Comments (2)
This problem seems to be resolved with the use of datasets instead of sequences. Even if those datasets use under the hood the python hdf5 opener and not the tailored HDF5IO function of tensorflow-io.
Will update all training scripts and notebooks with this.
from fastmri-reproducible-benchmark.
Solved by #43
from fastmri-reproducible-benchmark.
Related Issues (20)
- maybe remove or update np_metrics HOT 4
- need to specify the scikit-image version in the requirements.txt HOT 2
- Update the introduction notebook
- Add HuggingFace Hub integration to store the models HOT 1
- Regarding sessions of OASIS3 dataset to be downloaded HOT 5
- Error in training PD-net for OASIS3 dataset HOT 14
- Unpin TF version number
- Correct bias setting in MWCNN
- PSNR and SSIM metrics from skimage HOT 1
- Nufft and its adj operator with cropped 320x320 image HOT 8
- Error in training XPDNet HOT 3
- GPU->CPU Memcpy failed HOT 3
- Move to using tensorflow-nufft HOT 3
- Difficulty in running inference for NCPDNet HOT 2
- Getting NaN values when running nc_train.py HOT 8
- question about mask HOT 1
- Time per epoch increasing HOT 1
- Getting error when I run postBuild HOT 1
- How to predict using the XPDNet-brain-af4 model HOT 2
- error
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