Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection
Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection copied to clipboard
A semantic segmentation CNN for cloud detection
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...
@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' ![csv](https://github.com/SorourMo/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection/assets/22030631/cbcba65a-83a7-4e9f-aaf3-0229aaa41e19) 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...
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...
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...