class_docstr: Metrics Plugin for TensorBoard.
docstr: Serves an individual image.
docstr_tok: ["Serves","an","individual","image","."]
code: def _serve_image_data(self, request):
      """Serves an individual image."""
      ctx = plugin_util.context(request.environ)
      blob_key = request.args["imageId"]
      if not blob_key:
          raise errors.InvalidArgumentError("Missing 'imageId' field")
  
      (data, content_type) = self._image_data_impl(ctx, blob_key)
      return http_util.Respond(request, data, content_type)
  
imports: import collections
  import imghdr
  import json
  from werkzeug import wrappers
  from tensorboard import errors
  from tensorboard import plugin_util
  from tensorboard.backend import http_util
  from tensorboard.data import provider
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.histogram import metadata
  from tensorboard.plugins.image import metadata
  from tensorboard.plugins.metrics import metadata
  from tensorboard.plugins.scalar import metadata
label_desc: Use image node_id 18 for calling the MetricsPlugin obj's underlying member method code with example usage: obj._serve_image_data(request) and returns: http_util