Comments (4)
CaptainEven
commented on June 26, 2024
The problem solved by return a dict from custom Dataset.
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CloudWalking0
commented on June 26, 2024
The problem solved by return a dict from custom Dataset.
Hello, I have met the same problem when trained on custom dataset. Would you mind providing more info about this issue?
Thank you very much~
from simsiam.
CloudWalking0
commented on June 26, 2024
The problem solved by return a dict from custom Dataset.
Hello, I have met the same problem when trained on custom dataset. Would you mind providing more info about this issue?
Thank you very much~
The problem solved by replace "for i, (images, _) in enumerate(train_loader):" with "for i, images in enumerate(train_loader):"
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wmrenr
commented on June 26, 2024
what should I do if trained on custom dataset ?
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Related Issues (20)
- loss question HOT 4
- Single GPU Training HOT 3
- Loss descent slowly HOT 1
- Checkpoints with 50 epochs HOT 1
- difference between byol in table19 and simsiam? HOT 1
- larger batch size with linear scale does not work
- checkpoint for epoch 800
- Slow convergence with SGD linear evaluation HOT 1
- SyncBatchnorm usage in main_lincls.py HOT 2
- About the projection and prediction head dimension configs
- Loss collapse during training HOT 1
- About the shape of image[0] and image[1] HOT 1
- Pre-trained weights for SimCLR, MoCov2, BYOL, SwaV HOT 1
- The value of loss function nn.CosineSimilarity is negative HOT 1
- self.encoder.fc in builder.py
- which vector is used in experiment (the vector atfer predictor or after projection)?
- Why are training and testing so slow HOT 2
- Could not find any class folder
- Loss increasing
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