using docker and sim
AloshkaD opened this issue · 6 comments
When Using the provided docker container and the sim running nativaly, I get the following error when I execute "roslaunch launch/styx.launch"
message handler error
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/engineio/server.py", line 398, in _trigger_event
return self.handlersevent
File "/usr/local/lib/python2.7/dist-packages/socketio/server.py", line 509, in _handle_eio_message
self._handle_event(sid, pkt.namespace, pkt.id, pkt.data)
File "/usr/local/lib/python2.7/dist-packages/socketio/server.py", line 448, in _handle_event
self._handle_event_internal(self, sid, data, namespace, id)
File "/usr/local/lib/python2.7/dist-packages/socketio/server.py", line 451, in _handle_event_internal
r = server._trigger_event(data[0], namespace, sid, *data[1:])
File "/usr/local/lib/python2.7/dist-packages/socketio/server.py", line 480, in _trigger_event
return self.handlers[namespace]event
File "/capstone/ros/src/styx/server.py", line 58, in image
bridge.publish_camera(data)
File "/capstone/ros/src/styx/bridge.py", line 180, in publish_camera
image_message = self.bridge.cv2_to_imgmsg(image_array, encoding="rgb8")
File "/opt/ros/kinetic/lib/python2.7/dist-packages/cv_bridge/core.py", line 248, in cv2_to_imgmsg
img_msg.height = cvim.shape[0]
IndexError: tuple index out of range
Here is more information. Apparently all information are exchanged between the sim and docker except the images
Hi, I wonder if anyone has faced this problem The error is shown below for running the simulator on my local machine and the code execution on the docker image provided by udacity. I simply followed the steps in the capstone repo. It seems as if there is an issue with getting the images from the sim for traffic lights.
root@ca4804a2d52c:/capstone/trials/2/CarND-Capstone/ros# roslaunch launch/styx.launch
… logging to /root/.ros/log/f94694be-b78f-11e7-8a2e-0242ac110002/roslaunch-ca4804a2d52c-4142.log
Checking log directory for disk usage. This may take awhile.
Press Ctrl-C to interrupt
Done checking log file disk usage. Usage is <1GB.
started roslaunch server http://ca4804a2d52c:33710/
SUMMARY
PARAMETERS
/dbw_node/accel_limit: 1.0
/dbw_node/brake_deadband: 0.2
/dbw_node/decel_limit: -5.0
/dbw_node/fuel_capacity: 0.0
/dbw_node/max_lat_accel: 3.0
/dbw_node/max_steer_angle: 8.0
/dbw_node/steer_ratio: 14.8
/dbw_node/vehicle_mass: 1080.0
/dbw_node/wheel_base: 3
/dbw_node/wheel_radius: 0.335
/pure_pursuit/linear_interpolate_mode: True
/rosdistro: kinetic
/rosversion: 1.12.7
/traffic_light_config: <…>
/waypoint_loader/path: /capstone/trials/…
/waypoint_loader/velocity: 40
NODES
/
dbw_node (twist_controller/dbw_node.py)
pure_pursuit (waypoint_follower/pure_pursuit)
styx_server (styx/server.py)
tl_detector (tl_detector/tl_detector.py)
unity_simulator (styx/unity_simulator_launcher.sh)
waypoint_loader (waypoint_loader/waypoint_loader.py)
waypoint_updater (waypoint_updater/waypoint_updater.py)
auto-starting new master
process[master]: started with pid [4153]
ROS_MASTER_URI=http://localhost:11311
setting /run_id to f94694be-b78f-11e7-8a2e-0242ac110002
process[rosout-1]: started with pid [4166]
started core service [/rosout]
process[styx_server-2]: started with pid [4177]
process[unity_simulator-3]: started with pid [4184]
What is the full path to your Unity simulator?
process[dbw_node-4]: started with pid [4190]
process[waypoint_loader-5]: started with pid [4193]
process[pure_pursuit-6]: started with pid [4205]
(4177) wsgi starting up on http://0.0.0.0:4567
process[waypoint_updater-7]: started with pid [4235]
process[tl_detector-8]: started with pid [4318]
[INFO] [1508721467.700954]: Loading Tensorflow model into memory
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
(4177) accepted (‘172.17.0.1’, 51010)
message handler error
Traceback (most recent call last):
File “/usr/local/lib/python2.7/dist-packages/engineio/server.py”, line 398, in _trigger_event
return self.handlersevent
File “/usr/local/lib/python2.7/dist-packages/socketio/server.py”, line 509, in _handle_eio_message
self._handle_event(sid, pkt.namespace, pkt.id, pkt.data)
File “/usr/local/lib/python2.7/dist-packages/socketio/server.py”, line 448, in _handle_event
self._handle_event_internal(self, sid, data, namespace, id)
File “/usr/local/lib/python2.7/dist-packages/socketio/server.py”, line 451, in _handle_event_internal
r = server._trigger_event(data[0], namespace, sid, *data[1:])
File “/usr/local/lib/python2.7/dist-packages/socketio/server.py”, line 480, in _trigger_event
return self.handlers[namespace]event
File “/capstone/trials/2/CarND-Capstone/ros/src/styx/server.py”, line 58, in image
bridge.publish_camera(data)
File “/capstone/trials/2/CarND-Capstone/ros/src/styx/bridge.py”, line 181, in publish_camera
image_message = self.bridge.cv2_to_imgmsg(image_array, encoding=“rgb8”)
File “/opt/ros/kinetic/lib/python2.7/dist-packages/cv_bridge/core.py”, line 248, in cv2_to_imgmsg
img_msg.height = cvim.shape[0]
IndexError: tuple index out of range
Pleas help!
I solved with pip install pillow --upgrade inside the docker.
Looks like this was solved above; the project is now in a classroom workspace, so shouldn't have any further docker issues.
The recommended solution by @jokla works like a charm with a single adjustment. I am guessing latest pillow version (7.0.0 as of writing this command) is not compatible with python 2.7
To fix it, I had to fallback into 6.2.2
i.e., Pillow==6.2.2
yes Pillow=6.2.2 works. Thank you for sharing.