deepof:基于DeepLabCut的数据分析软件包,包括姿势估计和表示学习介导的行为识别

上传者: 42163404 | 上传时间: 2023-04-06 01:55:33 | 文件大小: 5.97MB | 文件类型: ZIP
深层OF 用于使用从自由移动的动物的视频中提取的时间序列进行后处理的套件 您可以使用此包从时间序列中提取预定义的主题(例如时区,攀岩,基本的社交互动),也可以将数据嵌入到序列感知的潜在空间中,以在无人监督的情况下提取有意义的主题方法! 两者都可以在包内使用,例如,以自动比较用户定义的实验组。 我该如何开始? 安装: 打开一个终端(安装了python> 3.6)并输入: pip install deepof 在我们深入研究之前: 首先,为您的项目创建一个文件夹,其中至少包含两个子目录,分别称为“视频”和“表”。 前者应包含您正在使用的视频(原始数据或从DLC获得的带有标签的视频); 后者应该具有您从DeepLabCut获得的所有跟踪表,格式为.h5或.csv。 如果您不想自己使用DLC,请不要担心:一个兼容的小鼠预训练模型将很快发布! my_project -- Videos ->

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