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License: MIT License
Implementation of the paper "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection" in TensorFlow.
License: MIT License
Hi, I have a dataset of about 30,000 images for training. It take for ever to load them. Is there other way which is faster to load this amount of data? thanks
What is threshold for?
I am not seeing any differences by modifying it
I trained for 100 epochs as a test on the train data from DUTS using the duts train script but I got an error after running the predict file
ValueError: Mismatch between expected batch size and model output batch size. Output shape = (7, 1, 256, 256, 1), expected output shape = shape (1, 1, 256, 256, 1)
using tf 2.1
Dear sir
Thank you for this simple and great implementation of the u2net architecture
I work in a cell instance segmentation project . I have prepared my data in two folders, the first one is the cell images the second one is the mask PNG images created from rle annotations
I have run the training for 1000 epochs but when I want to predict on test image I got black image I can not see the mask
I am trying to train using DUT dataset. after I ran code U2-net.py nothing gets output. I am expecting output of learning, loss and current number of iterations. Any idea? thanks
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