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)