context-rcnn-d2:“上下文R-CNN的实现

上传者: 42115513 | 上传时间: 2022-06-08 14:22:42 | 文件大小: 31KB | 文件类型: ZIP
上下文R-CNN 在对象检测库的顶部,。 此实现利用了Detectron2开箱即用的许多功能:多种主干架构选项(例如C4,FPN),使用COCO文件轻松设置,轻松进行分布式培训,Tensorboard日志记录,Pytorch本机混合精度培训等。 环境设定 在开发过程中使用了Detectron2 0.3,Pytorch 1.6和CUDA 10.1。 欢迎使用PR处理新版本的PR,尤其是Detectron2。 对于绝对有效的环境- conda create -n contextrcnn python=3.7 conda activate contextrcnn pip install -r requirements.txt -f \ https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/index.html

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