Comments (1)
You can just use InitializationNotebook.ipynb. You'd make a new video directory with just the train/val videos and in the notebook you specify the directory you stored them in. Also make sure you specify the right locations for the weights (the .pt model files, either the inference models found on the release page for this repo, or the model found in the output of your own train/test process).
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Related Issues (20)
- The segmentation code is not working; there is a problem in tensor dimension HOT 3
- 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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