Even
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，RepNe...
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
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...
Depthmap-refinement-upsampling-
Implemention of paper "Spatial-Depth Super Resolution for Range Images" with python
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)。