496 Open source projects that are alternatives of or similar to onnx_tensorrt_project

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Push-pull streaming and Web display of YOLO series

This is a code repository for pytorch c++ (or libtorch) tutorial.

Implementation of popular deep learning networks with TensorRT network definition API

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

Go bindings for Darknet (YOLO v4 / v3)

《深度学习与计算机视觉》配套代码

Gluon to PyTorch deep neural network model converter

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2

ODAM - Object detection and Monitoring

State-of-the-art 2D and 3D Face Analysis Project

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

Gluon to PyTorch deep neural network model converter

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

mxnet implementation of yolo and darknet2mxnet converter

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Visualizer for neural network, deep learning, and machine learning models

No description or website provided.

arcface and retinaface model convert mxnet to onnx.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Collection of Object Detection and Segmentation Pipelines🛸🚀

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

Convert JSON annotations into YOLO format.

using yolox+deepsort for object-tracking

php ffi darknet

一个 C++ 版本的 YoloV5 封装库

Pendeteksian rambu lalu lintas khas Indonesia menggunakan dataset custom dan menggunakan algoritma Deep Learning You Only Look Once v4

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

C++ library based on tensorrt integration

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

MXNet implementation of Non-Local and Squeeze-Excitation network

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

🌌 OpenVTuber-虚拟アイドル共享计划 An application of real-time face and gaze analyzation via deep nerual networks.

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.

baidu contest, url: http://dianshi.baidu.com/gemstone/competitions/detail?raceId=17

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

Automatic icon colorization using deep convolutional neural networks. "Towards Icon Design Using Machine Learning." In Stanford CS229, Fall 2017.

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

Conversion of yolo from DarkNet to Caffe

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Deploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices

🍉 移动端TNN部署学习笔记，支持Android与iOS。

Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux

Example of using YOLO v4 with OpenCV, C++ and Python

MXNet OCR implementation. Including text recognition and detection.

CCFDF rebar detection

rotated bbox detection. inspired by https://github.com/hukaixuan19970627/YOLOv5_DOTA_OBB, thanks hukaixuan19970627.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

BiLSTM_CRF中文实体命名识别

자율주행 AI 안내견 : AIGO - 횡단보도 가이드

The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format

YOLOv5 in PyTorch > ONNX > RKNN

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.