Implementation Thundernet

[ICCV2019] Robust Multi-Modality Multi-Object Tracking

darknet with GIoU

TensorRT前向、插件、模型转换、量化做封装，简化，易于使用和学习或者工程化

Visual tracking library based on PyTorch.

Distance-IoU Loss into YOLO v3

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

Lightweight turnkey solution for AI

tensorrt5 , centernet , centerface

object detection using deep learning and multi-object tracking

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

detectron2 windows build

Run YoloV3 with the newest TensorRT6.0 at 37 fps on NVIIDIA 1060.

A YAML parser and emitter in C++

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

Joint Detection and Embedding for fast multi-object tracking

YoloV3 deploy with windows

adding thread and gpu allocation

A Simple and Versatile Framework for Object Detection and Instance Recognition

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

Pedestrian Detection Papers

CCPD data for YOLO v3

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

Code for "Towards Segmenting Anything That Moves"

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

Reimplement RetinaFace use C++ and TensorRT