Comments (11)
IzabelaKrupinska
commented on July 17, 2024
2
Thank You very much for fast reply 😊 I am training the network too but I am waiting for yours model to compare them and check 😊
Best wishes,
Z poważaniem,
Izabela Krupińska
Od: Sai Raj Kishore
Wysłano: piątek, 29 listopada 2019 19:01
Do: sairajk/PyTorch-Pyramid-Feature-Attention-Network-for-Saliency-Detection
DW: IzabelaKrupinska; Mention
Temat: Re:[sairajk/PyTorch-Pyramid-Feature-Attention-Network-for-Saliency-Detection]Pre-trained model (#3)
Hi @IzabelaKrupinska, I have been busy quite some time. I will try to upload them by the next week. And yes, I trained it on the DUTS-TR dataset.
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sairajk
commented on July 17, 2024
Hi @IzabelaKrupinska, I have been busy quite some time. I will try to upload them by the next week. And yes, I trained it on the DUTS-TR dataset.
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creabob
commented on July 17, 2024
hello ,hava u provided your pre-trained model?
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creabob
commented on July 17, 2024
Hi @IzabelaKrupinska, I have been busy quite some time. I will try to upload them by the next week. And yes, I trained it on the DUTS-TR dataset.
waiting for your pre-trained model ,and thank u for your work
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dragen1860
commented on July 17, 2024
Hi, looking forward to the pretrained model!!!
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dragen1860
commented on July 17, 2024
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xuexuetong1993
commented on July 17, 2024
Hi, looking forward to the pretrained model!!!
@sairajk
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woojaekim
commented on July 17, 2024
Hi, Im looking forward to the pre-trained model
@sairajk
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sairajk
commented on July 17, 2024
Hi all, the pre-trained weights (trained on DUTS-TR) are now made available.
@IzabelaKrupinska @creabob @dragen1860 @xuexuetong1993 @woojaekim
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woojaekim
commented on July 17, 2024
Many Thanks! @sairajk
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mayuri2307
commented on July 17, 2024
Hi all, the pre-trained weights (trained on DUTS-TR) are now made available.
@IzabelaKrupinska @creabob @dragen1860 @xuexuetong1993 @woojaekim
could you let me know where it is? while running train.py, I am having the issue that
'./models/alph-0.7_wbce_w0-1.0_w1-1.15weights/best_epoch-000_mae-0.5193_loss-1.0834.pth"
How can I resolve this?
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Related Issues (20)
- Training set Images HOT 1
- Problem with inference.py HOT 1
- Output images HOT 3
- Question about Image size and ratio HOT 2
- File name of the out put images HOT 4
- Detailed questions HOT 1
- Have you tested the trained model on public dataset? HOT 1
- Implementation different from the paper HOT 1
- Question about RetinaNet FPN implementation HOT 1
- How can I save the mask image of test? HOT 2
- epoch HOT 1
- Round off mask removing relavant areas HOT 2
- TypeError: unsupported operand type(s) for %: 'int' and 'NoneType' HOT 4
- Error connect ECONNREFUSED 127.0.0.1:13246
- a little wrong~
- Hi, I'm getting some problems with the inference code. The mask saliency and predictions generated are all black. I think the error occur with the tensor matrix. Did you have any problems like that? HOT 2
- ValueError: num_samples should be a positive integer value, but got num_samples=0 HOT 1
- how to see all test image results after run the inference.py? HOT 2
- Data/DUTS-TE-Mask HOT 2
- train.py HOT 1
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