crack_segmentation
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This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
I want to cite your work on github in my paper related to UAV bridge inspection, but the weight of the pretrained weight of resnet is invalid, please check it...
in line number 30 use this code to fix it def cuda(x): return x.cuda(non_blocking=True) if torch.cuda.is_available() else x
use this for inference :- python inference_unet.py -img_dir ./test_images -model_path ./model.pth -model_type resnet101 -out_viz_dir ./viz_result -out_pred_dir ./pred_result -threshold 0.5
Rissbilder_for_Florian dataset is in your data,but I can't find its source. Can you show it? Thank you very much.