Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection

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Hello! It is a great job. What data augmentation methods do you use before training? I noticed that some of the clouds in the 38-cloud datasets are too thin to...

xwhkkk

Each value of output tif from main_test.py is all around 0.5(much bigger than 0.0471) and get all black or white tif by evaluation.m

1

@SorourMo First stage(In this project): 1.1 input: GLOBAL_PATH = 'H:/cloudAndNoncloud/38-Cloud' TEST_FOLDER = os.path.join(GLOBAL_PATH, '38-Cloud_test') test_patches_csv_name = 'test_patches_38-cloud.csv'  2 process: processed by main_tet.py with Cloud-Net_trained_on_38-Cloud_training_patches.h5(417.7MB) 1.3 output: TIF file（384x384pix， 32bits）in...

Bueryoung

Problems about retraining the model

1

Sorry to bother you @SorourMo. Since I only have datasets consist of RGB images now, I have to modify your source code to make it adapt to inputs of three...

lizijue

I wanted to run direct evaluation with main_test.py if thats possible, since I wanted to adapt the code to run on a custom dataset for later. But im getting the...

Abhinav-974