Closed 3477026455 closed 3 months ago
output image like this
@3477026455 it is a gradient collapse due to overfitting. I usually only train on less than 500 epochs, or slower learning rate, unless you have many training data. (An observation i had few years ago, if the room-boundary attention is learnt too quickly, the room type detection which depends on it can lead to gradient collapse showing all black)
use command "python -m src.dfp.train --batchsize=4 --lr=5e-4 --epochs=3000 --logdir=log/store --modeldir=model/store" to train a model,when I use the command "python -m src.dfp.deploy --image resources/123.jpg --weight log/store/G --postprocess --colorize --save output.jpg --loadmethod log", the output image only display the segmentation of wall 、window and door.why is that ?