Pinned Repositories
DenseBox
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
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。
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
MCMOT
Real time one-stage multi-class & multi-object tracking based on anchor-free detection and ReID
MCMOT-ByteTrack
MOTEvaluate
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
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
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)。
YOLOV4_MCMOT
Using YOLOV4 as detector for MCMOT.
CaptainEven's Repositories
CaptainEven/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
CaptainEven/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
CaptainEven/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)。
CaptainEven/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。
CaptainEven/DenseBox
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
CaptainEven/MOTEvaluate
CaptainEven/Depthmap-refinement-upsampling-
Implemention of paper "Spatial-Depth Super Resolution for Range Images" with python
CaptainEven/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
CaptainEven/MonoCameraCalibrate
CaptainEven/PythonRobotics
Python sample codes for robotics algorithms.
CaptainEven/MyNanoDet
Using custom dataset for training.
CaptainEven/CaptainEven
CaptainEven/MyMVE