I have trained the default MaskRCNN model From Nvidia-TLT notebook of Coco2017 data-set.
The model Trained and got converted into an “etlt” file without any problems and also had deployed in deepstream installed in a docker container on a PC having 2080Ti.
But i have some problems while deploying it in TX2.
Note: i have followd the deployment steps from the following nvidia dev blog
I have installed the latest Jetpack 4.5.1 coupled with Nvidia Deepstream 5.1 and also have built the TRT-OSS plugins and replaced the trt lib file.
While deploying the model file in deepstream the model gets loaded and converted to engine file after that the video then plays without any Segmentation in it.
I have rebuilt the TRT OSS again and followed the same procedure to deploy and didn’t get any colored segments in the output video.
The video was playing without any segments in it.
• Hardware Platform: TX2
• DeepStream: 5.1
• JetPack Version: 4.5.1
• TensorRT Version: 7
• Issue Type: Deployment of Mrcnn Model trained in NVIDIA TLT
The files and configs used are been added to this Drive Link to reproduce the same issue