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
Jetbot Voice to Action Tools is a set of ROS2 nodes that utilize the Jetson Automatic Speech Recognition (ASR) deep learning interface library for NVIDIA Jetson
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
Convert model implementation from Tensorflow to TensorRT engine.
DNN Execution Engine
엣지 컴퓨팅과 인공지능을 이용한 공유 킥보드 인도주행 경고 시스템 (Edge AI applied sidewalk warning system for public scooter)
Face Antispoofing using variable Texture, eye blinking and speech pattern based detection
Function unified C/C++ API for running Python functions on desktop, mobile, web, and in the cloud. Register at https://fxn.ai
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