suzhr3

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

ScaledYOLOv4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Yolo-Fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

PyTorch_YOLOv4

PyTorch implementation of YOLOv4

yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

yolov3-channel-and-layer-pruning

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

MobileNet-YOLO

A caffe implementation of MobileNet-YOLO detection network

FCHD-Fully-Convolutional-Head-Detector

Code for FCHD - A fast and accurate head detector

kmeans-anchor-boxes

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe

R-CenterNet

detector for rotated-object based on CenterNet/基于CenterNet的旋转目标检测

mobilenetv2-yolov3

yolov3 with mobilenetv2 and efficientnet

libdmtx

libdmtx Library

HRank

Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

DeepLearningNote

this is all of my code and data with my deep learning note

darknet_face_with_landmark

加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理

deepIQA

NR and FR IQA models based on Deep Convolutional Neural Networks

darknet2caffe

Convert darknet weights to caffemodel

HRankPlus

An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map

object-detection-anchors

Tips on how to find suitable object detection anchors

PyTorch-YOLOv4

yolov3-prune

prune filters and layers for yolov3