@snadeem.bee17seecs is using a multilayer perceptron (MLP) on Google Colab using the same versions of Python, OpenCV, Tensorflow (2.3.1), and Numpy. There is a 1% difference in accuracy in facial recognition between the Jetson Nano (98%) and Jetson TX2 (99%) even though the same model and test video are used. What could be the cause of differences in accuracy?
@snadeem.bee17seecs - I moved your Deep Learning on Jetson Devices … help needed! - AI & Data Science / Computer Vision & Image Processing - NVIDIA Developer Forums here.
Is this still an issue for you?
Since we have several new software releases, please help to test this on the latest JetPack if this is still a concern.
Thanks.
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