Comments (2)
davidtvs
commented on June 14, 2024
Hi,
I never tried training with full resolution images so I don't really know what is a normal score. I can give it a try but don't really know when I'll be able to
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LinRui9531
commented on June 14, 2024
Hello!Thanks for your code.i trained on cityscapes for epoch=300,but the best model is when epoch210 ,miou is 50.00%.The question is, is it because the size of the data set I use is the original size not 1024*512
I also trainede on Cityscape with size of 1024*512. And my best model is when epoch 220,miou 51.58%.
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Related Issues (20)
- Ignore index is not looping over indices HOT 1
- dataset folder structure HOT 2
- test IoU is nan HOT 1
- How do I save the segmented images ? HOT 2
- Training with two classes HOT 3
- Transfer learning with a different number of classes as in original HOT 2
- Question about the params and FLOPs of ENet HOT 2
- Problems while using different dataset HOT 5
- the question with output HOT 1
- the question about output shape HOT 9
- save all the images HOT 2
- a question about UpsamplingBottleneck block HOT 4
- generates iou greater than 1 looks like a wrong formulation!
- the question about torch.load() HOT 3
- question about testing the model on an image HOT 1
- Skip connections HOT 1
- Unable to use pre-trained models HOT 1
- Cannot run main.py in test mode - 1only batches of spatial targets supported (3D tensors) HOT 2
- Pytorch-ENet to ONNX failed due to unsupported max_unpool2d HOT 2
- custom dataset tutorial
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