Comments (2)
https://github.com/VinAIResearch/MagNet/blob/main/magnet/dataset/base.py#L72 you should make sure that you parsed information for your own dataset correctly. You can take a look in the txt file here https://github.com/VinAIResearch/MagNet/blob/main/data/list/cityscapes/train.txt
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Thank you for answering my question!
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Related Issues (20)
- prepare_cityscapes.sh
- Some problems about Gleason dataset HOT 3
- How to train without using pretrained weight weights? HOT 4
- some details about the results of experiment
- Training details on methods in Table 4 HOT 2
- How to apply train.py trained parameters to test.py? HOT 1
- Some questions about the training process HOT 4
- Patches and refined locations HOT 9
- the epoch_IoU of retrained refinement network can only up to 0.35 on deepglobe dataset HOT 4
- # of required GPUs to reproduce Best outputs HOT 10
- RuntimeError: shape '[1, 1, -1, 508, 508]' is invalid for input of size 16451136 HOT 1
- input to the model HOT 1
- RuntimeError: shape '[1, 1, -1, 508, 508]' is invalid for input of size 16451136 HOT 2
- a small question about Deepglobe dataset HOT 1
- Why the input_size of backbone is set to the number of 508×508 on the DeepGlobe dataset experiment? HOT 1
- About the result of deepglobe dataset HOT 5
- Can this code run on windows? HOT 1
- missing file "hrnet_ocr_w18_train_256x128_sgd_lr1e-2_wd5e-4_bs_12_epoch484.yaml" HOT 2
- the inputs of the "refinement model" are different between train.py and test.py HOT 6
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