BADAL KUMAR

[ERROR] [1599771723.658597680]: Input pointcloud queue getting too long! Dropping some pointclouds. Either unable to look up transform timestamps or the processing is taking too long. I also getting the same...

/home/agx3/ros2/devel/include/spot_msgs/LeaseArray.h:18:10: fatal error: spot_msgs/LeaseResource.h: No such file or directory #include ^~~~~~~~~~~~~~~~~~~~~~~~~~~

import torch from lib.model_test import D2Net from lib.utils import preprocess_image from lib.pyramid import process_multiscale # CUDA use_cuda = torch.cuda.is_available() device = torch.device("cuda:0" if use_cuda else "cpu") # Initialize the model...

https://drive.google.com/file/d/17B-VuCAcNt7Mm40y3rJxEth5Nl6tTF8R/view?usp=sharing

I have an engine file , i have confirmed the input and output binding name its correct . now the problem is my engine output is in the NCHW format...

I am not using peopleseg ,I am using segformer from NGC catalog pretrained on cityscape dataset. I converted that into trt engine and passing it through the IRIS.

You have to pass your input output binding name at the time of conversion in onnx format. Then pass the same name for the input and output binding in this...

# Input to the model x = torch.randn(batch_size, 1, 224, 224, requires_grad=True) torch_out = torch_model(x) # Export the model torch.onnx.export(torch_model, # model being run x, # model input (or a...

Input names and output names is the binding name here