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wenbowen123 / iros20-6d-pose-tracking

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
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building the dockerfile didn't work #74

Closed monajalal closed 6 months ago

monajalal commented 7 months ago

Could you please confirm if the dockerfile may work for building in Ubuntu 22.04?

(base) mona@ada:~/iros20-6d-pose-tracking/docker$ docker build -t posetrack .
[+] Building 205.4s (7/10)                                                                                                                                                                   docker:default
 => [internal] load build definition from dockerfile                                                                                                                                                   0.0s
 => => transferring dockerfile: 2.76kB                                                                                                                                                                 0.0s
 => [internal] load .dockerignore                                                                                                                                                                      0.0s
 => => transferring context: 2B                                                                                                                                                                        0.0s
 => [internal] load metadata for docker.io/nvidia/cudagl:11.3.0-devel-ubuntu16.04                                                                                                                      1.0s
 => [1/7] FROM docker.io/nvidia/cudagl:11.3.0-devel-ubuntu16.04@sha256:01ed8befe59f7d9c967ff84a4ced41af5dfecf5028d415579e5837a9ce7425b6                                                               43.8s
 => => resolve docker.io/nvidia/cudagl:11.3.0-devel-ubuntu16.04@sha256:01ed8befe59f7d9c967ff84a4ced41af5dfecf5028d415579e5837a9ce7425b6                                                                0.0s
 => => sha256:01ed8befe59f7d9c967ff84a4ced41af5dfecf5028d415579e5837a9ce7425b6 4.71kB / 4.71kB                                                                                                         0.0s
 => => sha256:fb15d46c38dcd1ea0b1990006c3366ecd10c79d374f341687eb2cb23a2c8672e 170B / 170B                                                                                                             0.2s
 => => sha256:99af895351a7df2761a976118ad5b6600bf64ebdd5190c87e36236783bd273cf 20.34kB / 20.34kB                                                                                                       0.0s
 => => sha256:b51569e7c50720acf6860327847fe342a1afbe148d24c529fb81df105e3eed01 857B / 857B                                                                                                             0.1s
 => => sha256:58690f9b18fca6469a14da4e212c96849469f9b1be6661d2342a4bf01774aa50 46.50MB / 46.50MB                                                                                                       0.8s
 => => sha256:da8ef40b9ecabc2679fe2419957220c0272a965c5cf7e0269fa1aeeb8c56f2e1 528B / 528B                                                                                                             0.1s
 => => sha256:df762380fec23daccc056c85c688be0a40f08ebca1c0f4bcfe593870c94221eb 6.84MB / 6.84MB                                                                                                         0.9s
 => => sha256:35e2da6314f0f15f4c56cbcc088671ac47fdadbfa49e0cffc7d4af4115bf8252 11.30MB / 11.30MB                                                                                                       1.5s
 => => sha256:b1876ed457134301a7df34a3ca2439dcfc33697041b82fb1f807a6581848f844 187B / 187B                                                                                                             1.1s
 => => extracting sha256:58690f9b18fca6469a14da4e212c96849469f9b1be6661d2342a4bf01774aa50                                                                                                              2.0s
 => => sha256:ef2c706bd6871a3583243de994a8002f078d188a65da183d78eca217488d1662 6.43kB / 6.43kB                                                                                                         1.2s
 => => sha256:8fdfcb70e9325ac4ed818c1ea97b53c196269a921715244a355ca8c4ab9c31ad 867.59MB / 867.59MB                                                                                                    21.2s
 => => sha256:fd49abd7a85d02440054713ad46677f045be713f83dd5df7ffe621125cd26b07 72.12kB / 72.12kB                                                                                                       1.5s
 => => sha256:5baeeb1047941986575874fbb938a4d489df9a9c4ca28080d032ad6fd1d13184 1.06GB / 1.06GB                                                                                                        24.2s
 => => sha256:f19e8bdcbaf67dc874fb1695ffcb6051b6593a61b5f8509797c7e9f20c729e76 95.54kB / 95.54kB                                                                                                       1.7s
 => => sha256:486d17129b8941ec0929501ef484ba2c6396a34145922c690014dace453cb0c7 6.52MB / 6.52MB                                                                                                         2.7s
 => => sha256:48f76cdc2d1191d0d835d8a868afc8ccf6c92940f5ddb7006af501ae79bdc91b 191B / 191B                                                                                                             3.2s
 => => extracting sha256:b51569e7c50720acf6860327847fe342a1afbe148d24c529fb81df105e3eed01                                                                                                              0.0s
 => => extracting sha256:da8ef40b9ecabc2679fe2419957220c0272a965c5cf7e0269fa1aeeb8c56f2e1                                                                                                              0.0s
 => => extracting sha256:fb15d46c38dcd1ea0b1990006c3366ecd10c79d374f341687eb2cb23a2c8672e                                                                                                              0.0s
 => => extracting sha256:df762380fec23daccc056c85c688be0a40f08ebca1c0f4bcfe593870c94221eb                                                                                                              0.3s
 => => sha256:8c6ebfbd95c0beb9bcff475311ee30886b20b7cecf3d50354aa66e2179ee63e0 358.01kB / 358.01kB                                                                                                     3.5s
 => => extracting sha256:35e2da6314f0f15f4c56cbcc088671ac47fdadbfa49e0cffc7d4af4115bf8252                                                                                                              0.3s
 => => extracting sha256:b1876ed457134301a7df34a3ca2439dcfc33697041b82fb1f807a6581848f844                                                                                                              0.0s
 => => extracting sha256:ef2c706bd6871a3583243de994a8002f078d188a65da183d78eca217488d1662                                                                                                              0.0s
 => => sha256:67b698bad598328472c437453034c5b8a2370fd61da5133929aab1fd0454d451 325.73kB / 325.73kB                                                                                                     4.2s
 => => sha256:8136db01146f279fa8312662fee58233c54ad88e99262ecf2c09d00568b0905c 316B / 316B                                                                                                             4.4s
 => => sha256:0c2b8fa50c12cd08a4783986cf7e0cb2ee765f723437c45c2ff740147cece2c4 8.37kB / 8.37kB                                                                                                         4.7s
 => => sha256:4e3658e629d04b07b86ea085b6acbd284ffc436f54f074e247e92f8157c13a26 4.90MB / 4.90MB                                                                                                         5.6s
 => => sha256:bcd6549196e65de4e2cd4668cd3299b4f54d91a2cc0252b5533f75c13600580a 239.58kB / 239.58kB                                                                                                     5.9s
 => => sha256:a2644530c9f7eead0a04603678bb3e67384bf3ebaecc89e5140514afd8e34993 522B / 522B                                                                                                             6.2s
 => => extracting sha256:8fdfcb70e9325ac4ed818c1ea97b53c196269a921715244a355ca8c4ab9c31ad                                                                                                              9.5s
 => => extracting sha256:fd49abd7a85d02440054713ad46677f045be713f83dd5df7ffe621125cd26b07                                                                                                              0.0s
 => => extracting sha256:5baeeb1047941986575874fbb938a4d489df9a9c4ca28080d032ad6fd1d13184                                                                                                             12.5s
 => => extracting sha256:f19e8bdcbaf67dc874fb1695ffcb6051b6593a61b5f8509797c7e9f20c729e76                                                                                                              0.0s
 => => extracting sha256:486d17129b8941ec0929501ef484ba2c6396a34145922c690014dace453cb0c7                                                                                                              0.1s
 => => extracting sha256:48f76cdc2d1191d0d835d8a868afc8ccf6c92940f5ddb7006af501ae79bdc91b                                                                                                              0.0s
 => => extracting sha256:8c6ebfbd95c0beb9bcff475311ee30886b20b7cecf3d50354aa66e2179ee63e0                                                                                                              0.0s
 => => extracting sha256:67b698bad598328472c437453034c5b8a2370fd61da5133929aab1fd0454d451                                                                                                              0.0s
 => => extracting sha256:8136db01146f279fa8312662fee58233c54ad88e99262ecf2c09d00568b0905c                                                                                                              0.0s
 => => extracting sha256:0c2b8fa50c12cd08a4783986cf7e0cb2ee765f723437c45c2ff740147cece2c4                                                                                                              0.0s
 => => extracting sha256:4e3658e629d04b07b86ea085b6acbd284ffc436f54f074e247e92f8157c13a26                                                                                                              0.1s
 => => extracting sha256:bcd6549196e65de4e2cd4668cd3299b4f54d91a2cc0252b5533f75c13600580a                                                                                                              0.0s
 => => extracting sha256:a2644530c9f7eead0a04603678bb3e67384bf3ebaecc89e5140514afd8e34993                                                                                                              0.0s
 => [2/7] RUN apt-get update &&  apt-get install -y software-properties-common &&  add-apt-repository ppa:deadsnakes/ppa &&  add-apt-repository ppa:ubuntu-toolchain-r/test &&  add-apt-repository   109.5s
 => [3/7] RUN apt-get install -y python3.6 python3.6-dev &&  ln -sf /usr/bin/python3.6 /usr/local/bin/python3 &&  ln -sf /usr/bin/python3.6 /usr/bin/python3 &&  cd / && wget https://bootstrap.pypa  18.9s
 => ERROR [4/7] RUN  rm -rf /opt/ros/kinetic/lib/python2.7/dist-packages/cv2.so &&  python3 -m pip install --upgrade pip &&  python3 -m pip install trimesh==3.7.12 open3d==0.9.0.0 opencv-python  t  32.2s
------
 > [4/7] RUN  rm -rf /opt/ros/kinetic/lib/python2.7/dist-packages/cv2.so &&  python3 -m pip install --upgrade pip &&  python3 -m pip install trimesh==3.7.12 open3d==0.9.0.0 opencv-python  transformations torchviz torchsummary vispy==0.6.4 PyOpenGL==3.1.0 plyfile pyglet==1.2.4 pyrender==0.1.43 scikit-image==0.16.2 &&  python3 -m pip install Pillow --upgrade:
0.881 Requirement already satisfied: pip in /usr/local/lib/python3.6/dist-packages (21.3.1)
1.072 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
1.811 Collecting trimesh==3.7.12
2.005   Downloading trimesh-3.7.12-py3-none-any.whl (616 kB)
2.178 Collecting open3d==0.9.0.0
2.232   Downloading open3d-0.9.0.0-cp36-cp36m-manylinux1_x86_64.whl (4.9 MB)
2.644 Collecting opencv-python
2.678   Downloading opencv-python-4.9.0.80.tar.gz (92.9 MB)
12.58   Installing build dependencies: started
20.73   Installing build dependencies: finished with status 'done'
20.74   Getting requirements to build wheel: started
21.25   Getting requirements to build wheel: finished with status 'done'
21.26   Preparing metadata (pyproject.toml): started
21.84   Preparing metadata (pyproject.toml): finished with status 'done'
21.91 Collecting transformations
21.96   Downloading transformations-2021.6.6.tar.gz (45 kB)
21.97   Preparing metadata (setup.py): started
24.39   Preparing metadata (setup.py): finished with status 'done'
24.43 Collecting torchviz
24.48   Downloading torchviz-0.0.2.tar.gz (4.9 kB)
24.49   Preparing metadata (setup.py): started
24.64   Preparing metadata (setup.py): finished with status 'done'
24.67 Collecting torchsummary
24.70   Downloading torchsummary-1.5.1-py3-none-any.whl (2.8 kB)
24.85 Collecting vispy==0.6.4
25.26   Downloading vispy-0.6.4-cp36-cp36m-manylinux2010_x86_64.whl (2.3 MB)
25.53 Collecting PyOpenGL==3.1.0
25.56   Downloading PyOpenGL-3.1.0.zip (2.2 MB)
25.99   Preparing metadata (setup.py): started
26.23   Preparing metadata (setup.py): finished with status 'done'
26.28 Collecting plyfile
26.31   Downloading plyfile-0.8-py3-none-any.whl (40 kB)
26.37 Collecting pyglet==1.2.4
26.41   Downloading pyglet-1.2.4-py3-none-any.whl (964 kB)
26.56 Collecting pyrender==0.1.43
26.61   Downloading pyrender-0.1.43-py3-none-any.whl (1.2 MB)
26.89 Collecting scikit-image==0.16.2
26.93   Downloading scikit_image-0.16.2-cp36-cp36m-manylinux1_x86_64.whl (26.5 MB)
29.21 Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from trimesh==3.7.12) (59.6.0)
29.58 Collecting numpy
29.62   Using cached numpy-1.19.5-cp36-cp36m-manylinux2010_x86_64.whl (14.8 MB)
29.73 Collecting ipywidgets
29.76   Downloading ipywidgets-7.8.1-py2.py3-none-any.whl (124 kB)
29.84 Collecting notebook
29.87   Downloading notebook-6.4.10-py3-none-any.whl (9.9 MB)
30.68 Collecting widgetsnbextension
30.72   Downloading widgetsnbextension-3.6.6-py2.py3-none-any.whl (1.6 MB)
30.87 Collecting freetype-py
30.90   Downloading freetype_py-2.2.0-py3-none-manylinux1_x86_64.whl (890 kB)
31.36 Collecting Pillow
31.39   Downloading Pillow-8.4.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)
31.61 INFO: pip is looking at multiple versions of pyglet to determine which version is compatible with other requirements. This could take a while.
31.62 INFO: pip is looking at multiple versions of pyopengl to determine which version is compatible with other requirements. This could take a while.
31.62 INFO: pip is looking at multiple versions of <Python from Requires-Python> to determine which version is compatible with other requirements. This could take a while.
31.62 INFO: pip is looking at multiple versions of vispy to determine which version is compatible with other requirements. This could take a while.
31.62 INFO: pip is looking at multiple versions of open3d to determine which version is compatible with other requirements. This could take a while.
31.62 INFO: pip is looking at multiple versions of trimesh to determine which version is compatible with other requirements. This could take a while.
31.62 ERROR: Cannot install pyglet==1.2.4 and pyrender==0.1.43 because these package versions have conflicting dependencies.
31.62 
31.62 The conflict is caused by:
31.62     The user requested pyglet==1.2.4
31.62     pyrender 0.1.43 depends on pyglet>=1.4.10
31.62 
31.62 To fix this you could try to:
31.62 1. loosen the range of package versions you've specified
31.62 2. remove package versions to allow pip attempt to solve the dependency conflict
31.62 
31.62 ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies
------
dockerfile:23
--------------------
  22 |     
  23 | >>> RUN  rm -rf /opt/ros/kinetic/lib/python2.7/dist-packages/cv2.so &&\
  24 | >>>   python3 -m pip install --upgrade pip &&\
  25 | >>>   python3 -m pip install trimesh==3.7.12 open3d==0.9.0.0 opencv-python  transformations torchviz torchsummary vispy==0.6.4 PyOpenGL==3.1.0 plyfile pyglet==1.2.4 pyrender==0.1.43 scikit-image==0.16.2 &&\
  26 | >>>   python3 -m pip install Pillow --upgrade
  27 |     
--------------------
ERROR: failed to solve: process "/bin/sh -c rm -rf /opt/ros/kinetic/lib/python2.7/dist-packages/cv2.so &&  python3 -m pip install --upgrade pip &&  python3 -m pip install trimesh==3.7.12 open3d==0.9.0.0 opencv-python  transformations torchviz torchsummary vispy==0.6.4 PyOpenGL==3.1.0 plyfile pyglet==1.2.4 pyrender==0.1.43 scikit-image==0.16.2 &&  python3 -m pip install Pillow --upgrade" did not complete successfully: exit code: 1

Screenshot from 2024-01-29 09-46-17

aThinkingNeal commented 7 months ago

Greetings, I am facing the issue while using the dockerfile to build the image

image

wenbowen123 commented 7 months ago

It should has nothing to do with Ubuntu 22. What if you just do pip install pyrender and skip pyglet

ZisongXu commented 6 months ago

Hi Dear bowen, I tried just do pip install pyrender and skip pyglet, it seems work, and now i am trying continue to do some test. If i have any questions i will give you feed back

monajalal commented 6 months ago

@wenbowen123 thanks a lot for your response. Confirming that it also worked for me.

(base) mona@ada:~/iros20-6d-pose-tracking/docker$  docker build -t posetrack .
[+] Building 1432.2s (11/11) FINISHED                                                                                                                                                        docker:default
 => [internal] load build definition from dockerfile                                                                                                                                                   0.0s
 => => transferring dockerfile: 2.75kB                                                                                                                                                                 0.0s
 => [internal] load .dockerignore                                                                                                                                                                      0.0s
 => => transferring context: 2B                                                                                                                                                                        0.0s
 => [internal] load metadata for docker.io/nvidia/cudagl:11.3.0-devel-ubuntu16.04                                                                                                                      5.6s
 => [1/7] FROM docker.io/nvidia/cudagl:11.3.0-devel-ubuntu16.04@sha256:01ed8befe59f7d9c967ff84a4ced41af5dfecf5028d415579e5837a9ce7425b6                                                                0.0s
 => CACHED [2/7] RUN apt-get update &&  apt-get install -y software-properties-common &&  add-apt-repository ppa:deadsnakes/ppa &&  add-apt-repository ppa:ubuntu-toolchain-r/test &&  add-apt-reposi  0.0s
 => CACHED [3/7] RUN apt-get install -y python3.6 python3.6-dev &&  ln -sf /usr/bin/python3.6 /usr/local/bin/python3 &&  ln -sf /usr/bin/python3.6 /usr/bin/python3 &&  cd / && wget https://bootstra  0.0s
 => [4/7] RUN  rm -rf /opt/ros/kinetic/lib/python2.7/dist-packages/cv2.so &&  python3 -m pip install --upgrade pip &&  python3 -m pip install trimesh==3.7.12 open3d==0.9.0.0 opencv-python  trans  1300.6s
 => [5/7] RUN python3 -m pip install torch==1.10.2+cu113 torchvision==0.11.3+cu113 torchaudio==0.10.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html                               70.1s 
 => [6/7] RUN cd / && wget https://download.blender.org/release/Blender2.79/blender-2.79b-linux-glibc219-x86_64.tar.bz2  &&    tar xvf blender-2.79b-linux-glibc219-x86_64.tar.bz2 && rm -rf blender  14.7s 
 => [7/7] RUN cd / && rm -rf get-pip.py && wget https://bootstrap.pypa.io/pip/3.5/get-pip.py &&    /blender-2.79b-linux-glibc219-x86_64/2.79/python/bin/python3.5m get-pip.py &&    rm -rf /blender-  18.3s 
 => exporting to image                                                                                                                                                                                22.9s 
 => => exporting layers                                                                                                                                                                               22.9s 
 => => writing image sha256:a91070b8c9e2dd280bfa98abb53a87712e6665442f2e5ff7226a5cb85d866a6d                                                                                                           0.0s 
 => => naming to docker.io/library/posetrack