Comments (4)
1.论文由于我的拖延症,和不想写论文的心里,被无限期延迟了 = =
2.模型的参数量应该是不变的,应该是pth里面存入了和模型无关的参数,可以尝试一下转onnx和转caffe,生成的model文件大小是最干净的。
from centerx.
嗯嗯,好的,谢谢。再请问一下,我看代码中好像没有续训练的选项,请问是这样的吗?
from centerx.
我的代码中没有,但是detectron2本身包含这个功能,
印象中没有错的话,只需要在yaml里面指定一下续训练的weights,然后outputs不变,并在运行指令中加入--resume就可以了。
详情还是请看detectron2的官方说明文档。
如果要保存中间model 的话,可以在yamls中加入一下的字段
SOLVER:
CHECKPOINT_PERIOD: 2 (每2个epoch数量保存一次模型,具体可以根据你的实际需求调整)
from centerx.
嗯嗯,好的,谢谢啦~
from centerx.
Related Issues (20)
- 导出onnx之后如何转trt HOT 1
- 请问有没有训练好的权重模型?
- 自定义数据集如何使用该工程 HOT 1
- TypeError: __init__() takes 1 positional argument but 4 were given HOT 1
- TypeError: _write_metrics() missing 1 required positional argument: 'data_time' HOT 2
- AP 大于1?
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- 自定义数据集
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- issues HOT 3
- SWA in vanilla Detectron2 HOT 2
- 小白提问请问这个有人体关键点检测嘛
- whyCUDA out of memory. Tried to allocate 130.00 MiB (GPU 1; 7.80 GiB total capacity; 5.91 GiB already allocated; 33.56 MiB free; 6.09 GiB reserved in total by PyTorch)
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