Comments (1)
LitMSCTBB
commented on August 16, 2024
As seen from the printing of EXTERNAL_TEST ['0X1AADD51FAA94E4E.avi', '0X1AB987597AF39E3B.avi', '0X1ABAD3C70E6D0F27.avi', '0X1ABE578AF99E8F3E.avi', '0X1ACB73BE8C1F2C0C.avi', '0X1ACC87A912A57EDA.avi', '0X1AD23DC4055A4B6A.avi', '0X1AD3CDEC841DA50.avi', '0X1ADDEA184822F38E.avi', '0X1ADEAFA4D59610C8.avi', 'avi'], you likely have some subfolder called avi in your videos folder, and the dataset initialization is treating it as a video file thus leading it to believe that the frame height and width is 0. Move the folder out and you should be good.
This part is the culprit:
if self.split == "EXTERNAL_TEST":
self.fnames = sorted(os.listdir(self.external_test_location))
Should be a simple fix to only look for files that end in ".avi". Can mention this in a pull request in the future.
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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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