# Path: video_processing/stream_processor.py
# class Frame(collections.namedtuple('FrameSet', ['index', 'data'])):
# class StreamSet(collections.namedtuple('StreamSet', ['frame_rate_hz',
#                                                      'stream_headers'])):
# class ProcessorBase(object):
#   def __new__(cls, index=0, data=None):
#   def __new__(cls, frame_rate_hz=-1):
#   def __init__(self, configuration):
#   def open(self, stream_set):
#   def process(self, frame_set):
#   def close(self):


import copy
import itertools
import math
import numpy as np
import cv2
import random
from igraph import Graph
from six.moves import range
from video_processing import stream_processor
  # Get a list of the points in the stroke image (relative to the stroke image).
  local_points_list = points_list_from_sub_image(binary_stroke_image)
  # Use the list of points in the stroke and the track of where the cursor was
  # seen while the stroke was being drawn, and the original binarized image to
  # get a list of likely locations for the pen that drew the stroke over time.
  local_pen_locations = find_candidate_pen_locations(
      relative_to_bounding_box(cursor_track, bounding_box), local_points_list,
      binary_stroke_image)

  # Use the list of pen locations, and all the points in the stroke to infer an
  # ordered list of points that can be used to draw the stroke.
  local_stroke = reconstruct_pen_track_from_stroke_points_and_cursor_track(
      local_points_list, local_pen_locations)
  flatten = lambda l: [i for s in l for i in s]
  s = flatten(local_stroke)
  # s = local_pen_locations
  return relative_to_canvas(s, bounding_box)


class StrokeTracker(stream_processor.ProcessorBase):
  """Processor tracking pen strokes in regions."""

  def __init__(self, configuration):
    self._object_stream_name = configuration.get('object_stream_name',
                                                 'objects')
    self._stroke_stream_name = configuration.get('stroke_stream_name',
                                                 'strokes')

  def open(self, stream_set):
    stream_set.stream_headers[

# Path: video_processing/stream_processor.py
# class Frame(collections.namedtuple('FrameSet', ['index', 'data'])):
# class StreamSet(collections.namedtuple('StreamSet', ['frame_rate_hz',
#                                                      'stream_headers'])):
# class ProcessorBase(object):
#   def __new__(cls, index=0, data=None):
#   def __new__(cls, frame_rate_hz=-1):
#   def __init__(self, configuration):
#   def open(self, stream_set):
#   def process(self, frame_set):
#   def close(self):


# Path: video_processing/processors/stroke_tracker.py
import copy
import itertools
import math
import numpy as np
import cv2
import random
from igraph import Graph
from six.moves import range
from video_processing import stream_processor

  # Get a list of the points in the stroke image (relative to the stroke image).
  local_points_list = points_list_from_sub_image(binary_stroke_image)
  # Use the list of points in the stroke and the track of where the cursor was
  # seen while the stroke was being drawn, and the original binarized image to
  # get a list of likely locations for the pen that drew the stroke over time.
  local_pen_locations = find_candidate_pen_locations(
      relative_to_bounding_box(cursor_track, bounding_box), local_points_list,
      binary_stroke_image)

  # Use the list of pen locations, and all the points in the stroke to infer an
  # ordered list of points that can be used to draw the stroke.
  local_stroke = reconstruct_pen_track_from_stroke_points_and_cursor_track(
      local_points_list, local_pen_locations)
  flatten = lambda l: [i for s in l for i in s]
  s = flatten(local_stroke)
  # s = local_pen_locations
  return relative_to_canvas(s, bounding_box)


class StrokeTracker(stream_processor.ProcessorBase):
  """Processor tracking pen strokes in regions."""

  def __init__(self, configuration):
    self._object_stream_name = configuration.get('object_stream_name',
                                                 'objects')
    self._stroke_stream_name = configuration.get('stroke_stream_name',
                                                 'strokes')

  def open(self, stream_set):
    stream_set.stream_headers[

        self._stroke_stream_name] = stream_processor.StreamHeader(