rasha-salim

rasha-salim

rasha-salim

rasha-salim

rasha-salim

rasha-salim

rasha-salim

rasha-salim

rasha-salim

import hub
from hub.schema import Image
from hub.schema import Tensor
from hub.schema import Mask
from hub.schema import Segmentation

# include your user anme and a name for your dataset
tag = "rasha/landCoverNet_Omdena_Sample"
ds = {}
# Define youe dataset object

rasha-salim

inputs_dir = '/content/landcovernet/inputs'  # The directory where our input resides
targets_dir = '/content/landcovernet/targets' # The directory where our target resides
# First stack all the bands togather

def process_tiffs(inputs_dir, target_dir):
  data = []
  sub_dir_list = []
  images_target = {}
  stacked_imgs = []
  list_bands = []