tensorrt

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

PyTorch ,ONNX and TensorRT implementation of YOLOv4

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.

Implementation of popular deep learning networks with TensorRT network definition API

An easy to use PyTorch to TensorRT converter

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

Deep learning gateway on Raspberry Pi and other edge devices

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

HyperPose: Fast and Flexible Human Pose Estimation

Add bisenetv2. My implementation of BiSeNet

Fast and accurate object detection with end-to-end GPU optimization

TensorFlow models accelerated with NVIDIA TensorRT

Real-time pose estimation accelerated with NVIDIA TensorRT

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

TensorRT for Yolov3

This repo is implemented based on detectron2 and centernet

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

A simple, efficient, easy-to-use Nvidia TensorRT wrapper for CNN, support c++ and python.

Image classification with NVIDIA TensorRT from TensorFlow models.

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

YOLOv3 implementation in TensorFlow 2.3.1

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

A library for high performance deep learning inference on NVIDIA GPUs.

Adlik: Toolkit for Accelerating Deep Learning Inference

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.