Comments (2)
Reviving this issue after switching to a Google Cloud Platform VM running Debian 10, with 16 GB of memory and 20 GB of disk space. echonet segmentation --save_video
no longer results in the error displayed above anymore, but still no videos are present in the output directory.
Additionally, when running echonet video
, the process just prints "Killed" and exits.
from dynamic.
For the initial issue, I suspect that there is some sort of issue with the Pytorch installation (perhaps a mismatch with the CUDA version).
For the issue with code being killed, this is likely due to a shortage of memory (GCP will kill jobs that exceed memory constraints). You can reduce the batch size or increase the memory allocation.
from dynamic.
Related Issues (20)
- The segmentation code is not working; there is a problem in tensor dimension HOT 3
- Segmentation for one given video HOT 1
- Trace fails sanity checks during export to lite for android : torch.jit.trace()
- Segmentation Mask Identification
- dataset dicom image and mask HOT 1
- InitializationNotebook.ipynb HOT 2
- Possible confidence interval issue HOT 1
- Quick Question on VolumeTracings.csv HOT 2
- Bad Segmentation Masks on Some Data HOT 1
- ConvertDICOMtoAVI for own Dataset
- Segmentation setup problems
- Calculate EF from Masks or Keypoints HOT 2
- RuntimeError: Given groups=1, weight of size [45, 3, 1, 7, 7], expected input[1, 204, 3, 112, 112] to have 3 channels HOT 2
- Echonet HOT 7
- How to transfer the labels in th CSV file to image format?
- I want to ask how to test this model on my own dataset?
- About how the EF score in FileList.csv is given
- Is it possible to get the trained best.pt? HOT 2
- How to use the best model in dynamic v1.0.0
- Can't access the dataset HOT 1
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