from building_footprint_segmentation.helpers.callbacks import CallbackList, TensorBoardCallback
where_to_log_the_callback = r"path_to_log_callback"   
callbacks = CallbackList()
# Ouptut from all the callbacks caller will be stored at the path specified in log_dir
callbacks.append(TensorBoardCallback(where_to_log_the_callback))

from building_footprint_segmentation.helpers.callbacks import CallbackList, Callback
class CustomCallback(Callback):
    def __init__(self, log_dir):
        super().__init__(log_dir)
where_to_log_the_callback = r"path_to_log_callback"   
callbacks = CallbackList()
# Ouptut from all the callbacks caller will be stored at the path specified in log_dir
callbacks.append(CustomCallback(where_to_log_the_callback))

import glob
import os
from image_fragment.fragment import ImageFragment
# FOR .jpg, .png, .jpeg
from imageio import imread, imsave
# FOR .tiff
from tifffile import imread, imsave
ORIGINAL_DIM_OF_IMAGE = (1500, 1500, 3)
CROP_TO_DIM = (384, 384, 3)
image_fragment = ImageFragment.image_fragment_3d(
    fragment_size=(384, 384, 3), org_size=ORIGINAL_DIM_OF_IMAGE
)
IMAGE_DIR = r"pth\to\input\dir"
SAVE_DIR = r"pth\to\save\dir"
for file in glob.glob(
    os.path.join(IMAGE_DIR, "*")
):
    image = imread(file)
    for i, fragment in enumerate(image_fragment):
        # GET DATA THAT BELONGS TO THE FRAGMENT
        fragmented_image = fragment.get_fragment_data(image)
        imsave(
            os.path.join(
                SAVE_DIR,
                f"{i}_{os.path.basename(file)}",
            ),
            fragmented_image,
        )