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@yuqiangchu hello， I want to ask you if you deal with this question?
> 你好，我也是遇到了相同的问题，请问你找到解决的办法了吗？
Hey,guys, I meet a difficult problem: I set the '-- c' parameter to the path of 'resnet101_v1c. pth' and attempt to run train.py, but encounter the following error: ruamel. yaml....
Hey,guys, I meet a difficult problem: I set the '-- c' parameter to the path of 'resnet101_v1c. pth' and attempt to run train.py, but encounter the following error: ruamel. yaml....
> How about reading the README? You can use the model [here](https://github.com/dontLoveBugs/SupervisedDepthPrediction). Hey,guys, I meet a difficult problem: I set the '-- c' parameter to the path of 'resnet101_v1c. pth'...
> Hi, thank for your share. I meet the bug when I run the code: "python3 -m flowmap.overfit dataset=images dataset.images.root="/xxx/flowmap/mipnerf360_garden"" Do you have any method to solve it?  ...
> > > I got the same error-message as above, after that I commentd the "SLURMEnvironment" in overfit.py, then it seems stated work but got GPU out-of-memory error-message: > >...
> OK got it I run the following command and still got cuda-memory-error, could you take a look Thanks! > > command: `CUDA_VISIBLE_DEVICES=0 python -m flowmap.overfit dataset=images dataset.images.root=./datasets/flowmap/co3d_bench/ ` >...
So did I , waiting for the answers.
> You can try appending `+experiment=low_memory` to the command you use to run FlowMap. However, FlowMap isn't designed to run on video sequences of many hundreds or thousands of frames....