Pinned Repositories
ACNet
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
clearmot
Using hybrid network can improve the performance of multi-target tracking accurately and clearly.
deepMOT
Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
EFGRNet
Enriched Feature Guided Refinement Network for Detection，ICCV2019.
FairMOT
A simple baseline for one-shot multi-object tracking
hacktoberfest-2021
hacktoberfest 2021
py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
pymot
Objective evaluation of tracker performance with the Multiple Object Tracking (MOT) measures.
SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
SSD
High quality, fast, modular reference implementation of SSD in PyTorch
boy-new-2019's Repositories
boy-new-2019/EFGRNet
Enriched Feature Guided Refinement Network for Detection，ICCV2019.
boy-new-2019/FairMOT
A simple baseline for one-shot multi-object tracking
boy-new-2019/ACNet
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
boy-new-2019/clearmot
Using hybrid network can improve the performance of multi-target tracking accurately and clearly.
boy-new-2019/deepMOT
Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.
boy-new-2019/hacktoberfest-2021
hacktoberfest 2021
boy-new-2019/py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
boy-new-2019/pymot
Objective evaluation of tracker performance with the Multiple Object Tracking (MOT) measures.
boy-new-2019/SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
boy-new-2019/SSD
High quality, fast, modular reference implementation of SSD in PyTorch
boy-new-2019/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
boy-new-2019/tensorflow-serving-yolov3
主要对原tensorflow版本算法进行了网络修改，显示调整，数据处理等细节优化，详细说明了 从本地训练到serving端部署yolov3的整个流程,训练了Visdrone2019无人机数据集, 准确率 较高, 训练工业检测数据集（非80类中的一类），mAP为97.51，FPS在1080上测试15-20帧！
boy-new-2019/video_analyst
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.