Hello, I’m using TLT with MaskRCNN to achieve a lane detection model, but I’d like to run this model in the Jetson Nano platform. However, I’m getting very low FPS (better result was 2FPS). I followed this tutorial to understand the training process: https://developer.nvidia.com/blog/training-instance-segmentation-models-using-maskrcnn-on-the-transfer-learning-toolkit/
I tried a different number of layers (resnet10, resnet18, and resnet50) and different resolutions, but the performance is still low.
I would like to know if there are other parameters in the spec file that could help me improve the performance of MaskRCNN model on Jetson Nano. My spec file looks very much like the one in the link I mentioned above.
I’m also using DeepStream SDK for inference. Any help would be great. Thanks in advance.