Convert popular Deep learning models to TensorRT using C++ API (preferably)
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Updated
Mar 31, 2021 - C++
Convert popular Deep learning models to TensorRT using C++ API (preferably)
Using TensorRT integration in Tensorflow to perform CNN inference.
Tensorrt implementation for Yolo
Image classification with NVIDIA TensorRT from TensorFlow models.
This repo consists of model optimization using TensorRT package.
Implementation of popular deep learning networks with TensorRT network definition APIs
Yolo v4 Object Detection Model
In this repository, you will receive information (notebooks) of TensorFlow model optimization using TensorRT and TF-Lite. You will be able to: Understand the fundamentals of optimization using TF-TRT and TF-Lite, deploy deep learning models by reduced precision (FP32, FP16 and INT8) on the inference stage and calibrate the weights
NAIL summer internship project creating a relatable visual demonstration of AI for visitors to the AI Lab.
The pupose of this project is to do the inference of models YOLOv3 and YOLOv3-Tiny using the the TF-TRT (TensorFlow-TensorRT) Python API with TensorFlow v1.15
Image classification using deep learning models with activation map visualisation and TensorRT support
YOLOX TensorRT object detection
Face mask detector for COVID-19 monitoring implemented on a Jetson Nano. The entire framework performs real-time at a 7 Hz.
Test of tensorRT on a custom net using jetson devices
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