Comments (1)
Nice catch!
Fixed.
from tensorflow-deeplab-lfov.
Related Issues (20)
- Adding Momentum, weight decay and learning rate schedule didn't improve the results HOT 1
- Can i use the pretrained model from authors? HOT 2
- Question HOT 1
- Missing segmented images HOT 2
- Different mean IOU on validation set HOT 2
- using my own data
- Decoding .gif segmentation masks
- how to use model after training.
- Terrible evaluate results on modified vgg deeplab_v2 structure
- the predicted results are all 0s HOT 4
- EOFError when using cPickle.load() HOT 3
- Regarding the initialization and image preprocessing
- model.ckpt-init` and `model.ckpt-pretrained`
- deeplab predict a blank segmentation masks
- Model transformation problem HOT 1
- model will diverge after 10000 iterations HOT 2
- How to continue training after a break? HOT 3
- the best performance is 0.607 training from scratch while the pretrained model is 0.670 HOT 2
- the model.ckpt-init is pretrained on coco dataset or not? HOT 3
- model.ckpt-pretrained on val only gets Mean IoU: 0.059 HOT 1
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from tensorflow-deeplab-lfov.