Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc) : A6000
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc) : Changenet
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here) : 5.3.0
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
I have a trained a visual changenet segmentation model using custom dataset & deployed it on triton. I am unable to do postprocessing of the results like how to extract conf score , class , segmentation mask details … is there any sample code available for me to take a look.
output [
{
name: “output_final”
data_type: TYPE_FP32
dims: [ 2, 256, 256 ]
},
{
name: “output0”
data_type: TYPE_FP32
dims: [ 2, 16, 16 ]
},
{
name: “output1”
data_type: TYPE_FP32
dims: [ 2, 16, 16 ]
},
{
name: “output2”
data_type: TYPE_FP32
dims: [ 2, 32, 32 ]
},
{
name: “output3”
data_type: TYPE_FP32
dims: [ 2, 64, 64 ]
}
]