Comments (3)
zhengyang-wang
commented on July 23, 2024
Obviously, some modifications were made on my code. Since then I cannot answer your question.
Why does the training process involve the computation of mIoU?
In my case, the original setting for PASCAL works well for Cityscapse. Increasing the size of training patches and changing the learning rate accordingly can result in improved performance.
from deeplab-v2--resnet-101--tensorflow.
myhooo
commented on July 23, 2024
Ok. Thank you for your reply. I think I should learn your code more carefully. ^_^
from deeplab-v2--resnet-101--tensorflow.
zhengyang-wang
commented on July 23, 2024
You are welcome to ask questions if any part of my code appears hard to understand. Your questions may help others. Thanks.
from deeplab-v2--resnet-101--tensorflow.
Related Issues (20)
- Optimizer choice: Adam VS SGD HOT 1
- Another dataset HOT 4
- Problem with pre-trained model HOT 1
- Results for VOC2012 are not correct HOT 3
- Training Cityscapes - Changes in label_utils.py HOT 1
- pretrain model download
- How to process the outline of the object in Segmentation label images? HOT 1
- The problem about paper "Smoothed Dilated Convolutions for Improved Dense Prediction". HOT 1
- Which part of your code corresponds to the CRF in Deeplab V2? HOT 1
- How to predict dynamically from graph HOT 1
- A question about paper "Smoothed Dilated Convolutions for Improved Dense Prediction" HOT 2
- NotFoundError (see above for traceback): Tensor name HOT 3
- only can train 2images HOT 1
- Can I input 6 channel images for training? HOT 2
- how about results(mIoU) on validation set and test set HOT 2
- Hi, could you please implement it on cityscape? HOT 3
- how about the hyperparms of cityscape
- ABOUT BATCHSIZE WHEN TRAINING ON CITYSCAPES HOT 1
- It is OOM. Try reducing input_height and input_width. HOT 1
- resnet101 ------- miou 70.7% HOT 2
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