Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion
Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion
Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\options
Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\models
Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\images
LogHandlers setup!
Random seed: 563
Dataset: MEF for Multi-exposure Image Fusion.
Dataset [Dataset - train_dataset] is created.
Dataset: MEF for Multi-exposure Image Fusion.
Dataset [Dataset - test_dataset] is created.
in_chans: 1
Pass this initialization! Initialization was done during network defination!
in_chans: 1
Pass this initialization! Initialization was done during network defination!
Training model [ModelPlain] is created.
Loading model for G [Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\models\10000_G.pth] ...
Loading model for E [Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\models\10000_E.pth] ...
Loading optimizerG [Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\models\10000_optimizerG.pth] ...
Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\options Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\models Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\images LogHandlers setup! Random seed: 563 Dataset: MEF for Multi-exposure Image Fusion. Dataset [Dataset - train_dataset] is created. Dataset: MEF for Multi-exposure Image Fusion. Dataset [Dataset - test_dataset] is created. in_chans: 1 Pass this initialization! Initialization was done during network defination! in_chans: 1 Pass this initialization! Initialization was done during network defination! Training model [ModelPlain] is created. Loading model for G [Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\models\10000_G.pth] ... Loading model for E [Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\models\10000_E.pth] ... Loading optimizerG [Model/Infrared_Visible_Fusion\Infrared_Visible_Fusion\models\10000_optimizerG.pth] ...