DeeplabV3 Segmantic segmentation not running

[joelbudu]

I've tried to run the steps for converting a deeplabV3 model and running this using the
ros2 launch dynamic_vino_sample pipeline_segmentation.launch.py example.

Unfortunately I am unable to get an inference output from the model and the logs get stuck at this point below:

`input_names:
[pipeline_with_params-1] [ INFO ] | input-->mul_1/placeholder_port_1
[pipeline_with_params-1] [ INFO ] | output_names:
[pipeline_with_params-1] [ INFO ] | detection-->ArgMax/Squeeze
[pipeline_with_params-1] [ INFO ] | masks-->ArgMax/Squeeze

[pipeline_with_params-1] [ DEBUG ] DEBUG: in Pipeline run process...
[pipeline_with_params-1] [ DEBUG ] DEBUG: Enqueue for detection: ObjectSegmentation
[pipeline_with_params-1] [ DEBUG ] first tensor4
[pipeline_with_params-1] [ DEBUG ] DEBUG: Submit Infer request for detection: ObjectSegmentation
[pipeline_with_params-1] [ DEBUG ] Async Inference started!
[pipeline_with_params-1] [ DEBUG ] DEBUG: align inference process, waiting until all inferences done!
[pipeline_with_params-1] [ DEBUG ] Hello callback ----> ObjectSegmentation
[pipeline_with_params-1] [ DEBUG ] Analyzing Detection results...`

Any assistance would be appreciated.

[LewisLiuPub]

Will close the issue. Suppose the latest source code in branch master or ros2 has no such error.
Create a new one if you occur it again.