/lib/x86_64-linux-gnu/libjpeg.so.8 (0x00007f5fa13e0000)
    	libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f5fa11c2000)
    	libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f5fa0fbe000)
    	libutil.so.1 => /lib/x86_64-linux-gnu/libutil.so.1 (0x00007f5fa0dbb000)
    	libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007f5fa0aa8000)
    	libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f5fa07a2000)
    	libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007f5fa058b000)
    	libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f5fa01c2000)
    	/lib64/ld-linux-x86-64.so.2 (0x00007f5fa2846000)
    	libglapi.so.0 => /usr/lib/x86_64-linux-gnu/libglapi.so.0 (0x00007f5f9ff9b000)
    	libXext.so.6 => /usr/lib/x86_64-linux-gnu/libXext.so.6 (0x00007f5f9fd89000)
    	libXdamage.so.1 => /usr/lib/x86_64-linux-gnu/libXdamage.so.1 (0x00007f5f9fb86000)
    	libXfixes.so.3 => /usr/lib/x86_64-linux-gnu/libXfixes.so.3 (0x00007f5f9f980000)
    	libX11-xcb.so.1 => /usr/lib/x86_64-linux-gnu/libX11-xcb.so.1 (0x00007f5f9f77e000)
    	libxcb-glx.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-glx.so.0 (0x00007f5f9f567000)
    	libxcb-dri2.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-dri2.so.0 (0x00007f5f9f362000)
    	libxcb-dri3.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-dri3.so.0 (0x00007f5f9f15f000)
    	libxcb-present.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-present.so.0 (0x00007f5f9ef5c000)
    	libxcb-sync.so.1 => /usr/lib/x86_64-linux-gnu/libxcb-sync.so.1 (0x00007f5f9ed56000)
    	libxcb.so.1 => /usr/lib/x86_64-linux-gnu/libxcb.so.1 (0x00007f5f9eb37000)
    	libxshmfence.so.1 => /usr/lib/x86_64-linux-gnu/libxshmfence.so.1 (0x00007f5f9e935000)
    	libXxf86vm.so.1 => /usr/lib/x86_64-linux-gnu/libXxf86vm.so.1 (0x00007f5f9e72f000)
    	libdrm.so.2 => /usr/lib/x86_64-linux-gnu/libdrm.so.2 (0x00007f5f9e521000)
    	libxcb-xfixes.so.0 => /usr/lib/x86_64-linux-gnu/libxcb-xfixes.so.0 (0x00007f5f9e31a000)
    	libwayland-client.so.0 => /usr/lib/x86_64-linux-gnu/libwayland-client.so.0 (0x00007f5f9e10d000)
    	libwayland-server.so.0 => /usr/lib/x86_64-linux-gnu/libwayland-server.so.0 (0x00007f5f9defc000)
    	libgbm.so.1 => /usr/lib/x86_64-linux-gnu/libgbm.so.1 (0x00007f5f9dcf4000)
    	libz.so.1 => /lib/x86_64-linux-gnu/libz.so.1 (0x00007f5f9dadb000)
    	librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f5f9d8d3000)
    	libXrandr.so.2 => /usr/lib/x86_64-linux-gnu/libXrandr.so.2 (0x00007f5f9d6c9000)
    	libXinerama.so.1 => /usr/lib/x86_64-linux-gnu/libXinerama.so.1 (0x00007f5f9d4c6000)
    	libXcursor.so.1 => /usr/lib/x86_64-linux-gnu/libXcursor.so.1 (0x00007f5f9d2bc000)
    	libXau.so.6 => /usr/lib/x86_64-linux-gnu/libXau.so.6 (0x00007f5f9d0b8000)
    	libXdmcp.so.6 => /usr/lib/x86_64-linux-gnu/libXdmcp.so.6 (0x00007f5f9ceb2000)
    	libffi.so.6 => /usr/lib/x86_64-linux-gnu/libffi.so.6 (0x00007f5f9ccaa000)
    	libXrender.so.1 => /usr/lib/x86_64-linux-gnu/libXrender.so.1 (0x00007f5f9caa0000)
    

    Any help is appreciated.

    opened by playerkk 10
  • random sample generation

    random sample generation

    I'm trying to figure out how I can multithread the loading of these houses, since the metadata (JSON) processing in house.py is taking the most amount of time when trying to iterate through a lot of houses. I was trying this code out (apologies for being a bit messy, but you can start looking @ L139 of test-samples.py). When I run this code, though, it results in a segfault as soon as I start trying to render images (L149). Do you have any idea what I could try to fix this issue?

    opened by mr-lubo 9
  • Floor/walls not rendered, camera only rotates in test-env.py

    Floor/walls not rendered, camera only rotates in test-env.py

    I am using the provided Dockerfile and running test-env.py on house 0a0b9b45a1db29832dd84e80c1347854

    1. Why aren't the walls/floors being rendered properly, but everything else is? screenshot from 2018-11-05 18-31-33

    2. I am running test-env.py and the camera rotates when I press h or l but doesn't move when I use wasd.

    opened by mfe7 5
  • Error while running test-rendering.py

    Error while running test-rendering.py

    I get an error when I try to run the python tests: python test-rendering.py house.obj

    [EGL] Detected 2 devices. Using device 0
    error: ERROR::FRAMEBUFFER: Framebuffer is not complete!
    

    I read the common issues, I am not running any other renderer.

    I am running House3D inside a docker.

    opened by devendrachaplot 5
  • Even faster approximate initialization

    Even faster approximate initialization

    This depends on the other diff, but I tested this with a sample of the SUNCG dataset and it seems to produce okay results. This just uses cv2 morphological operations and numpy to do some more approximate move map computation instead of trying to do fine-grained collision checking using pure python

    opened by mr-lubo 5
  • ImportError: dynamic module does not define module export function (PyInit_objrender)

    ImportError: dynamic module does not define module export function (PyInit_objrender)

    Hello, I have been building the renderer as instructed in House3D/renderer/README.md. When I tried checking whether the renderer works successfully by running python test-rendering.py (The corresponding house.obj file has already been created), I get the following results.

    [email protected]:~/House3D/tests$ export PYTHONPATH=..
    [email protected]:~/House3D/tests$ python test-rendering.py /home/kbkim/suncg_data/house/00065ecbdd7300d35ef4328ffe871505/house.obj
    Traceback (most recent call last):
      File "test-rendering.py", line 12, in <module>
        from House3D import objrender, create_default_config
      File "/home/kbkim/House3D/House3D/__init__.py", line 6, in <module>
        from .core import Environment, MultiHouseEnv
      File "/home/kbkim/House3D/House3D/core.py", line 17, in <module>
        from .objrender import RenderMode
    ImportError: dynamic module does not define module export function (PyInit_objrender)
    Error in sys.excepthook:
    Traceback (most recent call last):
      File "/usr/lib/python3/dist-packages/apport_python_hook.py", line 63, in apport_excepthook
        from apport.fileutils import likely_packaged, get_recent_crashes
      File "/usr/lib/python3/dist-packages/apport/__init__.py", line 5, in <module>
        from apport.report import Report
      File "/usr/lib/python3/dist-packages/apport/report.py", line 30, in <module>
        import apport.fileutils
      File "/usr/lib/python3/dist-packages/apport/fileutils.py", line 23, in <module>
        from apport.packaging_impl import impl as packaging
      File "/usr/lib/python3/dist-packages/apport/packaging_impl.py", line 23, in <module>
        import apt
      File "/usr/lib/python3/dist-packages/apt/__init__.py", line 23, in <module>
        import apt_pkg
    ModuleNotFoundError: No module named 'apt_pkg'
    
    Original exception was:
    Traceback (most recent call last):
      File "test-rendering.py", line 12, in <module>
        from House3D import objrender, create_default_config
      File "/home/kbkim/House3D/House3D/__init__.py", line 6, in <module>
        from .core import Environment, MultiHouseEnv
      File "/home/kbkim/House3D/House3D/core.py", line 17, in <module>
        from .objrender import RenderMode
    ImportError: dynamic module does not define module export function (PyInit_objrender)
    

    As for the missing module 'apt_pkg', I have not found any other solution than apt-get install python-apt (as described here), which has not changed my error message either.

    I have Python 3.6.7, and cv2.__version__ gives '4.0.0'.

    The OS, NVidia driver versions are as follows.

    [email protected]:~$ lsb_release -a
    No LSB modules are available.
    Distributor ID: Ubuntu
    Description:    Ubuntu 16.04.5 LTS
    Release:        16.04
    Codename:       xenial
    [email protected]:~/House3D/tests$ nvidia-smi
    Mon Jan 14 16:57:03 2019
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 384.130                Driver Version: 384.130                   |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |===============================+======================+======================|
    |   0  TITAN V             On   | 00000000:18:00.0 Off |                  N/A |
    | 36%   51C    P8    33W / 250W |      0MiB / 12058MiB |      0%      Default |
    +-------------------------------+----------------------+----------------------+
    |   1  TITAN V             On   | 00000000:3B:00.0 Off |                  N/A |
    | 40%   57C    P8    36W / 250W |      0MiB / 12058MiB |      0%      Default |
    +-------------------------------+----------------------+----------------------+
    |   2  TITAN V             On   | 00000000:86:00.0 Off |                  N/A |
    | 38%   54C    P8    29W / 250W |      0MiB / 12058MiB |      0%      Default |
    +-------------------------------+----------------------+----------------------+
    |   3  TITAN V             On   | 00000000:AF:00.0 Off |                  N/A |
    | 41%   58C    P8    33W / 250W |      0MiB / 12058MiB |      0%      Default |
    +-------------------------------+----------------------+----------------------+
    
    +-----------------------------------------------------------------------------+
    | Processes:                                                       GPU Memory |
    |  GPU       PID   Type   Process name                             Usage      |
    |=============================================================================|
    |  No running processes found                                                 |
    +-----------------------------------------------------------------------------+
    

    Running debug-build.sh gives the following output.

    [email protected]:~/House3D/renderer$ ./debug-build.sh
    PATH:
    /home/kbkim/bin:/home/kbkim/.local/bin:/usr/local/cuda-9.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
    
    CPATH:
    
    
    PKG_CONFIG_PATH:
    
    
    LIBRARY_PATH:
    
    
    LD_LIBRARY_PATH:
    /usr/local/cuda-9.0/lib64:
    
    PYTHONPATH:
    ..
    
    ldconfig:
            libEGL_nvidia.so.0 (libc6,x86-64) => /usr/lib/nvidia-384/libEGL_nvidia.so.0
            libEGL_nvidia.so.0 (libc6) => /usr/lib32/nvidia-384/libEGL_nvidia.so.0
            libEGL.so.1 (libc6,x86-64) => /usr/lib/nvidia-384/libEGL.so.1
            libEGL.so.1 (libc6) => /usr/lib32/nvidia-384/libEGL.so.1
            libEGL.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL.so
            libEGL.so (libc6,x86-64) => /usr/lib/nvidia-384/libEGL.so
            libEGL.so (libc6) => /usr/lib32/nvidia-384/libEGL.so
    + pkg-config --cflags --libs glfw3
    -I/usr/include/libdrm -lglfw
    + '[' '!' '' ']'
    + pkg-config --cflags --libs libglvnd
    -I/usr/local/include
    + pkg-config --cflags --libs egl
    -I/usr/include/libdrm -lEGL
    + which find
    /usr/bin/find
    + which pkg-config
    /usr/bin/pkg-config
    + which python-config
    /usr/bin/python-config
    + python-config --includes --ldflags
    -I/usr/include/python2.7 -I/usr/include/x86_64-linux-gnu/python2.7
    -L/usr/lib/python2.7/config-x86_64-linux-gnu -L/usr/lib -lpython2.7 -lpthread -ldl  -lutil -lm  -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions
    + '[' ']'
    + g++ --version
    g++ (Ubuntu 5.4.0-6ubuntu1~16.04.11) 5.4.0 20160609
    Copyright (C) 2015 Free Software Foundation, Inc.
    This is free software; see the source for copying conditions.  There is NO
    warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
    
    + '[' -f ../House3D/objrender.so ']'
    + ldd ../House3D/objrender.so
            linux-vdso.so.1 =>  (0x00007ffc1d558000)
            libGL.so.1 => /usr/local/lib/libGL.so.1 (0x00007fa83a6ec000)
            libEGL.so.1 => /usr/lib/nvidia-384/libEGL.so.1 (0x00007fa83a4e7000)
            libX11.so.6 => /usr/lib/x86_64-linux-gnu/libX11.so.6 (0x00007fa83a1ad000)
            libpng12.so.0 => /lib/x86_64-linux-gnu/libpng12.so.0 (0x00007fa839f87000)
            libglfw.so.3 => /usr/lib/x86_64-linux-gnu/libglfw.so.3 (0x00007fa839d71000)
            libjpeg.so.8 => /usr/lib/x86_64-linux-gnu/libjpeg.so.8 (0x00007fa839b18000)
            libpython2.7.so.1.0 => /usr/lib/x86_64-linux-gnu/libpython2.7.so.1.0 (0x00007fa839589000)
            libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007fa83936c000)
            libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007fa838fea000)
            libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007fa838ce0000)
            libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007fa838aca000)
            libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007fa838700000)
            /lib64/ld-linux-x86-64.so.2 (0x000056458ad58000)
            libGLX.so.0 => /usr/local/lib/libGLX.so.0 (0x00007fa8384c3000)
            libGLdispatch.so.0 => /usr/local/lib/libGLdispatch.so.0 (0x00007fa838208000)
            libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007fa838004000)
            libxcb.so.1 => /usr/lib/x86_64-linux-gnu/libxcb.so.1 (0x00007fa837de1000)
            libz.so.1 => /lib/x86_64-linux-gnu/libz.so.1 (0x00007fa837bc7000)
            librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007fa8379bf000)
            libXrandr.so.2 => /usr/lib/x86_64-linux-gnu/libXrandr.so.2 (0x00007fa8377b3000)
            libXinerama.so.1 => /usr/lib/x86_64-linux-gnu/libXinerama.so.1 (0x00007fa8375b0000)
            libXi.so.6 => /usr/lib/x86_64-linux-gnu/libXi.so.6 (0x00007fa8373a0000)
            libXxf86vm.so.1 => /usr/lib/x86_64-linux-gnu/libXxf86vm.so.1 (0x00007fa837199000)
            libXcursor.so.1 => /usr/lib/x86_64-linux-gnu/libXcursor.so.1 (0x00007fa836f8f000)
            libutil.so.1 => /lib/x86_64-linux-gnu/libutil.so.1 (0x00007fa836d8c000)
            libXau.so.6 => /usr/lib/x86_64-linux-gnu/libXau.so.6 (0x00007fa836b87000)
            libXdmcp.so.6 => /usr/lib/x86_64-linux-gnu/libXdmcp.so.6 (0x00007fa836981000)
            libXext.so.6 => /usr/lib/x86_64-linux-gnu/libXext.so.6 (0x00007fa83676e000)
            libXrender.so.1 => /usr/lib/x86_64-linux-gnu/libXrender.so.1 (0x00007fa836564000)
            libXfixes.so.3 => /usr/lib/x86_64-linux-gnu/libXfixes.so.3 (0x00007fa83635e000)
    

    Thank you in advance.

    opened by lionminhu 4
  • Error: cannot reslove

    Error: cannot reslove "Assertion "glGetString(GL_VERSION)" FAILED" after trying all possible issue

    1. ubuntu 16.04 with nvidia 1080Ti, 396.44
    sudo apt install libglfw3-dev libglm-dev libx11-dev libegl1-mesa-dev libpng-dev libjpeg-dev
    cd
    git clone https://github.com/NVIDIA/libglvnd && cd libglvnd
    ./autogen.sh && ./configure --disable-egl
    make -j && sudo make install -j
    
    PATH:
    /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jiayi/.local/bin
    
    CPATH:
    
    
    PKG_CONFIG_PATH:
    
    
    LIBRARY_PATH:
    
    
    LD_LIBRARY_PATH:
    
    
    PYTHONPATH:
    
    
    + pkg-config --cflags --libs glfw3
    -I/usr/include/libdrm -lglfw
    + '[' '!' '' ']'
    + pkg-config --cflags --libs libglvnd
    -I/usr/local/include
    + pkg-config --cflags --libs egl
    -I/usr/include/libdrm -lEGL
    + which find
    /usr/bin/find
    + which pkg-config
    /usr/bin/pkg-config
    + which python-config
    /usr/bin/python-config
    + python-config --includes --ldflags
    -I/usr/include/python2.7 -I/usr/include/x86_64-linux-gnu/python2.7
    -L/usr/lib/python2.7/config-x86_64-linux-gnu -L/usr/lib -lpython2.7 -lpthread -ldl  -lutil -lm  -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions
    + '[' ']'
    + g++ --version
    g++ (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609
    Copyright (C) 2015 Free Software Foundation, Inc.
    This is free software; see the source for copying conditions.  There is NO
    warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
    
    + '[' -f ../House3D/objrender.so ']'
    + ldd ../House3D/objrender.so
    	linux-vdso.so.1 =>  (0x00007ffea73cc000)
    	libGL.so.1 => /usr/lib/nvidia-396/libGL.so.1 (0x00007fc093a5e000)
    	libEGL.so.1 => /usr/lib/nvidia-396/libEGL.so.1 (0x00007fc093858000)
    	libX11.so.6 => /usr/lib/x86_64-linux-gnu/libX11.so.6 (0x00007fc09351e000)
    	libpng12.so.0 => /lib/x86_64-linux-gnu/libpng12.so.0 (0x00007fc0932f8000)
    	libglfw.so.3 => /usr/lib/x86_64-linux-gnu/libglfw.so.3 (0x00007fc0930e2000)
    	libjpeg.so.8 => /usr/lib/x86_64-linux-gnu/libjpeg.so.8 (0x00007fc092e89000)
    	libpython2.7.so.1.0 => /usr/lib/x86_64-linux-gnu/libpython2.7.so.1.0 (0x00007fc0928fa000)
    	libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007fc0926dd000)
    	libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007fc09235b000)
    	libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007fc092051000)
    	libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007fc091e3b000)
    	libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007fc091a71000)
    	/lib64/ld-linux-x86-64.so.2 (0x000055d4ef045000)
    	libnvidia-tls.so.396.44 => /usr/lib/nvidia-396/tls/libnvidia-tls.so.396.44 (0x00007fc09186c000)
    	libnvidia-glcore.so.396.44 => /usr/lib/nvidia-396/libnvidia-glcore.so.396.44 (0x00007fc08fb9d000)
    	libXext.so.6 => /usr/lib/x86_64-linux-gnu/libXext.so.6 (0x00007fc08f98b000)
    	libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007fc08f786000)
    	libGLdispatch.so.0 => /usr/lib/nvidia-396/libGLdispatch.so.0 (0x00007fc08f4b8000)
    	libxcb.so.1 => /usr/lib/x86_64-linux-gnu/libxcb.so.1 (0x00007fc08f296000)
    	libz.so.1 => /lib/x86_64-linux-gnu/libz.so.1 (0x00007fc08f07b000)
    	librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007fc08ee73000)
    	libXrandr.so.2 => /usr/lib/x86_64-linux-gnu/libXrandr.so.2 (0x00007fc08ec68000)
    	libXinerama.so.1 => /usr/lib/x86_64-linux-gnu/libXinerama.so.1 (0x00007fc08ea64000)
    	libXi.so.6 => /usr/lib/x86_64-linux-gnu/libXi.so.6 (0x00007fc08e854000)
    	libXxf86vm.so.1 => /usr/lib/x86_64-linux-gnu/libXxf86vm.so.1 (0x00007fc08e64e000)
    	libXcursor.so.1 => /usr/lib/x86_64-linux-gnu/libXcursor.so.1 (0x00007fc08e443000)
    	libutil.so.1 => /lib/x86_64-linux-gnu/libutil.so.1 (0x00007fc08e240000)
    	libXau.so.6 => /usr/lib/x86_64-linux-gnu/libXau.so.6 (0x00007fc08e03b000)
    	libXdmcp.so.6 => /usr/lib/x86_64-linux-gnu/libXdmcp.so.6 (0x00007fc08de35000)
    	libXrender.so.1 => /usr/lib/x86_64-linux-gnu/libXrender.so.1 (0x00007fc08dc2b000)
    	libXfixes.so.3 => /usr/lib/x86_64-linux-gnu/libXfixes.so.3 (0x00007fc08da24000)
    
    1. after typing command unset DISPLAY
    ➜  renderer git:(master) unset DISPLAY
    ➜  renderer git:(master) ./test-rectangle.bin egl     
    [EGL] Detected 8 devices. Using device 0
    assertion "glGetString(GL_VERSION)" failed, in printInfo, (gl/glContext.cc:92)
    [1]    52092 abort (core dumped)  ./test-rectangle.bin egl
    ➜  renderer git:(master) ./test-rectangle.bin headless
    error: Cannot connect to DISPLAY!
    ➜  renderer git:(master) 
    

    More info:

    ➜  renderer git:(master) ./objview-offline.bin /data/.share/suncg/house/bd4d249bb93e43e023f7fa2ff30fa0b1/house.obj
    [EGL] Detected 8 devices. Using device 0
    assertion "glGetString(GL_VERSION)" failed, in printInfo, (gl/glContext.cc:92)
    [1]    52610 abort (core dumped)  ./objview-offline.bin 
    

    and use ssh -X command:

    ➜  ~ glxinfo
    name of display: localhost:11.0
    X Error of failed request:  BadValue (integer parameter out of range for operation)
      Major opcode of failed request:  155 (GLX)
      Minor opcode of failed request:  24 (X_GLXCreateNewContext)
      Value in failed request:  0x0
      Serial number of failed request:  35
      Current serial number in output stream:  36
    

    I also try to install virtualGL as one issue suggested, however it seems unsuccessful in my machine. I'm so confused that I only type the command listed in README.md but failed to build. I have reinstalled all the dependency but no promising things happened. Any help?

    opened by Trinkle23897 4
  • error while running Dockerfile

    error while running Dockerfile

    hi, I've just run the Dockerfile in ubuntu 14.04 system with nvida gpu, and got following error in the terminal:

    [dep]test-rectangle.cpp ... Packge gl was not found in the pkg-config serach path. Perhaps you should add the directory containing 'gl.pc' to the PKG_CONFIG_PATH environment variable No package 'gl' found Packge egl was not found in the pkg-config serach path. Perhaps you should add the directory containing 'egl.pc' to the PKG_CONFIG_PATH environment variable No package 'x11' found Packge x11 was not found in the pkg-config serach path. Perhaps you should add the directory containing 'x11.pc' to the PKG_CONFIG_PATH environment variable No package 'x11' found [dep]objvie-offline.cpp ... Packge gl was not found in the pkg-config serach path. Perhaps you should add the directory containing 'gl.pc' to the PKG_CONFIG_PATH environment variable No package 'gl' found Packge egl was not found in the pkg-config serach path. Perhaps you should add the directory containing 'egl.pc' to the PKG_CONFIG_PATH environment variable No package 'x11' found Packge x11 was not found in the pkg-config serach path. Perhaps you should add the directory containing 'x11.pc' to the PKG_CONFIG_PATH environment variable No package 'x11' found ...

    I already installed opencv and related libraries, and the 'gl.pc', 'egl.pc', 'x11.pc' these files have been copied to the pkg-config serach path. Still it reports these error. Thanks in advance

    opened by wwwqqqqq 4
  • Target $I$ for the Gated-LSTM baseline

    Target $I$ for the Gated-LSTM baseline

    Hello, I have been trying to implement the Gated-LSTM baseline according to the descriptions in the RoomNav paper (link), but I am confused with the some of the notations.

    From Section 5.2.2 (for Gated-LSTM): image

    The symbol $I$ is used to denote the target instruction. This same symbol was used in Section 5.1.2 (for Gated-CNN) to denote the target instruction prior to conversion to an embedding vector $y$: image

    So if we were to follow the same notation as in Section 5.1.2, we would have to feed the one-hot vector $I$ (and not the embedding vector) as input to the gated fusion module and the LSTM for the Gated-LSTM.

    However, the Figure 2 seems to imply that it is in fact the embedding vector that is fed into the gated fusion and the LSTM: image

    Could you clarify whether the target $I$ for Gated-LSTM baseline is meant to be the one-hot vector or the embedding vector?

    Thank you in advance.

    opened by lionminhu 4
  • meet error: ERROR::FRAMEBUFFER: Framebuffer is not complete! ErrorCode=36061 when execute test-rendering.py

    meet error: ERROR::FRAMEBUFFER: Framebuffer is not complete! ErrorCode=36061 when execute test-rendering.py

    when I execute test-rendering.py, I meet error:error: ERROR::FRAMEBUFFER: Framebuffer is not complete! ErrorCode=36061 1.Nvidia GTX 1080Ti,Ubuntu16.04; 2.I build by docker; 3.When I execute cd /House3D/tests && python3 test-rendering.py $TEST_HOUSE --interactive,Error occur:ERROR::FRAMEBUFFER: Framebuffer is not complete! ErrorCode=36061; And i find error occur when it execute "api = objrender.RenderAPI(w=600, h=450, device=0)"(ln13) 4.after i execute debug-build.sh,result: PATH: /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

    CPATH:

    PKG_CONFIG_PATH:

    LIBRARY_PATH:

    LD_LIBRARY_PATH: /usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64

    PYTHONPATH:

    DISPLAY: :0

    ldconfig: libEGL_nvidia.so.0 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL_nvidia.so.0 libEGL_nvidia.so.0 (libc6) => /usr/lib/i386-linux-gnu/libEGL_nvidia.so.0 libEGL_mesa.so.0 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL_mesa.so.0 libEGL_mesa.so.0 (libc6) => /usr/lib/i386-linux-gnu/libEGL_mesa.so.0 libEGL.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL.so.1 libEGL.so.1 (libc6) => /usr/lib/i386-linux-gnu/libEGL.so.1 libEGL.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libEGL.so libEGL.so (libc6) => /usr/lib/i386-linux-gnu/libEGL.so

    • pkg-config --cflags --libs glfw3 -lglfw

    • '[' '!' '' ']'

    • pkg-config --cflags --libs libglvnd

    • pkg-config --cflags --libs egl -I/usr/include/libdrm -lEGL

    • which find /usr/bin/find

    • which pkg-config /usr/bin/pkg-config

    • which python3-config /usr/bin/python3-config

    • python3-config --includes --ldflags -I/usr/include/python3.6m -I/usr/include/python3.6m -L/usr/lib/python3.6/config-3.6m-x86_64-linux-gnu -L/usr/lib -lpython3.6m -lpthread -ldl -lutil -lm -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions

    • '[' ']'

    • g++ --version g++ (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0 Copyright (C) 2017 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

    • '[' -f ../House3D/objrender.so ']'

    • ldd ../House3D/objrender.so linux-vdso.so.1 (0x00007ffc6c9dd000) libGL.so.1 => /usr/lib/x86_64-linux-gnu/libGL.so.1 (0x00007f852d3f4000) libEGL.so.1 => /usr/lib/x86_64-linux-gnu/libEGL.so.1 (0x00007f852d1e0000) libX11.so.6 => /usr/lib/x86_64-linux-gnu/libX11.so.6 (0x00007f852cea8000) libpng16.so.16 => /usr/lib/x86_64-linux-gnu/libpng16.so.16 (0x00007f852cc76000) libglfw.so.3 => /usr/lib/x86_64-linux-gnu/libglfw.so.3 (0x00007f852ca59000) libjpeg.so.8 => /usr/lib/x86_64-linux-gnu/libjpeg.so.8 (0x00007f852c7f1000) libpython3.6m.so.1.0 => /usr/lib/x86_64-linux-gnu/libpython3.6m.so.1.0 (0x00007f852c13f000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f852bf20000) libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007f852bb97000) libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f852b7f9000) libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007f852b5e1000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f852b1f0000) /lib64/ld-linux-x86-64.so.2 (0x00007f852d984000) libGLX.so.0 => /usr/lib/x86_64-linux-gnu/libGLX.so.0 (0x00007f852afbf000) libGLdispatch.so.0 => /usr/lib/x86_64-linux-gnu/libGLdispatch.so.0 (0x00007f852ad09000) libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f852ab05000) libxcb.so.1 => /usr/lib/x86_64-linux-gnu/libxcb.so.1 (0x00007f852a8dd000) libz.so.1 => /lib/x86_64-linux-gnu/libz.so.1 (0x00007f852a6c0000) librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f852a4b8000) libXrandr.so.2 => /usr/lib/x86_64-linux-gnu/libXrandr.so.2 (0x00007f852a2ad000) libXinerama.so.1 => /usr/lib/x86_64-linux-gnu/libXinerama.so.1 (0x00007f852a0aa000) libXxf86vm.so.1 => /usr/lib/x86_64-linux-gnu/libXxf86vm.so.1 (0x00007f8529ea4000) libXcursor.so.1 => /usr/lib/x86_64-linux-gnu/libXcursor.so.1 (0x00007f8529c9a000) libexpat.so.1 => /lib/x86_64-linux-gnu/libexpat.so.1 (0x00007f8529a68000) libutil.so.1 => /lib/x86_64-linux-gnu/libutil.so.1 (0x00007f8529865000) libXau.so.6 => /usr/lib/x86_64-linux-gnu/libXau.so.6 (0x00007f8529661000) libXdmcp.so.6 => /usr/lib/x86_64-linux-gnu/libXdmcp.so.6 (0x00007f852945b000) libXext.so.6 => /usr/lib/x86_64-linux-gnu/libXext.so.6 (0x00007f8529249000) libXrender.so.1 => /usr/lib/x86_64-linux-gnu/libXrender.so.1 (0x00007f852903f000) libXfixes.so.3 => /usr/lib/x86_64-linux-gnu/libXfixes.so.3 (0x00007f8528e39000) libbsd.so.0 => /lib/x86_64-linux-gnu/libbsd.so.0 (0x00007f8528c24000)

    opened by gitwld 6
  • The SUNCG dataset is not available now

    The SUNCG dataset is not available now

    As discussed in:

    • https://github.com/minosworld/minos/issues/159
    • https://github.com/shurans/SUNCGtoolbox/issues/32
    • https://github.com/HoME-Platform/home-platform/issues/30

    All links are dead for the dataset.

    opened by hzxie 7
  • Cache houses

    Cache houses

    Hi, How can we go about caching houses? I see there is a reference to a script named cache_houses.py, but I don't see it in the repo. It will be very helpful because currently the MultiHouseEnv takes forever to load with more than 5 houses or so.

    Best, Amanjit

    opened by amanjitsk 0
  • How to get and set the fx and fy of the camera from the test-rendering?

    How to get and set the fx and fy of the camera from the test-rendering?

    Is there any way to get or set the parameter of the camera in test-rendering (python file). And the which kind of device in parser.add_argument('--device', type=int, default=0) can be set?

    opened by jiajialu1995 2
  • Step on multiple environment in parallel

    Step on multiple environment in parallel

    Hi, thanks for open sourcing this code.

    I am wondering whether we can load multiple environments and then step on them in parallel? It will be extremely useful to accelerate the data loading process.

    thanks!

    opened by jwyang 8
Owner
Meta Research
Meta Research
Code for "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection", ICRA 2021

FGR This repository contains the python implementation for paper "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection"(I

Yi Wei 31 Dec 08, 2022
Gans-in-action - Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

GANs in Action by Jakub Langr and Vladimir Bok List of available code: Chapter 2: Colab, Notebook Chapter 3: Notebook Chapter 4: Notebook Chapter 6: C

GANs in Action 914 Dec 21, 2022
Towards Multi-Camera 3D Human Pose Estimation in Wild Environment

PanopticStudio Toolbox This repository has a toolbox to download, process, and visualize the Panoptic Studio (Panoptic) data. Note: Sep-21-2020: Curre

335 Jan 09, 2023
Disentangled Cycle Consistency for Highly-realistic Virtual Try-On, CVPR 2021

Disentangled Cycle Consistency for Highly-realistic Virtual Try-On, CVPR 2021 [WIP] The code for CVPR 2021 paper 'Disentangled Cycle Consistency for H

ChongjianGE 94 Dec 11, 2022
Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.

CasRel-pytorch-reimplement Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The o

longlongman 170 Dec 01, 2022
Graph neural network message passing reframed as a Transformer with local attention

Adjacent Attention Network An implementation of a simple transformer that is equivalent to graph neural network where the message passing is done with

Phil Wang 49 Dec 28, 2022
A vanilla 3D face modeling on pose-invariant and multi-lightning image data

3D-Face-Modeling A vanilla 3D face modeling on pose-invariant and multi-lightning image data Table of Contents Background Install Usage Contributing B

Haochen Zhang 1 Mar 12, 2022
Code for the paper “The Peril of Popular Deep Learning Uncertainty Estimation Methods”

Uncertainty Estimation Methods Code for the paper “The Peril of Popular Deep Learning Uncertainty Estimation Methods” Reference If you use this code,

EPFL Machine Learning and Optimization Laboratory 4 Apr 05, 2022
Single-Stage Instance Shadow Detection with Bidirectional Relation Learning (CVPR 2021 Oral)

Single-Stage Instance Shadow Detection with Bidirectional Relation Learning (CVPR 2021 Oral) Tianyu Wang*, Xiaowei Hu*, Chi-Wing Fu, and Pheng-Ann Hen

Steve Wong 51 Oct 20, 2022
RANZCR-CLiP 7th Place Solution

RANZCR-CLiP 7th Place Solution This repository is WIP. (18 Mar 2021) Installation git clone https://github.com/analokmaus/kaggle-ranzcr-clip-public.gi

Hiroshechka Y 21 Oct 22, 2022
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's algorithm.

Bayes-Newton Bayes-Newton is a library for approximate inference in Gaussian processes (GPs) in JAX (with objax), built and actively maintained by Wil

AaltoML 165 Nov 27, 2022
Dynamic Realtime Animation Control

Our project is targeted at making an application that dynamically detects the user’s expressions and gestures and projects it onto an animation software which then renders a 2D/3D animation realtime

Harsh Avinash 10 Aug 01, 2022
YOLOPのPythonでのONNX推論サンプル

YOLOP-ONNX-Video-Inference-Sample YOLOPのPythonでのONNX推論サンプルです。 ONNXモデルは、hustvl/YOLOP/weights を使用しています。 Requirement OpenCV 3.4.2 or later onnxruntime 1.

KazuhitoTakahashi 8 Sep 05, 2022
code release for USENIX'22 paper `On the Security Risks of AutoML`

This project is a minimized runnable project cut from trojanzoo, which contains more datasets, models, attacks and defenses. This repo will not be mai

Ren Pang 5 Apr 19, 2022
Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"

This repository is the code for NeurIPS 2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints". Edit 2021/

10 Dec 20, 2022
Hand tracking demo for DIY Smart Glasses with a remote computer doing the work

CameraStream This is a demonstration that streams the image from smartglasses to a pc, does the hand recognition on the remote pc and streams the proc

Teemu Laurila 20 Oct 13, 2022
Current state of supervised and unsupervised depth completion methods

Awesome Depth Completion Table of Contents About Sparse-to-Dense Depth Completion Current State of Depth Completion Unsupervised VOID Benchmark Superv

224 Dec 28, 2022
To build a regression model to predict the concrete compressive strength based on the different features in the training data.

Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features

Ashish Kumar 4 Jun 11, 2022
Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains (ICLR'2022) This is the Pytorch code for our paper Beyond ImageNet

Alibaba-AAIG 37 Nov 23, 2022
Official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.

AimCLR This is an official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Reco

Gty 44 Dec 17, 2022