Python-无监督人员重新识别的自下而上聚类方法

【文件属性】：
文件名称：Python-无监督人员重新识别的自下而上聚类方法
文件大小：15.58MB
文件格式：ZIP
更新时间：2022-08-30 20:56:22
Python开发-机器学习 无监督人员重新识别的自下而上聚类方法

【文件预览】：
Bottom-up-Clustering-Person-Re-identification-master
----.gitignore(4KB)
----README.md(2KB)
----run.sh(278B)
----examples()
--------cuhk03d_init_-1.0.pickle(470KB)
--------market1501_init_-1.0.pickle(828KB)
--------DukeMTMC-VideoReID_init_0.6.pickle(11MB)
--------DukeMTMC-VideoReID_init_0.7.pickle(11MB)
--------DukeMTMC-VideoReID_init_0.2.pickle(11MB)
--------cuhk03d_init_1.0.pickle(470KB)
--------DukeMTMC-VideoReID_init_-1.0.pickle(11MB)
--------DukeMTMC-VideoReID_init_0.3.pickle(11MB)
--------DukeMTMC-VideoReID_init_0.8.pickle(11MB)
--------mars_init_-1.0.pickle(15.26MB)
--------market1501_init_1.0.pickle(828KB)
--------mars_init_1.0.pickle(15.35MB)
--------DukeMTMC-VideoReID_init_0.9.pickle(11MB)
--------DukeMTMC-VideoReID_init_0.5.pickle(11MB)
----LICENSE(1KB)
----data()
--------.gitkeep(0B)
----reid()
--------utils()
--------metric_learning()
--------evaluators.py(4KB)
--------evaluation_metrics()
--------exclusive_loss.py(1KB)
--------datasets()
--------models()
--------trainers.py(3KB)
--------__init__.py(297B)
--------dist_metric.py(926B)
--------feature_extraction()
--------bottom_up.py(11KB)
----run.py(3KB)
----logs()
--------.gitkeep(0B)