Test Classification for single image.
priyaganaboor-hash opened this issue · comments
Hey, @dusty-nv
This below command uses the camera, can I also test the working by passing just single image. Similar to how we did in jetson-inference, where we passed the input as path to the image.file.
roslaunch ros_deep_learning video_viewer.ros1.launch input:=csi://0 output:=display://0
Which commands I have to change and which launch file to include?
hey @dusty-nv ,
can u please help me solve this?
If i type like this,
roslaunch ros_deep_learning imagenet.ros1.launch input:=/home/bm-jetson/catkin_ws/src/ros_deep_learning/PlantClassification/train_img11.jpg output:=home/bm-jetson/catkin_ws/src/ros_deep_learning/PlantClassification/output1111.jpg
--
[TRT] device GPU, /home/bm-jetson/catkin_ws/src/ros_deep_learning/PlantClassification/resnet50.onnx initialized.
[TRT] imageNet -- loaded 2 class info entries
[TRT] imageNet -- /home/bm-jetson/catkin_ws/src/ros_deep_learning/PlantClassification/resnet50.onnx initialized.
[ INFO] [1622558727.615601021]: model hash => 6707725573171851291
[ INFO] [1622558727.622362479]: hash string => /home/bm-jetson/catkin_ws/src/ros_deep_learning/PlantClassification/resnet50.onnx/home/bm-jetson/catkin_ws/src/ros_deep_learning/PlantClassification/labels.txt
[ INFO] [1622558727.627902896]: node namespace => /imagenet
[ INFO] [1622558727.627993729]: class labels => /imagenet/class_labels_6707725573171851291
[ INFO] [1622558727.646194094]: imagenet node initialized, waiting for messages
It is waiting for publisher, what does it mean?
Hey @dusty-nv
can you please help me here??
@priyaganaboor-hash I think the issue may be that videoSource only publishes the image once, since it is only one image. It may publish that one image before imageNet node is initialized. What if you just point it to input:=/home/bm-jetson/catkin_ws/src/ros_deep_learning/PlantClassification/ ? Then it should publish many images from the directory
There is also the loop parameter to the videoSource node that you can use, it will loop over the same image N number of times: https://github.com/dusty-nv/ros_deep_learning#video_source-node
Thanks @dusty-nv
I published to topic /video_source/raw, it worked.
once it is classified the plant i want to terminate the execution, I am checking where i can use ros_shutdown, or use required="true" in launch.
which would be better option?
I am checking where i can use ros_shutdown, or use required="true" in launch.
Sorry I'm not familiar with these options. I thinkros_shutdownonly shuts down the node it was run from within.