hang-h1's Stars
BVLC/caffe
Caffe: a fast open framework for deep learning.
ultralytics/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
pjreddie/darknet
Convolutional Neural Networks
openvinotoolkit/open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
ayooshkathuria/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
tianzhi0549/FCOS
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
ZQPei/deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
Zhongdao/Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
WongKinYiu/PyTorch_YOLOv4
PyTorch implementation of YOLOv4
theAIGuysCode/yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Sharpiless/Yolov5-deepsort-inference
Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中
Sharpiless/Yolov5-Deepsort
最新版本yolov5+deepsort目标检测和追踪,能够显示目标类别,支持5.0版本可训练自己数据集
bubbliiiing/yolov7-pytorch
这是一个yolov7的库,可以用于训练自己的数据集。
shaoshengsong/DeepSORT
support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++
XinJCheng/CSPN
Convolutional Spatial Propagation Network
wenyyu/Image-Adaptive-YOLO
The code for "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI 2022)"
google-research/ssl_detection
Semi-supervised learning for object detection
uoip/KCFpy
Python implementation of KCF tracking algorithm
doreamon-design/clash
A rule-based tunnel in Go.
antonilo/unsupervised_detection
An Unsupervised Learning Framework for Moving Object Detection From Videos
Chasel-Tsui/mmdet-rfla
ECCV22: RFLA
aovoc/nnieqat-pytorch
A nnie quantization aware training tool on pytorch.
pprp/voc2007_for_yolo_torch
:punch: Prepare VOC format datasets for ultralytics/yolov3 & yolov5
Rex-LK/tensorrt_learning
uml-marine-robotics/MassMIND
LWIR image segmentation dataset for maritime environment
Chenastron/MTUNet
Hiwyl/yolov5_onnx2caffe
yolov5 deploy 3559
mahxn0/Yolov5-Hisi3559a-Train
yolov5训练转onnx转caffe工程 直接可用
moradisaed/MS_PCM_CPP
opencv implementation of Multi-Scale patch-based contrast measure for small infrared target detection
biao321/data_prep
适用于目标检测VOC格式的数据增广库,包含各种像素级增广方式和形变增广,如:crop、rotation、flip、tail、滑动窗口、yolov4的mosaic等