Running the example /examples/kuka_iiwa_arm/kuka_simulation gives me the following error:
Blockquote
Traceback (most recent call last):
File "/home/felix/.cache/bazel/_bazel_felix/6a5b9f62883c4665b1f398a636821629/external/drake_visualizer/lib/python2.7/site-packages/director/lcmUtils.py", line 117, in handleMessage
callback(msg, channel=channel)
File "/home/felix/git/drake/bazel-bin/tools/drake_visualizer.runfiles/drake/tools/workspace/drake_visualizer/plugin/show_frame.py", line 93, in _handle_message
frame_channel.handle_message(msg)
File "/home/felix/git/drake/bazel-bin/tools/drake_visualizer.runfiles/drake/tools/workspace/drake_visualizer/plugin/show_frame.py", line 36, in handle_message
vis.updateFrame(transform, name, parent=folder, scale=0.1)
File "/home/felix/.cache/bazel/_bazel_felix/6a5b9f62883c4665b1f398a636821629/external/drake_visualizer/lib/python2.7/site-packages/director/visualization.py", line 879, in updateFrame
obj.copyFrame(frame)
AttributeError: 'ContainerItem' object has no attribute 'copyFrame'
Example was started with:
bazel-bin/tools/drake_visualizer &
./bazel-bin/examples/kuka_iiwa_arm/kuka_simulation
bazel-bin/lcmtypes/drake-lcm-spy shows that the channel DRAKE_DRAW_FRAMES is up and messages are being transmitted.
Information about my system:
Operating system: Ubuntu 18.04
gcc: gcc (Ubuntu 7.4.0-9ubuntu1~18.04.york0) 7.4.0
python: Python 2.7.15+ // This is the default python version
bazel run #drake//common:print_host_settings: gcc (Ubuntu 7.4.09ubuntu1~18.04.york0) 7.4.0
cmake: 3.15.4
drake was built from source using bazel 0.29.0
If I run
bazel-bin/tools/drake_visualizer &
./bazel-bin/manipulation/util/geometry_inspector ./manipulation/models/iiwa_description/sdf/iiwa14_no_collision.sdf
The Kuka arm is shown in the visualizer and I can use the sliders to control the configuration of the arm.
Edit: My problem is that when I run /examples/kuka_iiwa_arm/kuka_simulation, no frames are displayed in the visualizer.
This should be fixed once we update the version of Director shipped with Drake.
We're already in the process of doing so via our Python 3 update: https://github.com/RobotLocomotion/drake/issues/12046
Thanks for reporting this!
Related
Question related to Drake-ros's #142 - I am unable to pull in the rviz_2d_overlay_plugins in drake_ros_viz via the bazel WORKSPACE mech. I have tried both focal and jammy rolling/humble distributions. I see the following error -
ERROR: no such package '#ros2//': Failed to setup #ros2 repository: './run.bash /home/arrowhead/.cache/bazel/_bazel_arrowhead/90cc0dfb7c9efd65bbcc1ee9dd934f8e/external/bazel_ros2_rules/ros2/scrape_distribution.py -i geometry_msgs -i rclcpp -i rclpy -i tf2_ros -i tf2_ros_py -i visualization_msgs -i rviz_2d_overlay_plugins -o distro_metadata.json' exited with 1
--- captured stderr ---
Traceback (most recent call last):
File "/home/arrowhead/.cache/bazel/_bazel_arrowhead/90cc0dfb7c9efd65bbcc1ee9dd934f8e/external/bazel_ros2_rules/ros2/scrape_distribution.py", line 54, in <module>
main()
File "/home/arrowhead/.cache/bazel/_bazel_arrowhead/90cc0dfb7c9efd65bbcc1ee9dd934f8e/external/bazel_ros2_rules/ros2/scrape_distribution.py", line 46, in main
distro = scrape_distribution(
File "/home/arrowhead/.cache/bazel/_bazel_arrowhead/90cc0dfb7c9efd65bbcc1ee9dd934f8e/external/ros2/resources/ros2bzl/scraping/__init__.py", line 90, in scrape_distribution
packages, dependency_graph = build_dependency_graph(
File "/home/arrowhead/.cache/bazel/_bazel_arrowhead/90cc0dfb7c9efd65bbcc1ee9dd934f8e/external/ros2/resources/ros2bzl/scraping/__init__.py", line 50, in build_dependency_graph
raise RuntimeError(msg)
RuntimeError: Cannont find package 'rviz_2d_overlay_plugins'
I see the package on ROS Index here and my relevant WORKSPACE Bazel bit is given below.
ros2_archive(
name = "ros2",
include_packages = [
"geometry_msgs",
"rclcpp",
"rclpy",
"tf2_ros",
"tf2_ros_py",
"visualization_msgs",
"rviz_2d_overlay_plugins"
],
sha256_url = "https://build.ros2.org/view/Hci/job/Hci__nightly-cyclonedds_ubuntu_jammy_amd64/lastSuccessfulBuild/artifact/ros2-humble-linux-jammy-amd64-ci-CHECKSUM", # noqa
strip_prefix = "ros2-linux",
url = "https://build.ros2.org/view/Hci/job/Hci__nightly-cyclonedds_ubuntu_jammy_amd64/lastSuccessfulBuild/artifact/ros2-humble-linux-jammy-amd64-ci.tar.bz2", # noqa
)
Primary Suggestion: You may want to consider installing ROS Humble directly onto your Jammy OS, and then use ros2_local_repository rather than ros2_archive:
https://github.com/RobotLocomotion/drake-ros/blob/06dc6aa7d0237f4edb74130bcce8e9e78689d50c/bazel_ros2_rules/ros2/defs.bzl#L221-L239
Then you should be able to use a locally installed ROS 2 version, and install the package you want, either to /opt/ros or in a workspace that you're chaining.
FTR, in Anzu at TRI, we use ros2_archive presently for the following reasons (some of which are my opinions):
We wanted to use ROS 2 Humble on Focal, possibly mixing multiple different versions along different checkouts.
I want things to update only when I (we) precisely want. (For high confidence reproducibility, also to denoise apt upgrade)
For reproduciblity, I want us to maintain the ability to have decent reproducibility without aggressive containerization.
This means you should consolidate your development solely onto Jammy.
If you are already containerizing, then that should hopefully not be too large of a jump.
Alternative: If you really want to maintain archives, is to build your own extension archive including the packages you want. Here's an example kinda-hack that I had shimmed into Anzu:
https://github.com/EricCousineau-TRI/repro/tree/4079be209bfbc282d4580b5b2979faa148e1f394/ros/drake_ros_example_layered_archive
I'm following Drake's installation instructions from here for ubuntu.
I get stuck at this line:
python3 -c 'import pydrake; print(pydrake.__file__)'
with the following error:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/drake/lib/python3.6/site-packages/pydrake/__init__.py", line 41, in <module>
from . import common
File "/opt/drake/lib/python3.6/site-packages/pydrake/common/__init__.py", line 7, in <module>
from ._module_py import *
ModuleNotFoundError: No module named 'pydrake.common._module_py'
What is the ._module_py file? I don't see it in:
/opt/drake/lib/python3.6/site-packages/pydrake/common
The python version I've got installed is 3.8.5, but I don't think that's causing any problems.
The instructions you linked to say curl -o drake.tar.gz https://drake-packages.csail.mit.edu/drake/nightly/drake-latest-bionic.tar.gz. The "bionic" there is Ubuntu's codename for 18.04. If you are using Ubuntu 20.04, then the codename is "focal", so you should use start from curl -o drake.tar.gz https://drake-packages.csail.mit.edu/drake/nightly/drake-latest-focal.tar.gz so that you have Python 3.8 support.
Here are Drake's own installation instructions for pydrake, which are usually the most up-to-date reference: https://drake.mit.edu/python_bindings.html#installation
I am getting the following error when I try to load the Tensorflow Federated library on a server. I am using tensorflow_federated version 0.13.1
The Cuda version I have on the server is 10.2 . The Cudnn library is above 7.6.
What is the "libnvinfer.so.6" that is being asked?
2020-03-28 17:26:18.357394: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer.so.6'; dlerror: libnvinfer.so.6: cannot open shared object file: No such file or directory
2020-03-28 17:26:18.410547: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer_plugin.so.6'; dlerror: libnvinfer_plugin.so.6: cannot open shared object file: No such file or directory
2020-03-28 17:26:18.464258: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:30] Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
Traceback (most recent call last):
File "FedAvgREALWORLDWork.py", line 52, in <module>
import tensorflow_federated as tff
File "/user/env/lib/python3.5/site-packages/tensorflow_federated/__init__.py", line 61, in <module>
from tensorflow_federated.python import learning
File "/user/env/lib/python3.5/site-packages/tensorflow_federated/python/learning/__init__.py", line 17, in <module>
from tensorflow_federated.python.learning import framework
File "/user/env/lib/python3.5/site-packages/tensorflow_federated/python/learning/framework/__init__.py", line 20, in <module>
from tensorflow_federated.python.learning.framework.optimizer_utils import build_model_delta_optimizer_process
File "/user/env/lib/python3.5/site-packages/tensorflow_federated/python/learning/framework/optimizer_utils.py", line 176
f'({old_value.dtype}, {old_value.shape}) != '
^
SyntaxError: invalid syntax
I think that you have some librares are missing "libvinfer", for example to continue install cuda 10.1 you must install these packages
# Install TensorRT. Requires that libcudnn7 is installed above.
sudo apt-get install -y --no-install-recommends \
libnvinfer6=6.0.1-1+cuda10.1 \
libnvinfer-dev=6.0.1-1+cuda10.1 \
libnvinfer-plugin6=6.0.1-1+cuda10.1
I suggest that you See this : https://www.tensorflow.org/install/gpu
I hope that help you
I'm working on a project that I found online (Yolo Object Detection with OpenCV, one of Pyimageresearch projects). So, I downloaded the whole code and saved it in the Downloads folder as it was recommended the run the cmd line script:
python /home/ubuntu/Downloads/yolo-object-detection/yolo_video.py \
> --input /home/ubuntu/Downloads/yolo-object-detection/videos/WS-1sec.mp4 \
> --output /home/ubuntu/Downloads/yolo-object-detection/output/WS-1sec.avi \
> --yolo /home/ubuntu/Downloads/yolo-object-detection/yolo-coco
but the output was:
[INFO] loading YOLO from disk...
OpenCV(3.4.1-dev) Error: Parsing error (Unknown layer type: shortcut) in ReadDarknetFromCfgFile, file /home/ubuntu/src/opencv/modules/dnn/src/darknet/darknet_io.cpp, line 503
Traceback (most recent call last):
File "/home/ubuntu/Downloads/yolo-object-detection/yolo_video.py", line 42, in <module>
net = cv2.dnn.readNetFromDarknet(configPath, weightsPath)
cv2.error: OpenCV(3.4.1-dev) /home/ubuntu/src/opencv/modules/dnn/src/darknet/darknet_io.cpp:503: error: (-212) Unknown layer type: shortcut in function ReadDarknetFromCfgFile
I'm running the same exact version of OpenCV 3.4.1 on another machine and it worked there! This time I'm working on the Tetson TX2 but didn't rum!
Link to original project is here.
Any idea why these error occurs please!?
I think you might have the wrong OpenCV version. Check this answer:
OpenCV unknown layer type running darknet detect
"Support for running YOLOv3 has been added to OpenCV master branch (3.4.3)."
When I try to do the quickstart instructions for NiftyNet installed from PyPI I get the following error when running net_segment:
net_segment inference -c ~/niftynet/extensions/dense_vnet_abdominal_ct/config.ini
WARNING:tensorflow:SimpleITK adapter failed to load, reducing the supported file formats.
Traceback (most recent call last):
File "/usr/local/bin/net_segment", line 11, in <module>
sys.exit(main())
File "/usr/local/lib/python2.7/dist-packages/niftynet/__init__.py", line 51, in main
set_logger()
File "/usr/local/lib/python2.7/dist-packages/niftynet/io/misc_io.py", line 585, in set_logger
tf.logging._logger.handlers = []
AttributeError: 'module' object has no attribute '_logger'
I have tried this on a Linux Mint 18.3 install (this one) as well as an Arch Linux install with SimpleITK.
Here is the same error on Arch Linux with NiftyNet installed from the AUR with SimpleITK installed.
net_segment inference -c ~/niftynet/extensions/dense_vnet_abdominal_ct/config.ini
Traceback (most recent call last):
File "/usr/bin/net_segment", line 11, in <module>
load_entry_point('NiftyNet==0.2.2', 'console_scripts', 'net_segment')()
File "/usr/lib/python3.6/site-packages/niftynet/__init__.py", line 51, in main
set_logger()
File "/usr/lib/python3.6/site-packages/niftynet/io/misc_io.py", line 585, in set_logger
tf.logging._logger.handlers = []
AttributeError: module 'tensorflow.tools.api.generator.api.logging' has no attribute '_logger'
Solved by downgrading TensorFlow to version 1.7.
NiftyNet does not support TF 1.8 yet, as you have discovered.