code: def compute_depth_index(weights, depth_threshold=0.5):
      """Compute the sample index of the median depth accumulation."""
      opaqueness_mask = compute_opaqueness_mask(
          weights, depth_threshold
      )
      return jnp.argmax(opaqueness_mask, axis=-1)
  
file_path: nerfies/nerfies/model_utils.py
imports: from flax import linen
  from flax import optim
  from flax import struct
  from jax import lax
  from jax import random
  import jax.numpy
label_desc: Use image node_id 6 for calling a global function with example usage: compute_depth_index(weights, depth_threshold) and returns: jnp