class_docstr: Dataset for images that provide some often used methods
code: def measure_mean_and_std(images):
      # for every channel in image
      means = []
      stds = []
      # for every channel in image(assume this is last dimension)
      for ch in range(images.shape[-1]):
          means.append(np.mean(images[:, :, :, ch]))
          stds.append(np.std(images[:, :, :, ch]))
      return means, stds
  
file_path: auptimizer/src/aup/Proposer/eas/data_providers/base_provider.py
imports: import numpy
label_desc: Use image node_id 1 for calling the ImagesDataSet obj's underlying member method code with example usage: obj.measure_mean_and_std(images) and returns: means,  stds