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nvidia@nvidia-desktop:~$ roslaunch yolov4_trt_ros yolov4_trt.launch
... logging to /home/nvidia/.ros/log/c52fbab6-92fa-11ec-9d08-48b02d15fa07/roslaunch-nvidia-desktop-14376.log
Checking log directory for disk usage. This may take a while.
Press Ctrl-C to interrupt
Done checking log file disk usage. Usage is <1GB.
process[yolov4_trt_node-1]: started with pid [14393]
Traceback (most recent call last):
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/trt_yolo_v4.py", line 173, in
main()
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/trt_yolo_v4.py", line 163, in main
yolo = yolov4()
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/trt_yolo_v4.py", line 33, in init
(self.model_path + self.model), (self.h, self.w), self.category_num)
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/utils/yolo_with_plugins.py", line 220, in init
self.engine, grid_sizes)
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/utils/yolo_with_plugins.py", line 258, in allocate_buffers
3 * 7 * engine.max_batch_size
AssertionError
Exception ignored in: <bound method TrtYOLO.del of <utils.yolo_with_plugins.TrtYOLO object at 0x7f8cb90f28>>
Traceback (most recent call last):
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/utils/yolo_with_plugins.py", line 224, in del
del self.outputs
AttributeError: outputs
PyCUDA ERROR: The context stack was not empty upon module cleanup.
A context was still active when the context stack was being
cleaned up. At this point in our execution, CUDA may already
have been deinitialized, so there is no way we can finish
cleanly. The program will be aborted now.
Use Context.pop() to avoid this problem.
[yolov4_trt_node-1] process has died [pid 14393, exit code -6, cmd /home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/trt_yolo_v4.py __name:=yolov4_trt_node __log:=/home/nvidia/.ros/log/c52fbab6-92fa-11ec-9d08-48b02d15fa07/yolov4_trt_node-1.log].
log file: /home/nvidia/.ros/log/c52fbab6-92fa-11ec-9d08-48b02d15fa07/yolov4_trt_node-1*.log
all processes on machine have died, roslaunch will exit
shutting down processing monitor...
... shutting down processing monitor complete
done
The text was updated successfully, but these errors were encountered:
nvidia@nvidia-desktop:~$ roslaunch yolov4_trt_ros yolov4_trt.launch
... logging to /home/nvidia/.ros/log/c52fbab6-92fa-11ec-9d08-48b02d15fa07/roslaunch-nvidia-desktop-14376.log
Checking log directory for disk usage. This may take a while.
Press Ctrl-C to interrupt
Done checking log file disk usage. Usage is <1GB.
started roslaunch server http://nvidia-desktop:35351/
SUMMARY
PARAMETERS
NODES
/
yolov4_trt_node (yolov4_trt_ros/trt_yolo_v4.py)
ROS_MASTER_URI=http://localhost:11311
process[yolov4_trt_node-1]: started with pid [14393]
Traceback (most recent call last):
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/trt_yolo_v4.py", line 173, in
main()
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/trt_yolo_v4.py", line 163, in main
yolo = yolov4()
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/trt_yolo_v4.py", line 33, in init
(self.model_path + self.model), (self.h, self.w), self.category_num)
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/utils/yolo_with_plugins.py", line 220, in init
self.engine, grid_sizes)
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/utils/yolo_with_plugins.py", line 258, in allocate_buffers
3 * 7 * engine.max_batch_size
AssertionError
Exception ignored in: <bound method TrtYOLO.del of <utils.yolo_with_plugins.TrtYOLO object at 0x7f8cb90f28>>
Traceback (most recent call last):
File "/home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/utils/yolo_with_plugins.py", line 224, in del
del self.outputs
AttributeError: outputs
PyCUDA ERROR: The context stack was not empty upon module cleanup.
A context was still active when the context stack was being
cleaned up. At this point in our execution, CUDA may already
have been deinitialized, so there is no way we can finish
cleanly. The program will be aborted now.
Use Context.pop() to avoid this problem.
[yolov4_trt_node-1] process has died [pid 14393, exit code -6, cmd /home/nvidia/volansjiahang/src/mid/image_process/yolov4_trt_ros/trt_yolo_v4.py __name:=yolov4_trt_node __log:=/home/nvidia/.ros/log/c52fbab6-92fa-11ec-9d08-48b02d15fa07/yolov4_trt_node-1.log].
log file: /home/nvidia/.ros/log/c52fbab6-92fa-11ec-9d08-48b02d15fa07/yolov4_trt_node-1*.log
all processes on machine have died, roslaunch will exit
shutting down processing monitor...
... shutting down processing monitor complete
done
The text was updated successfully, but these errors were encountered: