kajananchinniahNV

Adding on, for real data, the original repository has a [data section](https://github.com/NVlabs/CenterPose/tree/main/data) which discusses how they pre-processed the [Objectron dataset](https://github.com/google-research-datasets/Objectron) for CenterPose. This can likely be adapted for your use-case,...

In the `TensorRTNode` and the `DNNImageEncoderNode`, there's a parameter called `num_blocks`. This defaults to `40`. Could you try reducing it to say 20 or 10 and seeing if that improves...

Hi @immaixq, The problem you posted seems to originate from a parameter mismatch. We have parameters called `input_binding_names` and `output_binding_names`, as well as `input_tensor_names` and `output_tensor_names`. Please see [here](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_object_detection/blob/main/isaac_ros_yolov8/launch/yolov8_tensor_rt.launch.py#L37) for...

Hi @mzahana, To respond to your issue separately, hopefully my first response is helpful for your first issue. You're also right that the number of classes expected by the decoder...

Thanks for finding a fix to the issue! I'll remove the `needs info` label and keep the `bug` label. We'll be working on a patch to this issue soon. The...

I'll be reopening this until we have a solution merged in the repository for tracking purposes. We'll close it once a fix is in place.

Hi @TeamRoboTo, I believe the issue is because the `input_binding_names` and `output_binding_names` parameter aren't set. In the quickstart, the command we provide is: ``` ros2 launch isaac_ros_yolov8 isaac_ros_yolov8_visualize.launch.py model_file_path:=/tmp/yolov8s.onnx engine_file_path:=/tmp/yolov8s.plan...

Hi @magic-Alex In our latest release because of our usage of debians now, it's harder to update the source code directly to apply this fix now. My recommendation for now...

Hi @immaixq, Based on the information, I suspect that you're right that the cause of this issue is the two outputs as well since our node currently does not expect...

My recommendation would be to check out a feature we have called [CUDA with NITROS](https://nvidia-isaac-ros.github.io/concepts/nitros/cuda_with_nitros.html). This is our approach to allowing users to write their own custom pre-processing and post-processing...