Dec 02, 2019 · This features a simple object detection with an SSD MobileNet v2 COCO model optimized with TensorRT for the NVIDIA Jetson Nano built upon Jetson Inference of dusty-nv. The GitHub repository to ... Nov 01, 2020 · They specify a joint distribution over the observed and latent variables, and approximate the intractable posterior conditional density over latent variables with variational inference, using an inference network 2 3 (or more classically, a recognition model 4) to amortize the cost of inference.
I use this model straight from Keras, which I use with a TensorFlow backend. With the floating point weights for the GPU’s and an 8-bit quantised tflite version of this for the CPU’s and the Coral Edge TPU. (If it is unclear why I don’t use an 8-bit model for the GPU’s, keep on reading, I will talk about this). Running a pre-trained ResNet-50 model on Jetson¶ We are now ready to run a pre-trained model and run inference on a Jetson module. In this tutorial we are using ResNet-50 model trained on Imagenet dataset. We run the following classification script with either cpu/gpu context using python3.
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