上一篇我们介绍了./tools/train.py的代码,这个文件是我们运行mmdet最开始的地方,他包含了一些训练前的准备工作,比如实例化模型和数据集等等,./tools/train.py运行到最后进入到了train_detector这个函数,这个函数就在我们今天要讲解的./mmdet/apis/train.py文件中。 上一篇的链接: 伍德曼:MMDet源码解读(
parser.add_argument('--DEBUG', type=bool, default=True, help='debug mode') 1. 代码中间加入分布式环境变量: if args.DEBUG: args.launcher = 'pytorch' os.environ['LOCAL_RANK'] = str(0) os.environ['RANK'] = str(0) os.environ['WORLD_SIZE'] = str(get_dist_info()[1]) os.environ[...
I ran this tutorial (https://github.com/open-mmlab/mmdetection/blob/3.x/demo/MMDet_InstanceSeg_Tutorial.ipynb) without changing any code, but I ran into a problem when I get to runner.train(), how should I fix it? mm-assistantbotassignedhhaAndroidJan 10, 2023 ...
scope='mmdet') train_cfg = dict( type='EpochBasedTrainLoop', max_epochs=10, val_interval=1,scope='mmdet') val_cfg = dict(type='ValLoop',scope='mmdet') test_cfg = dict(type='TestLoop',scope='mmdet') param_scheduler = [ dict(type='LinearLR', start_factor=0.1, by_epoch=False, ...
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