House3D: A Rich and Realistic 3D Environment

Last update: Dec 14, 2022

Related tags

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

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

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

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 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

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

Why aren't the walls/floors being rendered properly, but everything else is?

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
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

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)

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 "Assertion "glGetString(GL_VERSION)" FAILED" after trying all possible issue

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)

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

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

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):

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 $y$ :

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:

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
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
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

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？

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

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

Releases(v0.9)

v0.9(Jan 15, 2018)

Source code(tar.gz)
Source code(zip)
all_houses.json(9.52 KB)

Owner

Meta Research

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Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

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111 Dec 06, 2022

DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs

DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Abstract: Image-to-image translation has recently achieved re

23 Apr 14, 2022

In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Fastapi + MLflow + streamlit Setup env. I hope I covered all. pip install -r requirements.txt Start app Go in the root dir and run these Streamlit str

76 Nov 23, 2022

This project is a re-implementation of MASTER: Multi-Aspect Non-local Network for Scene Text Recognition by MMOCR

This project is a re-implementation of MASTER: Multi-Aspect Non-local Network for Scene Text Recognition by MMOCR，which is an open-source toolbox based on PyTorch. The overall architecture will be sh

82 Nov 17, 2022

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

14.5k Jan 08, 2023

Türkiye Canlı Mobese Görüntülerinde Profesyonel Nesne Takip Sistemi

Türkiye Mobese Görüntü Takip Türkiye Mobese görüntülerinde OPENCV ve Yolo ile takip sistemi Multiple Object Tracking System in Turkish Mobese with OPE

15 Dec 22, 2022

An Efficient Training Approach for Very Large Scale Face Recognition or F²C for simplicity.

Fast Face Classification (F²C) This is the code of our paper An Efficient Training Approach for Very Large Scale Face Recognition or F²C for simplicit

33 Jun 27, 2021

SNIPS: Solving Noisy Inverse Problems Stochastically

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35 Nov 09, 2022

pytorch implementation of openpose including Hand and Body Pose Estimation.

pytorch-openpose pytorch implementation of openpose including Body and Hand Pose Estimation, and the pytorch model is directly converted from openpose

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Large-scale Hyperspectral Image Clustering Using Contrastive Learning, CIKM 21 Workshop

Spectral-spatial contrastive clustering (SSCC) Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, and Xiaobo Liu, Large-scale Hyperspectral Image Clusteri

4 Nov 02, 2022

A full-fledged version of Pix2Seq

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205 Dec 27, 2022

Bottom-up Human Pose Estimation

Introduction This is the official code of Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation. This paper has been accepted to CVPR2

108 Dec 01, 2022

Minimal But Practical Image Classifier Pipline Using Pytorch, Finetune on ResNet18, Got 99% Accuracy on Own Small Datasets.

PyTorch Image Classifier Updates As for many users request, I released a new version of standared pytorch immage classification example at here: http:

106 Nov 06, 2022

House3D: A Rich and Realistic 3D Environment

Related tags

Overview

House3D: A Rich and Realistic 3D Environment

Yi Wu, Yuxin Wu, Georgia Gkioxari and Yuandong Tian

Existing Research Projects with House3D

A. RoomNav (paper)

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

Citation

License

Comments

Releases(v0.9)

v0.9(Jan 15, 2018)

Owner

Meta Research

Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions

Conditional Gradients For The Approximately Vanishing Ideal

System Design course at HSE (2021)

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs

In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

This project is a re-implementation of MASTER: Multi-Aspect Non-local Network for Scene Text Recognition by MMOCR

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Türkiye Canlı Mobese Görüntülerinde Profesyonel Nesne Takip Sistemi

An Efficient Training Approach for Very Large Scale Face Recognition or F²C for simplicity.

SNIPS: Solving Noisy Inverse Problems Stochastically

pytorch implementation of openpose including Hand and Body Pose Estimation.

Large-scale Hyperspectral Image Clustering Using Contrastive Learning, CIKM 21 Workshop

A full-fledged version of Pix2Seq

Bottom-up Human Pose Estimation

Minimal But Practical Image Classifier Pipline Using Pytorch, Finetune on ResNet18, Got 99% Accuracy on Own Small Datasets.

DFM: A Performance Baseline for Deep Feature Matching

Binary classification for arrythmia detection with ECG datasets.

Source code for Task-Aware Variational Adversarial Active Learning

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"