CaptainEven/DenseBox

Stars
94
Rank 356,972 (Top 8 %)
Language
Python
License
MIT License
Created over 5 years ago
Updated about 4 years ago

CaptainEven/DenseBox

CaptainEven

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Implemention of Baidu's DenseBox used for multi-task learning of object detection and landmark(key-point) localization 用PyTorch实现了百度的DenseBox并针对任意宽高比矩形(不仅限于方形)的目标检测做了优化，不仅可以输出关键点的热力图(heatmap)而且可以输出每个bbox对应关键点坐标

Vehicle-Car-detection-and-multilabel-classification

使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

MCMOT

Real time one-stage multi-class & multi-object tracking based on anchor-free detection and ReID

RepNet-MDNet-VehicleReID

Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现

FairMOTVehicle

A fork of FairMOT used to do vehicle MOT.用于跟踪车辆的多目标跟踪, 自定义数据进行单类别多目标实时跟踪

VideoCaption

视频的文本摘要(标注)，输入一段视频，通过深度学习网络和人工智能程序识别视频主要表达的意思(Input a video output a txt decribing the video)。

FaceRecognition

Face recognition using triplet loss, implementing FaceNet with pytorch.人脸识别项目，提供一个小型数据集用作验证，使用三元组损失函数(Triplet loss)提升准确率和泛化能力，对FaceNet进行了一种实现。

MCMOT-ByteTrack

YOLOV4_MCMOT

Using YOLOV4 as detector for MCMOT.

MOTEvaluate

SFM_OpenCV

A SFM project implemented with Opencv

ByteTrack-MCMOT-TensorRT

MCMOT TensorRT deployment(C/C++) based on ByteTrack.

Depthmap-refinement-upsampling-

Implemention of paper "Spatial-Depth Super Resolution for Range Images" with python

SFM_PMVS_3DReconstruct_python

SFM PMVS 3D sparse to dense reconstruct in python.

BinoCameraCalibrate

Binocular camera calibration and rectification using OpenCV.

Algorithms

Algorithms's implementions for testing 一些机器学习，统计，三维重建等算法实现和测试

PyScripts

ExposureFusionPy

Implementing ExposureFusion algorithm using OpenCV and Numpy in Python3.

MonoCameraCalibrate

ExposureFusionCpp

TestKalman

StereoCalibrateRectify

MonoDepthV1

PytorchToCaffe

MyNanoDet

Using custom dataset for training.

TestOpenCVCuda

Test openCV with CUDA

MonoDepthV2

Jupyter Notebook

SelfSuperviseAidedBlindIQA

SelfSuperviseAidedBlindIQA

Stereo3DReconstruct

MyHDRUNet

MyEnlightenGAN

My_CRNN

ColmapMVSMy

MySlamExperiments

RealChineseLiscensePlateGenerator

CaptainEven

MyMVE