Comments (5)
I am not sure why your result is lower, do you train from init or from the pre-trained cls model? could you try again using train_cls_weight and the pre-trained classification model because it is more stable. Sorry for not solving your question.
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I used train_from_init.py
but that already uses pretrained weights, right? i.e. ilsvrc-cls_rna-a1_cls1000_ep-0001.params
.
I'll try to use train_from_cls_weight now. What is the difference between train_from_cls_weight.py
and train_from_cls_weight(ori).py
?
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Yeah. init used your mentioned model weights.
no difference between these two file. (ori) is just the older version. I will check init.py again. Maybe there is some mistake when I update it. Sorry for that.
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Alright, thanks for the clarification!
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I am now able to reproduce your results using train_from_cls_weight.py
, thanks!
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Related Issues (20)
- About the dataloader
- About the dense energy loss
- How can I get the mIOU results? HOT 1
- computer crash HOT 2
- outputs are all black images HOT 1
- Our-RRM-ResNet HOT 3
- Did you use COCO pretrain weight when training DeepLabv2-resnet101 ? HOT 2
- Can people get the result in the paper if they train it from 'init'? HOT 3
- How do you calculate mIoU? HOT 1
- Loss NAN HOT 2
- The Energy loss HOT 2
- Could you share pretrained weights using google drive?
- Would you tell me where is the function of evaluation in the RRM_infer.py? HOT 4
- why I could not use the RRM_10000.pth in PSA project?
- What's the difference between the AAAI'20 work and the extended work? HOT 1
- zero-size array to reduction operation maximum which has no identity HOT 2
- How can I use my dataset to train the model? HOT 1
- permutohedral.hpp:75: Warning 325: Nested struct not currently supported (Neighbors ignored) HOT 1
- 跑通了infer_RRM.py后只有结果图并没有显示关于mIOU指标的结果,请问需要如何操作?
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