| import tqdm | |
| import dataset4eo as eodata | |
| import numpy as np | |
| # load data | |
| dataset = eodata.StreamingDataset(input_dir="optimized_enmap_corine_dataset", num_channels=202, channels_to_select=[0,1,2], shuffle=False, drop_last=True) | |
| max_num = 0 | |
| all_set = set() | |
| for i in tqdm.tqdm(range(len(dataset))): | |
| sample = dataset[i] | |
| label = sample["segmentation_map"] | |
| label_set = np.unique(label) | |
| all_set.update(label_set) | |
| max_num = len(label_set) if max_num < len(label_set) else max_num | |
| print(label_set) | |
| print(f"max # of labels: {max_num}") | |
| print(f"all # of labels: {len(all_set)}") | |
| print(all_set) |