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
GitHub Repository
Spatially-Adaptive Pixelwise Networks for Fast Image Translation, CVPR 2021

Image Translation with ASAPNets Spatially-Adaptive Pixelwise Networks for Fast Image Translation, CVPR 2021 Webpage | Paper | Video Installation insta

Tamar Rott Shaham 100 Dec 28, 2022
Semantic Image Synthesis with SPADE

Semantic Image Synthesis with SPADE New implementation available at imaginaire repository We have a reimplementation of the SPADE method that is more

NVIDIA Research Projects 7.3k Jan 07, 2023
Road Crack Detection Using Deep Learning Methods

Road-Crack-Detection-Using-Deep-Learning-Methods This is my Diploma Thesis ¨Road Crack Detection Using Deep Learning Methods¨ under the supervision of

Aggelos Katsaliros 3 May 03, 2022
Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications

Labelbox Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you s

labelbox 1.7k Dec 29, 2022
Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification"

hypergraph_reid Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification" If you find this help your research,

62 Dec 21, 2022
FAMIE is a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction (IE)

FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction

18 Sep 01, 2022
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations

Transfer-Learning-in-Reinforcement-Learning Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations Final Report Tra

Trung Hieu Tran 4 Oct 17, 2022
This project intends to use SVM supervised learning to determine whether or not an individual is diabetic given certain attributes.

Diabetes Prediction Using SVM I explore a diabetes prediction algorithm using a Diabetes dataset. Using a Support Vector Machine for my prediction alg

Jeff Shen 1 Jan 14, 2022
A generalist algorithm for cell and nucleus segmentation.

Cellpose | A generalist algorithm for cell and nucleus segmentation. Cellpose was written by Carsen Stringer and Marius Pachitariu. To learn about Cel

MouseLand 733 Dec 29, 2022
Springer Link Download Module for Python

♞ pupalink A simple Python module to search and download books from SpringerLink. 🧪 This project is still in an early stage of development. Expect br

Pupa Corp. 18 Nov 21, 2022
Official code for our ICCV paper: "From Continuity to Editability: Inverting GANs with Consecutive Images"

GANInversion_with_ConsecutiveImgs Official code for our ICCV paper: "From Continuity to Editability: Inverting GANs with Consecutive Images" https://a

QingyangXu 38 Dec 07, 2022
PyElastica is the Python implementation of Elastica, an open-source software for the simulation of assemblies of slender, one-dimensional structures using Cosserat Rod theory.

PyElastica PyElastica is the python implementation of Elastica: an open-source project for simulating assemblies of slender, one-dimensional structure

Gazzola Lab 105 Jan 09, 2023
Code release for ICCV 2021 paper "Anticipative Video Transformer"

Anticipative Video Transformer Ranked first in the Action Anticipation task of the CVPR 2021 EPIC-Kitchens Challenge! (entry: AVT-FB-UT) [project page

Facebook Research 123 Dec 13, 2022
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking

One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking This is an official implementation for NEAS presented in CVPR

Multimedia Research 19 Sep 08, 2022
Aydin is a user-friendly, feature-rich, and fast image denoising tool

Aydin is a user-friendly, feature-rich, and fast image denoising tool that provides a number of self-supervised, auto-tuned, and unsupervised image denoising algorithms.

Royer Lab 99 Dec 14, 2022
Official PaddlePaddle implementation of Paint Transformer

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction [Paper] [Paddle Implementation] Update We have optimized the serial inference p

TianweiLin 284 Dec 31, 2022
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank

This repository provides the official code for replicating experiments from the paper: Semi-Supervised Semantic Segmentation with Pixel-Level Contrast

Iñigo Alonso Ruiz 58 Dec 15, 2022
PaddleBoBo是基于PaddlePaddle和PaddleSpeech、PaddleGAN等开发套件的虚拟主播快速生成项目

PaddleBoBo - 元宇宙时代，你也可以动手做一个虚拟主播。 PaddleBoBo是基于飞桨PaddlePaddle深度学习框架和PaddleSpeech、PaddleGAN等开发套件的虚拟主播快速生成项目。PaddleBoBo致力于简单高效、可复用性强，只需要一张带人像的图片和一段文字，就能

502 Jan 08, 2023
Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)

DPFM Code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral) Installation This implementation runs on python = 3.7, use pip to install depend

Souhaib Attaiki 29 Oct 03, 2022
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

Sampyl May 29, 2018: version 0.3 Sampyl is a package for sampling from probability distributions using MCMC methods. Similar to PyMC3 using theano to

Mat Leonard 304 Dec 25, 2022