Hello, I want to make a compact production quality inspector with Jetson nano as processor. I chose MaskRcnn because the model supports instance segmentation. There is a sample called sampleuffMaskRcnn in the TensorRT repo on github. When I read through the TensorRT Release Notes I noticed that the…

thanks AsataLLL! The Memory consumption on nano is almost 100% of the 4GB RAM. So I mount another 6GB swap file. I will try again using the instruction for Xavier to see if it can work on nano.

Hi, It may take more memory when converting the model into TensorRT. It’s recommended to check the memory usage again once having the TensorRT engine. If the memory usage not reaches 4GB, it will be faster without using the swap space. Thanks.

MaskRcnn on Jetson nano

Robotics & Edge Computing Jetson Systems Jetson Nano

AastaLLL April 8, 2020, 2:57am 3

Hi,

We have tested MaskRCNN on the Xavier and it can work without issue.
However, we haven’t tried it on Nano before.

There are two possible cause of your issue.

1. Some required steps is missing.
To check this, you can follow the instructions shared in this comment:

2. Running out of memory.
This issue can be confimed by monitoring the system status with tegrastats.

sudo tegrastats

Thanks.

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MaskRcnn on Jetson nano

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